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2281 | Discrete Wavelet Transform (DWT) Denoising of Hyperpolarized 129Xe MR Images | |
Norman B Konyer1, Nayana Menon1, Paul Polak1,2, Parameswaran Nair3,4, Michael D Noseworthy1,2, and Sarah Svenningsen1,3,4 | ||
1Imaging Research Centre, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada, 2Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada, 3Department of Medicine, McMaster University, Hamilton, ON, Canada, 4Firestone Institute for Respiratory Health, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada |
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Hyperpolarized 129Xe MRI is an attractive approach to regionally quantify ventilation, however, it often suffers from low SNR. The use of a wavelet transform algorithm was explored as a way to improve SNR while not compromising image detail. Various wavelets and sparsity parameters were explored, all of which provided a significant improvement in SNR while minimally impacting image detail. |
2282 | Simple Method for Off-Resonance Gas Artifact Removal in 129Xe Gas-Transfer MRI | |
Matthew Willmering1, Peter Niedbalski1, Laura Walkup1,2, Zackary Cleveland1,2, and Jason Woods1,2 | ||
1Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2University of Cincinnati, Cincinnati, OH, United States |
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Hyperpolarized dissolved-phase 129Xe imaging allows pulmonary gas transfer processes to be quantified at multiple stages and physical abnormalities in gas-exchange to be identified in subjects with pulmonary disease. However, the technique is hindered by gas-phase contamination due to imperfect frequency-selective excitation of the 50-fold larger pool of gaseous 129Xe. The previous method to remove this contamination required additional echoes. We present a simple post-acquisition method to remove gas-phase contamination with >90% efficiency. This method can be applied to the standard gas-transfer MRI sequence, thus permitting contamination removal for existing data, facilitating more accurate and consistent hyperpolarized 129Xe gas-transfer imaging. |
2283 | Noninvasive Diagnosis of Pulmonary Hypertension with Hyperpolarized 129Xe Magnetic Resonance Imaging and Spectroscopy | |
Elianna Ada Bier1, Ziyi Wang1, Hamid Chalian2, Joseph Mammarappallil2, John C Nouls2, Leith Rankine3, Junlan Lu3, Bastiaan Driehuys2, and Sudarshan Rajagopal4 | ||
1Biomedical Engineering, Duke University, Durham, NC, United States, 2Radiology, Duke University Medical Center, Durham, NC, United States, 3Medical Physics Graduate Program, Duke University, Durham, NC, United States, 4Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, United States |
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Using unique signatures in 129Xe MR 3D gas exchange imaging and dynamic spectroscopy, we tested an algorithm to detect pulmonary hypertension (PH). The algorithm was developed using a training cohort (n=105) and tested on 25 subjects whose PH status was determined via right heart catheterization. Two expert readers rated scan quality and interpreted each subject’s 129Xe MRI/MRS to determine PH status. Using the 16 patients for which readers rated scan diagnostic quality as 4-5/5, the diagnostic accuracy was 0.84 (sensitivity=0.78, specificity=0.93). This model demonstrates the ability to distinguish subjects with pre-capillary PH from those without PH or with post-capillary PH. |
2284 | Automatic Segmentation of Hyperpolarized Gas MRI via Deep Learning | |
Joshua R Astley1,2, Alberto M Biancardi1, Paul JC Hughes1, Laurie J Smith1, Helen Marshall1, Grace T Mussell1, James Eaden1, Nicholas D Weatherley1, Guilhem J Collier1, Jim M Wild1, and Bilal A Tahir1,2 | ||
1POLARIS, Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 2Department of Oncology and Metabolism, University of Sheffield, Sheffield, United Kingdom |
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Deep learning (DL)-based segmentation was conducted on a total of 431 3He and 129Xe 3D ventilation images using several training paradigms. Combined 3He and 129Xe training showed a significant improvement over all other DL methods. In the majority of DL models, no significant difference was observed between 3He and 129Xe testing data. Results suggest that 3He and 129Xe images share important features that allow combined 3He and 129Xe DL models to provide superior segmentations to singular gas models. In addition, it was shown that DL generates faster segmentations without the requirement of proton MRI compared to state-of-the-art model-based solutions. |
2285 | Regional hyperpolarised 129-xenon MR spectroscopy and diffusion-weighted MRI in patients with idiopathic pulmonary fibrosis | |
James A Eaden1,2, Ho-Fung Chan1, Guilhem J Collier1, Nicholas D Weatherley1, Jim Lithgow1, Oliver Rodgers1, Jody FD Bray1, Graham Norquay1, Stephen M Bianchi2, and Jim M Wild1,3 | ||
1POLARIS, MRI unit, Department of Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 2Academic Directorate of Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom, 3Insigneo institute, University of Sheffield, Sheffield, United Kingdom |
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Preliminary findings are presented from a prospective, longitudinal hyperpolarised 129Xe MRI study of idiopathic pulmonary fibrosis patients. To date, 28 patients have undergone baseline 129Xe DW-MRI and 10 patients have returned for a six-month scan. 14 patients have undergone baseline dissolved 129Xe imaging using IDEAL CSI method. Regional values were produced by separating the lung into three zones. We demonstrate regional differences in 129Xe gas transfer and 129Xe DW-MRI measurements. LmD was found to be more sensitive to longitudinal change than ADC. Over a six-month period, the significant change in mean 129Xe LmD was observed in the lower zone only. |
2286 | Dissolved 129Xe lung MRI with 4-echo IDEAL 3D radial CSI: quantification of regional gas transfer in idiopathic pulmonary fibrosis | |
Guilhem Jean Collier1, James A Eaden1, Paul J Hughes1, Stephen M Bianchi2, Neil J Stewart1, Nick D Weatherley1, Graham Norquay1, Rolf F Schulte3, and Jim M Wild1 | ||
1Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 2Academic directorate of respiratory medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom, 3GE Healthcare, Munich, Germany |
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Imaging of the different resonances of dissolved hyperpolarized xenon in the lung is performed using a 4-echo flyback 3D radial implementation of the IDEAL technique and is evaluated in subjects with idiopathic pulmonary fibrosis. Results show: - excellent chemical shift separation of the dissolved peaks and gas contamination removal, - agreement with global spectroscopic and pulmonary function measurements of gas transfer, - reduced imaging gas transfer, especially in the basal lung, when compared to healthy volunteers, - increased cardiogenic modulation of dissolved xenon signal in the blood. Clinical results are in line with previously-published data. |
2287 | Can Hyperpolarized Gas MRI and Machine Learning Predict Longitudinal Changes in Airflow Limitation in Ex-smokers? | |
Maksym Sharma1, Andrew R. Westcott1, Aaron Fenster1, David G. McCormack2, and Grace Parraga3 | ||
1Department of Medical Biophysics, Western University, London, ON, Canada, 2Department of Medicine, Western University, London, ON, Canada, 3Department of Medical Biophysics, Department of Medicine, Western University, London, ON, Canada |
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Hyperpolarized-gas-MRI provides a way to measure lung ventilation in patients with chronic obstructive pulmonary disease (COPD) in whom progressive worsening of expiratory airflow occurs over time. Progression of COPD is believed to stem from airway wall and lumen changes, airway remodeling or obliteration and emphysema. Our objective was to test machine-learning algorithms trained on hyperpolarized 3He MRI for predicting clinically-relevant FEV1 changes. Novel 3-dimensional adaptations of gray-level run-length-matrices, gap-length-matrices, zone-size-matrices and co-occurrence-matrices were used for feature extraction which lead to the identification of features that predicted changes in airflow limitation (∆FEV1%pred>5%) over a 2.5-year time-period in at-risk and COPD ex-smokers. |
2288 | Assessment of Gas Exchange for Lung Volume Reduction Surgery in an Emphysema Rat Model Using Xenon Polarization Transfer Contrast Imaging | |
Faraz Amzajerdian 1,2, Luis Loza1, Tahmina Achekzai1, Federico Sertic1,3, Yi Xin1,2, Harrilla Profka1, Hooman Hamedani1,2, Ian Duncan1, Stephen J Kadlecek1, Kai Ruppert1, and Rahim R. Rizi1 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 3Surgery, University of Pennsylvania, Philadelphia, PA, United States |
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Lung volume reduction surgery (LVRS) treats emphysema by removing severely emphysematous regions of the lung. Techniques that can better identify which regions of the lung to remove as well as assess the resultant changes in lung function could lead to better surgical outcomes. Here, we explored the feasibility of using hyperpolarized xenon-129 (HXe) MRI for this purpose. Xenon polarization Transfer Contrast (XTC) imaging was used to quantify gas exchange as a metric for assessing the severity and distribution of emphysematous lung regions before and after LVRS. |
2289 | Quantifying Gas Exchange Rates Between Red Blood Cells and Airways Using Hyperpolarized Xenon-129 | |
Faraz Amzajerdian 1,2, Stephen J Kadlecek1, Hooman Hamedani1,2, Yi Xin1,2, Ryan Baron1, Ian Duncan1, Maurizio Cereda1,3, Kai Ruppert1, and Rahim R. Rizi1 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 3Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA, United States |
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Xenon Polarization Transfer Contrast (XTC) imaging is useful for quantifying the exchange rates between gas-phase and dissolved-phase xenon, particularly in emphysematic lungs which experience reduced local tissue and blood volumes. However, this technique does not account for local gas volumes, which can provide important context for interpreting these exchange rates. In this work, a method of incorporating both gas exchange rates and local gas volumes is described. |
2290 | A Multiparametric Functional Map for Monitoring and Predicting Chronic Lung Transplant Rejection | |
Hooman Hamedani1,2, Stephen J Kadlecek1, Ryan Baron1, Faraz Amzajerdian 1,2, Kai Ruppert1, Ian Duncan1, Yi Xin1,2, Mehrdad Pourfathi1, Sarmad Siddiqui1, Luis Loza1, Tahmina Achekzai1, Maurizio Cereda1,3, and Rahim R. Rizi1 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 3Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA, United States |
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mPRM analysis allowed us to distinguish otherwise healthy transplanted lungs and to classify functional abnormalities in lungs compromised by CLAD. |
2291 | Hyperpolarized 129Xe MRI Measures of Gas Exchange in Non-specific Interstitial Pneumonia | |
David Mummy1, Ziyi Wang2, Elianna Bier2, Robert Tighe3, Bastiaan Driehuys1, and Joseph Mammarappallil1 | ||
1Radiology, Duke University, Durham, NC, United States, 2Biomedical Engineering, Duke University, Durham, NC, United States, 3Medicine, Duke University, Durham, NC, United States |
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Hyperpolarized 129Xe gas exchange MRI was used to compare patients with non-specific interstitial pneumonia (NSIP) and healthy controls. NSIP patients had significantly increased interstitial barrier uptake and decreased red blood cell transfer despite preserved ventilation; in some cases, these abnormalities were present without spatially associated CT findings. These results suggest that 129Xe gas exchange MRI is sensitive to disease activity that is not reflected on 129Xe ventilation alone, or on CT. Ongoing analyses will test the ability of this technique to assess response to targeted therapies and guide clinical decision making in NSIP and other interstitial lung diseases. |
2292 | Optimizing Hyperpolarized 129Xe Production under Practical Cryogenic Accumulation Conditions | |
Joseph W Plummer1, Zackary I Cleveland1, Laura Walkup1, Jason W Woods1, Kiarash Emami2, and Andrew Dummer2 | ||
1Center for Pulmonary Imaging, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Polarean Imaging PLC, Durham, NC, United States |
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Following improvements in continuous-flow hyperpolarization technology, 129Xe has shown ever-increasing utility as a pulmonary contrast agent. However, polarization remains constrained by conflicting demands of spin-exchange efficiency and T1 relaxation during cryogenic collection. By collecting 129Xe across a range of practical conditions, we developed model to predict conditions for optimal 129Xe polarization. In many regimes, the benefits of optimal spin exchange efficiency were outweighed by polarization lost to rapid relaxation in polycrystalline 129Xe snow (T1snow = 84 minutes). For 1-L, clinical 129Xe doses, our model suggests optimal polarizations are obtained using accumulation times <30 minutes and relatively rich (2–2.3%) xenon mixtures. |
2293 | Quantitative Assessment of Lung Compliance using both Hyperpolarized 129Xe MRI and Micro-CT | |
Hongchuang Li1, Ming Zhang1, Haidong Li1, Xiuchao Zhao1, Qiuchen Rao1, Xiaoling Liu1, Yeqing Han1, Xianping Sun1, Xinrui Wang2, Chaohui Ye1, Xin Lou2, and Xin Zhou1 | ||
1Wuhan Institute of Physics and Mathematics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy of Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China, 2Department of Radiology, Chinese PLA General Hospital, Beijing, P. R. China, Beijing, China |
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Lung compliance is commonly used in clinical diagnosis of pulmonary fibrosis and emphysema, and it is generally measured using pulmonary function tests (PFTs) in clinic. In this study, the imaging methods including both hyperpolarized 129Xe MRI and micro-CT were used to quantify lung compliance in rats, and the significant correlation was found between these two imaging methods. Our study also demonstrates the feasibility of measuring lung compliance using hyperpolarized 129Xe MRI, which would contribute to fully understanding the lung function changes caused by the pulmonary diseases. |
2294 | Quantitative Evaluation of Changes in Lung Compliance Caused by Fibrosis using Hyperpolarized Gas MRI | |
Ming Zhang1, Haidong Li1, Hongchuang Li1, Xiuchao Zhao1, Yeqing Han1, Xianping Sun1, Chaohui Ye1, and Xin Zhou1 | ||
1National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy of Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China |
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Pulmonary compliance is generally measured using pulmonary function tests (PFTs) in clinical practice. In this study, we proposed a strategy of quantifying pulmonary compliance (Cst-Xe) using hyperpolarized (HP) 129Xe MRI. The Cst-Xe reliably distinguishes the healthy and bleomycin rats, and was correlated well with pulmonary compliance via PFTs and microstructure parameters via HP 129Xe DWI, respectively. The results have demonstrated the feasibility of HP 129Xe MRI in quantitatively and non-invasively assessing the pulmonary compliance, and also have improved the understanding of the lung compliance changes in fibrosis. |
2295 | Imaging Hyperpolarized Xe Changes in the Lung Over a Breathing Cycle Using a Dynamic CSI | |
Tahmina Achekzai1, Stephen J Kadlecek1, Kai Ruppert1, Luis Loza1, Faraz Amzajerdian 1,2, Yi Xin1,2, Ian Duncan1, and Rahim R. Rizi1 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Bioengineering, University of Pennsylvania, Philadelphia, PA, United States |
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We demonstrated a new imaging technique capable of quantifying Xe gas uptake into airways and parenchyma over the course of a breathing cycle. Current imaging techniques acquire entire images at a single breathing point. These methods may not replicate organ function during tidal breathing, and could potentially miss diagnostically important dynamic information depending on the time of acquisition. This sequence traverses the k-space over a series of 576 breaths to produce 12 images at different time points. Three healthy rats were imaged, and Xe signal was found to fluctuate at different times and amplitudes depending on respective lung compartment. |
2296 | Hyperpolarised 129Xe Imaging Using A 0.5T Upright Paramed MRI Scanner. | |
James Harkin1, Robert Irwin1, Joshua McAteer1, Penny Gowland2, Michael Barlow3, and Ian Hall3 | ||
1University of Nottingham, Nottingham, United Kingdom, 2Science, University of Nottingham, Nottingham, United Kingdom, 3Medicine & Health Sciences, University of Nottingham, Nottingham, United Kingdom |
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Using a multinuclear 0.5T Paramed Medical Systems MROpen Upright MRI scanner, 129Xe images have been acquired within the duration of a breath hold. An active SAR monitoring system has been implemented to allow for the safe collection of data within SAR limits of chest imaging. There is the intention of applying compressed sensing to the current 129Xe sequence. The upright and open design of the scanner makes imaging more comfortable for patients and allows for imaging in later stages of respiratory diseases. |
2297 | Pulmonary Ventilation Analysis Using Motion-Resolved Ultrashort Echo (UTE) MRI | |
Fei Tan1, Xucheng Zhu1, and Peder E. Z. Larson1,2 | ||
1Graduate Program in Bioengineering, UC Berkeley - UCSF, San Francisco, CA, United States, 2Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States |
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Pulmonary ventilation analysis using motion-resolved 1H UTE MRI with tissue deformation-based and signal intensity-based methods was conducted for the first time. The ventilation maps derived from both approaches are consistent with each other on healthy volunteers and a pediatric subject with lung abnormality. |
2298 | Dynamic 3D Ventilation Maps with Phase-Resolved Ultrashort Echo Time (UTE) MRI | |
Fei Tan1, Xucheng Zhu1, and Peder E. Z. Larson1,2 | ||
1Graduate Program in Bioengineering, UC Berkeley - UCSF, San Francisco, CA, United States, 2Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States |
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In this abstract, we propose a novel respiratory phase-resolved reconstruction for free-breathing pulmonary 1H UTE MRI. We compute the tissue deformation-based ventilation maps and further use the parametric and non-parametric fitting methods to reduce the noise and registration errors. |
2299 | Feasibility study of nodule conspicuity for lung screening using ultrashort echo time MRI | |
Saori Koshino1,2, Takeharu Yoshikawa3, Yukihiro Nomura3, Soichiro Miki3, Shouhei Hanaoka2, Takeyuki Watadani2, Naoto Hayashi3, and Osamu Abe1,2 | ||
1Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, 2Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan, 3Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, Tokyo, Japan |
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Pulmonary MRI with ultrashort echo time (UTE) is expected to be an alternative to low-dose CT for lung screening. In this study, the feasibility of breath-hold (BH) and respiratory triggered (RT) scans with UTE was investigated. In total, 229 lung MRI examinations that were composed of 136 examinations with a solid nodule (SN) and 93 examinations with a ground-glass nodule (GGN) were evaluated. Both results of qualitative and quantitative assessment suggested that SN was more clearly depicted than GGN. BH scan in pulmonary MRI should be more suitable for lung screening than RT scan. |
2300 | Imaging of lung parenchyma: comparison of UTE3D, ZTE3D vnav, and ZTE4D acquisitions | |
Dorottya Papp1, Piotr A. Wielopolski1, Bernadette B.L.J. Elders2, Pierluigi Ciet1, Mika W. Vogel3, Gyula Kotek1, and Juan Antonio Hernandez-Tamames1 | ||
1Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, Netherlands, 2Pediatrics, Erasmus Medical Center, Rotterdam, Netherlands, 3GE Healthcare, Hoevelaken, Netherlands |
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MRI has recently emerged as a potential clinical tool that can produce high resolution images of structural changes in the lung thanks to the use of ultrashort TE readouts without the ionizing radiation of CT scans [3-6]. Thanks to this developments, pediatric cystic fibrosis (CF) patients can undergo routine monitoring with CT like quality [1]. In this study we investigate three different MRI sequences (UTE, ZTE3D vnav and ZTE 4D). In general, all sequences perform reasonably well though ZTE3D vnav seems to provide the best performance for CF monitoring. |
2301 | Motion-Corrected Pulmonary Imaging Using Spiral UTE Acquisition and Accelerated GROG-XD-GRASP Reconstruction | |
Eddy Solomon1, Li Feng2, Benkert Thomas 3, Moritz Schneider 4, Kai Tobias Block1, Daniel K Sodickson1, and Hersh Chandarana1 | ||
1Radiology, New York University School of Medicine, New York, NY, United States, 2Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Radiology, University Hospital LMU Munich, Munich, Germany |
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Despite recent advances in imaging techniques, respiratory motion remains a major challenge in lung MRI. This work explores ultrashort echo time (UTE) technique based on a stack-of-spirals trajectory for lung MRI. To achieve motion-resolved and high-resolution pulmonary MRI during free breathing, spiral arms were grouped into different respiratory states based on self‐navigator signals. These data were reconstructed with an eXtra-Dimensional (XD) compressed-sensing algorithm that use self-calibrating GRAPPA operator gridding (GROG). The proposed reconstruction pipeline enabled motion-compensated imaging revealing fine details of pulmonary parenchymal anatomy. |
2302 | Reproducibility of functional lung MRI using non-contrast-enhanced 3D-UTE MRI in breath-hold technique | |
Corona Metz1, Julius Frederik Heidenreich1, Andreas Max Weng 1, Thomas Benkert2, Herbert Köstler1, Thorsten Alexander Bley1, and Simon Veldhoen1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital, Würzburg, Germany, 2Application Development, Siemens Healthcare GmbH, Erlangen, Germany |
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Functional and morphologic assessment of lung disease is to date performed separately using pulmonary function testing and mostly radiation-based imaging. UTE MRI is a promising tool for radiation-free pulmonary imaging. Pre-existing invasive functional MRI techniques have been transferred to UTE MRI. For non-invasive combined functional and morphologic imaging, radiation-free 3D-UTE MRI acquired in breath-hold and using stack-of-spirals trajectories enables ventilation measurements with high reproducibility for both tidal and deep fractional ventilation. |
2303 | Assessment of the Ventilation Rate allows for Interindividual Comparability of Ventilation Inhomogeneity in Functional 3D-UTE Lung MRI | |
Julius Frederik Heidenreich1, Andreas Max Weng1, Corona Metz1, Thomas Benkert2, Helge Hebestreit3, Thorsten Alexander Bley1, Herbert Köstler1, and Simon Veldhoen1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital Wurzburg, Wurzburg, Germany, 2Application Development, Siemens Healthcare GmbH, Würzburg, Germany, 3Department of Pediatrics, University Hospital Wurzburg, Wurzburg, Germany |
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Lung imaging with single-breath-hold 3D-UTE MRI allows for lung function analyses such as fractional ventilation (FV). Despite being a promising technique for unenhanced functional imaging, its limited interindividual comparability due to variable breathing depths has been a major drawback. Referencing the voxelwise FV to the mean FV (entire lung) provides the ventilation rate, which can be used for inter-/intraindividual comparison. We demonstrate that the distribution width of the ventilation rate strongly correlates to the ventilation inhomogeneity in patients with cystic fibrosis as measured by the lung clearance index, which makes it a promising parameter for analysis of lung ventilation. |
2304 | Comparison of Capability for Therapeutic Effect Prediction between CEST Imaging and FDG-PET/CT in NSCLC Patients with Chemoradiotherapy | |
Yoshiharu Ohno1,2, Masao Yui3, Daisuke Takenaka4, Yoshimori Kassai3, Kazuhiro Murayama1, and Takeshi Yoshikawa2 | ||
1Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 2Radiology, Kobe University Graduate School of Medicine, Kobe, Japan, 3Canon Medical Systems Corporation, Otawara, Japan, 4Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan |
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No major repots have been evaluated the capability for therapeutic effect evaluation or prediction by chemical exchange saturation transfer (CEST) imaging and compared with FDG-PET/CT. We hypothesized that CEST imaging had equal or better potential for therapeutic effect evaluation and prediction in non-small cell lung cancer (NSCLC) patients with conservative therapy, when compared with FDG-PET/CT. The purpose of this study was to directly and prospectively compare the capability for prediction of therapeutic effect for chemoradiotherapy between CEST imaging and FDG-PET/CT in NSCLC patients. |
2305 | Repeatability and correlation of hyperpolarized xenon-129 and oxygen enhanced MRI parameters in healthy volunteers | |
Paul J.C. Hughes1, Marta Tibiletti2, Matthew J. Heaton2, Ho-Fung Chan1, Guilhem J. Collier1, Matthew Austin1, Laurie J. Smith1,3, Jim Lithgow1, Josephine H. Naish2,4, Jim M. Wild1,5, and Geoff J.M. Parker2,6 | ||
1POLARIS, Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom, 2Bioxydyn, Manchester, United Kingdom, 3Sheffield Children's Hospital NHS Foundation Trust, Sheffield, United Kingdom, 4Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom, 5Insigneo Institute for in silico Medicine, The University of Sheffield, Sheffield, United Kingdom, 6Centre for Medical Image Computing, University College London, London, United Kingdom |
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Hyperpolarised xenon-129 MRI has shown utility in longitudinal assessment of lung structure and function, and has been shown to be a repeatable method. Oxygen enhanced MRI is a cheaper method of imaging different aspects of lung function. This work aimed to assess a single-centre repeatability of multiple metrics from both imaging methods in volunteers, and assess any correlations between xenon-129 and oxygen enhanced metrics of lung function. |
2306 | On gamma variate fitting for perfusion quantification in the lung. | |
Marta Tibiletti1, Jo Naish1,2, Matthew J. Heaton1, Paul JC Hughes3, Jim Wild3, and Geoff JM Parker1,4 | ||
1Bioxydyn Ltd, Manchester, United Kingdom, 2Division of Cardiovascular Sciences, University of Manchester, Manchester, United Kingdom, 3POLARIS, , Academic Radiology, Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom, 4Centre for Medical Image Computing, University College London, London, United Kingdom |
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Application of first pass imaging to the lung is a promising technique. The majority of works apply a Singular Value Decomposition (SVD) with or without a prior fit to a gamma variate function to the concentration-time curve. In this study we compare lung perfusion quantification with and without 2 versions of the gamma-variate fitting in data from 66 patients with Interstitial lung disease. We found that the presence and choice of gamma variate fitting has an influence on perfusion parameters, but this is generally very small, except for mean transit time, suggesting that these approaches are broadly equivalent in practice. |
2307 | Free breathing and breath hold lung T1 is significantly different in pulmonary hypertension subgroups. | |
Laura Saunders1, Andy Swift1, and Jim Wild1 | ||
1University of Sheffield, Sheffield, United Kingdom |
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This work explores lung T1 mapping as a contrast-free, radiation-free method of differentiating subgroups in pulmonary hypertension, measured during both free breathing and inspiration breath hold acquisitions. Inspiration lung T1 mapping is significantly different between patients with pulmonary arterial hypertension (PAH) and chronic thromboembolic PH (CTEPH), as well as between patients with idiopathic PAH and PAH due to connective tissue disease (CTD) and congenital heart disease (CHD). Free breathing lung T1 mapping was also significantly different between patients with IPAH and PAH CTD and CHD and may be useful in patients who struggle to maintain breath hold due to dyspnoea. |
2308 | 129Xe and free-breathing 1H ventilation MRI in patients with cystic fibrosis | |
Helen Marshall1, Laurie J Smith1, Alberto M Biancardi1, Guilhem J Collier1, Andreas Voskrebenzev2, Jens Vogel-Claussen2, and Jim M Wild1 | ||
1POLARIS, Academic Radiology, University of Sheffield, Sheffield, United Kingdom, 2Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany |
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Free-breathing 1H MRI offers a means of producing surrogate ventilation images without use of a contrast agent but more validation against direct ventilation imaging methods such as hyperpolarised gas MRI is required. 24 patients with cystic fibrosis were scanned with 1H and 129Xe ventilation MRI. There were strong correlations between 1H ventilation defect percentage (VDP), 129Xe VDP, lung clearance index and FEV1. 1H VDP was typically smaller than 129Xe VDP with wide limits of agreement (LOA) (bias 2.8%, LOA -13.7%, 19.3%). Both similarities and differences between 129Xe and 1H ventilation images were observed across the range of disease severity. |
2309 | Free breathing 1H MRI Specific Ventilation: Sensitivity to Bronchodilator and Airway Dysfunction in Severe Asthma | |
Dante PI Capaldi1, Norman B Konyer2, Melanie Kjarsgaard3, Michael D Noseworthy2,4, Parameswaran Nair3,5, and Sarah Svenningsen2,3,5 | ||
1Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, United States, 2Imaging Research Centre, St. Joseph’s Healthcare Hamilton, Hamilton, ON, Canada, 3Firestone Institute for Respiratory Health, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada, 4Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada, 5Department of Medicine, McMaster University, Hamilton, ON, Canada |
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Free-breathing 1H MRI–derived specific ventilation (SV) provides a way to visualize regional ventilation, which has been shown to be reduced in asthmatics compared to healthy volunteers. We hypothesized that free breathing MRI–derived SV in severe asthmatics would be sensitive to airway bronchodilation and airway dysfunction, and hence our objective was to measure SV using 1H MRI in healthy volunteers and severe asthmatics pre- and post-bronchodilator and to evaluate the relationship with airway oscillometry measurements. Preliminary results in severe-asthmatics showed that free-breathing 1H MRI–derived SV is sensitive to bronchodilator therapy and may reflect regional small airway pathology. |
2310 | Low-rank and sparse matrix decomposition for accelerated non-contrast-enhanced functional lung MRI | |
Efe Ilicak1, Jascha Zapp1, Lothar R. Schad1, and Frank Zoellner1 | ||
1Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany |
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Lung functions have significant clinical value for diagnosis of pulmonary diseases. Fourier Decomposition is a non-contrast-enhanced method for assessing pulmonary functions from time-resolved images. However, its performance depends on temporal resolution. Here we propose two compressed sensing reconstruction strategies based on low-rank and sparse matrix decomposition. Retrospective demonstrations on in vivo acquisitions demonstrate the performance of these techniques, enabling improved scan efficiency without degrading image quality. |
2311 | Quantification of Hyperpolarized 129-Xe signal fluctuations in a rodent chest restriction model | |
Tahmina S Achekzai1, Steve J Kadlecek1, Yi Xin2,3, Federico Sertic2,4, Luis Loza2, Faraz Amzajerdian 2,3, Kai Ruppert2, Harrilla Profka2, Ian Duncan2, and Rahim R. Rizi2 | ||
1UPenn, Philadelphia, PA, United States, 2Radiology, University of Pennsylvania, Philadelphia, PA, United States, 3Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 4Surgery, University of Pennsylvania, Philadelphia, PA, United States |
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We demonstrated a new imaging technique capable of quantifying Xe gas uptake into airways and parenchyma over the course of a breathing cycle. Most current imaging techniques acquire entire images at a single breathing point. These methods may not replicate organ function during tidal breathing, and could potentially miss diagnostically important dynamic information depending on the time of acquisition. This sequence traverses the k-space over a series of 576 breaths to produce 12 images at different time points. Three healthy rats were imaged, and Xe signal was found to fluctuate at different times and amplitudes depending on respective lung compartment. |
2312 | Applicability of automated cardiac phase sorting for phase resolved functional lung (PREFUL) MRI | |
Lea Behrendt1,2, Andreas Voskrebenzev1,2, Filip Klimeš1,2, Marcel Gutberlet1,2, Hinrich Winther1, Till Kaireit1,2, Tawfik Moher Alsady1,2, Gesa Pöhler1,2, Frank Wacker1,2, and Jens Vogel-Claussen1,2 | ||
1Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany, 2Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany |
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Phase-resolved functional lung (PREFUL) MRI is a promising contrast agent-free 1H method to derive information about perfusion dynamics in free breathing. The analysis includes the segmentation of a main vessel to determine the perfusion phase for reconstruction of a full cardiac cycle. Since manual segmentation can be challenging and time-consuming, an algorithm for automated phase sorting is desirable. In this study such an algorithm is proposed, tested in 34 patients with CF and CTEPH and compared to manual phase sorting. The algorithm was able to perform segmentation in all cases and showed improved phase sorting compared to manual segmentation. |
2313 | Automatic Segmentation of Tumor-related Vessels of Breast Cancer on Ultrafast DCE MRI using U-Net | |
Masako Kataoka1, Takuto Fukutome2, Tomohiro Takemura2, Kango Kawase2, Kojiro Yano3, Maya Honda4, Mami Iima4, Akane Ohashi4, Masakazu Toi5, and Kaori Togashi4 | ||
1Radiology (Diagnostic Imaging and Nuclear Medicine), Kyoto Univ. Hospital, Kyoto, Japan, 2Faculty of Medicine, Kyoto University, Kyoto, Japan, 3Osaka Institute of Technology, Osaka, Japan, 4Kyoto University Graduate School of Medicine, Kyoto, Japan, 5Kyoto University, Kyoto, Japan |
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We aimed to develop a system for automatic segmentation of tumor-related vessels on ultrafast dynamic contrast (UF-DCE) MRI using U-net. Training set consisted of image dataset of 20 MIP images obtained from -15 to +60 sec after contrast injection from 59 patients. Exclusion criteria were those with poor image quality. The dice similarity coefficient was above 0.8 for training set, 0.6 for validation set. Careful analysis of failed cases revealed that inaccurate segmentation of the vessel were caused by low-contrast images, noisy-images, artifact, bright skin line due to incomplete fat suppression, and non-mass enhancement that may mimic vasculature. |
2314 | Classification of Breast Magnetic Resonance Imaging Using 3D Convolution Neural Network: A Pilot Study | |
Cindy Xue1, Gladys Lo1, Victor Ai1, Oilei O.L Wong1, Max W.K Law1, and Jing Yuan1 | ||
1Hong Kong Sanatorium and Hospital, Hong Kong, Hong Kong |
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BIRADS classification is one of the standard of reporting breast MRI. It reveals the information about the likelihood of cancer and management recommendation for the patients. In this study, we aimed to develop and evaluate a 3D convolution neural network (CNN) for breast MRI BIRADS classification. This 3D CNN network was evaluated and it achieved overall 90% classification accuracy. In particular, the network also has high sensitivity (100%) of highly suspicious of malignancy findings. The results suggested that a deep learning-based computerized tool might be useful in BIRADS-MRI classification. |
2315 | Diffusion-Weighted MRI-Based Quantitative Markers for Characterizing Breast Cancer Lesions Using Machine Learning | |
Rahul Mehta1,2, Muge Karaman1,2, Yangyang Bu3,4, Zheng Zhong1,2, Guangyu Dan1,2, Shiwei Wang3,4, Changyu Zhou3,4, Weihong Hu3,4, X. Joe Zhou1,2,5, and Maosheng Xu3,4 | ||
1Center for Magnetic Resonance Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 3The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China, 4The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China, 5Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States |
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We investigate the quantitative markers obtained from the parameters of two diffusion-weighted imaging (DWI) models, continuous-time random-walk (CTRW) and intravoxel incoherent motion (IVIM) models, for differentiating malignant and benign breast lesions. The quantitative markers are extracted from the histograms of each parameter, and then the statistical importance of each marker is determined using a feature importance algorithm. Our results show the Gradient Boosted Classifier (GBC) achieves optimal performance using the top quantitative markers. The statistical histogram features from the parameters of CTRW and IVIM models can be used in a GBC to provide a new avenue in breast cancer diagnosis. |
2316 | Artificial Intelligence Prediction of Breast Cancer Pathologic Complete Response from Axillary Lymph Node MRIs | |
Janice Yang1,2, Thomas Ren1, Hongyi Duanmu3, Pauline Huang1, Renee Cattell1, Haifang Li1, Fusheng Wang3, and Tim Q Duong1 | ||
1Radiology, Stony Brook University, Stony Brook, NY, United States, 2Dougherty Valley High School, San Ramon, CA, United States, 3Computer Science, Stony Brook University, Stony Brook, NY, United States |
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Breast cancer patient response to neoadjuvant chemotherapy cannot be accurately predicted or monitored through imaging, leading to unnecessary treatment and sentinel lymph node biopsies. We developed convolutional neural networks to predict pathologic complete response utilizing a combination of axillary lymph node MRIs from before and during treatment. 3-fold cross validation reveals that the model trained on scans before and after the first cycle of neoadjuvant chemotherapy performed best with an accuracy of 81.17%. These results point to improved predictive performance of early imaging markers in axillary lymph nodes and encourages its implementation to aid treatment planning and improve prognosis. |
2317 | Implementing compressed sensing with deep image prior to reconstruct undersampled dynamic contrast-enhanced MRI data of the breast | |
Kalina P Slavkova1, Julie C DiCarlo2,3, David M Van Veen4, Anum K Syed5, Ajil Jalal4, John Virostko6, Anna G Sorace7, Alexandros G Dimakis4,8, and Thomas E Yankeelov2,5,6,9 | ||
1Physics, University of Texas at Austin, Austin, TX, United States, 2Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, United States, 3Livestrong Cancer Institutes, University of Texas at Austin, Austin, TX, United States, 4Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, United States, 5Biomedical Engineering, University of Texas at Austin, Austin, TX, United States, 6Medicine, University of Texas at Austin, Austin, TX, United States, 7Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, United States, 8Wireless Networking and Communications Group, University of Texas at Austin, Austin, TX, United States, 9Oncology, University of Texas at Austin, Austin, TX, United States |
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We evaluate the ability of the compressed sensing with deep image prior (CS-DIP) algorithm to reconstruct undersampled dynamic contrast-enhanced MRI data of the breast. The performance of the reconstruction is evaluated by comparing quantitative parameters computed from the reconstructed data to the original parameter values computed from fully-sampled data. We hypothesize that CS-DIP will enable dramatically fewer k-space measurements, thereby allowing for higher temporal (while maintaining spatial) resolution of breast MRI scans. |
2318 | Automatic Detection and Segmentation of Breast Cancer on MRI Using Mask R-CNN Trained on Non-Fat-Sat Images and Tested on Fat-Sat Images | |
Yang Zhang1, Jiejie Zhou2, Youngjean Park3, Siwa Chan4, Meihao Wang2, Min Jung Kim3, Kai-Ting Chang1, Peter Chang1, Daniel Chow1, Jeon-Hor Chen1,5, and Min-Ying Su1 | ||
1Department of Radiological Science, University of California, Irvine, CA, United States, 2Department of Radiology, First Affiliate Hospital of Wenzhou Medical University, Wenzhou, China, 3Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea, Republic of, 4Department of Medical Imaging, Taichung Tzu-Chi Hospital, Taichung, Taiwan, 5Department of Radiology, E-Da Hospital and I-Shou University, Kaohsiung, Taiwan |
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The mask R-CNN algorithm was implemented to search entire images to identify suspicious lesions for further evaluation of malignancy probability. One training (N=98, Siemens 1.5T, non-fat-sat) and two independent testing (N=241, Siemens 3T, non-fat-sat; and N=91, GE 3T, fat-sat) datasets were used. The pre-contrast and subtraction image, and the subtraction image of the contralateral breast, were used as three inputs. The training set had a total of 1353 positive slices (containing lesion), 8055 negative slices without lesion. The 10-fold cross-validation showed accuracy=0.80 and mean DSC= 0.82. The accuracy was 0.73 and 0.62 for two testing datasets, lower for fat-sat images. |
2319 | Background Parenchymal Enhancement (BPE) classification on Breast MRI using Deep Learning | |
Sarah Eskreis-Winkler1, Katja Pinker1, Donna D'Alessio1, Katherine Gallagher1, Nicole Saphier1, Danny Martinez1, Elizabeth Sutton1, and Elizabeth Morris1 | ||
1Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Breast cancer risk in high risk women is significantly increased for those with high background parenchymal enhancement (BPE) compared to low BPE, yet there is only fair to moderate inter-rater agreement for BPE assessment among radiologists, limiting the use of BPE as a marker of cancer risk. We developed a deep learning algorithm that classifies BPE with high accuracy. The algorithm works best when sub-MIPs, not MIPs, are used as network inputs. The algorithm has potential to autopopulate breast MRI reports in our breast imaging clinic, and ultimately to standardize BPE as a marker of breast cancer risk. |
2320 | Shortening Diagnostic T2w Breast Protocols to Capitalize on the Benefits of a Deep Learning Reconstruction | |
Timothy J Allen1, Leah C Henze Bancroft2, Roberta M Strigel1,2,3, Ty Cashen4, Orhan Unal2, Frank R Korosec1,2, Ping Wang1, Lloyd Estkowski4, Fred Kelcz2, Amy M Fowler1,2,3, R Marc Lebel4, and James Holmes2 | ||
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, United States, 4Global MR Applications and Workflow, GE Healthcare, Madison, WI, United States |
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A SSFSE-based fast acquisition was used in conjunction with a vendor-supplied, deep learning-based reconstruction to obtain T2-weighted images (Rapid T2w+DL) for diagnostic breast MRI. Radiologists compared the Rapid T2w+DL images to standard-of-care T2w FSE images assessing both image quality and utility in completing a typical clinical task. The fast acquisition provided a reduction in average scan time from 3:35 (min:sec) to 1:16 (64%). Deep learning was used to alleviate issues associated with the fast protocol (e.g. blurring and reduced SNR). Rapid T2w+DL images allowed for completion of the clinical task with results comparable to those obtained with standard T2w images. |
2321 | Comparison of Breast Cancer Diagnostic Performance Using Radiomics Models Built Based on Features Extracted from DCE-MRI and Mammography | |
Jiejie Zhou1, Yang Zhang2, Kyoung Eun Lee3, Jeon-Hor Chen2, Xiaxia He1, Nina Xu1, Shuxin Ye1, Ouchen Wang1, Jiance Li1, Yezhi Lin4, Meihao Wang1, and Min-Ying Su2 | ||
1First Affiliate Hospital of Wenzhou Medical University, Wenzhou, China, 2University of California, Irvine, CA, United States, 3Inje University Seoul Paik Hospital, Seoul, Korea, Republic of, 4Wenzhou Medical University, Wenzhou, China |
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A total of 89 patients receiving both DCE-MRI and mammography were analyzed, including 56 malignant and 33 benign lesions. The 3D tumor mask on MRI was generated using computer algorithms. A total of 99 texture and histogram features were extracted from three DCE parameters maps. The suspicious area on mammography was outlined using MRI findings as guidance, and a similar radiomics method was applied to extract features from the mass and the margin. Random forest was applied to select features for building diagnostic models. The overall accuracy was 0.80 for MRI, 0.75 for mammography, and improved to 0.85 when combined. |
2322 | Inter-reader variability in Breast MRI Radiomics | |
Michael James Fox1, Roberto Lo Gullo2, Isaac Daimiel Naranjo2, Carolina Saccarelli2, Almir Bitencourt2, Katja Pinker-Domenig2,3, and Peter Gibbs2 | ||
1Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Wien, Austria |
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The purpose of this study was to investigate the effect of choice of radiologist on radiomics in breast MRI. Two cohorts of 100 patients each had breast lesions segmented by 4 independent radiologists, and these segmented images used to produce 101 radiomic features. over 90% of all features were found to have good or excellent agreement across readers, and a similar number of highly significant U-test were found for all readers. Differences between reader interpretation exist, however, they would not appear to effect the ability to distinguish between benign or malignant lesions. |
2323 | Diagnosis of Non-Mass-Like Enhancement Lesions on DCE-MRI by Using Quantitative Radiomics and Radiologists’ BI-RADS Reading | |
Meihao Wang1, Yang Zhang2, Jiejie Zhou1, Haiwei Miu1, Nina Xu1, Xiaxia He1, Shuxin Ye1, Huiru Liu1, Ouchen Wang1, Jiance Li1, Yezhi Lin3, and Min-Ying Su2 | ||
1First Affiliate Hospital of Wenzhou Medical University, Wenzhou, China, 2University of California, Irvine, Irvine, CA, United States, 3Wenzhou Medical University, Wenzhou, China |
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A total of 105 lesions, 70 malignant and 35 benign, presenting as non-mass-like enhancements were analyzed. Two radiologists gave the BI-RADS reading for the morphological distribution and the internal enhancement pattern. For each case, the 3D tumor mask was generated using FCM clustering algorithm with connective labeling and hole filling. Three DCE parameters maps were generated from the images, and PyRadiomics was applied to extract a total of 321 features for each case. The diagnostic model was built using SVM with 10-fold cross-validation. The accuracy of the radiomics model was 82%, higher compared to 72% built with the BI-RADS reading. |
2324 | Prediction axillary lymph node status of Breast Cancer by MRI Radiomics | |
Lan Li1, Tao YU1, ShiXi Jiang1, YouXi Yuan1, JiuQuan Zhang1, and Jianqing SUN2 | ||
1Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, ChongQing, China, 2Philips Healthcare, Shanghai, China |
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To establish a radiomic model based on dynamic contrast enhanced (DCE) magnetic resonance imaging predicting ALN status noninvasively before operation. |
2325 | Combination of curve types, shape and gray level co-occurrence matrix features on breast MR to differentiate mass-like DCIS from invasive cancer | |
Kun Cao1, Ying li1, and Ying-Shi Sun1 | ||
1Peking University Cancer Hospital & Institute, Beijing, China |
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For radiologists, mass-like DCIS on breast MRI is unable to be distinguished from invasive ductal cancer by bare eyes. However, different treatment strategies for these two entities pushed us to do the differentiation using innovative approaches. By combining usage of tumor dynamic curve type on DCE, whole tumor shape features and features from GLCM to reflecting heterogeneity inside certain areas on MR images, we were able to achieve diagnostic accuracy 84.7% in telling DCIS from IDC in mass-like lesions, by using only one feature from each categories. |
2326 | Improvement of Radiomics Prediction by Robustness Preselection | |
Renee Cattell1, Shenglan Chen2, Jie Ding2,3, and Chuan Huang2,4,5 | ||
1Stony Brook University, Stony Brook, NY, United States, 2Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 3Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong, 4Radiology, Stony Brook University, Stony Brook, NY, United States, 5Psychiatry, Stony Brook University, Stony Brook, NY, United States |
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Radiomic analysis has exponentially increased the amount of quantitative data extractable from a single medical image. However, the effect of various image acquisition conditions on the reproducibility or robustness of these features is understudied. Specifically, when generating a predictive model to be used in a multi-institutional setting, it must be robust to voxel size changes. This study aims to develop a task-specific robustness preselection step for incorporation into radiomics pipeline to improve the generalizability of a model applied to a testing set of dissimilar resolution. |
2327 | Textural kinetics of suspicious breast lesions on ultrafast DCE-MRI as a lesion classifier | |
Federico Pineda1, Ty Easley1, Deepa Sheth1, Hiroyuki Abe1, Milica Medved1, and Gregory Karczmar1 | ||
1University of Chicago, Chicago, IL, United States |
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MRI will likely take on a greater role in breast cancer screening. However, one of the main concerns with MRI's expanded role is that it will lead to many false positives. This work aims to alleviate this problem by leveraging the advantages of ultrafast imaging of initial enhancement. Here we calculated parameters descriptive of the texture of enhancement and its changes throughout the ultrafast series. The results show that 4-D texture parameters may be useful in classifying suspicious lesions (AUC=0.75), the resulting model could have ruled out malignancy in 18% of the benign lesions analyzed, while maintaining 100% sensitivity. |
2328 | Multi-exponential model of diffusion signal in healthy and cancerous breast tissue with fixed ADCs | |
Ana Elvira Rodríguez-Soto1, Maren M. Sjaastad Andreassen2, Christopher Charles Conlin1, Helen Park3, Igor Vidic4, Neil Peter Jerome4,5, Agnes Østlie5, Tone Frost Bathen2,5, Pål Erik Goa4,5, Tyler Seibert6, Michael Hahn1, Anders Martin Dale7, and Rebecca Rakow-Penner1 | ||
1Department of Radiology, University of California, San Diego, La Jolla, CA, United States, 2Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 3School of Medicine, University of California, San Diego, La Jolla, CA, United States, 4Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway, 5Department of Radiology and Nuclear Medicine, St. Olav's University Hospital, Trondheim, Norway, 6Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla, CA, United States, 7Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States |
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Breast DWI has shown great potential to become a contrast-free diagnostic tool for breast cancer. The purpose of this work was to determine a unified model to describe the diffusion signal of cancer and healthy breast tissues, and compare tumor conspicuity of model components to DCE-MRI and DWI estimates. Multi-exponential models with fixed ADCs were determined and the weights of each component estimated. Tumor conspicuity, defined as contrast-to-noise ratio, was found to be ~3 times higher in DCE-MRI than in the weights of multi-exponential components. This model may increase the sensitivity and specificity of DWI for breast cancer diagnosis. |
2329 | DWI or dynamic contrast-enhanced curve: a retrospective analysis of MRI-based differential diagnosis of benign and malignant breast lesions | |
Xiaoping Yang1, Lina Zhang1, Shu Li1, Ruimei Chai1, Zheng Zhang1, Nan Li1, and Mengshi Dong1 | ||
1Department of Radiology, the First Affiliated Hospital of China Medical University, Shenyang, China |
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Combined with morphological and enhanced information, DWI model is superior or equal to TIC model in differentiating benign and malignant breast lesions. |
2330 | Discrimination of breast cancer from healthy breast tissues using a tri-exponential model | |
Maren Marie Sjaastad Andreassen1, Ana Elvira Rodriguez-Zoto2, Cristopher Charles Conlin2, Igor Vidic3, Grace Sora Ahn4, Neil Peter Jerome1,5, Agnes Østlie5, Tone Frost Bathen1,5, Pål Erik Goa3,5, Rebecca Rakow-Penner2, and Anders Martin Dale2,6 | ||
1Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 2Department of Radiology, University of California, San Diego, La Jolla, CA, United States, 3Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway, 4School of Medicine, University of California, San Diego, La Jolla, CA, United States, 5Department of Radiology and Nuclear Medicine, Norwegian University of Science and Technology, Trondheim, Norway, 6Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States |
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The purpose of this work was to develop a method to discriminate breast cancer from healthy breast tissues using signal contribution maps from multi-b diffusion MRI acquisitions. Signal contributions were estimated using a tri-exponential model, with the ADC values for three distinct compartments assumed fixed across voxels and subjects. A linear discriminant function was constructed using the estimated signal contributions from the two lowest ADC components. Average ROC AUC for discriminating cancer from healthy breast tissues was 0.99 (CI95% = 0.98-1.00), superior to that of independent signal contributions, maximum b-value volume and conventional DWI estimates (ADC and apparent diffusion kurtosis). |
2331 | Diffusion-weighted imaging using multiplexed sensitivity encoding (MUSE) in breast cancer: comparison with single-shot echo-planar imaging | |
Gabrielle C Baxter1, Andrew J Patterson2, Ramona Woitek1, Amy J Frary1, Gavin C Houston3, Martin J Graves2, and Fiona J Gilbert1 | ||
1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2Department of Radiology, Addenbrooke's Hospital, Cambridge, United Kingdom, 3GE Healthcare, Buckinghamshire, United Kingdom |
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Diffusion-weighted images acquired using single-shot echo-planar imaging (ss-EPI) often have a low resolution and are limited by blurring and distortion. This study investigated the use of MUSE (multiplexed sensitivity encoding), a multi-shot segmented-EPI technique, in the detection and characterisation of breast cancer. MUSE showed an improvement in image quality and an increased separation of malignant from benign lesions using the normalised apparent diffusion coefficient (ADC). |
2332 | Multiparametric approach of diagnosing breast lesions using DWI and ultrafast DCE MRI: compared with conventional DCE MRI | |
Akane Ohashi1, Masako Kataoka1, Mami Iima1, Maya Honda1, Ayami Ohno Kishimoto1, Rie Ota1, Kanae Kawai Miyake1, Masakazu Toi2, and Kaori Togashi1 | ||
1Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, 2Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan |
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Ultrafast dynamic contrast-enhanced (UF-DCE) MRI allows us to obtain kinetic information based on early inflow of contrast medium. A prediction model of diagnosing malignancy using maximum slope (MS) derived from UF-DCE MRI, ADC from DWI, lesion size and patient’s age was constructed. The second model using washout index (WI) derived from conventional DCE MRI instead of MS was constructed for comparison. The two multiparametric prediction models achieved almost the same AUC (AUC 0.91 vs 0.89, p=0.20). The multiparametric approach based on UF-DCE MRI, DWI and patient’s age provided excellent diagnostic performance with decreased scanning time. |
2333 | A Pilot Evaluation of IVIM Imaging Combined with DCE-MRI Characterize Architectural Distortion Detected on Mammography | |
deshuo dong1, lina zhang1, ailian liu1, qingwei song1, nan zhang1, anliang chen1, yan guo2, and lizhi xie2 | ||
1Radiology Department, The First Affiliated Hospital of Dalian Medical University, DaLian, China, 2GE Healthcare, MR Research China, Beijing, Beijing, China |
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Intravoxel incoherent motion (IVIM) imaging provides quantitative measurement of cellularity and vascularity. The parameters derived from IVIM can distinguish malignant and benign breast tumors. This study concerned clinical and conventional MRI features, perfusion as well as diffusion parameters using IVIM imaging, and then compared these parameters to conventional MRI images on the classification of Architectural Distortion lesions detected on Mammography. |
2334 | Pre-surgical evaluation of residual cancer by breast MRI after neoadjuvant systemic treatment with High-resolution Diffusion Weighted Imaging | |
Rie Ota1, Masako Kataoka1, Maya Honda1, Ayami Ohno Kishimoto1, Akane Ohashi1, Mami Iima1, Kanae Miyake Kawai1, Tatsuki R Kataoka2, Masakazu Toi3, and Kaori Togashi1 | ||
1Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University graduate school of medicine, Kyoto, Japan, 2Department of Pathology, Kyoto University Hospital, Kyoto, Japan, 3Department of Breast Surgery, Kyoto University Hospital, Kyoto, Japan |
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We aimed to investigate the accuracy of high resolution-DWI (HR-DWI) using rs-EPI in estimating residual lesion size after neoadjuvant systemic treatment (NST) using pathological information as a reference. Diagnosis of pCR by two readers were accurate in 83/79 % with HR-DWI, while 50/46 % on HR-CE MRI. Spearman’s correlation coefficient between size on pathology and that on HR-DWI were 0.79 (p<0.0001), indicating strong correlations. Spearman’s correlation coefficient between size on pathology and that on HR-CE-MRI were 0.68 (p<0.0001). Using HR-DWI, residual lesions were depicted with good agreement with the pathology without using contrast agent. |
2335 | Approach for building a DWI dedicated lexicon for breast cancer | |
Aika Okazawa1, Mami Iima1,2, Ryosuke Okumura1, Masako Kataoka2, Taro Nishi1, Tomotaka Noda1, Sachiko Takahara3, and Kaori Togashi2 | ||
1Radiology, Kitano Hospital, The Tazuke Kofukai Medical Research Institute, Osaka, Japan, 2Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, 3Breast Surgery, Kitano Hospital, The Tazuke Kofukai Medical Research Institute, Osaka, Japan |
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Our proposed DWI reading method based on the BI-RADS lexicons from multiple b-value images had comparable diagnostic performance to the standard BI-RADS. DWI reading method tended to show with higher specificity, and might increase diagnostic confidence in differentiating malignant and benign breast tumors. Excellent to substantial agreement was observed for DWI reading, and substantial agreement was found for mass type classifications between DWI and BI-RADS. Significant difference found in lesion conspicuity between malignant and benign tumors and ADC values assessmet may also provide confidence in tumor characterization. |
2336 | Diffusion-Weighted Breast MRI in the Supine Position | |
Catherine J. Moran1, Matthew J. Middione1,2, Valentina Mazzoli1, Bruce L. Daniel1, Daniel B. Ennis1,2, and Brian A. Hargreaves1 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Veterans Administration Health Care System, Palo Alto, CA, United States |
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Diffusion-Weighted Imaging has shown strong potential to be the centerpiece of a breast MRI screening protocol that does not require a contrast injection. Breast MRI is conventionally performed in the prone position but supine positioning could increase patient comfort and alignment of MRI findings with other interventional procedures. Here we investigate six multi-shot DWI breast protocols with supine positioning in assymptomatic volunteers. Over all images quality and trade-offs between motion artifacts, distortion and images sharpness are characterized. |
2337 | A Reader Study Comparing the Quality of High-Resolution Diffusion Weighted Imaging Methods for Breast MRI | |
Jessica A McKay1,2, An L Church3, Nathan Rubin4, Tim H Emory3, Noelle F Hoven3, Jessica E Kuehn-Hajder3, Michael T Nelson3, and Patrick J Bolan2,3 | ||
1Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States, 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 3Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 4Masonic Cancer Center, University of Minnesota, Minneapolis, MN, United States |
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Axially reformatted (AR) SMS can provide full-coverage breast DWI with high quality and 1.25 mm isotropic nominal resolution. In this work we assess the image quality of AR-SMS in a clinical setting and compare it with a standard clinical sequence and RS-EPI. Three radiologists scored DWI and ADC maps from 30 patients with enhancing lesions. All three readers scored AR-SMS with the highest quality and ranked it as superior most frequently. Accounting for reader and subject effects, a linear mixed model found that AR-SMS outperformed RS-EPI, which both outperformed the Standard with statistical significance in both quality score and rank. |
2338 | Comparative Analysis of the Value of APTWI and IVIM in Evaluating the Benign and Malignant Breast Lesions: A pilot study | |
Nan Meng1, Xuejia Wang2, Dongming Han2, Jing Sun3, Meng Zhang2, Kaiyu Wang4, and Meiyun Wang*5 | ||
1Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China, 2Department of MRI, the First Affiliated Hospital of Xinxiang Medical University, Weihui, China, 3Department of Pediatrics, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China, 4GE Healthcare, MR Research China, Beijing, China, 5Department of Radiology, Zhengzhou University People’s Hospital & Henan Provincial People’s Hospital, Zhengzhou, China |
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Amide proton transfer-weighted imaging (APTWI) has unique advantages in displaying the metabolism of diseased proteins. Intravoxel incoherent motion (IVIM) method is able to obtain a variety of quantitative parameters, including D, D* and f values, which reflect the perfusion and diffusion information of the tissues. Our results show that APTWI and IVIM have similar diagnostic performance in the diagnosis of benign and malignant breast tumors. |
2339 | Accelerating Acquisition of RESOLVE-DWI with Simultaneous Multi-slice (SMS) Technique in Diagnosing Breast Lesions | |
TAO AI1 and Liming Xia1 | ||
1Radiology, Tongji Hospital, Tongji Medical College, HUST, Wuhan, China |
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Readout-segmented echo planar imaging (RESOLVE) has demonstrated its high diagnostic performance in breast with sharper Images, better lesion-background contrast and higher spatial resolution. However, long scan time (multi-shot strategy) may significantly decrease its clinical application due to possible motion artifacts and limitation of more complex diffusion approaches. Simultaneous multi-slice (SMS) technique allows for rapid realization of breast MR imaging, which may serve as a superior alternative for the diagnosis of breast lesions. In study , SMS was implemented into DWI to reduce the scan time by factor of 2-4, while maintaining the same anatomic coverage and basic image quality. |
2340 | Simultaneously acquired DWI and PET for early prediction of pathological response to neoadjuvant chemotherapy in breast cancer | |
Yee-Fan Lee1, Jo-Yu Chen1, Ning Chien1, Emi Niisato2, Robert Grimm3, Chiao Lo4, Ming-Yang Wang4, Chiun-Sheng Huang4, and Yeun-Chung Chang1 | ||
1Department of Medical Imaging, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan, 2Siemens Healthcare Limited, Taipei, Taiwan, 3Siemens Healthcare, Erlangen, Germany, 4Department of Surgery, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan |
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Neoadjuvant chemotherapy (NAC) for treatment of breast cancer has the potential benefit of reducing tumor size before surgery. The response to NAC may also provide prognostic information which may lead to more effective chemotherapy. Combining PET and MRI information is useful for assessing the tumor response to NAC in a comprehensive manner. In this study, we performed texture analysis which indicated that the entropy of ADC and difference entropy of SUV were related and can be used to predict pCR with high areas under the receiver operating characteristic curve (AUC).
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2341 | Rapid 3D B1+-Compensated, Simultaneous Whole Breast T1, T2, and Apparent Diffusion Coefficient Quantification with MR Multitasking | |
Sen Ma1,2, Anthony G. Christodoulou2, Nan Wang1,2, and Debiao Li1,2 | ||
1Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 2Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States |
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Quantitative relaxation and diffusion mapping are desirable in clinical breast MRI as biomarkers for tissue characterization and prediction of treatment response. Conventional multi-parametric mappings are typically acquired in separate scans. We simultaneously generate high quality, co-registered T1/T2/ADC maps without image distortion for 3D whole breast coverage in 8.5min, incorporating B1+ compensation into the Multitasking framework to improve T1 accuracy. We demonstrate excellent agreement of T1/T2/ADC measurements between the proposed Multitasking approach and available reference methods, as well as good repeatability. We also show that all T1/T2/ADC measurements produced by the Multitasking framework agree with literature range. |
2342 | Evaluating the accuracy of time-domain Voigt fitting of dissolved-phase 129Xe spectra in the lungs | |
Graham Norquay1 and Jim M Wild1 | ||
1POLARIS, Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom |
||
This work quantifies the accuracy of time-domain Voigt fitting of dissolved-phase 129Xe peak parameters (xenon in red blood cells and tissue/blood plasma). It is shown that time-domain Voigt fitting of dissolved-phase 129Xe resonances in the lungs is accurate to within 5% when the SNR values of the spectra are >100 and the gas phase resonance amplitude is < factor of 2 higher than each of the dissolved-phase 129Xe resonances. |
2343 | Quantify the Influence of Smoking on Pulmonary Structure and Function in Lung Cancer Patients using Hyperpolarized 129Xe MR | |
Qian Zhou1, Haidong Li1, Qiuchen Rao1, Junshuai Xie1, Xiuchao Zhao1, He Deng1, Lei Shi1, Xianping Sun1, Yeqing Han1, Dongshan Han2, Xin Lou2, Chaohui Ye1, and Xin Zhou1 | ||
1National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy of Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China, 2Department of Radiology, Chinese PLA General Hospital, Beijing, P. R. China, Beijing, China |
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Pulmonary diseases, such as lung cancer, usually result in changes of pulmonary structure and function. To assess these changes, gas exchange across the respiratory membrane and gas diffusion in the alveoli can be quantified using hyperpolarized 129Xe MR via CSSR and DWI in lung cancer patients, The significant differences were found in mean exchange time constant(T) and septal wall thickness(d) between smoking and non-smoking lung cancer patients, indicating the impact of smoking. The results manifested that the hyperpolarized 129Xe MR is a promising method for optimizing radiation therapy in the future. |
2344 | Resolving the discrepancy between theoretical and experimental polarization of HP 129Xe using numerical simulations and optical spectroscopy | |
Michele Kelley1, Alex Burant1, and Rosa Tamara Branca1 | ||
1Physics and Astronomy, University of North Carolina - Chapel Hill, Chapel Hill, NC, United States |
||
For emerging biomedical applications of hyperpolarized xenon, the ability to obtain high nuclear spin polarization levels is imperative. Yet, experimental nuclear spin polarization levels of xenon obtained by continuous flow spin-exchange optical pumping are highly variable and often well below theoretical predictions. Identifying possible depolarization mechanisms has been the focus of those trying to rectify this discrepancy. Instead, we revisit assumptions made about the physical system. By using a combination of numerical simulations and in situ optical spectroscopy measurements, we found that lower Rb densities and shorter residence times than typically assumed lead to lower, not higher, theoretical polarization values. |
2345 | Measuring Ventilation and Gas Exchange Rates with Hyperpolarized 129Xe During Tidal Breathing in Human Subjects | |
Hooman Hamedani1,2, Stephen J Kadlecek1, Faraz Amzajerdian 1,2, Ryan Baron1, Kai Ruppert1, Ian Duncan1, Yi Xin1,2, Mehrdad Pourfathi1, Sarmad Siddiqui1, Luis Loza1, Tahmina Achekzai1, Maurizio Cereda1,3, Rahim R. Rizi1, and fmig upenn4 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 3Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA, United States, 4University of Pennsylvania, Philadelphia, PA, United States |
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A super multibreath maneuver to measure ventilation and gas exchange during tidal breathing in human subjects. |
2346 | Evaluation of Ventilation Function Using 3D Ultrashort Echo-Time Imaging Without Exogeneous Gases | |
Seokwon Lee1, Jinil Park1, Hyonha Kim2, Ho Yun Lee3, and Jang-Yeon Park1,4 | ||
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea, 2Department of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea, 3Department of Radiology and Center for Imaging Science, Samsung Medical Center, Seoul, Republic of Korea, 4Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Republic of Korea |
||
Lung MRI is widely used for diagnosis pulmonary disease, there has been continuing interest in the possibility of using MRI to detect the pulmonary lesion. Recent works acquired ventilation defect region using ventilation map. Here we proposed another method, which evaluates ventilation flow map and regional fractional ventilation flow-volume loop using 3D UTE. These methods provide valuable information to evaluate pulmonary ventilation function as well as ventilation map. The potential of methods was demonstrated by different ventilation flow map and regional fractional ventilation flow volume loops in healthy subjects. |
2347 | The Impact of Acquisition Parameters on Alveolar Septal Wall Thickness Measurements with Hyperpolarized Xenon-129 MRI | |
Kai Ruppert1, Faraz Amzajerdian1, Yi Xin1, Hooman Hamedani1, Luis Loza1, Tahmina S. Achekzai1, Ryan J. Baron1, Ian F. Duncan1, Harrilla Profka1, Yiwen Qian1, Mehrdad Pourfathi1, Federico Sertic1, Stephen Kadlecek1, and Rahim R. Rizi1 | ||
1Radiology, University of Pennsylvania, Philadelhia, PA, United States |
||
Measurements of the apparent alveolar septal wall thickness (SWT) with hyperpolarized xenon-129 (HXe) MRI are sensitive to inflammatory or fibrotic pathologies in the lung parenchyma but are also affected by lung inflation level. Here, we investigated the dependence of such measurements on the choice of acquisition parameters in a rabbit model. We found the SWT measurements to be strongly affected by the imaging parameters: in particular, the number and flip angle of the applied RF pulses centered at the dissolved-phase resonances. If this bias is minimized, the previously reported dependence of septal thickness measurements on lung inflation disappears. |
2348 | Fast Advanced Spin-Echo vs. Echo-Planar Imaging: DWI at 3T MR System for Postoperative Clinical Outcome Prediction in NSCLC Patients | |
Yoshiharu Ohno1,2, Masao Yui3, Daisuke Takenaka4, Yoshimori Kassai3, Kazuhiro Murayama1, and Takeshi Yoshikawa2 | ||
1Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 2Radiology, Kobe University Graduate School of Medicine, Kobe, Japan, 3Canon Medical Systems Corporation, Otawara, Japan, 4Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan |
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No one has compared the capability among DWIs obtained by EPI and FASE at a 3T MR system and PET/CT for prediction of postoperative clinical outcome. We hypothesize that DWI obtained by FASE sequence are more useful than that by EPI sequence at 3T MR system and PET/CT for predicting postoperative recurrence and treatment outcome in NSCLC patients with surgical treatment. The purpose of this study was to directly and prospectively compare the quantitative capability for prediction of postoperative recurrence and treatment outcome among DWI with FASE and EPI sequences at 3T system and FDG-PET/CT in NSCLC patients. |
2349 | 3D and 2D MRI sequences of lung nodules: comparison of capability for nodule detection and image quality evaluation | |
Shuyi Yang1, Qinqin Yan1, Fei Shan1, Zhiyong Zhang2, Yuxin Shi1, and Mengxiao Liu3 | ||
1Shanghai public health clinical center, Shanghai, China, 2Fudan University, Shanghai, China, 3Scientific Marketing, Diagnositic Imaging, Siemens Healthcare Ltd., Shanghai, China |
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This study aimed to evaluate the capability of different non-enhanced MRI sequences for lung nodules assessment. Sensitivity and specificity from MR images were calculated, with CT regarded as golden standard. The sensitivities by T1-starVIBE, T1-VIBE, T2-fBLADE TSE and T2-SPACE were 79.79%, 75%, 88.3%, 89.89%, while the specificity were 100%, 83.33%, 33.33%, 53.33% respectively. In conclusion, for uncooperative patients who can’t hold their breath, T1-starVIBE and T2-fBLADE were advised because of the excellent ability to remove artifacts. T1-VIBE can applied to those who coordinate well. All those three sequences can be used for pulmonary nodules assessment and long-term follow-up in clinical. |
2350 | Native T1-mapping of focal pulmonary lesions in 3.0-T magnetic resonance imaging: lesions display and accuracy of size estimation | |
Shuyi Yang1, Qinqin Yan1, Fei Shan1, Zhiyong Zhang1, and Yuxin Shi1 | ||
1Shanghai public health clinical center, Shanghai, China |
||
This study aimed to investigate the diagnosis efficacy of native T1-mapping in focal pulmonary lesion, focused on lesions display and accuracy of size estimation. All lesions were clearlly demonstrated by CT, native T1-mapping, T1-star VIBE, and T2-fBLADE TSE. The tumor and distal obstructive pulmonary atelectasis can also be detected clearly by native T1-mapping. T1-mapping-based diameter measurements yielded excellent intra-observer and inter-methods consistent.In conclusion, we considered that native T1-mapping displays focal pulmonary lesions clearly (particularly when accompanying obstructive atelectasis and/or pneumonia) and enable accurate and reliable diameter measurement. |
2351 | Comparison of Quantitative and Semi-Quantitative Metrics from Dynamic Contrast Enhanced MRI: Evaluation in Idiopathic Pulmonary Fibrosis | |
Luis A Torres1, Greg Barton1, Nathan Sandbo2, Mark L Shiebler2,3, and Sean B Fain1,3,4 | ||
1Dept. of Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Dept. of Medicine, University of Wisconsin - Madison, Madison, WI, United States, 3Dept. of Radiology, University of Wisconsin - Madison, Madison, WI, United States, 4Dept. of Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States |
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Fully quantitative pulmonary perfusion metrics for the evaluation of lung disease can be difficult and time consuming to compute. We compare fully quantitative pulmonary blood flow (PBF) and mean transit time (MTT) to simpler semi-quantitative metrics slope and first moment transit time (FMTT) in idiopathic pulmonary fibrosis (IPF). We found strong correlations between the slope and PBF, as well as MTT and FMTT. A decrease in slope values was found in subjects with IPF when compared to healthy subjects. Slope could potentially be used as a surrogate for PBF to evaluate IPF. |
2352 | Feasibility of 3D flow-volume loop analysis using phase-resolved functional lung imaging (PREFUL) in comparison with 2D PREFUL | |
Filip Klimeš1,2, Andreas Voskrebenzev1,2, Marcel Gutberlet1,2, Robert Grimm3, Cristian Crisosto1,2, Frank Wacker1,2, and Jens Vogel-Claussen1,2 | ||
1Institute of Diagnostic and Interventional Radiology, Hanover Medical School, Hanover, Germany, 2Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hanover, Germany, 3Siemens Healthcare GmbH, Erlangen, Germany |
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The measurement of ventilation dynamics with 2D proton MRI (PREFUL) might offer a sensitive lung function test but lacks a high spatial resolution and whole-lung acquisition is time consuming. Recently, the feasibility of 3D PREFUL was demonstrated. In this work, ventilation dynamics assessment using flow-volume loop (FVL) analysis is performed on 2D and 3D data of a healthy volunteer and an asthma patient. Full respiratory cycle was reconstructed to calculate regional ventilation and cross-correlation metric of FVL. Similar results suggest that 3D PREFUL might be an interesting alternative to 2D PREFUL due to its improved spatial resolution and acquisition efficiency. |
2353 | Assessing the Error in Functional Lung Parameters obtained via SENCEFUL MRI | |
Andreas Max Weng1, Simon Veldhoen1, Christian Kestler1, and Herbert Köstler1 | ||
1Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany |
||
Until now, no study assessed the error that arises during calculation of quantitative functional lung parameters obtained from MRI. Using a bootstrapping approach with shuffling residuals the error of ventilation and perfusion (amplitude and phase) of the SENCEFUL technique was investigated in this study. Obtained error values were in an acceptable range rendering quantitative functional lung MRI a promising technique for the assessment of regional alterations in lung function. |
2354 | Development and Validation of T2WI-Based Radiomics Classifier in Patients with solid solitary pulmonary lesion | |
Wan Qi1, Yuze Wang1, Xinchun Li1, Tianjing Zhang2, Jianqing Sun2, and Yingjie Mei2 | ||
1The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China, 2Philips Healthcare, Guangzhou, China |
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The solitary pulmonary lesion (SPL) is one of the most common imaging findings. In this study, lung MR using T2 weighted imaging were acquired and analyzed using radiomics. Both 2D and 3D features combined with machine learning approach were compared to determinate an optimal model for differentiation of SPLs. We found that the radiomics signatures derived from 3D features outperformed that from 2D features. The best 3D radiomics model for the classification was a combination of principal component analysis(PCA), analysis of variance(ANOVA) and linear discriminant analysis (LDA). The T2WI-based radiomics model shows potential in differentiating malignancy from benign SPLs. |
2355 | Detecting regional differences of lung motion by optical flow analysis combined with rapid cine MRI using compressed sensing | |
Koji Sagiyama1, Masateru Kawakubo2, Ryohei Funatsu3, Takeshi Kamitani1, Yuzo Yamasaki1, Tomoyuki Hida1, Yuko Matsuura1, Yuriko Murayama1, and Hidetake Yabuuchi4 | ||
1Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 2Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan, 3Department of Medical Technology, Division of Radiology, Kyushu University, Fukuoka, Japan, 4Departmant of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan |
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The application of cine MRI to lung disease has been technically challenging. In this study, we exploited optical flow analysis combined with rapid acquisition of cine MRI using compressed sensing to detect differences in regional lung motion. The high spatial and temporal resolution and higher signal-to-noise ratio of cine MRI enabled optical flow analysis to visualize regional differences between five lung segments. It also differentiated between chest and diaphragm breathing patterns in volunteers. In the future, this non-invasive method could be applied to assess and follow lung diseases, such as interstitial pneumonia or chronic obstructive pulmonary disease. |
2356 | High Time Resolution 2D Chest Imaging Using A 0.5T Upright Paramed MRI Scanner. | |
James Harkin1, Michael Barlow2, Alan Smyth3, Ian Hall1, and Andrew Prayle3 | ||
1University of Nottingham, Nottingham, United Kingdom, 2Faculty of Medicine & Health Sciences, University of Nottingham, Nottingham, United Kingdom, 3Medicine and Health Sciences, University of Nottingham, Nottingham, United Kingdom |
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Using a 0.5T Paramed MROpen Upright MRI scanner, adult and paediatric cohorts as young as 3 can be scanned without sedation. 2D images can be acquired every <0.5s allowing for diaphragm movement to be characterised. Lung density variation through the breathing cycle can also be extracted. |
2357 | Functional Lung Investigation with Tiny Golden Angle Ultra-Short Echo-Time Stack of Stars (UTE STyGAS) | |
Anke Balasch1 and Volker Rasche1 | ||
1Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany |
||
Deriving lung data with MRI is challenging due to several reasons, including short T2*, cardiac and respiratory motion, and low proton density. In this study, a tiny golden angle UTE stack-of-stars (UTE STyGAS) sequence was applied for quantification of lung parenchymal functional parameters, including proton fraction, fractional ventilation and perfusion. Data were acquired during free breathing and reconstructed applying an image-based self-gating technique. |
2358 | Lung Function Assessment by Self-Gated 2D UTE – Comparison of Smoker and Non-Smoker | |
Anke Balasch1, Patrick Metze1, Tobias Speidel2, and Volker Rasche1 | ||
1Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany, 2Core-Facility Small Animal Imaging, Ulm University, Ulm, Germany |
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In this study, a two-dimensional ultra-short TE protocol was used to acquire free-breathing data of the lung. The signal intensity in expiration and inspiration were used to derive the fractional ventilation, proton fraction and perfusion of the lung parenchyma. |
2359 | Same-day reproducibility of quantitative lung perfusion metrics in patients with IPF | |
Paul J.C. Hughes 1, Nicholas D. Weatherley1, Helen Marshall1, Stephen M. Bianchi2, and Jim M. Wild1,3 | ||
1POLARIS, Department of Infection, Immunity and Cardiovascular Disease,, The University of Sheffield, Sheffield, United Kingdom, 2Sheffield Teaching Hospitals Foundation Trust, Academic Directorate of Respiratory Medicine, Sheffield, United Kingdom, 3Insigneo Institute for in silico Medicine, The University of Sheffield, Sheffield, United Kingdom |
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Recent work in assessing patients with idiopathic pulmonary fibrosis suggests that vascular changes, as assessed by dynamic contrast enhanced lung MRI, are a useful marker to assess disease progression. Therefore this work aimed to develop an image processing pipeline to assess same-day intra-participant reproducibility of quantitative perfusion metrics in a cohort of patients with idiopathic pulmonary fibrosis. From the data here it suggests that these quantitative metrics are not reproducible, even when patients are scanned on the same day. |
2360 | Reducing Streak Artifacts in 3D Radial Imaging Using Volume-Selective Signal Acquisition | |
Jinil Park1 and Jang-Yeon Park1,2 | ||
1Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea, Republic of |
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The non-Cartesian sampling can obtain the image even for the number of data that does not satisfy Nyquist, but the under-sampled image is accompanied by streak artifact. Since the non-selective pulse used in conventional 3D radial UTE(C-UTE) is excite unwanted areas out of FOV, streak artifacts may appear in the image when under-sampling. Volume-Select UTE(VS-UTE) performs spin excitation using frequency-selective SINC pulses. Accordingly, the proposed method effectively suppresses the signal outside the FOV, which reduces streak artifacts. The purpose of this study is to introduce a VS-UTE sequence and to confirm that the streak artifacts are reduced effectively. |
2361 | Pulmonary nodule detection using ultra-short TE (UTE) with a 3D variable-TE stack-of-spirals sequence in a 3T MR-PET scanner | |
Yu-Sen Huang1, Mao-Yuan Marine Su1, Ning Chien1, Jin-Shing Chen2, and Yeun-Chung Chang1 | ||
1Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan, 2Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan |
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Although the 3T MR-PET system has been used clinically for the whole body, PET/CT still has advantages over this technique when evaluating the pulmonary region. Ultrashort TE with 3D variable-TE stack-of-spirals sampling has been used for pulmonary nodule detection in MR examination1, which allows for shorter scanning times using an undersampling technique in combination with iterative self-consistent parallel imaging reconstruction (SPIRiT). The goal of this study was to investigate the feasibility of this technique for detecting pulmonary nodules in the 3T MR-PET scanner, which has fewer coil elements compared with most other MR-only scanners, to achieve minimum PET attenuation.
|
2362 | Reducing the breath hold time required to image the diaphragm in an upright position | |
Joshua McAteer1, James Harkin2, Olivier Mougin1, Christoph Arthofer2, Paul Glover1, and Penny Gowland1 | ||
1Physics, University of Nottingham, Nottingham, United Kingdom, 2Medicine, University of Nottingham, Nottingham, United Kingdom |
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We investigated accelerating two paradigms of in vivo diaphragm imaging using a 0.5T upright scanner. These two paradigms, high resolution and low resolution, were optimised to deliver minimal artefacts and maximal information about the diaphragm surface. These scans delivered sufficient image quality for the tissue boundary of the diaphragm to be located. This will allow for future work to study the diaphragm in the upright position of participants with COPD who are only able to hold their breath for ~5 sec. |
2363 | 3.0T Magnetic resonance for adult pulmonary tuberculosis | |
Qinqin Yan1, Shuyi Yang2, Jie Shen2, Shuihua Lu2, Fei Shan2, and Yuxin Shi2 | ||
1Radiology of Departemnt, Shanghai Public Health Clinical Center, Shanghai, China, 2Shanghai Public Health Clinical Center, Shanghai, China |
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Pulmonary tuberculosis is common chronic infectious disease, with a wide range of patients from infancy to the elderly. Currently, CT is the a commonly used method of examination, but radiation is not negligible. MRI as a non-radiative lesion, and functional measurement, can be used for tuberculosis examination and follow-up. This article provides a feasible examination plan for routine examination of tuberculosis via comparisons of T1-weighted Star vibe and standad vibe, and T2-weighted fBLADE and 3D SPACE. |
2364 | Quantify the Progression of Acute Lung Injury Induced by Lipopolysaccharide with Hyperpolarized 129Xe MR | |
Haidong Li1, Ming Zhang1, Hongchuang Li1, Xiuchao Zhao1, Yeqing Han1, Xianping Sun1, Chaohui Ye1, and Xin Zhou1 | ||
1National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy of Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China |
||
CT and PET should not be performed on patient repeatedly in short-term for monitoring the progression of diseases since the ionizing radiation and radioactivity. Herein, we tried to demonstrate the feasibility of hyperpolarized 129Xe MR for monitoring the progression of acute lung injury (ALI) in rats. Our results indicated hyperpolarized 129Xe MR has the potential to monitor the progression of ALI in rats. |
2365 | A Technique for Quantitative Measurement of Pulmonary Gas Uptake using Hyperpolarized 129Xe MRI in Free-Breathing Mice | |
Luis A Loza1, Stephen J Kadlecek1, Mehrdad Pourfathi1, Kai Ruppert1, Tahmina S Achekzai1, Ian F Duncan1, and Rahim R Rizi1 | ||
1Radiology, University of Pennsylvania, Philadelphia, PA, United States |
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Here we present an imaging technique for measuring regional gas uptake in a free-breathing mouse non-invasively. Gas- and dissolved-phase images were acquired simultaneously for a wide range of repetition times (13 ms up to 100 ms), and used to derive septal wall thickness measurements by fitting to a theoretical gas uptake model. The work shown here sets the groundwork for non-terminal longitudinal studies in rodent models of pulmonary radiation and fibrosis. |
2366 | Investigation of Lung Injury Caused by Air pollutants PM2.5 with both Pulmonary Function Tests and Hyperpolarized 129Xe MR | |
Ming Zhang1, Haidong Li1, Hongchuang Li1, Xiuchao Zhao1, Qian Zhou1, Qiuchen Rao1, Yeqing Han1, Yina Lan2, He Deng1, Xianping Sun1, Xin Lou2, Chaohui Ye1, and Xin Zhou1 | ||
1National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy of Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China, 2Department of Radiology, Chinese PLA General Hospital, Beijing, China |
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In this study, hyperpolarized 129Xe MR and pulmonary function tests were utilized to quantitatively evaluate the pulmonary physiological changes caused by air pollutants (PM2.5), which are difficult to be non-invasively assessed using the conventional methods including bronchoalveolar lavage fluid analysis and histopathological sections. Significant differences were found in mean exchange time constant, septal wall thickness and TP/GAS ratio using 129Xe dynamic spectra. The results from our study indicated hyperpolarized 129Xe MR may be a promising method for quantifying lung injury caused by air pollution in clinic. |
2367 | Phase imaging of hyperpolarized 129Xe gas in a human lung | |
Gang Zheng1, Wai Tung Lee2,3, Xin Tong4, Tim D’Adam2, Steven Parnell5, Michael de Veer1, Shenpeng Li1, Hongxin Wang1, Richard Mcintyre1, Francis Thien6, and Gary Egan1 | ||
1Monash Biomedical Imaging, Monash University, Clayton, Australia, 2Australian Nuclear Science and Technology Organisation, Lucas Heights, Australia, 3Instrument Technologies Division, European Spallation Source ERIC, Lund, Sweden, 4China Spallation Neutron Source, Dongguan, China, 5Delft University of Technical, Delft, Netherlands, 6Eastern Clinical School, Monash University, Box Hill, Australia |
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We describe a custom-designed spin-exchange-optical pumping (SEOP) polarizer which can reliably produce hyperpolarized 129-Xe (HP-Xe) gas. Imaging of a HP-Xe phantom showed phase images were less sensitive to depolarization and could provide on/off images of HP-Xe. In a human lung, phase image provided higher imaging contrast in low HP-Xe polarization states. |
2368 | Does Pulmonary Gas Transport Affect Spatially-Resolved Alveolar Septal Wall Thickness Measurements with Hyperpolarized Xenon-129 MRI? | |
Kai Ruppert1, Faraz Amzajerdian1, Yi Xin1, Hooman Hamedani1, Luis Loza1, Tahmina S. Achekzai1, Ryan J. Baron1, Ian F. Duncan1, Harrilla Profka1, Yiwen Qian1, Mehrdad Pourfathi1, Federico Sertic1, Stephen Kadlecek1, and Rahim R. Rizi1 | ||
1Radiology, University of Pennsylvania, Philadelhia, PA, United States |
||
Septal wall thickness (SWT) measurements with hyperpolarized xenon-129 (HXe) MRI are typically conducted as spectroscopic acquisitions that lack spatial information. Recently, efforts have been made to obtain spatial maps of SWT. Here, we investigated differences in apparent lung physiology between peripheral and central lung regions and found an implausible change in observed capillary transit time and SWT from the periphery to the center of the lungs. This effect is likely caused by the transport of xenon-saturated blood towards the heart, and is not based on physiological differences, thus requiring a fundamental revision of analytical gas uptake models. |
2369 | The Impact of T2* And Pulmonary Gas Exchange on The Accuracy Of The Applied Dissolved-phase Flip Angle in Hyperpolarized Xenon-129 MRI? | |
Yiwen Qian1, Kai Ruppert1, Faraz Amzajerdian1, Yi Xin1, Hooman Hamedani1, Luis Loza1, Tahmina S. Achekzai1, Ryan J. Baron1, Ian F. Duncan1, Harrilla Profka1, Mehrdad Pourfathi1, Federico Sertic1, Stephen Kadlecek1, and Rahim R. Rizi1 | ||
1Radiology, University of Pennsylvania, Philadelhia, PA, United States |
||
The fleeting nature of hyperpolarized xenon-129 magnetization necessitates a separate flip angle calibration procedure based on the decay of the gas-phase signal. This calibration is subsequently assumed to be valid for imaging of the xenon dissolved in the lung tissue despite the rapid exchange between the parenchyma and the alveolar gas volume and despite that the T2* is much shorter in the former than in the latter. In this work we implemented a 1-dimensional gas exchange simulation and investigated to what extent the effective flip angle at the dissolved-phase frequencies is affected by exchange and acquisition parameters. |
2370 | Feasibility of 19F Lung Imaging On A 0.5T Multi-Nuclear Upright Paramed MRI Scanner By Imaging Proton on HFC Gas. | |
James Harkin1, Robert Irwin1, Peter Thelwall2, and Michael Barlow1 | ||
1Respiratory Medicine, University of Nottingham, Nottingham, United Kingdom, 2Newcastle University, Newcastle upon Tyne, United Kingdom |
||
Using a multinuclear 0.5T Paramed Medical Systems MROpen Upright MRI scanner the feasibility of 19F imaging was assessed. The upright and open design of the scanner makes imaging more comfortable for patients and allows for imaging in later stages of respiratory diseases. It proved to be possible to image 1H of a fluorinated gas within a single repetition and there is an expectation of at least a 2.5 fold improvement in signal when moving to 19F. |
2371 | Assessment of interstitial membrane permeability using a generalized model of 129Xe septal uptake in the lung | |
Agilo L. Kern1,2, Karen M. Olsson2,3, Till F. Kaireit1,2, Frank K. Wacker1,2, Jens M. Hohlfeld2,3,4, Marius M. Hoeper2,3, and Jens Vogel-Claussen1,2 | ||
1Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany, 2Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany, 3Department of Respiratory Medicine, Hannover Medical School, Hannover, Germany, 4Clinical Airway Research, Fraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany |
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The hyperpolarized 129Xe chemical shift saturation recovery (CSSR) method combined with mathematical models of gas uptake provides unique insights into lung microstructure and function. Here, we propose a generalization of the Patz model for assessing interstitial membrane permeability. We test the model’s potential for in-vivo determination of membrane permeability by fitting to CSSR data from healthy volunteers and pulmonary hypertension (PH) patients. The obtained permeabilities lie between those estimated for O2 and CO2 in healthy volunteers and tend to be lower in PH. The proposed model enables the non-invasive assessment of interstitial barrier permeability and shows potential as diagnostic tool. |
2372 | Assessing void artifacts in follow-up breast MRI scans after sentinel node biopsy using superparamagnetic tracer | |
Anke Christenhusz1, Lejla Alic1, Frank F.J. Simonis1, Margreet C Van der Schaaf2, Caroline A.H. Klazen2, Joost M Klaase3, Anneriet E Dassen3, and Bennie ten Haken1 | ||
1Techmed Centre, University of Twente, Enschede, Netherlands, 2Department of Radiology, Medisch Spectrum Twente, Enschede, Netherlands, 3Department of Surgery, Medisch Spectrum Twente, Enschede, Netherlands |
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Sentinel lymph node biopsy using a magnetometer and a superparamagnetic iron oxide (SPIO) tracer is currently being introduced for breast cancer patients eligible for breast conserving surgery. However, the residual SPIOs potentially result in void artifacts in follow-up MRI examinations. This study assesses the influence of injection dose on the severity of the void artifacts in follow-up MRI by means of qualitative grading by radiologists. |
2373 | Comparison of breast BPE segmentation methods for early prediction of response to treatment | |
Alex Nguyen1, Fredrik Strand2, Vignesh Arasu1, Wen Li1, Natsuko Onishi1, Jessica Gibbs1, Bonnie N Joe1, Laura J Esserman3, The I-SPY2 Investigator Network4, David C Newitt1, and Nola M Hylton1 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden, 3Department of Surgery, University of California, San Francisco, San Francisco, CA, United States, 4Quantum Leap Healthcare Collaborative, San Francisco, CA, United States |
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Breast parenchymal enhancement (BPE) has shown association with breast cancer risk and response to neoadjuvant treatment. However, BPE quantification is challenging and there is no agreed upon standard. This study compares the results of three fully automated segmentation methods for early prediction of pathologic complete response (pCR) following neoadjuvant treatment. We evaluated three different sub-volumes of interest segmented from DCE-MRI: full stack, half stack, and center 5 slices. The differences between methods were assessed and a univariate logistic regression model was implemented to determine predictive performance of each segmentation method. |
2374 | Breast Lesion Segmentation in MR Images through Knowledge Distillation-based Modality Speculation | |
Cheng Li1, Hui Sun1, Taohui Xiao1, Zaiyi Liu2, Qiegen Liu3, Xin Liu1, Hairong Zheng1, and Shanshan Wang1 | ||
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Department of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China, 3Department of Electronic Information Engineering, Nanchang University, Nanchang, China |
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Multi-modal MR images are widely utilized to overcome the shortcomings of single modalities and pursue accurate image-based diagnoses. However, multi-modal MR imaging takes a longer time. For automated diagnosis, misalignment between modalities brings extra problems. To address these issues, we propose a new strategy to speculate the modality information by distillation-based knowledge transfer. Experiments on breast lesion segmentation confirm the feasibility of the proposed method. Networks trained with our method and single-modal MR image inputs can partially recover the breast lesion segmentation performance of models trained using two-modal MR images. |
2375 | Perfusion analyses of breast benign and malignant lesions using super high frame rate reconstruction with stack-of-stars acquisition | |
Yoshie Omiya1, Tetsuya Wakayama2, Daiki Tamada1, Sagar Mandava3, Ty A Cashen4, Hiroshi Onishi1, and Utaroh Motosugi1 | ||
1University of Yamanashi, Chuo, Japan, 2MR Collaboration and Development, GE Healthcare, Hino, Japan, 3MR Collaboration and Development, GE Healthcare, Tucson, AZ, United States, 4MR Collaboration and Development, GE Healthcare, Madison, WI, United States |
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Dynamic contrast-enhanced MRI (DCE-MRI) is used to diagnose breast cancer. Although 3-phase DCE-MRI is used in clinical settings according to BI-RADS, higher temporal resolution with perfusion analyses may be essential to precisely distinguish between benign and malignant breast lesions. Stack-of-stars (SOS) acquisition enables motion-robust DCE-MRI with arbitrary high temporal resolution. We performed perfusion analyses of breast lesions using super-high frame rate reconstruction (3.2 s/phase) with SOS acquisition, compared with BI-RADS-based enhancement category using typical temporal resolution (32 s/phase), and found that two more lesions were accurately diagnosed via perfusion-based analyses using super-high frame reconstruction compared to BI-RADS-based evaluation. |
2376 | Multi-nuclear MRI to disentangle intracellular sodium concentration and extracellular volume fraction in breast | |
Carlotta Ianniello1,2, Ryan Brown1,2, Linda Moy1,2, and Guillaume Madelin1,2 | ||
1Radiology, Center for Advanced Imaging Innovation and Research (CAI2R) and Center for Biomedical Imaging, New York University School of Medicine, NEW YORK, NY, United States, 2The Sackler Institute of Graduate Biomedical Science, New York University School of Medicine, NEW YORK, NY, United States |
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The intracellular sodium concentration (CIC) and extracellular volume fraction (ECV) are promising biomarkers in breast lesions. However, separating the contribution of the intracellular (IC) and extracellular (EC) compartments only relying on differences in 23Na relaxation properties is challenging due to close similarity between the two compartments and the inability to measure IC and EC relaxation times in vivo. In this study we demonstrate the feasibility to quantify CIC and ECV in three healthy subjects by using complementary information from 23Na and 1H MRI measurements. The mean CIC and ECV between three healthy subjects were 27.7±4.1 mM and 0.29±0.07, respectively. |
2377 | A meta-analysis comparing the diagnostic performance of abbreviated MRI (ABB-MRI) and a full diagnostic protocol (FDP-MRI) in breast cancer | |
Gabrielle C Baxter1, Ayla Selamoglu2, James W Mackay1, Simon Bond3, Ewan Gray4, and Fiona J Gilbert1 | ||
1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom, 3National Institute of Health Research, Cambridge Clinical Trials Unit, Cambridge, United Kingdom, 4University of Edinburgh, Edinburgh, United Kingdom |
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The diagnostic performance of abbreviated MRI (ABB-MRI) and full diagnostic protocol MRI (FDP-MRI) in the detection and diagnosis of breast cancer was compared using meta-analysis. 13 eligible studies were included (5 screening studies and 8 enriched cohort studies) and pooled estimates of sensitivity, specificity and area under the curve were calculated for ABB-MRI and FDP-MRI for both types of study. The diagnostic performances of ABB-MRI and FDP-MRI were comparable. |
2378 | Quantitative Bilateral Sodium and Proton Breast Imaging at 3T | |
Gabrielle C Baxter1, Mary A McLean2, Joshua D Kaggie1, Frank Riemer3, Ferdia A Gallagher1, Andrew D James4,5, Aneurin J Kennerley5,6, Rolf F Schulte7, William J Brackenbury4,5, and Fiona J Gilbert1 | ||
1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2Cancer Research UK, Cambridge, United Kingdom, 3Department of Radiology, Haukeland University Hospital, Bergen, Norway, 4Department of Biology, University of York, York, United Kingdom, 5York Biomedical Research Institute, University of York, York, United Kingdom, 6Department of Chemistry, University of York, York, United Kingdom, 7GE Healthcare, Munich, Germany |
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Sodium (23Na)-MRI was performed using a dual-tuned bilateral 23Na/1H breast coil on four healthy volunteers. Images acquired using 23Na-MRI show a relationship between sodium concentration and diffusion properties of breast tissue. Sodium signal variations due to mild flip angle non-uniformity were observed between left and right breasts. After correction using B1 mapping, tissue sodium concentration (TSC) maps were more closely matched between breasts. |
2379 | Use of a Digital Reference Object for Validation of Advanced Reconstruction Methods in High Spatial-temporal Resolution Breast DCE-MRI | |
Ping N Wang1, Julia V Velikina1, Roberta M Strigel1,2,3, Leah C Henze Bancroft2, Ty A Cashen4, Kevin M Johnson1, Alexey A Samsonov2, Ali Ersoz5, Edward F Jackson1,2,3, and James H Holmes2 | ||
1Department of Medical Physics, University of Wisconsin Madison, Madison, WI, United States, 2Department of Radiology, University of Wisconsin Madison, Madison, WI, United States, 3Carbone Cancer Center, University of Wisconsin Madison, Madison, WI, United States, 4Global MR Applications & Workflow, GE Healthcare, Madison, WI, United States, 5MR Engineering, GE Healthcare, Waukesha, WI, United States |
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Advanced data acquisition and reconstruction methods have been proposed to improve temporal and spatial resolution DCE imaging for breast. However, validation and comparison of these methods against a known truth is challenging. In this work we propose a digital reference object for breast pharmacokinetic simulation to evaluate different advanced reconstructions including MOCCO and iGRASP. The approach allowed comparison of the reconstructed temporal characteristics including pharmacokinetic analysis using different reconstruction parameters against the assigned ground truth. Spatial sharpness was also measured to compare with reference fully sampled images. |
2380 | Non-contrast method for breast tumor detection using EPT based tissue conductivity maps reconstructed from routine T2-mDixon TSE images | |
Rakesh Kumar Gupta1, Ulrich Katscher2, Rupsa Bhattacharjee3, Mamta Gupta1, and Indrajit Saha 3 | ||
1Department of Radiology, Fortis Memorial Research Institute, Gurugram, India, 2Philips GmbH / Innovative Technologies / Research Laboratories, Hamburg, Germany, 3Philips Health Systems, Philips India Limited, Gurugram, India |
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Breast tissue conductivity map based on EPT MRI is one of the non-contrast methods that can differentiate malignant from benign breast lesions; however, the need for DCE based tumor “mask” to generate conductivity maps from the phase of VISTA images in breast challenges EPT’s role as a non-contrast method. This study demonstrates an alternative to reconstruct breast tissue conductivity maps using T2-w mDixon TSE sequence that is comparable with DCE/VISTA method, and demonstrates similarities in detecting cancerous tissues. EPT maps of breast using T2-w mDixon TSE method has the potential to help in developing non-contrast MR breast cancer screening protocol. |
2381 | Ultra-fast DCE breast MRI protocol using Compressed-SENSE: A quantitative comparison study with standard protocol in Breast Cancer detection | |
Shikha Panwar1, Rupsa Bhattacharjee2, Vivek Pawar3, Stanley PK2, and Harsh Mahajan1 | ||
1Mahajan Imaging, Gurugram, India, 2Philips Health Systems, Philips India Limited, Gurugram, India, 3Philips Health Systems, Philips India Limited, Pune, India |
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Main challenge associated with conventional DCE-MRI of breast is compromise between spatial and temporal-resolution. In this study our objective is to develop an ultra-fast breast dynamic protocol keeping both spatial and temporal resolution sufficiently high. This is enabled by using compressed SENSE acceleration technique. Proposed Compressed-SENSE enabled ultra-fast dynamic breast DCE protocol design has the potential to be used as alternative of conventional DCE protocol. It gives contrast wash-in information from arteries and veins within very short time, and can significantly differentiate between malignant and benign breast lesions quantitatively (validated on proven 10 malignant and 10 benign cases). |
2382 | Impact of MRI protocol compliance on the prediction of pCR in the I-SPY 2 neoadjuvant breast cancer trial | |
Natsuko Onishi1, Li Wen1, Jessica Gibbs1, Ella F. Jones1, Lisa J. Wilmes1, Alex Nguyen1, Vignesh Arasu1, Bonnie N. Joe1, Laura J. Esserman2, The I-SPY 2 Investigator Network3, David C. Newitt1, and Nola M. Hylton1 | ||
1Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Surgery, University of California, San Francisco, San Francisco, CA, United States, 3Quantum Leap Healthcare Collaborative, San Francisco, CA, United States |
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In the I-SPY2 breast cancer trial, functional tumor volume (FTV, a quantitative measure of tumor burden derived from dynamic contrast-enhanced MRI) serves as a marker used for patient randomization and estimation of predictive probabilities for pathologic complete response (pCR). This retrospective study investigated the impact of MRI protocol compliance on prediction of pCR using FTV at four time points during neoadjuvant chemotherapy. FTV with compliant image quality factors tended to show higher AUC than that with non-compliant factors. This tendency was most prominent in percent change of FTV from baseline at early-treatment (3 weeks after treatment initiation) and inter-regimen. |
2383 | The impact of aorta contrast enhancement patterns on ultrafast time of arrival measurements when screening for breast cancer with MRI | |
Keith S Cover1 | ||
1Cancer Center Amsterdam, Amsterdam University Medical Center, VUmc, Amsterdam, Netherlands |
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A growing number of MRI screening protocols to detect breast cancer are using ultrafast imaging to improve specificity by distinguishing between malignant and benign for small lesions by their time of arrival (ToA) of contrast relative to the aorta. Sagittal MIP of color intensity projections (CIP) of the middle quarter of the chest were used to display the DISCO ultrafast enhancement patterns of the aorta for 556 scans. While 71% of the scans presented simple aorta enhancement patterns, the remaining 29% were more complex. To ensure accurate ultrafast ToA measurements, the aorta enhancement pattern of each scan should be reviewed. |
2384 | A feasibility study of radiomics based on dynamic contrast enhanced magnetic resonance imaging in identifying benign and malignant breast mass. | |
Weibo Gao1, Xin Chen1, Quanxin Yang1, and Xiaohui Li1 | ||
1The second affiliated hospital of xi 'an jiaotong university, xi an, China |
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The current study aim to investigate the value of radiomics’ features based on dynamiccontrast-enhanced magnetic resonance imaging (DCE-MRI) in the identification of benign andmalignant breast tumors. It was concluded that the radiomics’ features based on dynamicenhanced magnetic resonance imaging have certain value in identifying benign and malignantbreast tumors, among them, the superior radiomics’ features is Gabor, gray level co-occurrencematrix variance and variance, which worth further study. |
2385 | Portable NMR for quantification of breast density and tissue composition: from proof-of-concept in vitro to trials in vivo | |
Konstantin I. Momot1, Honor J. Hugo 2, Xuan Huang2, Tony Blick2, Tonima S. Ali3, Monique C. Tourell3, Thomas Lloyd4, and Erik W. Thompson2 | ||
1School of Chemistry and Physics, Queensland University of Technology, Brisbane, Australia, 2Queensland University of Technology, Brisbane, Australia, 3University of Queensland, Brisbane, Australia, 4Princess Alexandra Hospital, Brisbane, Australia |
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Elevated mammographic density (MD) is a significant independent risk factor for breast cancer and a source of masking in X-ray mammography. Availability of a low-cost, non-ionising measurement technique for quantitative assessment of MD would be valuable both in therapeutic and research contexts. We demonstrate that Portable NMR, a low-cost technique based on the same physics as MRI, represents a reliable approach to quantification of MD in excised breast tissue samples in vitro. We also present the initial results of an observational trial in healthy volunteers, which show that Portable NMR has a great potential for quantification of MD in vivo. |
2386 | Advances in 3D High-Speed MR Spectroscopic Imaging for Monitoring Neoadjuvant Chemotherapy in Breast Cancer | |
Stefan Posse1, Ingrid Lane2, Bruno Sa De La Rocque Guimaraes1, Bernard Twafik3, and Ursa Brown-Glaberman3 | ||
1Neurology, University of New Mexico, Albuquerque, NM, United States, 2Mind Research Network, Albuquerque, NM, United States, 3Division of Hematology / Oncology, University of New Mexico Comprehensive Cancer Center, Albuquerque, NM, United States |
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Three patients with biopsy-confirmed, infiltrating ductal carcinoma were studied at 3 Tesla to monitor changes in total Choline during neoadjuvant chemotherapy in comparison with dynamic contrast enhanced MRI. A novel bilateral high-speed 3D Proton-Echo-Planar-Spectroscopic-Imaging (PEPSI) protocol with integrated water reference acquisition mapped decreases in total Choline early during treatment in 2 HER2-negative patients with partial pathologic response, but not in the third HER2-positive patient. Surgical clip related B0-inhomogeneity impacted both PEPSI and DCE-MRI measurements. To address this limitation, we developed a novel expanded k-space encoding approach for PEPSI and demonstrated signal recovery in tissue regions affected by dephasing. |
2387 | The repeatability of deep learning-based segmentation of the prostate on T2-weighted MR images | |
Mohammed R. S. Sunoqrot1, Sandra Kucharczak2, Magdalena Grajek2, Kirsten M. Selnæs1,3, Tone F. Bathen1,3, and Mattijs Elschot1,3 | ||
1Department of Circulation and Medical Imaging, NTNU, Norwegian University of Science and Technolog, Trondheim, Norway, 2Department of quantum electronics, Adam Mickiewicz University, Poznań, Poland, 3Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway |
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Inter- and intra-observer variability are current limitations of radiological reading of multiparametric MR images of the prostate. Deep learning (DL)-based segmentation has proven to provide good performance, but little is known about the repeatability of these methods. In this work, we investigated the intra-patient repeatability of shape features for DL segmentation methods of the prostate on T2-weighted MR images and compared it to manual segmentations. We found that the repeatability of the investigated methods is excellent for most of the investigated shape features. |
2388 | Improving the repeatability of radiomic analysis of the prostate through deep normalization of T2w MRI inputs | |
Stephanie Alley1, Andrey Fedorov2,3, Cynthia Menard4, and Samuel Kadoury1,4 | ||
1Polytechnique Montréal, Montréal, QC, Canada, 2Brigham and Women’s Hospital, Boston, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada |
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Radiomics analyses are being increasingly employed to investigate tissue heterogeneity present within the prostate gland. We present a method for improving the repeatability of radiomics features extracted from T2-weighted images using a deep normalization technique based on fully convolutional networks (FCNs). We test the repeatability of select radiomics features on a previously published test-retest prostate dataset. We demonstrate that the intraclass correlation coefficient of first-order statistics features extracted from images normalized using the FCN-based pre-processor is consistently higher than for features extracted from non-normalized images. |
2389 | Learning how to adapt T2 PROPELLER MR prostate imaging: going beyond PIRADS requirements with MR Deep Learning reconstruction | |
Julie Poujol1, Charline Henry1, Vincent Barrau2, François Legou2, Eric Pessis2, Xinzeng Wang3, and Daniel Litwiller4 | ||
1Clinical Research & Development, GE Healthcare, Buc, France, 2Centre Cardiologique du Nord, Saint-Denis, France, 3Global MR Applications & Workflow, GE Healthcare, Houston, TX, United States, 4Global MR Applications & Workflow, GE Healthcare, New York, NY, United States |
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To give a confident image-based prostate cancer diagnosis, PIRADS recommends using multiparametric MR (mp-MRI) exam composed of DWI and T2w sequences. By using a new deep learning-based image reconstruction algorithm, we aim to improve the utility of T2w PROPELLER images by reducing acquisition time and/or increasing spatial resolution beyond PIRADS requirements. We present quantitative analysis based on signal-to-noise ratio estimates and qualitative analysis based on delineation of anatomical structures, overall image quality, vision of thin structures. |
2390 | Augmented ensemble learning is effective strategy for imbalanced small dataset: improve differentiation of low from high grade prostate cancer | |
Yuta Akamine1, Yoshiko Ueno2, Keitaro Sofue2, Takamichi Murakami2, Yu Ueda1, Ahsan Budrul1, Masami Yoneyama1, Makoto Obara1, and Marc Van Cauteren3 | ||
1Philips Japan, Tokyo, Japan, 2Department of Radiology, Kobe University Graduate School of Medicine, Hyogo, Japan, 3Asia Pacific, Philips Healthcare, Tokyo, Japan |
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Machine learning (ML) techniques have gained more attention to distinguish low from high grade prostate cancer. However, obtaining big training data is difficult. Moreover, ML models created by imbalanced dataset have a high accuracy for majority, but a low accuracy for minority. For this problem, data augmentation is widely studied. Recently, ensemble learning, which merges different classifiers, has shown great potential. Combinations of data augmentation and ensemble learning were investigated, using multi-parametric MR. We demonstrated that synthetic-minority-over-sampling-technique (SMOTE) with ensemble learning showed increased F1 (0.831) and AUC (0.762) and is effective strategy to improve diagnosis performance for imbalanced small dataset. |
2391 | Applying Radiomics and Convolutional Neural Network Analysis to distinguish Lymph Node Invasion in Prostate Cancer using Multi-parametric MRI | |
Yang Song1, Ying Hou2, Min-xiong Zhou3, Xu Yan4, Ye-feng Yao1, Yu-dong Zhang2, and Guang Yang1 | ||
1Shanghai Key Laboratory of Magnetic Resonance, East China Normal Univeristy, Shanghai, China, 2Department of Radiology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China, 3Shanghai University of Medicine & Health Sciences, Shanghai, China, 4MR Scientific Marketing, Siemens Healthcare, Shanghai, China |
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We compared a radiomics model and a convolutional neural network (CNN) model to distinguish lymph node invasion (LNI) in prostate cancer (PCa) using multi-parametric magnetic resonance images (mp-MRI). We trained the models in 281 patients and evaluated them in another 71 cases. The radiomics/CNN model produced an AUC 0.741/0.722, sensitivity 0.769/0.692, specificity 0.690/0.845 for the differentiation of LNI, which showed potential for the diagnosis of LNI in PCa. |
2392 | Prostate MRI Image Quality Control using Deep Learning | |
Jing Zhang1, Yang Song1, Ying Hou2, Yu-dong Zhang2, Xu Yan3, Yefeng Yao1, and Guang Yang1 | ||
1Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University, shanghai, China, 2Department of Radiology, The First Affiliated Hospital with Nanjing Medical University,, Nanjing, China, 3MR Scientific Marketing, Siemens Healthcare, shanghai, China |
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Deep learning-based computer aided diagnosis (CAD) has been proposed to detect and classify prostate cancer lesions in multi-parametric Magnetic Resonance Imaging (mp-MRI) images. CAD requires their input images meet certain quality standards. In this work, we proposed a ResNet50-based model to filter out images not suitable as the input to the following lesion detection network. Taking unqualified images as positive cases, we obtained an area under ROC curve (AUC) of 0.8526 in test cohort, which helped to improve the performance of detection model and increased the interpretability by rejecting unqualified images with a reason instead of giving wrong results. |
2393 | Prostate Tumor Characterization using Texture Analysis of Diffusion MRI | |
Dharmesh Singh1, Virendra Kumar2, Chandan J Das3, Anup Singh1,4, and Amit Mehndiratta1,4 | ||
1Centre for Biomedical Engineering, Indian Institute of Technology (IIT) Delhi, New Delhi, India, 2Department of NMR, All India Institute of Medical Sciences Delhi, New Delhi, India, 3Department of Radiology, All India Institute of Medical Sciences Delhi, New Delhi, India, 4Department of Biomedical Engineering, All India Institute of Medical Sciences Delhi, New Delhi, India |
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Accurate diagnosis of prostate-cancer(PCa) remains challenging due to high false-negative rate of biopsy and low-specificity of the screening test. Computer-aided diagnosis(CAD) systems are increasingly being used for detection and diagnosis of PCa. Texture analysis has been proved to be a significant CAD tool in medical applications. The aim of this research was to investigate the role of texture parameters extracted from diffusion-weighted MRI and machine-learning classifiers in distinguishing PCa from normal peripheral-zone(PZ). The proposed methodology has achieved 93% accuracy using support-vector machine classifier. Experiments showed that the application of texture-analysis could improve the accuracy of identifying healthy and cancerous prostate-regions. |
2394 | Artificial Intelligence Analysis on Prostate DCE-MRI to Distinguish Prostate Cancer and Benign Prostatic Hyperplasia | |
Yang Zhang1, Weikang Li2, Zhao Zhang2, Yingnan Xue2, Peter Chang1, Daniel Chow1, Min-Ying Su1, and Qiong Ye2,3 | ||
1Department of Radiological Sciences, University of California, Irvine, Irvine, CA, United States, 2The Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China, 3High Magnetic Field Laboratory, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China |
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Three convolutional neural network architectures were applied to differentiate prostate cancer from benign prostate hyperplasia based on DCE-MRI: (1) VGG serial convolutional neural network; (2) one-directional Convolutional Long Short Term Memory (CLSTM) network; (3) bi-directional CLSTM network. A total of 104 patients were analyzed, including 67 prostate cancer and 37 benign prostatic hyperplasia. Upon 10-fold cross-validation, the differentiation accuracy was 0.64-0.77 (mean 0.68) using VGG, 0.75-0.87 (mean 0.81) using the CLSTM, and 0.73-0.89 (mean 0.84) using bi-directional CLSTM. The radiomics model built by SVM using histogram and texture features extracted from the manually-drawn tumor ROI yielded accuracy of 0.81. |
2395 | High Resolution Prostate T2-weighted MRI with Deep Learning and without an Endorectal Coil | |
Xinzeng Wang1, Jong Bum Son2, Priya Bhosale3, Aliya Qayyum3, Juan Jose Ibarra-Rovira3, Ken-Ping Hwang2, Jason Stafford2, Mark David Pagel4, Marc Lebel5, Ersin Bayram1, Jingfei Ma2, and Janio Szklaruk3 | ||
1Global MR Applications & Workflow, GE Healthcare, Houston, TX, United States, 2Department of Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 3Department of Abdominal Imaging, MD Anderson Cancer Center, Houston, TX, United States, 4Department of Cancer Systems Imaging, MD Anderson Cancer Center, Houston, TX, United States, 5Global MR Applications & Workflow, GE Healthcare, Calgary, AB, Canada |
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Endorectal coil (ERC) offers high SNR that is needed for high-resolution prostate MRI, which is essential for accurate visualization of prostate and detection of prostate cancer. Unfortunately, use of an ERC is cumbersome, costly, and discomforting or even intolerable to some patients. Further, ERC often has exacerbated motion artifacts due to its proximity to the regions of interests. In this work, we applied a novel deep learning-based MR reconstruction method to clinical prostate T2-weighted imaging without an ERC (non-ERC). DL Recon improved non-ERC image SNR, reduced artifacts, and improved overall image quality compared to conventional reconstruction with/without endorectal coil. |
2396 | Radiomics based on multiparametric magnetic resonance imaging to predict extraprostatic extension of prostate cancer | |
Lili Xu1, Gumuyang Zhang1, Lun Zhao2, Li Mao2, Xiuli Li2, Weigang Yan3, Yu Xiao4, Jing Lei1, Zhengyu Jin1, and Hao Sun1 | ||
1Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China, 2Deepwise AI Lab, Beijing, China, 3Department of Urology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China, 4Department of Pathology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China |
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The preoperative prediction of EPE has a profound impact on treatment decision making, however, it still remains challenging presently. In this study, we compared the radiomics signatures extracted from different MR sequences to diagnose EPE. The radiomics signature based on DWI showed better performance for EPE prediction among mpMRI sequences. The radiomics model based on DWI, T2WI and DCE images was demonstrated feasible for the prediction of EPE. But the added value of clinical variables to the radiomics model was not prominent. |
2397 | Differential diagnosis of prostate cancer and benign prostatic hyperplasia using texture features based on multiple high b-values DWI | |
Jingjun Wu1, Ailian Liu1, Jiazheng Wang2, Zhiwei Shen2, Lihua Chen1, Qingwei Song1, Renwang Pu1, and Bingbing Gao1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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This work aimed for multiple high b-values DWI texture features based strategy to identify prostate cancer and benign prostatic hyperplasia, which may provide more abundant and comprehensive quantitative information, and promote clinical decision-making. The results showed that the diagnostic value was improved with AUC of 0.832 (sensitivity: 0.800, specificity: 0.762) based on combined texture features from ultra-high b value (b = 800, 1200, 2000s/mm2) DWI images, which is a valuable strategy for clinical practice. |
2398 | Characterization of the Metabolomic Signature of Prostate Cancer by Mass Spectrometry and Magnetic Resonance Spectroscopy of Urine | |
Leo L. Cheng1, Andrew Gusev1, Alex Buko2, Takushi Oga2, and Adam S. Feldman1 | ||
1MGH/Harvard, Boston, MA, United States, 2Human Metabolome Technologies, Boston, MA, United States |
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We used Capillary Electrophoresis Time of Flight Mass Spectrometry and Magnetic Resonance Spectroscopy to analyze urine from men undergoing prostate biopsy to investigate their metabolomic profiles and look for potential biomarkers. CE-MS analysis identified 60 metabolites that were statistically different between urine samples of men with PCa and PCa-free men and had overlap with MRS. Pathway analysis of these showed high activity in ceramide, short chain fatty acid (SCFA), branched chain amino acid, serine, threonine and tryptophan metabolism. Targeted studies of these metabolites are underway in our lab; if validated, they have potential to serve as non-invasive biomarkers for PCa. |
2399 | Evaluation of convolution strategies for 3D-CNN for MR Prostate segmentation | |
Yanlu Wang1,2, Patrick Masaba3, Fredrik Strand4,5, and Fredrik Järderling6,7 | ||
1Department of Clinical Sciences, Intervention and Technology, Karolinska Institute, Stockholm, Sweden, 2Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Solna, Sweden, 3Imaging and Function, Karolinska University Hospital, Stockholm, Sweden, 4Breast Radiology, Karolinska University Hospital, Solna, Sweden, 5Department of Oncology-Pathology, Karolinska Institute, Stockholm, Sweden, 6Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden, 7Department of Radiology, Capio S:t Göran Hospital, Stockholm, Sweden |
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Typical prostate MR dataset are 2D with few slices and high in-plane resolution. These dimensions do not conform naturally to traditional 3D convolution neural network up/down-sampling schemes, which customarily double/halves the input dimensions in all directions. We compared two strategies for up/down-sampling applied to prostate segmentation in MRI datasets: 1) Transform the datasets and applying orthodox convolution layers. 2) Adapt the up/down-sampling convolution layers in order to use more native resolution input datasets. Our results show that, in general, the former strategy works best, both in terms training loss convergence and overall segmentation results. |
2400 | Post processing decisions, independent of institution and fit, influence the perceived diagnostic utility of prostate cancer diffusion maps | |
Sean D McGarry1, John D Bukowy2, Kenneth Iczkowski3, Allison K Lowman2, Anjishnu Banerjee4, Kenneth Jacobsohn5, Petar Duvnjak2, Michael Griffin2, Dariya Malyarenko6, Tom Chenevert6, Yuan Li7,8, DaeKeun You7, Yue Cao6,7, Andrey Fedorov9, Laura C Bell10, Chad Quarles10, Melissa A Prah1, Kathleen M Schmainda1, Stefanie Hectors11, Bachir Taouli11, Eve LoCastro12, Yousef Mazaheri12,13, Amita Shukla-Dave12,13, Thomas Yankeelov14, David Hormuth II14, Ananth J Madhuranthakam15, Keith Hulsey15, Mark Muzi16, Michael Jacobs17, Meiyappan Solaiyappan17, William See5, Mark Hohenwalter2, and Peter S LaViolette18 | ||
1Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 2Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 3Pathology, Medical College of Wisconsin, Milwaukee, WI, United States, 4Biostatistics, Medical College of Wisconsin, Milwaukee, WI, United States, 5Urological Surgery, Medical College of Wisconsin, Milwaukee, WI, United States, 6Radiology, University of Michigan, Ann Arbor, MI, United States, 7Radiation Oncology, University of Michigan, Ann Arbor, MI, United States, 8Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 9Radiology, Brigham and Womens Hospital, Boston, MA, United States, 10Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States, 11Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 12Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 13Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 14Institute for Computer Engineering and Sciences, University of Texas, Austin, TX, United States, 15Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 16Radiology and Neurology, University of Washington, Seattle, WA, United States, 17Radiology, Johns Hopkins University, Baltimore, MD, United States, 18Radiology, Medical College of Wisconsin, wauwatosa, WI, United States |
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Diffusion data from 33 prospectively recruited patients was distributed to 14 sites, who returned monoexponential, biexponential, and diffusion kurtosis fits of the data. Receiver operator characteristic curve AUC was evaluated while varying the positive condition in the ROC analysis, minimum lesion size included, and method of extracting values from the ROI. Cluster size and stratification technique have a significant impact on the AUC and should be explicitly stated in future rad-path studies. |
2401 | Visualize the micro-hemorrhage of HCC through SWI and intravoxel incoherent motions to predict the microvascular invasion | |
Zhijun Geng1, Yunfei Zhang2, Hui Li1, Jing Zhao1, Sihui Zeng1, Cheng Zhang1, Chuanmiao Xie1, and Yongming Dai2 | ||
1Sun Yat-sen University Cancer Center, Guangzhou, China, 2United Imaging Healthcare, Shanghai, China |
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Tightly correlated with the prognosis, microvascular invasion (MVI) serves as one significant predictor determining the clinical management. Abnormal angiogenesis, one typical character during carcinogenesis, can lead to the abnormal micro-vessel manifestations including micro-hemorrhage and more, which may correlate with another abnormal vascular manifestations—MVI. Hence, this research aims to predict the MVI via visualizing the intra-tumor hemorrhage with susceptibility weighted imaging (SWI) widely proven to be powerful for imaging hemorrhage and IVIM hypothesized to be effective for visualizing the hemorrhage via quantifying the abnormal perfusion. The results displayed that visualizing the micro-hemorrhage holds great potential for predicting MVI of HCC. |
2402 | 3D ROI Histogram Based on Intravoxel Incoherent Motion for Preoperative Evaluation of Pathological Differentiation of the Hepatocellular Carcinoma | |
Zhe Zhang1, Ailian Liu1, Ying Zhao1, Jingjun Wu1, Nan Wang1, Dahua Cui1, Tao Lin1, Qingwei Song1, Xin Li1, Tingfan Wu1, and Yan Guo1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, Dalian, China |
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The purpose of this study was to preoperatively evaluate pathological differentiation of the whole hepatocellular carcinoma (HCC) by 3D ROI histogram of ADC, D, D* and f. The results showed that 3D ROI histogram of ADC, D can identify poor differentiated HCC. The D-5th achieved the highest AUC values (AUC: 0.778; sensitivity: 66.7%; specificity: 78.4%). Although there was no significant difference between AUC of 3D ROI histogram and routine ROI, 3D ROI histogram can reflect the heterogeneity to evaluate the differentiation of the whole tumor. |
2403 | Evaluating the feasibility of predicting the multiple pathological indexes of hepatocellular carcinoma with a single MR scan | |
Xue Han1, Yunfei Zhang2, Qi Wang1, Yan Ding1, Hui Liu1, Xiaojing Ma1, Gaofeng Shi1, and Yongming Dai2 | ||
1The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, China, 2United Imaging Healthcare, Shanghai, China |
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Imaging manifestations and pathological findings are tightly correlated to each other as they all provide the portraying of the tumor from different perspectives. We hypothesized that exploiting the quantitative markers from MR images would be a feasible way for simultaneously predicting the multiple pathological indexes. With regard to conventional “mean value” of ROI, histogram metrics, taking the tumor heterogeneity into consideration, can give full play of quantitative indicators. This research aims to preliminarily evaluate the feasibility of simultaneously predicting the multiple pathological indexes with a single Intravoxel incoherent motion (IVIM) scan by extracting multiple histogram metrics of parametric images. |
2404 | Predicting therapeutic response using dynamic enhanced MRI radiomics for patients with HCC treated with TACE: comparison of radiomics models | |
Ying Zhao1, Ailian Liu1, Jingjun Wu1, Nan Wang1, Dahua Cui1, Tao Lin1, Qingwei Song1, Xin Li2, Tingfan Wu2, and Yan Guo3 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Translational Medicine Team, GE Healthcare, Shanghai, China, 3GE Healthcare, Beijing, China |
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In the current study, dynamic enhanced MRI-based radiomics model was applied to predict therapeutic response in hepatocellular carcinoma treated with transcatheter arterial chemoembolization. In order to obtain the optimal radiomics model, we compared the diagnostic performance of the model built by different classifiers. |
2405 | Multi-sequence MRI-based radiomics nomogram to predict two-year recurrence in hepatocellular carcinoma after partial hepatectomy | |
Ying Zhao1, Ailian Liu1, Jingjun Wu1, Dahua Cui1, Tao Lin1, Qingwei Song1, Xin Li2, Tingfan Wu2, Yan Guo3, Lizhi Xie3, and Jingjing Cui4 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Translational Medicine Team, GE Healthcare, Shanghai, China, 3GE Healthcare, Beijing, China, 4Huiying Medical Technology Inc., Beijing, China |
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In the current study, multi-sequence MRI radiomics nomogram was demonstrated to be capable to predict two-year recurrence in hepatocellular carcinoma after partial hepatectomy, which will provide more prognostic information and facilitate clinical management. |
2406 | Analysis of liver function after molecular targeting therapy of HCC with hepatocyte fraction index obtained from gadoxetic acid-enhanced MRI. | |
Yudai Syogan1, Satoshi Kobayashi1, Yu Ueda2, Noboru Taniguchi1, Naoki Ohno1, Tosiaki Miyati1, Toshifumi Gabata3, Takeshi Terashima4, Kuniaki Arai4, and Tatsuya Yamashita4 | ||
1Quantum Medical Technology, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan, 2Philips.Japan, Tokyo, Japan, 3Radiology, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan, 4Gastroenterology, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan |
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Hepatocyte fraction index (HeFra index) obtained from gadoxetic acid-enhanced MR imaging might be possible surrogate marker of liver function after molecular targeting therapy to advanced HCC, and the molecular targeting therapy to advanced HCC do not affect the function of background liver parenchyma. |
2407 | Longitudinal study of liver imaging reporting and Data system LR-2, LR-3 and LR-4 observations in cirrhosis on MRI | |
Fei Xing1, Xue qin Zhang1, Jian Lu1, and Xiao fen Miao 1 | ||
1The Third Hospital Affiliated of Nantong University, Nantong, China |
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Using LI-RADS v2018 on MRI, LR-2, LR-3 and LR-4 lesions in cirrhosis have different natural outcomes, LI-RADS lesions demonstrate increasing risk of progression to HCC with increasing category. About two-fifths of LR-4 observations progressed to a malignant category. LR-3 observations with APHE or threshold/subthreshold growth upgraded to LR-5 were significantly higher. Most LR-2 observations that remain stable in category for at least a year. |
2408 | The value of multi-quantitative parameters of DKI to evaluate the pathological grade of hepatocellular carcinoma (HCC): a preliminary study | |
Liuji Sheng1, Ailian Liu1, Ying Zhao 1, Jingjun Wu1, Nan Wang1, Dahua Cui1, Tao Lin1, Qingwei Song1, Xin Li2, Tingfan Wu2, and Yan Guo3 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Translational Medicine Team, GE Healthcare, Shanghai, China, 3GE Healthcare, Beijing, China |
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The main purpose of this work was to use multi-quantitative parameters of DKI to evaluate the pathological grade of HCC before surgery. The results showed that FA have a powerful value in preoperative assessment of pathological grade of HCC (AUC:0.716; sensitivity:73.7%; specificity: 65.0%). |
2409 | Can IVIM Be used for Preoperative Assessment of Microvascular Invasion in Hepatocellular Carcinoma ? | |
Yi Wei1, Zheng Ye1, Hehan Tang1, Bin Song1, Xiaocheng Wei2, Lisha Nie2, and Hancheng Yang2 | ||
1West China Hospital, Sichuan University, Chengdu, China, 2GE Healthcare, MR Research, Beijing, China |
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Microvascular invasion (MVI) is one of the most important factors for the recurrence of hepatocellular carcinoma (HCC), however, accurate preoperative evaluation of MVI is quietly difficult because of the controversy results caused by the conventional imaging features. Compared with diffusion-weighted imaging (DWI), Intravoxel incoherent motion (IVIM) diffusion-weighted MR imaging could better characterize heterogeneity and irregularity of tissue components, and thus may have the potential to better evaluate MVI. In this study, we prospectively determine the usefulness of IVIM parameters and conventional radiologic features for preoperative prediction of MVI in patients with HCC. |
2410 | R2* yield by IDEAL IQ MRI in Evaluating the Expression Status of Glypican-3 in Hepatocellular Carcinoma | |
Rushi Chen1, Yan Bai2, Ge Zhang2, Kaiyu Wang3, and Meiyun Wang2 | ||
1Henan provincial people's hospital& Zhengzhou University People’s Hospital, Zhengzhou, China, 2Henan provincial people's hospital, Zhengzhou, China, 3GE Healthcare, MR Research, Beijing, China |
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Accurate diagnosis and evaluation of HCC is important for improving the efficiency of HCC treatment and patient prognosis. Glypican-3 (GPC3) has been considered as a promising diagnostic and prognostic biomarker and a target for immune-therapeutic in HCC. Our study aimed to investigate the utility of IDEAL IQ MRI to prospectively evaluate the expression status of GPC3. Our results showed that the intratumoral R2* value was significantly higher in the positive-GPC3 HCC patients than in the negative-GPC3 HCC patients (P=0.003). The IDEAL IQ MRI may have potential for non-invasively predict GPC3 expression status. |
2411 | Diagnosis of LR-M in at risk patients: performances of serological tumor markers and LI-RADS version 2018 features | |
Hanyu Jiang1,2, Bin Song1, and Mustafa Shadi Rifaat Bashir2 | ||
1Department of Radiology, West China Hospital, Sichuan University, Chengdu, China, 2Department of Radiology, Duke University Medical Center, Durham, NC, United States |
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The aim of this study was to develop diagnostic models comprising serological tumor markers and gadoxetate disodium-enhanced magnetic resonance imaging (EOB-MRI) features for patients with LR-M lesions by LI-RADS version 2018 (v2018). We retrospectively analyzed prospectively collected data from 45 consecutive at risk patients with LR-M observations and generated diagnostic models for LR-M to predict tumors with a cholangiocarcinoma component (M-CC). Among these models, carbohydrate antigen (CA) 19-9 alone demonstrated excellent diagnostic specificity, while the model integrating both CA 19-9 and the EOB-MRI feature “blood products in mass” achieved optimal overall performance. |
2412 | Optimized Colorectal Liver Metastasis Screening: Diagnostic Performance of an Abbreviated Gadoxetic Acid-enhanced MR Imaging Protocol. | |
Nobuyuki Kawai1, Yoshifumi Noda1, Satoshi Goshima2, Keita Fujimoto1, Kimihiro Kajita3, Hiroshi Kawada1, Yukichi Tanahashi1, and Masayuki Matsuo1 | ||
1Radiology, Gifu University, Gifu, Japan, 2Diagnostic Radiology and Nuclear Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan, 3Radiology Services, Gifu University Hospital, Gifu, Japan |
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Gadoxetic acid-enhanced MR imaging is an essential modality for the screening and assessment of hepatic diseases, which has an incremental value when combined with contrast-enhanced computed tomography for detecting colorectal liver metastasis (CLM). We assessed the diagnostic performance of an abbreviated protocol (axial heavily T2-weighted + axial and reconstructed-coronal hepatobiliary phase + axial diffusion-weighted imaging) compared with the standard routine clinical one for CLM screening. Our results demonstrated excellent performance for the detection of CLM comparable to standard one less than one third of acquisition time. |
2413 | Texture Analysis in MRI Diagnosis of Hepatocellular Carcinoma | |
Takeshi Yoshikawa1, Yoshiharu Ohno2, Ryo Shiroishi3, Masao Yui3, Yoshimori Kassai3, Shinichiro Seki4, Katsusuke Kyotani5, and Yuji Kishida6 | ||
1Kobe University Graduate School of Medicine, Kobe, Japan, 2Fujita Health University School of Medicine, Toyoake, Japan, 3Canon Medical Systems Corporation, Otawara, Japan, 4Hyogo Prefectural Tamba Medical Center, Tamba, Japan, 5Kobe University Hospital, Kobe, Japan, 6Konan Medical Center, Kobe, Japan |
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Texture analysis can characterize spatial variations of gray levels on an image. Our results showed texture analysis has a potential to improve MR ability in diagnosis of hepatocellular carcinoma. Optimal imaging techniques might be different from ones for visual assessment. Capsule, hemorrhage, and cellularity in HCC are possible influential factors. |
2414 | Quantitative evaluation liver cyst, hemangioma and hepatocellular carcinoma by using T1 mapping and DWI | |
Fei Wang1, Yupei Zhang1, Mengxiao Liu2, and Juan Zhu1 | ||
1Department of MRI,AnQing Municipal Hospital, Anqing, China, 2MR scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd, Shanghai, China |
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In this study, pre- and post-contrast T1-mapping technique and DWI were used for differential diagnosis of hepatic cyst, hemangioma and HCC. pre- and post-contrast T1 value, the decrease rate of T1 value and ADC value of the three types of lesions were compared and analyzed.T1-mapping technology for differential diagnosis of hepatic cyst,hemangioma and HCC provides a new quantitative method, especially for no-enhanced T1-mapping, have promise of clinical application. |
2415 | RADIOLOGICAL COURSE OF SUB-CENTIMETER ARTERIALLY ENHANCING NODULES DETECTED DURING SURVEILLANCE FOR HEPATOCELLULAR CARCINOMA | |
Sonal Krishan1 and Prabhat Kumar2 | ||
1Medanta Hospital, Gurgaon, India, 2Medanta Hospital, GURGAON, India |
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Clinical data on the course of sub-centimeter-sized nodules (SCSNs) detected during surveillance for HCC is limited. Through this study we wished to evaluate arterially enhancing SCSN evolving into HCC. We tried identify specific size cut off, rate of growth, enhancement features which can predict which SCSN will turn into HCC. 47.5% of SCSN have the potential to turn into HCC. 8.55 mm is the optimal size cut off above which risk of developing HCC increases with a sensitivity of 71.4%. Diffusion restriction was seen in 50% and non uptake of hepatobiliary contrast in 91% of SCSN which developed into HCC. |
2416 | Differentiate benign prostatic hyperplasia and prostatic cancer using APTw imaging and DKI Imaging | |
Yunsong Liu1, Lihua Chen1, Weiping Yang1, Xinmiao Bu1, Jianqing Sun2, Jiazheng Wang2, Zhiwei Shen2, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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The present study aimed to explore the value of amide proton transfer-weighted (APTw) imaging combined with diffusional kurtosis imaging (DKI) in the differential diagnosis between benign prostatic hyperplasia (BPH) and prostatic cancer. The results showed that the combined technique had a good diagnostic effect. When APT value was combined with 3 DKI parameters (FA, MK, Ka), the diagnostic efficacy significantly enhanced (AUC: 0.872; sensitivity: 76.5%; specificity: 90.9%). |
2417 | Differentiation of Prostate Cancer from Benign Prostatic Hyperplasia using Whole-lesion Histogram Analysis on Diffusion-weighted Imaging | |
Luguang Chen1, Pengyi Xin1, Qingsong Yang1, Tao Song1, Chao Ma1, Robert Grimm2, Caixia Fu3, and Jianping Lu1 | ||
1Radiology, Changhai Hospital of Shanghai, Shanghai, China, 2Application Predevelopment, Siemens Healthcare, Erlangen, Germany, 3Application Development, Siemens Shenzhen Magnetic Resonace Ltd, Shenzhen, China |
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Histogram and texture analysis have the potential in evaluating the heterogeneous features of tumors. This study aimed to assess the usefulness of histogram and texture analysis of ADC maps for differentiating PCa from BPH with pathology as the reference. 90 PCa and 112 BPH patients were enrolled and analyzed using histogram and texture analyses. Significant differences were observed in age, PSA, lesion volume and histogram parameters (except kurtosis) of ADC map between the PCa and BPH patients. The whole-lesion histogram and texture analysis-based parameters from the quantitative ADC map may serve as a useful biological characterization of prostate cancer. |
2418 | The Value of Obtaining Incremental Cores in MRI Guided Prostate Biopsy | |
Nicole Seyfried1, Amr Mahran1,2, Ananya Panda3, Verena Obmann4, Christina Buzzy1,2, Yun Jiang5, Katie Wright5, Dean Nakamoto6, Indravadan Patel7, Britt Conroy1,2, Lee Ponsky1,2, and Vikas Gulani5 | ||
1School of Medicine, Case Western Reserve University, Cleveland, OH, United States, 2Urology Institute, University Hospitals, Cleveland, OH, United States, 3Radiology, Mayo Clinic, Rochester, MN, United States, 4Department of Diagnostic, Interventional and Pediatric Radiology, Bern University Hospital, Bern, Switzerland, 5Department of Radiology, University of Michigan, Ann Arbor, MI, United States, 6Radiology, Louis Stokes Cleveland VA Medical Center, Cleveland, OH, United States, 7Radiology, Mayo Clinic, Scottsdale, AZ, United States |
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The value of incremental biopsy cores during in-gantry MRI-guided targeted prostate biopsy for prostate cancer diagnosis was examined. 135 patients with 175 lesions underwent in-gantry targeted prostate biopsy and the rates of pathology upgrading for sequential cores were determined. Significant upgrading was observed when increasing from 1 to 2 cores and from 2 to 3 cores, but not from core 3 to 4. Higher Prostate Imaging Reporting and Data System (PI-RADS) Version 2.0 score and anteriorly located lesions were more likely to result in an upgrade. |
2419 | Two-component model of prostate tissue using hybrid multidimensional T2 and diffusion-weighted imaging | |
Ingrid Framås Syversen1, Mattijs Elschot2, Tone Frost Bathen2, and Pål Erik Goa3 | ||
1Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway, 2Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 3Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway |
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T2 and diffusion-weighted imaging (DWI) are increasingly used in the detection and staging of prostate cancer, however, usually under the assumption that the T2 values and apparent diffusion coefficients (ADC) are independent of each other. Using hybrid multidimensional imaging, where images are acquired at two echo times and two b-values, we estimate volume fractions of slow and fast diffusion compartments in the prostate with a two-compartment model. The results suggest that the volume fractions can be used to discriminate between tumor and normal prostate tissue. |
2420 | Does intramuscular injection of glucagon improve prostate MR image quality? | |
Karthik Meenakshi Sundaram1, Ali B Syed1, Stephanie Tzu-Ying Chang1,2, and Andreas Markus Loening1 | ||
1Radiology, Stanford University School of Medicine, Stanford, CA, United States, 2Department of Radiology, Veterans Affair Palo Alto Healthcare System, Palo Alto, CA, United States |
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ACR PI-RADs guidelines suggest anti-spasmodic agents may be beneficial for some patients during multi-parametric prostate MRI (mpMRI). Recent evidence suggests that the anti-spasmodic scopolamine butylbromide improves image quality on mpMRI. However, no studies have evaluated intramuscular (IM) injected glucagon. This retrospective IRB approved single-center study performed data-mining of 2595 mpMRI radiology reports (693 with glucagon) and subjective image quality assessment of 63 mpMRI exams (32 with glucagon). No significant benefit of IM glucagon for prostate evaluation was found on mpMRI. Our findings suggest that the risks associated with IM glucagon (medication side effects, patient discomfort, cost) may outweigh any benefits. |
2421 | Multi-site analysis of DWI metrics for differentiating pathologically confirmed prostate cancer: patient and digital reference object results | |
Peter S LaViolette1, Sean D McGarry2, John D Bukowy1, Allison K Lowman1, Anjishnu Banerjee3, Dariya Malyarenko4, Tom Chenevert4, Yue Cao4,5, Andrey Fedorov6, Laura C Bell7, Chad Quarles7, Melissa A Prah2, Kathleen M Schmainda2, Stefanie Hectors8, Bachir Taouli8, Eve LoCastro9, Yousef Mazaheri9,10, Amita Shukla-Dave9,10, Thomas Yankeelov11, David Hormuth II11, Ananth J Madhuranthakam12, Keith Hulsey12, Wei Huang13, Mark Muzi14, Michael Jacobs15, Meiyappan Solaiyappan15, Kenneth Jacobsohn16, Mark Hohenwalter1, Petar Duvnjak1, Michael Griffin1, Watchareepohn Palanghmonthip17,18, William See16, Marja Nevalainen17, and Kenneth Iczkowski17 | ||
1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 3Biostatistics, Medical College of Wisconsin, Milwaukee, WI, United States, 4Radiology, University of Michigan, Ann Arbor, MI, United States, 5Radiation Oncology, University of Michigan, Ann Arbor, MI, United States, 6Radiology, Brigham and Womens Hospital, Boston, MA, United States, 7Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States, 8Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 9Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 10Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 11Institute for Computer Engineering and Sciences, University of Texas, Austin, TX, United States, 12radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 13Advanced Imaging Research Center, Oregon Health Sciences University, Portland, OR, United States, 14Radiology and Neurology, University of Washington, Seattle, WA, United States, 15Radiology, Johns Hopkins University, Baltimore, MD, United States, 16Urological Surgery, Medical College of Wisconsin, Milwaukee, WI, United States, 17Pathology, Medical College of Wisconsin, Milwaukee, WI, United States, 18Pathology, Chiang Mai University, Chiang Mai, Thailand |
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This study presents a multi-site study measuring the ability of site-specific diffusion weighted imaging fitting algorithms for differentiating prostate cancer. A dataset of DWI collected from 33 patients and a simulated digital reference object was distributed to thirteen sites who fit the multi-b DWI models with onsite-implemented software. Derived parametric maps were then submitted for central analysis. Each map was aligned to the T2-weighted image, and DWI metrics were extracted from aligned pathologist annotations. A statistical analysis was performed to determine the ability of each metric to differentiate PCA and to determine how fits of simulated data differed between sites. |
2422 | Comparing multi-shot DWI with multiplexed sensitivity encoding (MUSE) with reduced field of view DWI in prostate MRI by visual grading analysis | |
Anugayathri Jawahar1, Ali B Syed 1, Peter Wei 1, Lloyd Estkowski2, Arnaud Guidon3, Perla Subbaiah4, Bruce Lewis Daniel1, and Andreas M Loening 1 | ||
1Body MRI, Stanford University, PALO ALTO, CA, United States, 2Global MR Applications & Workflow, GE Healthcare, Waukesha, WI, United States, 3MR Body Applications & Workflow, GE Healthcare, Boston, MA, United States, 4Mathematics, Oakland University, Rochester, MI, United States |
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Diffusion-weighted imaging (DWI) using echo-planar technique is highly sensitive to susceptibility artifacts, in prostate MRI this is mainly due to rectal gas. In the hopes of identifying a sequence with better robustness to rectal gas, we compared multi-shot DWI using MUSE (with 3 shots) with a rFOV-DWI acquisition. In this IRB approved prospective study, 3 readers performed visual grading of MUSE and rFOV-DWI on 50 consecutive prostate MRI studies. MUSE-DWI and ADC maps showed statistically significant improvements in image quality for anatomic contour, lesion conspicuity, and overall image quality, as well as significantly reduced susceptibility artifacts related to rectal gas. |
2423 | Short TR DWI in prostate | |
Yu Ueda1, Tsutomu Tamada2, Koji Yoshida2, Ayumu Kido2, Makoto Obara1, Masami Yoneyama1, Yuta Akamine1, and Marc Van Cauteren3 | ||
1Philips Japan, Tokyo, Japan, 2Kawasaki medical school, Kurashiki, Japan, 3Philips Healthcare, Asia Pacific, Tokyo, Japan |
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DWI is a key component of mp-MRI in prostate and the usefulness of high b-value DWI has been reported. However, the quality might depend on magnetic field strength and scanner performance. It would be beneficial to acquire sufficient diffusion contrast and ADC using standard b-value of 1000 s/mm2 without an additional higher b-value acquisition. We exploited the difference of T1 between cancer and normal to improve contrast. The contrast of T1 enhanced DWI1000 using short TR was better compared to that of DWI1000 with normal long TR but it was less than that of DWI2000 with normal long TR. |
2424 | Clinical value of accelerated three-dimensional T2-weighted turbo spin-echo imaging with compressed SENSE in prostate MRI | |
Tustomu Tamada1, Yu Ueda2, Kosuke Ito3, Takeshi Fukunaga1, Ayumu Kido1, Tomohiro Mochizuki4, and Akira Yamamoto1 | ||
1Radiology, Kawasaki Medical School, Kurashiki City, Japan, 2Philips Japan, Minato-ku, Japan, 3Kawasaki Medical School, Kurashiki City, Japan, 4Philips Japan, Osaka, Japan |
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T2WI is a key component of mpMRI in prostate. 2D T2WI obtained in multi plane is recommend in PI-RADS v2, resulting in prolonged examination time. The usefulness of 3D-VRFA-TSE, which has a potential to reduce scan time by multiplanar postprocessing reconstruction of images into any desired plane, has been reported. As an further effective way to accelerate scan time is provided by C-SENSE, which uses undersampling of the k-space, we compared 3D-VRFA-TSE with 3D-VRFA-TSE with C-SENSE. C-SENSE enables a reduction in acquisition time of 40% in 3D-VRFA-TSE, maintaining image quality and lesion conspicuity except for clarity of prostatic capsule. |
2425 | Reduced field-of-view and multi-shot DWI acquisition techniques: prospective evaluation in prostate cancer imaging | |
Edward M Lawrence1, Yuxin Zhang1, Jitka Starekova1, Zihan Wang2, Shane A Wells1, and Diego Hernando1 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States |
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Diffusion weighted imaging (DWI) non-invasively evaluates tissue microstructure, relevant in the setting of prostate cancer. Distortion from susceptibility effects can confound standard single-shot echo planar imaging (ssEPI). Reduced-distortion techniques, including reduced field of view (rFOV) and multi-shot EPI (msEPI), may improve prostate imaging quality but further evaluation is warranted. Therefore, a prospective comparison of rFOV and msEPI to ssEPI, in either biopsy proven or suspected prostate cancer patients, was performed. Our results demonstrate that both rFOV and msEPI reduce distortion artifacts, and improve image quality, in comparison to ssEPI. Furthermore, ADC quantification was reproducible across these three techniques. |
2426 | Amide proton transfer MR imaging of prostate cancer: a preliminary study using 3D acquisition | |
Ayumu Kido1, Tsutomu Tamada1, Yu Ueda2, Tomohiro Mochizuki3, Takeshi Fukunaga1, and Akira Yamamoto1 | ||
1Radiology, Kawasaki Medical School, Kurashiki, Japan, 2Philips Japan, Minato-ku, Japan, 3Philips Japan, Osaka, Japan |
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APT-MRI is a contrast-agent-free MRI technique that exploits signal from the amide protons (NH groups) contained in proteins and peptides. No studies have reported the use of 3DAPT. Quantitative analysis (ADC and APT SI (%)) were calculated for PC lesions and for benign regions that included normal PZ and benign prostatic lesions. APT SI was comparable among normal regions, benign lesions, and PC. However, APT SI was significantly higher in large PC than in small PC. In addition, the APT SIs of PC lesions correlated well with PSA. APT SI may represent tumor volume, PC staging, and prognosis. |
2427 | Developing Hybrid Multidimensional MRI without an endorectal coil for the detection of prostate cancer: a feasibility study | |
Durgesh Kumar Dwivedi1,2, Aritrick Chatterjee1, Ajit Devaraj3, Ambereen Yousuf1, Gregory S Karczmar1, Tatjana Antic4, Scott Eggener5, and Aytekin Oto1 | ||
1Department of Radiology, University of Chicago, Chicago, IL, United States, 2Department of Radiodiagnosis, King George's Medical University, Lucknow, India, 3Philips Research North America, Cambridge, MA, United States, 4Department of Pathology, University of Chicago, Chicago, IL, United States, 5Department of Urology, University of Chicago, Chicago, IL, United States |
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There are conflicting reports on the use of endorectal coil in the detection of prostate cancer at 3T due to increased patient discomfort and susceptibility artifacts. The purpose of the present study was to evaluate the feasibility of Hybrid Multidimensional MRI (HM-MRI) without an endorectal coil (using pelvic phased-array coil only) in the detection of prostate cancer (PCa) and to calculate fractional volumes of prostatic tissue composition, non-invasively. A non-endorectal coil HM-MRI is feasible. We obtained a significant difference in epithelium volume between normal and PCa (p = 0.02), however stromal and luminal volume did not reach a significance level. |
2428 | Interobserver agreement of the PI-RADS Version 2.1 lexicon: A Multicenter Study of Six Radiologists with different levels of experience | |
Li Zhang1, Longchao Li1, Min Tang1, Yinzhong Wang2, and Xiaoyan Wang2 | ||
1Department of MRI, Shaanxi Provincial People’s hospital, Xi’an, China, 2Lanzhou university First Hospital, Lanzhou, China |
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PI-RADS Version 2.1 makes several minor modifications aimed at addressing these issues and simplifying the scoring system without changing the overall framework for acquisition or interpretation using the principles of the dominant sequence paradigm. Formal investigations of the Interobserver agreement of the PI-RADS version 2.1 scoring system are critical to confirm that it is attaining its primary aim of standardization. |
2429 | A preliminary study of 3D-amide proton transfer MR imaging in rectal adenocarcinoma: comparison with diffusion kurtosis imaging | |
Weicui Chen1, Ling Li2, Yingjie Mei3, Jilei Zhang3, Weikang Huang1, Bo Liu1, and Xian Liu1 | ||
1Radiology, The second Affiliated hospital of Guangzhou University of Chinese Medicine, Guangzhou, China, 2Guangzhou University of Chinese Medicine; The second Affiliated hospital of Guangzhou University of Chinese Medicine;, Guangzhou, China, 3Clinical Science,Philips Healthcare;, Shanghai, China |
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We explore the utility of 3D APTw imaging and DKI in assessing the pathological factors of rectal adenocarcinoma. The mean APTSI and MK was higher with the advanced staging and grading in rectal adenocarcinoma. In addition, the mean APTw SI have a significantly positive correlation with WHO grades. Therefore, the mean APTw SI is promising to be a non-invasive biomarker in clinical practice and to become a potential predictor for estimating the prognosis of rectal adenocarcinoma. |
2430 | Relationship between ADC values of MRI diffusion-weighted imaging and the pathological prognostic factors of rectal cancer | |
rui qi1 and ying wan2 | ||
1radiology, Sichuan university, Chengdu, China, 2pathology, Sichuan university, Chengdu, China |
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To investigate the correlation between the ADC value of MRI-DWI and the pathological prognostic factors of rectal cancer. 87 patients with rectal cancer were grouped according to the pathological prognostic factors. The mean ADC values of tumor tissues were measured, and the relationship between ADC values of different groups was analyzed. The differences of ADC values of the different differentiation groups, pN stage groups and P53 expression groups had statistical significance. The P53 expression level and ADC value showed a moderate negative correlation. It is expected the biological behavior of tumors can be predicted by quantitative analysis of ADC values. |
2431 | R2* relaxation rates of pelvic lymph nodes in USPIO-enhanced MRI of rectal cancer patients at 3 and 7T | |
Tijmen Koëter1, Rutger CH Stijns1, Bart JW Philips2, Jurgen J Futterer2, Patrick Zamecnik2, Sjaak JA van Asten2, Marnix C Maas2, and Tom WJ Scheenen2 | ||
1Radiology and Nuclear Medicine, Department of Surgery, Radboudumc, Nijmegen, Netherlands, 2Radiology and Nuclear Medicine, Radboudumc, Nijmegen, Netherlands |
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Six patients with rectal cancer underwent USPIO-enhanced MRI at 3 and 7T. The presence and appearance of lymph nodes was annotated by two trained radiologists. Lymph nodes were matched between 3 and 7T, and ROIs were drawn inside the nodes to calculate mean R2* relaxation rates in order to assess the possibilities of quantitative thresholds in R2* between suspicious and benign lymph nodes at both field strengths. |
2432 | Using radiomics to build prediction model for diagnosing metastatic lymph node in rectal cancer basing on HR-T2 imaging | |
Gesheng Song1, Aiyin Li1, Jingjing Cui2, and Yan Jia2 | ||
1Shandong Provincial Qianfoshan Hospital,the First Hospital Affiliated with Shandong First Medical, Jinan, China, 2Huiying Medical Technology Co., Ltd., Beijing, China |
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MRI based radiomics machine learning model could differentiating metastatic lymph node in rectal cancer. |
2433 | Comparative study of APTw combined with T2 mapping quantitative imaging in patients of rectal cancer with and without chemotherapy | |
Anliang Chen1, Ailian Liu1, Xuedong Wang1, Yunsong Liu1, Jingjun Wu1, Qingwei Song1, Renwang Pu1, Jiazheng Wang2, Zhiwei Shen2, and Liangjie Lin2 | ||
1Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Amide proton transfer-weighted (APTw) imaging can be used to assess changes of intracellular protein concentration and the pH value.And the T2 mapping allows non-invasive visualization and quantification of tissue composition. Here, weaimsto explore the value of APTw imaging in combination with T2 mapping in comparative analysesof rental cancer with and without chemotherapy. Results indicated that a ultrahigh diagnostic efficacy (AUC: 1.000; sensitivity: 100%; specificity: 100%) was achieved with combination of APT and T2 values. |
2434 | Value of texture analysis based on DWI with multiple b-values for evaluation of tumor heterogeneity in rectal cancer patients | |
Jingjun Wu1, Ailian Liu1, Jiazheng Wang2, Zhongping Zhang2, Anliang Chen1, Xuedong Wang1, Yunsong Liu1, Lihua Chen1, Qingwei Song1, Renwang Pu1, and Bingbing Gao1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
||
Rectal cancer is the third most common cancer and the second cause of cancer-related death worldwide. DWI is now recommended as a routine addition to the MRI protocol for the assessment of rectal cancer. However, the effect of the b-value on the diagnostic performance has not yet been explored. The current study aims to evaluate the value of texture analysis based on DWI with different B values to evaluate the heterogeneity of rectal cancer patients. The skewness and kurtosis were all significantly different in DWI with different B values, and they were obviously changed when B reached 800. |
2435 | Comparative study of APT combined with DKI in post-chemotherapy and non-chemotherapy rectal cancer | |
Xuedong Wang1, Anliang Chen1, Qingwei Song1, Jiazheng Wang2, and Ailian Liu1 | ||
1The first affiliated hospital of dalian medical university, DaLian, China, 2Philips Healthcare, China, Beijing, China |
||
We aimed to explore the difference of amide proton transfer-weighted (APTw) imaging combined with DKI between the chemotherapy group and non-chemotherapy group of rectal cancer. The result showed that the highest diagnostic efficacy(AUC: 0.986; sensitivity: 91.8%; specificity: 100%) was acquired using APT combined with DKI, rather than APT and DKI value respectively. |
2436 | Comparative study of APTw quantitative imaging in normal intestinal wall and rectal cancer | |
Xuedong Wang1, Ailian Liu1, Jiazheng Wang2, Yishi Wang2, Anliang Chen1, Lihua Chen1, and Qingwei Song1 | ||
1The first affiliated hospital of dalian medical university, DaLian, China, 2Philips Healthcare, China, Beijing, China |
||
The purpose of this study was to investigate the feasibility of using APTw for the diagnosis of rectal cancer. |
2437 | Amide Proton Transfer Imaging of Rectal Cancer: Which Duration and Power Level of Saturation Pulse is better? | |
Lan Zhang1 and Xin Li1 | ||
1Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China |
||
We speculate that APT value may be a useful biomarker for assessing rectal pathological characteristics, which could have a potential impact on the clinical therapeutic strategies for patients. A baseline of APT value needs to be established for rectal cancer, which remains challenging due to the susceptibility effects. So we need to optimize the sequence by adjusting duration and power level of saturation pulse |
2438 | Reduced field-of-view versus conventional pelvic diffusion-weighted imaging in rectal cancer | |
Ali B Syed1, Anugayathri Jawahar1, and Vipul R Sheth1 | ||
1Department of Radiology, Stanford University, Stanford, CA, United States |
||
There is growing literature supporting the use of diffusion weighted imaging (DWI) for staging and re-staging of rectal cancer. We investigated the performance of reduced FOV (rFOV) DWI in comparison with conventional whole pelvis DWI. Two readers graded rFOV and conventional DWI for anatomic detail, lesion conspicuity, tumor margin delineation, artifact, and overall image quality. rFOV DWI showed statistically significant improvement in anatomic detail, lesion conspicuity, tumor margin delineation, and overall image quality. No significant difference in artifact/distortion or lymph nodes was detected. rFOV DWI is a promising technique in rectal cancer evaluation and improves tumor visualization. |
2439 | T2 mapping-based the change trend of retrospective analysis of rectal cancer before and after chemotherapy | |
Yunsong Liu1, Anliang Chen1, Jingjun Wu1, Xuedong Wang1, Lihua Chen1, Yishi Wang2, Jiazheng Wang2, Zhiwei Shen2, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
||
The current study aimed to investigate the value of T2 mapping in evaluating the difference of rectal cancer before and after chemotherapy. The results showed that T2 mapping had high diagnostic value in the two groups (AUC: 0.92; sensitivity: 100%; specificity: 80%). |
2440 | IVIM-DKI analysis using Hybrid model with parameter reconstruction method in prostate cancer at 1.5T vs 3T MRI | |
Archana Vadiraj Malagi1, Arjun Lokesh2, Esha Baidya Kayal1, Kedar Khare3, Virendra Kumar4, Chandan J. Das2, and Amit Mehndiratta1,5 | ||
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Department of Radiodiagnosis, All India Institute of Medical Sciences Delhi, New Delhi, India, 3Department of Physics, Indian Institute of Technology Delhi, New Delhi, India, 4Department of Nuclear Magnetic Resonance (NMR), All India Institute of Medical Sciences Delhi, New Delhi, India, 5Department of Biomedical Engineering, All India Institute of Medical Sciences Delhi, New Delhi, India |
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Currently in countries with poor resources availability of higher magnetic strength 3T MRI is low. Objective is to analyze whether with lower magnetic strength 1.5T MRI with advanced parameter reconstruction method can perform better or equivalent to 3T MRI. IVIM-DKI signal was modelled using hybrid (HY) model which produces non-physiological inhomogeneity in parameter map. This inhomogeneity can be corrected by using total variation penalty function (TV) with HY model. IVIM-DKI maps obtained from HY with TV produced more clinically reliable than HY model. Even with low magnetic strength i.e. 1.5T, overall HY+TV model outperformed qualitatively & quantitatively against 3T MRI results. |
2441 | Age-Related and Zonal Anatomical Microstructure Features of Normal Prostatic Tissues: A Preliminary Study with VERDICT MRI | |
Xiangyu Wang1, Fan Lin1, and Yi Lei1 | ||
1The First Affiliated Hospital of Shenzhen University, Shenzhen, China |
||
31 male volunteers were examined with VERDICT MRI of the prostate. The derived VERDICT parameters (the fIC, fEES and fVASC) were analyzed with a histogram based on the whole prostate volume and the PZ, CG and AS ROIs. There were statistical differences between histogram parameters and regions of the prostate. Among different anatomical zones, for PZ, Age has a negative correlation with fIC, and positive correlation with fEES. According to CG, there was also positive correlation between age and fEES. |
2442 | Validation of the Diagnostic Accuracy of Multi-parametric MRI with PI-RADS V2.1 for Detecting Clinically Significant Prostate Cancer | |
Xiangyu Wang1, Fan Lin1, and Yi Lei1 | ||
1The First Affiliated Hospital of Shenzhen University, Shenzhen, China |
||
229 PZ and 270 TZ lesions were included in this study. The proportion of overall PCa and clinically important PCa detection (Gleason score≥3+4) for each PI-RADS version 2.1 category was determined. The performance of PI-RADS version 2.1 in cancer detection was evaluated. The diagnostic accuracy of the overall(82.6%) and csPCa TZ lesions(83.0%) is higher than the accuracy of PZ lesions(80.4%, 77.7%). For the csPCa diagnosis, the AUCs of PI-RADS version 2.1 in TZ(0.84) was higher than in PZ(0.77) without significance(P=0.06). Higher PI-RADS version 2.1 scores were associated with increasing likelihood of the presence of clinically important PCa (P<0.01). |
2443 | Differential diagnosis of Prostatic Hyperplasia with inflammation and Low-grade Transitional Zone Carcinoma: Advanced DWI VS Conventional DWI | |
Ren Huipeng1, Fan Qing1, Wang Xiaohu1, Wei Xiaocheng2, and Ren Zhuanqin1 | ||
1Baoji Central Hospital, Baoji, China, 2GE Healthcare China, Beijing, China |
||
The purpose of this study is to evaluate the efficacy of advanced diffusion weighted imaging (DWI) in the differential diagnosis of benign prostatic hyperplasia(BPH) with inflammation and Low-grade prostate transitional zone (TZ) cancer. By comparing the D, DDC and MK from advanced DWI with ADC value, it is found that the diagnostic efficiency of advanced DWI is better than the conventional DWI, and the combined diagnosis of (D + DDC + MK) has the highest efficiency. |
2444 | Quantitative Approach by the Simultaneous Acquisition of ADC and T2 Values Using Echo-Planar Imaging Sequence for Prostate Cancer Detection | |
Hirotoshi Maruyama1, Yasuhiro Fujiwara2, and Akira Takahashi1 | ||
1Radiology, Kumamoto Saishun Medical Center, Kumamoto, Japan, 2Department of Medical Imaging, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan |
||
We propose a sequence to simultaneously acquire apparent diffusion coefficient (ADC) and T2 values for detecting prostate cancer. ADC and T2 values of prostate cancer can simultaneously be acquired using not only a diffusion-weighted image, but also multiple echo time (TE) images without motion-probing gradient using echo-planar imaging (EPI). Moreover, the quantitative ADC and T2 maps can be produced in approximately 5 min. Combining ADC and T2 values was effective in differentiating between prostate cancer and the normal peripheral zone. Our rapid quantification imaging technique improves the accuracy of the diagnosis of prostate cancer. |
2445 | Assessment of aggressiveness of prostate cancer: correlation of MRI ADC map textures with Gleason grade after radical prostatectomy | |
Liang WANG 1 | ||
1Tongji Hospital,Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China |
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Prostate cancer is the 2nd leading diagnosed cancer in men worldwide. Radiomics extracts large amounts of quantitative image features from radiologic images and selects stable and clinically relevant radiomics biomarkers for disease assessment. 90 patients underwent mpMRI before radical prostatectomy, with subsequent pathologic evaluation. The texture features were extracted by the python-based pyradiomics package. The AUC of the model was 0.841, with sensitivity 69.6% and specificity 91.2%, which was significantly higher than mean ADC value or single texture feature. MRI ADC map texture evaluation may facilitate noninvasive assessment of aggressiveness of prostate cancer. |
2446 | Tumor Estimation for PI-RADS v2 Assessment of Prostate Cancer using Multiparametric MRI | |
Dharmesh Singh1, Saumya Diwan2, Virendra Kumar3, Chandan J Das4, Anup Singh1,5, and Amit Mehndiratta1,5 | ||
1Centre for Biomedical Engineering, Indian Institute of Technology (IIT) Delhi, New Delhi, India, 2Delhi Technological University, Delhi, India, 3Department of NMR, All India Institute of Medical Sciences Delhi, New Delhi, India, 4Department of Radiology, All India Institute of Medical Sciences Delhi, New Delhi, India, 5Department of Biomedical Engineering, All India Institute of Medical Sciences Delhi, New Delhi, India |
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Accurate estimation of tumor size is a challenging task due to the large variation in shape of prostatic tumors. Measurement of diameter and volume of tumor are useful for the staging of prostate cancer(PCa). Therefore, an appropriate method for tumor assessment is essential to assist clinical management of PCa. The goal of this study was to investigate the role of tumor size estimation methods (2D vs. 3D) for the Prostate Imaging Reporting and Data System version-2(PI-RADS v2) assessment of PCa using multiparametric MRI. Automatic tumor size assessment using ellipse-fitting approach showed relatively better performance of PCa assessment compared to radiologist-assessment. |
2447 | Prostate cancer: Inter-reader Agreement and Diagnostic Performance with PI-RADS Version 2.1 at Multiparametric MRI | |
Li Zhang1, Longchao Li1, and Min Tang1 | ||
1Department of MRI, Shaanxi Provincial People’s hospital, Xi’an, China |
||
In 2019, the updated version of PI-RADS Version 2.1 was introduced. This version did not change the entire framework, but made several modifications to address limitations and simplify the scoring system. Between 442 patients, both readers had 96 discordant cases in terms of five-point Version 2.1 scoring. Version 2.1 provides high accuracy for detecting clinically significant PCa with category 4 as the threshold. Both readers have good inter-reader reliability. However, agreement for TZ was lower than for PZ lesions. |
2448 | Highly accelerated prostate water/fat 3D MRI with compressed sensing and SENSE, compared to the standard of care | |
Ya nan Wu1, Mei yu Sun1, Ai lian Liu1, Jia zheng Wang2, Yi shi Wang2, Cheng yan Wang1, Li hua Chen1, Qing wei Song1, Ren wang Pu1, and Bing bing Gao1 | ||
1The First Affiliated Hospital of Dalian Medical University, Da lian, China, 2Philips Healthcare,China, Bei jing, China |
||
Compressed sensing(CS)technology is currently used less in prostate diseases. This study aims to explore the feasibility of CS and SENSE technology with different acceleration factors for prostate 3D magnetic resonance imaging(MRI). The preliminary exploration concluded that the SNR and CNR with CS 5 in prostate 3D mDIXON imaging are similar to the SENSE 2, and the imaging time is reduced by 28%, which effectively improves the MR scanning efficiency. |
2449 | Automated diagnosis of prostate cancer from dynamic contrast-enhanced MRI using a Convolution Neural Network–based deep learning approach | |
Ming Deng1, Haibo Xu2, Xiaoyong Zhang3, and Yingao Zhang4 | ||
1Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University,, Wuhan, China, 2Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China, 3MR Collaborations, Siemens Healthcare Ltd, Shenzhen, China, 4Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China |
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The aim of this study was to evaluate the diagnostic performance of a convolutional neural network (CNN)-based deep learning technique for the differentiation of prostate cancer (PC) using dynamic contrast agent–enhanced magnetic resonance imaging (DCE-MRI) data. Our patient study demonstrated that the quantitative image features derived from the DCE-MR images based on the self-defined CNN model can be effective in distinguishing PC from the normal, and the automated extraction of Ktrans, TDC, DR, and DY features can significantly promote PC diagnosis. The high performance of the proposed CNN-based deep learning method statistical analysis demonstrated its potential for improving PC diagnosis. |
2450 | Initial experience in abbreviated T2-weighted Prostate MRI using a Deep Learning reconstruction. | |
Aileen O'Shea1, Arnaud Guidon2, Robert Marc Lebel3, Ersin Bayram4, Theodore Pierce1, Amirkasra Mojtahed1, and Mukesh G Harisinghani1 | ||
1Massachusetts General Hospital, Boston, MA, United States, 2Applications and Workflow, GE Healthcare, Boston, MA, United States, 3Applications and Workflow, GE Healthcare, Calgary, AB, Canada, 4Applications and Workflow, GE Healthcare, Houston, TX, United States |
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Increasing the speed of multiparametric prostate MRI (mpMRI) is highly desirable. However, usual tradeoffs between signal-to-noise (SNR), scan time and lesion conspicuity must be considered. One recently proposed approach consists of using a bi-parametric protocol, whereby only the T2 and diffusion-weighted images are collected, thus highlighting the particular significance of achieving a robust, high-quality T2-weighted acquisition. As such, this work focuses on evaluating a Deep Learning reconstruction technique which shows promises to cut acquisition time of prostate T2-weighted imaging in half and would therefore benefit both bi-parametric as well as mpMRI. |
2451 | Mean or Extremum? Comparison of Two Strategies to Extract Orientation-Dependent Texture Features in Radiomics Studies | |
Jing Zhang1, Yang Song1, Yu-dong Zhang2, Xu Yan3, Yefeng Yao1, and Guang Yang1 | ||
1Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University, shanghai, China, 2Department of Radiology, The First Affiliated Hospital with Nanjing Medical University,, Nanjing, China, 3MR Scientific Marketing, Siemens Healthcare, shanghai, China |
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Texture features plays an important role in radiomics. To make the texture features rotation-invariant, pyradiomics computes the texture features along all directions and use their mean values. In this study, we demonstrated that maximum and minimum values of these features along different directions, which is also rotation-invariant, may provide added value to radiomics studies. We trained models using mean, maximum and minimum values of texture features along different directions to classify clinically significant (CS) prostate cancer (PCa) and non-CS PCa on PROSTATEx dataset. We found that using extremum instead of mean texture features improved the performance of model. |
2452 | A Deuterated 13C-Urea Reference to Eliminate 1H Imaging Artifacts in Hyperpolarized 13C MRI Studies | |
Collin J. Harlan1, Zhan Xu 1, Keith A. Michel1,2, Christopher M. Walker1, Sanjaya D. Lokugama3, Mark D. Pagel2,3, and James A. Bankson1,2 | ||
1Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, 2The University of Texas MD Anderson Cancer Center UT Health Graduate School of Biomedical Sciences, Houston, TX, United States, 3Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States |
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Multiparametric and hyperpolarized (HP) 13C Magnetic Resonance Imaging (MRI) are attractive multi-modality methods for prostate cancer imaging studies because of their non-invasiveness and characterization of changes in tumor metabolism. A 13C-urea calibration reference is required when conducting HP 13C MRI studies, which must be heavily doped with Gd+ to facilitate rapid calibrations. Care must be taken to ensure that the highly relaxed 1H signal does not compromise DCE-MRI via hyperintense imaging artifacts. Deuteration and lyophilization of 13C-urea can be useful in creating a calibration reference that does not lead to imaging artifacts in 1H Images. |
2453 | Comparison of Diagnostic Performance of Magnetic Resonance Imaging and Computed Tomography for Evaluation of Complex Renal Cysts | |
Anqin Li1, Zhen Li1, and Daoyu Hu1 | ||
1Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China |
||
To improve understanding of DWI features of complex renal cysts, and compare diagnostic performance of MRI and CT in discrimination of benign and malignant masses. Images of each lesion were analyzed, including size, thickness of wall, number of septum, enhancement of wall/septum, wall nodule, calcification, and cyst content. CT and MRI image characteristics were compared with pathology or follow-up results. The incidences of high signal intensity on DWI were significantly higher in malignant than in benign masses. MRI showed higher AUC than CT for differentiating benign from malignant masses. MRI could be useful in improving diagnosis of complex renal cysts. |
2454 | Is diffusion-weighted imaging effective in differentiating chromophobe renal cell carcinoma and oncocytoma as per cell grade? | |
Tatsuya Yamamoto1 and Atsushi Kohno1 | ||
1Department of Diagnostic Radiology, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, Tokyo, Japan |
||
Although the prognosis of chromophobe renal cell carcinoma (CHRCC) is more favorable than that of other RCC subtypes, it is a malignant tumor with possible metastasis. On the other hand, there is only one confirmed case of renal oncocytoma metastasis. This study assessed the apparent diffusion coefficient (ADC) value derived from diffusion-weighted imaging to differentiate renal oncocytoma from CHRCC according to cell grade. The ADC values were significantly different between low-grade and high-grade CHRCCs and between oncocytoma and high-grade CHRCC. Thus, the ADC value is useful for differentiating oncocytoma from high-grade CHRCC but not for differentiating oncocytoma from low-grade CHRCC. |
2455 | Evaluate the efficiency of the ESWAN value for differentiating renal clear cell carcinoma with different pathological grades. | |
Xinmiao Bu1, Ailian Liu1, Dahua Cui1, Xin Li2, and Qingwei Song1 | ||
1The First Affiliated Hospital of Dalian Medical University, dalian, China, 2GE Healthcare, Beijing, China |
||
To investigate the potential of ESWAN in differentiating renal clear cell carcinoma with different pathological grades, to help preoperative non-invasive prediction of renal clear cell carcinoma pathological grading. |
2456 | Evaluate the efficiency of T1 Mapping and amide proton transfer imaging in differentiating chronic kidney disease and healthy volunteers. | |
Xinmiao Bu 1, Ailian Liu1, Lihua Chen1, Weiping Yang1, Yunsong Liu1, Yaxin Niu1, Qingwei Song1, Renwang Pu1, Jiazheng Wang2, Zhiwei Shen2, and Zhongping Zhang2 | ||
1The First Affiliated Hospital of Dalian Medical University, dalian, China, 2Clinical Science, Philips Healthcare, Beijing, China |
||
To evaluate the joint diagnosis value of T1 Mapping and amide proton transfer imaging in the chronic kidney disease and healthy volunteers. |
2457 | Multiparametric MR imaging in diabetic nephropathy: New insights to evaluate early diabetic nephropathy noninvasively | |
Akira Yamamoto1, Tsutomu Tamada2, Yu Ueda3, Takeshi Fukunaga2, Ayumu Kido2, and Atsushi Higaki2 | ||
1Radiology, Kawasaki Medical School, Kurashiki, Japan, 2Kawasaki Medical School, Kurashiki, Japan, 3Philips Japan, Minato-ku, Japan |
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The purpose of this study was to identify the changes in multiparametric magnetic resonance imaging (MRI) findings in early diabetic nephropathy. Measurements were made of the renal cortex and renal medulla T2 values, T2* values and R2* values, as well as optimal TI, inverted TI value in SSFP with ssIR pulse with multi TI. Also, renal cortical thickness and renal length were measured, representing morphological changes. Significant differences were seen between the healthy and early diabetic nephropathy groups in values of T2 and inverted TI. This study suggests the possibility that MRI using the T2 value and inverted TI of SSFP with an ssIR pulse can be used to evaluate early diabetic nephropathy non-invasively and in a short period of time. |
2458 | Multiparametric-MRI in the Evaluation of Early diabetic kidney damage | |
Youzhen Feng1, Zhongyuan Cheng1, Xiaoqing Xiong1, Qiting Lin1, Dingkun SiTu1, Pingkang Chen1, Zhifei Liu2, Long Qian3, and Xiangran Cai1 | ||
1Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China, Guangzhou, China, 2Medical Imaging Center, First People's Hospital of Kashgar, Xinjiang, china., Xinjiang, China, 3MR Research, GE Healthcare, Beijing, 100176, China., Beijing, China |
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Multiparametric-MRI (mp-MRI) has shown promising results in the diagnosis of clinical disease. It provides us an approach to perform investigation from multiple dimension and avoids to ignore the worthwhile diagnosis information. Previous studies indicated that the perfusion and dispersion of renal parenchyma have been changed in diabetic mellitus (DM) without biochemical indicators of significant renal damage. However, the convergence and divergence of those diffusion and perfusion related MRI parameters in the evaluation of DM associated kidney damage is still unclear. To assess the renal functional changes in DM patients, three MRI modalities were applied in current study. |
2459 | Non-invasive assessment of renal function using intravoxel incoherent motion imaging taking account of renal tubular water and relaxation times | |
Hajime Tamura1, Hideki Ota2, Tatsuo Nagasaka3, and Eikan Mishima4 | ||
1Division of Medical Physics, Tohoku University, Graduate school of medicine, Sendai, Japan, 2Department of Advanced MRI Collaboration Research, Tohoku University, Graduate school of medicine, Sendai, Japan, 3Department of Radiology, Tohoku University hospital, Sendai, Japan, 4Division of Nephrology, Endocrinology, and Vascular Medicine, Tohoku University, Graduate school of medicine, Sendai, Japan |
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Renal IVIM imaging taking account of water in the urinary tubules and relaxation times was performed in patients with renal-artery stenosis. Several estimated parameters were significantly correlated with the functional parameters obtained by renal scintigraphy (water fraction with the time to peak height (Tmax) on the renogram curve of renal scintigraphy, parenchymal diffusion coefficient with the glomerular filtration rate (GFR), and transverse relaxation time of flowing blood with GFR). |
2460 | Spin-lock MRI Reveals Tubular Dilation and Fibrosis after Unilateral Ureter Obstruction | |
Feng Wang1,2, Tadashi Otsuka3, Keiko Takahashi3, Daniel C. Colvin1, Hua Li1, Raymond C. Harris3, Takamune Takahashi3, and John C. Gore1,2,4 | ||
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, TN, United States, 4Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States |
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Assessing the severity and progression of tubular dilation and fibrosis in kidneys are important clinical challenges. Here we evaluate spin-lock MR imaging with different locking fields for detecting tubular dilation and fibrosis in a mouse model of unilateral ureter obstruction. We fit the dispersion of spin-lock relaxation rates R1ρ at different locking fields (frequencies) to a model of exchanging water pools and assessed the sensitivity of the derived quantities for detecting tubular dilation and fibrosis in kidney. Histological scores for tubular dilation and fibrosis, based on luminal space and positive picrosirius red area in sections, were obtained for comparison. |
2461 | Towards non-invasive measurement of renal tubule size by diffusion MRI | |
Darya Morozov1, Jennifer R. Charlton2, Kimberly A. deRonde2, and Kevin M. Bennett1 | ||
1Radiology, Washington University in St. Louis, School of Medicine, Saint Louis, MO, United States, 2Pediatrics, University of Virginia Children's Hospital, Charlottesville, VA, United States |
||
Tubular hypertrophy is an early feature of many renal pathologies. A direct, non-invasive measure of kidney morphology is lacking. Current diagnostics are primarily based on biopsy after suspected renal disease, which is prone to sampling error and is invasive. A robust non-invasive imaging tool to study tubular changes in vivo is greatly needed and would provide early tissue biomarker for initiation and progression of kidney injury. In this work, we used a single diffusion encoding MRI approach to study distribution of restricting tissue compartment sizes in kidney cortex as a potential noninvasive marker of tubule size in the intact kidney. |
2462 | Non-invasive assessment of progressive changes in aristolochic acid (AA) induced AKI with T2 mapping | |
Yingjie Mei1,2, Guixiang Yang3, Yihao Guo1,4, Kaixuan Zhao1,4, Chenggong Yan3, Yikai Xu3, and Yanqiu Feng1,4 | ||
1Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guang Zhou, China, 2Philips Healthcare, Guang Zhou, China, 3Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China, 4School of Biomedical Engineering, Southern Medical University, Guang Zhou, China |
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Cases of Aristolochic acid nephropathy (AAN) have been reported worldwide, yet no serum or urinary biomarkers have been shown to have clinical utility in detection of AAN. In this study, we aim to detect renal changes in the early phase of AAN with T2 mapping. The results suggest that T2 mapping may be a valuable tool in experimental studies and clinical practice of acute phase of AAN. |
2463 | Monitoring the microenvironment changes of kidney in patients with hyperuricemia using dual-modal functional MRI | |
Zhongyuan Cheng1, Qiting Lin1, Xiaoqing Xiong1, Dingkun Situ1, Pingkang Chen1, Zhifei Liu2, Long Qian3, Youzhen Feng1, and Xiangran Cai1 | ||
1Medical Imaging Center, First Affiliated Hospital, Jinan University., Guangzhou, China, 2Medical Imaging Center, First People's Hospital of Kashgar, Xinjiang, china., Xinjiang, China, 3MR Research, GE Healthcare., Beijing, China |
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The aim of this study was to investigate the feasibility of diffusion tensor imaging (DTI) and blood oxygenation level dependent imaging (BOLD) in assessing early renal function changes in hyperuricemia. |
2464 | Is renal blood supply a predictor of protein synthesis in the kidney? A preliminary study in the healthy population | |
Lihua Chen1, Ailian Liu1, Jiangzheng Wang2, Zhiwei Shen2, Qingwei Song1, Renwang Pu1, and Nan Wang1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
||
3D amide proton transfer weighted (APTw) MR imaging is a novelcontrast-agent-free MRI technique for detection of amide protons in mobile cellular proteins and peptides 1-3.On the other hand, 3D pseudo-continuous arterial spin labeling (3D-pCASL)is amethod to measure renal blood supply and hence potentially a metric for renal function. This study reveals a close association between the vascularity and concentration of mobile cellular proteins in kidney. |
2465 | Quantitative Renal Function Assessment of Renal embolization | |
Hanjing Kong1 | ||
1Peking University, Beijing, China |
||
Renal embolization is part of a multisystemic disease and has attracted enhanced attention in recent years for its increasing incidence in the elderly.It is a significant cause of renal loss in patients who suffer from valvular cardiopathy, aortic atheromatosis, and hypercoagulable states. In this study, we attempt to investigate the feasibility of compressed sensing (CS) based DCE-MRI in the assessment of AERD in animal models. |
2466 | In-vivo 19F-isoflurane MR imaging in adipose tissue | |
Gang Zheng1, Michael de Veer1, Hongxin Wang1, Shenpeng Li1, and Gary Egan1 | ||
1Monash Biomedical Imaging, Monash University, Clayton, Australia |
||
The detection of adipose tissue (AT) is of great importance in studying obesity. Isoflurane is a common fluorinated anesthetic with an excellent safety record in preclinical studies, which has a high blood–gas partition coefficient in adipose tissue. This abstract demonstrates that 19F-isoflurane can be used as an MR contrast agent for noninvasive imaging of AT in a mouse body. |
2467 | Measurement of pancreatic volume: a comparison between the single-layer ROI based and 3D volume Extraction methods. | |
Wan Dong1, Ailian Liu1, Qinhe Zhang1, Liangjie Lin2, and Jiazheng Wang2 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
||
It has been reported that pancreatic volume is closely related to pancreatic function. The 3D mDixon Quant MRI can achieve accurate water and fat images. Here, two measurement methods, including the single-layer region-of-interest (ROI) based and the 3D volume extraction methods, were compared for determination of pancreatic volume on the 3D mDixon Quant images. Results showed that pancreatic volumes measured by the two methods were with favorable consistency (ICC=0.971) and strong stability (P=0.169). |
2468 | The value of 3D mDIXON Quant in quantitative evaluation of factors related to pancreatic volume and fat content in healthy subjects. | |
Wan Dong1, Ailian Liu1, Qinhe Zhang1, Liangjie Lin2, and Jiazheng Wang2 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
||
Functions of pancreas are associated with its volume and fat fraction. 3D mDixon Quant has been proved to be valuable in measuring fat fraction, which was employed in this study for determination of volume and fat content of pancreas. Then the correlations of pancreas volume and fat content to age, gender and BMI were examined. Results showed a significant negative correlation of age to the pancreas volume, while positive to the fat fraction. Therefore, 3D mDixon Quant is helpful in assessing pancreas volume and fat fraction. As age increases, the pancreas tends to shrink and its fat fraction to increase. |
2469 | Early Effect of 90Y locoregional therapy on tumor and liver parenchyma stiffness measured with MR elastography: initial experience | |
Paul Kennedy1,2, Sara Lewis3, Octavia Bane1,2, Stefanie Hectors1,2,4, Edward Kim5, and Bachir Taouli1,2 | ||
1BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Radiology, Icahn School of Medicine at Mount Sinai, NY, NY, United States, 4Department of Radiology, Weill Cornell Medicine, New York, NY, United States, 5Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, NY, NY, United States |
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In this study we assess early changes following 90Y radioembolization (RE) in hepatocellular carcinoma and liver parenchyma using MR elastography and predict response at 6 weeks/6 months. Tumor stiffness (TS) and liver stiffness (LS) adjacent to the tumor were significantly increased 6w following RE. Baseline TS and LS adjacent to the tumor were significantly lower in patients who achieved complete response. Baseline TS correlated with necrosis at 6w and was a significant predictor of partial response or stable disease based on mRECIST criteria following RE. MR elastography may be a useful tool for predicting necrosis and tumor response to RE. |
2470 | Liver Diffusion MRI using Optimized Gradient Waveforms, Free-Breathing Acquisitions, and Motion-Corrected Averaging: Validation in Patients | |
Ruiqi Geng1,2, Yuxin Zhang1,2, Matthias Robert Muhler1, Jitka Starekova1, and Diego Hernando1,2 | ||
1Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States |
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Diffusion weighted imaging (DWI) of the liver has multiple important applications in the assessment of liver disease, including cancer. However, liver DWI faces several major challenges including signal dropout due to cardiovascular pulsation, mis-registration due to respiratory motion, and low SNR. We have developed a DWI technique that addresses these challenges by combining motion-robust diffusion waveforms to address cardiovascular pulsation, high SNR from non-gated free-breathing acquisitions, and motion-corrected averaging for respiratory motion-correction. This technique was evaluated in patients with known or suspected liver metastases. The proposed technique has the potential to enable improved assessment of liver lesions. |
2471 | Motion-resistant XD-GRASP for free-breathing liver MRI: qualitative comparison with standard breath-hold hepatobiliary phase imaging | |
Nathanael Kim1, Shannan Dickinson2, Maggie Fun3, Ersin Bayram3, Li Feng4, Ricard Do2, and Ricardo Otazo1,2 | ||
1Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3GE Healthcare, Waukesha, WI, United States, 4Biomedical Engineering and Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States |
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Breath-hold post contrast T1-weighted liver MRI is limited by the patient’s ability to cooperate with breathing instructions. Free-breathing radial imaging and compressed sensing-based motion-resolved image reconstruction (XD-GRASP) has been specifically developed to resolve motion artifacts over standard cartesian techniques. In this work, we apply XD-GRASP to enable free-breathing MRI in the hepatobiliary liver phase, a clinically relevant problem. We demonstrate that the image quality of free-breathing XD-GRASP is equal to or superior to the one using standard breath hold acquisitions. |
2472 | Comparison of Mono-, Bi-, and Stretched Exponential Diffusion-weighted MR Imaging in Differentiating Hepatic Hemangiomas and Liver Metastases | |
Yoshifumi Noda1, Keita Fujimoto1, Nobuyuki Kawai1, Kimihiro Kajta1, Yuta Akamine2, Hiroshi Kawada1, Yukichi Tanahashi1, and Masayuki Matsuo1 | ||
1Radiology, Gifu University, Gifu, Japan, 2Philips Japan, Tokyo, Japan |
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Intravoxel incoherent motion, a bi-exponential model of diffusion-weighted imaging with multiple b values, can represent pure molecular diffusion and perfusion, and be used in characterizing focal hepatic lesions. Recently, stretched exponential model has been used in several cancers. In this study, we evaluated the feasibility of stretched exponential model for differentiating hepatic hemangiomas and liver metastases. Our results showed that DDC value from a stretched exponential model was the highest diagnostic potential, so it could be a quantitative imaging biomarker for differentiating hepatic hemangiomas and liver metastases. |
2473 | Hepatobiliary Contrast Uptake Patterns in Liver Metastases from Pancreatic Ductal Adenocarcinoma: Prediction for Patients’ Overall Survival | |
Yoshifumi Noda1,2, Vinit Baliyan1, Hamed Kordbacheh1, and Avinash R Kambadakone1 | ||
1Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Radiology, Gifu University, Gifu, Japan |
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Gadoxetic acid is a liver-specific contrast agent and has been reported to be useful for the detection of liver metastases in patients with pancreatic ductal adenocarcinoma (PDAC). Recently, aberrant OATP expression has been reported in liver metastases from PDAC and is associated with poor prognosis. Our results show that patients with liver metastases demonstrating heterogeneous hypointensity on hepatobiliary phase images are associated with worse overall survival compared to those with homogeneous hypointensity. |
2474 | A preliminary study on differential diagnosis of the benign and malignant liver lesions with amide proton transfer-weighted (APTw) imaging | |
Tao Lin1, Ailian Liu 1, Jiazheng Wang 2, Nan Wang1, Lihua Chen 1, Dahua Cui1, Ying Zhao 1, Qingwei Song 1, Yishi Wang2, Renwang Pu 1, and Bingbing Gao1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Our work aimed to explore the value of amide proton transfer-weighted (APTw) imaging in diagnosing liver lesions. The result showed that novel imaging tool had a high value in differentiating benign liver lesions from malignant liver lesions (AUC: 0.801; sensitivity: 76.9%; specificity: 83.3%). |
2475 | The value of texture analysis of multiple high b-values DWI in distinguishing different types of hepatic malignant tumors | |
Ying Zhao1, Jiazheng Wang2, Zhiwei Shen2, Jianqing Sun2, Nan Wang1, Lihua Chen1, Dahua Cui1, Tao Lin1, Qingwei Song1, Renwang Pu1, Bingbing Gao1, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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In the current study, texture analysis of multiple high b-values DWI was demonstrated to be capable to identify primary hepatic cancer and hepatic metastases, which provided abundant quantitative information that may facilitate clinical management. The results showed that texture features based on b800 and b2000 DWI images was the optimal strategy to identify different types of hepatic malignant tumors (b800: sensitivity 92.0%, specificity 84.2%; b2000: sensitivity 84.0%, specificity 94.7%). |
2476 | Development of a deep learning algorithm for detection of liver cancers on Magnetic Resonance Imaging | |
Sailong Zhang1, Keith Wan-Hang Chiu1, Siu Hin Mak2, TSOUGENIS Efstratios3, and Peng Cao1 | ||
1Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong, 2The University of Hong Kong, Hong Kong, Hong Kong, 3Imsight Medical Technology Company (Hong Kong), Hong Kong, Hong Kong |
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Early detection of liver cancer is crucial for improving patient management outcome. However, liver lesions can be differencaited to be identified. In recent years, the fully convolution neural network (FCNN) has shown to be able to achieve commensurate and comparable performance of detecting various pathology on medical imaging. The goal of this study is to show the possibility of applying FCNN deep learning for training the hepatic lesion detection on dynamic contrast-enhanced Magnetic Resonance Imaging. |
2477 | Clinical Outcome of Uncinate Process Cancer versus Non-Uncinate Process Pancreatic Head Cancer: A Singe Center Retrospective Study | |
Yun Bian1, Chao Ma1, Xu Fang1, Jin Li1, Kai Cao1, Li Wang1, Jin Gang2, Jianping Lu1, and Hui Jiang3 | ||
1Radiology, Changhai hospital, Shanghai, China, 2Pancreatic Surgery, Changhai hospital, Shanghai, China, 3Pathology, Changhai hospital, Shanghai, China |
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The uncinate process has unique anatomical characteristics, which may make cancers that develop there radiopathologically different from cancers that develope elsewhere in the pancreas. Previous studies on uncinate and non-uncinate process pancreatic head cancer have yielded conflicting results. Some investigators concluded that location of pancreatic head cancer did not correlate with prognosis. Meanwhile, other investigators demonstrated a significant association between tumor location and prognosis, showing that uncinate process pancreatic head cancer was associated with a higher mortality risk versus non-uncinate process pancreatic head cancer. However, it still remains unelucidated whether tumor location is an independent prognostic factor of overall survival (OS) of pancreatic head cancer patients. In addition, it is unclear whether tumor location could guide prognostic stratification of pancreatic head cancer patients. So, the primary objectives of our study were to investigate the relationship between uncinate and non-uncinate process pancreatic head cancer and overall survival (OS) and further explore prognostic stratification between the two tumor locations and OS in different subgroups of patients. |
2478 | Simultaneous T1 and Fat Fraction Quantification using Multi-Echo Radial Look-Locker Imaging | |
Mahesh Bharath Keerthivasan1, Xiaodong Zhong2, Marcel Dominik Nickel3, David Garcia4, Maria Altbach4, Berthold Kiefer3, and Vibhas Deshpande5 | ||
1Siemens Healthcare USA, Tucson, AZ, United States, 2Siemens Healthcare USA, Los Angeles, CA, United States, 3Siemens Healthcare Gmbh, Erlangen, Germany, 4University of Arizona, Tucson, AZ, United States, 5Siemens Healthcare USA, Austin, TX, United States |
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Abdominal T1 mapping has been used for the quantification of various pathologies including the characterization of focal liver lesions and liver fibrosis. The presence of fat and iron in the liver act as confounding factors resulting in T1 estimation errors. In this work, we present a multi-echo inversion-recovery radial Look-Locker technique with FLASH readouts for simultaneous T1w, T2* and PDFF quantification. We also propose two fitting strategies to generate water-only T1 estimates from the acquired data. Performance of the method is evaluated on phantoms and in vivo results are presented. |
2479 | Multiparametric MRI evaluation of liposomal prostaglandin E1 intervention on hepatic warm ischemia-reperfusion injury in rabbits | |
Qian Ji1, JingYao Li1, Jiabing Jiang1, Robert Grimm2, and Jinxia Zhu3 | ||
1Tianjin First Central Hospital, Tianjin, China, 2Siemens Healthcare GmbH, Erlangen, Germany, 3MR collaboration, Siemens Healthcare Ltd, Beijing, China |
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This study evaluated if multiparametric magnetic resonance imaging (MRI) could identify changes in warm ischemia-reperfusion injury (WIRI) after liposomal prostaglandin E1 (Lipo-PGE1) intervention in rabbit livers. We measured blood oxygen level–dependent, diffusion tensor, and intravoxel incoherent motion imaging on functional hepatic parameters in rabbits exposed to 1) warm ischemia at different times, 2) Lipo-PGE1 interventions, and 3) sham operations. The parameters were sensitive to perfusion and oxygenation changes during WIRI. Multiparametric MRI successfully identified changes after Lipo-PGE1 intervention. These results offer new insights to quantitatively evaluate the effect of drugs on hepatic WIRI after liver transplantation and hepatectomy. |
2480 | Limits of Fat Quantification with Chemical Shift Encoded Magnetic Resonance Imaging in the Presence of Iron Overload | |
Timothy J Colgan1, Diego Hernando1,2, and Scott B Reeder1,2,3,4,5 | ||
1Radiology, University of Wisconsin - Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 3Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, 4Medicine, University of Wisconsin - Madison, Madison, WI, United States, 5Emergency Medicine, University of Wisconsin - Madison, Madison, WI, United States |
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Quantitative confounder-corrected chemical shift encoded MRI estimates of proton density fat fraction (PDFF) are corrected for R2* signal decay. However, at very high levels of iron overload, the observed signal in CSE-MRI decays rapidly (high R2*), complicating the separation of water and fat signals, and therefore the quantification of PDFF. This work characterized the degree of iron overload above which the quantification of PDFF is limited and developed practical clinical and research guidelines for PDFF estimation protocol design for 1.5T and 3.0T. |
2481 | Association between visceral adipose tissue and hepatic steatosis and steatohepatitis in obese patients | |
Ilkay S Idilman1,2, Hsien Min Low3, Tolga Gidener1, Kenneth Philbrick1, Taofic Mounajjed4, Jiahui Li1, Alina Allen5, Meng Yin1, and Sudhakar K Venkatesh1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Radiology, Hacetep University, Ankara, Turkey, 3Radiology, Tan Tock Seng Hospital, Singapore, Singapore, 4Pathology, Mayo Clinic, Rochester, MN, United States, 5Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States |
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In this study we measured visceral adipose tissue (VAT), proton density fat fraction (PDFF) of liver, liver volume and correlated with liver biopsy features in obese patients at risk for non-alcoholic fatty liver disease (NAFLD). VAT shows moderately significant association with PDFF and liver volume. VAT also shows weak but significant correlation with hepatic steatosis, non-alcoholic steatohepatitis (NASH) and fibrosis at histology. Liver volume was significantly larger in patients in hepatic steatosis, NASH and fibrosis. VAT has moderate accuracy for detection of hepatic steatosis (0.71), NASH (0.68), fibrosis (0.68) and significant fibrosis (0.73) at histology. |
2482 | Feasibility of Liver Fat Quantification based on the Threshold Extraction on fast 3D mDIXON images | |
Nan Zhang1, Qingwei Song1, Renwang Pu1, Haonan Zhang1, Yu Song1, Jiazheng Wang2, Liangjie Lin2, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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The present study aims to explore feasibility of the threshold extraction method for liver fat quantification on the CS-SENSE 3D mDIXON-Quant images. Different from the conventional measurement of liver fat contents based on regions of interest that can be limited when the patients are associated with inhomogeneous fat distribution, liver fat quantification based on the 3D threshold-extraction can be more convenient and reliable. |
2483 | Gd-BOPTA-enhanced MRI predicts the severity of esophageal varices (EV) and portal vein pressure in hepatitis B cirrhosis patients | |
Xinya Zhao1, Xianshun Yuan1, Mengxiao Liu2, Xiang Feng3, Xiangtao Lin1, and Ximing Wang1 | ||
1Department of Radiology, Shandong Provincial Hospital, Jinan, China, 2MR Scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd, shanghai, China, 3MR Scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd, Beijing, China |
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The characteristics of liver cirrhosis are usually hepatic dysfunction and portal hypertension. Portal hypertension further leads to ascites and esophageal varices (EV). To our knowledge, no methods are currently available for the simultaneous evaluation of portal hypertension and EV severity. The results of this study positively illustrate that Gd-BOPTA-enhanced MRI can serve as a novel and efficient tool to simultaneously and accurately evaluate portal hypertension and high-risk EVs. Relative enhancement ratio (RE) is correlated with estimated HVPG. The formula (-6.483+15.612*portal vein width + 2.251 * RE - 0.176 * platelet count) could be used for the prediction of high-risk EVs. |
2484 | Gadolinium-BOPTA Contrast-enhanced MRI in the Hepatobiliary Phase: Evaluating Liver Function based on the visualizing degree of Biliary System | |
Xinya Zhao1, Xianshun Yuan1, Xiang Feng2, Mengxiao Liu3, Xiangtao Lin1, and Ximing Wang1 | ||
1Department of Radiology, Shandong Provincial Hospital, Jinan, China, 2MR Scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd, Beijing, China, 3MR Scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd, shanghai, China |
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Gd-BOPTA, as a widely used hepatobiliary-specific MR contrast agent, has advantages in diagnosing focal liver lesions and may be a valuable assessment tool for the estimation of liver function. The aim of our study was to evaluate liver function according to the degree of biliary system visualization using Gd-BOPTA. Our results suggested that the degree of biliary system visualization using Gd-BOPTA-enhanced MRI may be used as a quantifiable metric to estimate liver function and liver function reserve. |
2485 | Evaluation of liver function using the hepatocyte fraction based on gadoxetic acid–enhanced MR imaging | |
Mao-Tong LIU1, Xue-Qin ZHANG1, Jian LU1, and Wei-Bo CHEN2 | ||
1Third Affiliated Hospital of Nantong University & Nantong Third People's Hospital, Nan Tong, China, 2Philips Healthcare Shanghai, China, Shang Hai, China |
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The purpose of this study was to evaluate the feasibility of using the hepatocyte fraction based on gadoxetic acid–enhanced MRI for the assessment of liver function. Firstly, T1 mapping imaging was performed before and 20 minutes after Gd-EOB-DTPA administration, The following parameters are then obtained from the images: pre- and postcontrast T1 values of the liver (T1pre and T1post), increase in the T1 relaxation rate (Δ R1), rate of the decrease of the T1 relaxation time (Δ T1), hepatocyte fraction (HeF), and uptake coefficient (K). Our study showed that hepatocyte fraction is an effective method to evaluate liver function in patients with hepatitis B cirrhosis. |
2486 | Radiomics Analysis on Gd-EOB-DTPA-Enhanced MRI for Prediction of Liver Function and Hepatic Cirrhosis | |
Xie Yuanliang1, Wang Xiang1, Li Hui1, Liu Xiaoyu1, and Sun Jianqing2 | ||
1Radiology, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, 2Clinical Science,Philips Healthcare, Shanghai, China |
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This retrospective study explored the value of a radiomics-based model on Gd-EOB-DTPA-Enhanced MRI for predicting liver function and cirrhosis in clinic. Multi-class radiomics feature extraction was performed on 2D-view whole liver at portal level on HBP MRI obtained 20 min after Gd-EOB-DTPA-enhanced MRI. A prediction model including 15 radiomics features using a machine learning logistic regression classifier showed the mean AUCs on train dataset and test dataset were 0.91 and 0.87 for diagnosing Child-Pugh A respectively; 0.93 and 0.93 for diagnosing liver cirrhosis, respectively. |
2487 | A New Possibility of Late Phase Image in Gd-EOB-DTPA-enhanced MRI: Visual Assessment of Hepatic Function and Fibrosis Based on Uptake Rate of EOB | |
Yasuhiro Inokuchi1, Masahiro Uematsu1, and Tsuneyuki Takashina1 | ||
1Radiology, Edogawa Hospital, Tokyo, Japan |
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We identified visual assessment value of late phase image to assess abnormal hepatic function and fibrosis. We retrospectively selected 41 patients who underwent Gd-EOB-DTPA enhanced MRI and classified them into three groups based on visual assessment of late phase images. Kruskal–Willis t-test was used to assess significant differences in the LSR of hepatobiliary phase, FIB-4, APRI, and platelet count. Intra-class correlation coefficient (ICC) was used for intra-reader visual assessment of late phase image. Significant differences in all parameters were observed in the groups. ICC was 0.85. Hepatic function or fibrosis might be assessed by visual assessment of late phase image. |
2488 | A unified model for hepatobiliary transporter function assessment using Gadoxetate DCE-MRI | |
Sirisha Tadimalla1,2 and Steven Sourbron2,3 | ||
1Institute of Medical Physics, University of Sydney, Sydney, Australia, 2Department of Biomedical Imaging Sciences, University of Leeds, Leeds, United Kingdom, 3Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom |
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A variety of models for Gadoxetate DCE-MRI in the liver has been proposed, but comparing results of different groups is difficult due to a lack of consistency in the definitions, nomenclature and units. We perform a rigorous classification of existing models and definitions by defining a general unified Gadoxetate DCE-MRI liver model, and identifying the relationship with existing models. Six distinct models were identified in the literature and a translation table was derived to allow direct comparison of measured quantities. The method provides a rational basis for a new standard in this field. |
2489 | Quantitative Assessment of Liver Function by Using T1mapping based on Gadoxetic Acid–enhanced MRI | |
Xueqin Zhang1, Jian LU1, Jifeng JIANG1, and Weibo CHEN2 | ||
1the Third People’s Hospital of Nantong, Nantong, China, 2Philips Healthcare, Shanghai, China |
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The purpose of this study was to investigate whether liver function as determined by indocyanine green (ICG) clearance can be estimated quantitatively from magnetic resonance T1mapping with Gd-EOB-DTPA. We used Look-Locker sequences to acquire T1 mapping images pre and post-contrast at 5, 10, 15 and 20 minutes after Gd-EOB-DTPA administration, T1 relaxation times of the liver were measured, reduction rates of T1 relaxation times were calculated, our study showed that Gd-EOB-DTPA-enhanced T1mapping MRI is helpful for the quantitative evaluation of liver function, T1 relaxation time post-contrast at 20 minutes was the independent factor to predict ICG R15>20%. |
2490 | Prediction of post-hepatectomy liver function with Dynamic Gadoxetate-Enhanced MRI | |
David Longbotham1, Daniel Wilson2, Ian Rowe3, Dhakshinamoorthy Vijayanand4, Magdy Attia4, Ashley Guthrie5, Mark Gilthorpe3, Rajendra Prasad4, and Steven Sourbron6 | ||
1University of Leeds, Leeds, United Kingdom, 2Department of Medical Physics, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom, 3Leeds Institute of Data Analytics, University of Leeds, Leeds, United Kingdom, 4Hepatobiliary and Transplantation Surgery, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom, 5Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom, 6Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom |
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The aim of this study was to identify Dynamic Gadoxetate-Enhanced MRI (DGE-MRI) biomarkers that can improve predictions of post-hepatectomy liver function. 29 patients requiring resection for colorectal liver metastases were recruited, with post-operative bilirubin as outcome measure. The results suggest that: (a) functional imaging substantially improves outcome predictions over demographical and biochemical tests; (b) it is critical to separately characterise the future liver remnant; (c) volumetry does not offer any added predictive value. We conclude that DGE-MRI may improve patient selection for hepatectomy, potentially reducing the risk of post-hepatectomy liver failure while allowing more patients to be operated. |
2491 | Comparative study of T1ρ and Gd-EOB-DTPA-enhanced T1mapping with extracellular volume fraction in assessment of liver fibrosis in rabbit model | |
Qing Wang1, wei xing1, Yanan Du1, Zuhui Zhu1, Yufeng Li1, and Jilei Zhang2 | ||
1Third Affiliated Hospital of Soochow University & First People's Hospital of Changzhou., changzhou, China, 2Clinical Science,Philips Healthcare, shanghai, China |
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This study aimed to compare the diagnostic performance for liver fibrosis staging of T1ρ and Gd-EOB-DTPA-enhanced T1mapping with extracellular volume fraction measurement in CCL4 rabbit model. Result showed that T1ρ performed better diagnostic performance and correlation with LF and fibrosis percentage of postive staining(%) than T1native. |
2492 | Diffusion Kurtosis Imaging Quantification of Liver Microscopic Changes in Rats Following Partial Hepatectomy at Different Proportions | |
Caixin Qiu1, Shuangshuang Xie1, Jinxia Zhu2, Chengwen Liu2, Robert Grimm3, Qing Li1, and Wen Shen1 | ||
1Tianjin First Center Hospital, Tianjin, China, 2MR Collaboration, Siemens Healthcare Ltd, Beijing, China, 3Siemens Healthcare GmbH, Erlangen, Germany |
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In this study, we used DKI to quantify the microscopic changes of residual liver in two groups of rats with different proportions of a partial hepatectomy (PH). All the rats underwent DWI to acquire DKI data at baseline and multiple time points after surgery. The results showed that DKI-derived MD in the 70% PH group were lower than in the 30% PH group at all time points after surgery. MD decreased to a minimum by the fifth day before rising back to baseline. This suggests that DKI is a practical technique for the timely evaluation of the liver regeneration process. |
2493 | Effect of spatial resolution on Gradient Echo Magnetic Resonance Elastography at 3T | |
Chris R Bradley1,2, Deirdre McGrath1,2, Eleanor F Cox1,2, and Susan T Francis1,2 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham, United Kingdom |
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Iron-mediated T2* effects are more prominent in MRE data acquired at 3T compared to 1.5 T, and have been suggested to lead to failure rates of up to 15% for MRE at 3T. MRE based liver stiffness was measured using the QIBA recommendation with a 2D gradient‐recalled‐echo MRE sequence using a 1.5x4.5x10 mm3 acqusition. For comparison, MRE data was also collected at 4.5mm isotropic spatial resolution. A larger voxel volume in the MRE acquisition provided higher SNR which in turn resulted in a higher proportion of voxels being fit for stiffness with confidence >0.95. |
2494 | Assessing the variation of MR and non-invasive markers in compensated cirrhosis: insights for assessing disease progression | |
Chris R Bradley1,2, Eleanor F Cox1,2, Naaventhan Palaniyappan2, Guruprasad P Aithal2, I Neil Guha2, and Susan T Francis1,2 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham, United Kingdom |
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Baseline multi-organ MRI measures of structure and haemodynamics in the liver, spleen, heart and kidneys were collected in healthy volunteers, compensated cirrhosis (CC) and decompensated cirrhosis patients to benchmark the change in measures with disease severity. In a stable CC cohort, observed annually for 3 years, we show liver T1, liver perfusion, superior mesenteric artery flow, spleen perfusion, and renal cortex T1 (measures that predict negative liver related outcomes) have sufficient resolution to track disease progression. |
2495 | A Fast MR Elastography Sequence with Interleaved Inflow Saturation and Compressed SENSE | |
Hui Wang1,2,3, Amol Pednekar2,3, Jean A. Tkach2,3, Kaley R. Bridgewater2, Andrew T. Trout2,3, Jonathan R. Dillman2,3, and Charles L. Dumoulin2,3 | ||
1Philips, Cincinnati, OH, United States, 2Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 3Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States |
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We describe a fast field-echo Magnetic Resonance Elastography pulse sequence to measure liver stiffness in less than half the breath hold time (≈6.3 sec/slice) of the conventional implementation. Key features include: 1) non-alternating motion encoding gradients to allow a shorter TR while maintaining appropriate gradient waveform polarity synchronization with the applied mechanical motion; 2) interleaved flow saturation pre-pulses to suppress flow; and 3) pseudorandom undersampling k-space with Compressed SENSE reconstruction. The technique was validated in two gel phantoms differing in stiffness and used to evaluate liver stiffness in five volunteers. |
2496 | A Fast 3D MR Elastography Sequence for Measurement of Liver Stiffness in One Breath Hold | |
Hui Wang1,2,3, Amol Pednekar2,3, Jean A. Tkach2,3, Charles L. Dumoulin2,3, Kaley R. Bridgewater2, Andrew T. Trout2,3, and Jonathan R. Dillman2,3 | ||
1Philips, Cincinnati, OH, United States, 2Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 3Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States |
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We describe a 3D fast field echo (FFE) Magnetic Resonance Elastography (MRE) pulse sequence for measurement of liver stiffness in a single breath hold. The key features of the sequence include: 1) 3D acquisition; 2) mechanical wave magnitude labelling of 1.5 cycles of motion for each RF excitation; 3) flow saturation pre-pulses to suppress vascular flow; and 4) pseudorandom undersampling of k-space with Compressed SENSE reconstruction. The technique was validated in two gel phantoms with different stiffness and used to measure liver stiffness in five volunteers. |
2497 | Comparison Of Manual And Automatic Liver MR Elastography Processing For Shear Stiffness Estimation In Children And Young Adults | |
Deep B. Gandhi1, Adebayo B. Braimah1, Jonathan Dudley1, Jean A. Tkach1, Amol Pednekar1, Andrew T. Trout1, Alexander G. Miethke2, Jeremiah A. Heilman3, Bogdan Dzyubak4, David S. Lake4, and Jonathan R. Dillman1 | ||
1Imaging Research Center, Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Division of Hepatology, Gastroenterology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 3Resoundant Inc., Rochester, MN, United States, 4Department of Radiology, Mayo Clinic, Rochester, MN, United States |
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Autoimmune liver diseases lead to fibrosis and is manifested as excessive accumulation of extracellular matrix and collagen that ultimately causes increase in liver stiffness. MR Elastography (MRE) has proven to be an important tool to clinically diagnose liver fibrosis. In this study we performed MRE at 1.5T on 65 subjects with autoimmune liver disease. The data was then manually processed by 2 independent readers and an automated algorithm. Near-perfect correlation and excellent agreement were observed between Reader1 and Reader2 against the automated algorithm (r=0.987 and r=0.981, respectively). Readers had excellent inter-reader agreement(ICC=0.988) and the automated algorithm also demonstrated perfect reproducibility. |
2498 | Comparison Of GraSE Versus FSE T2 Mapping In The Liver And Correlation With Histologic Fibrosis Stage In Pediatric Autoimmune Liver Disease | |
Deep B. Gandhi1, Jonathan Dudley1, Ruchi Singh2, Jean A. Tkach1, Divya Sharma3, Amy Taylor2, Alexander G. Miethke2, and Jonathan R. Dillman1 | ||
1Imaging Research Center, Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Division of Hepatology, Gastroenterology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 3Department of Pathology and Laboratory Medicine, University of Cincinnati Medical Center, Cincinnati, OH, United States |
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Autoimmune liver diseases can lead to hepatic fibrosis which, when progressive, can lead to liver failure ultimately requiring transplantation. In this study 31 patients with autoimmune liver diseases underwent conventional and GraSE T2 mapping at 1.5T as well as liver biopsy with histologic fibrosis staging. Significant positive correlations between GraSE and conventional liver T2 measurements were observed for the weighted mean of all slices (r=0.80; p<0.0001) and for individual slices from all subjects (r=0.72; p<0.0001). Conventional T2 measurements were higher, on average, than GraSE T2 measurements. There was no significant correlation observed between liver T2 measurements and histologic fibrosis stage. |
2499 | Comparison of T1rho and Diffusion Kurtosis Imaging in Evaluation of Hepatic Sinusoidal Obstruction Syndrome in Rats | |
Jian Lyu1,2, Guixiang Yang3,4, Yingjie Mei5, Li Guo1,2,6, Yihao Guo1,2, Kaixuan Zhao1, Xinyuan Zhang1,2, Yikai Xu3,4, and Yanqiu Feng1,2 | ||
1School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 2Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China, 3Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China, 4Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China, 5Philips Healthcare, Guangzhou, China, 6Department of MRI, The First People’s Hospital of Foshan (Affiliated Foshan Hospital of Sun Yat-sen University), Foshan, China |
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T1rho represents the spin-lattice relaxation time constant in the rotating frame, which sever as a biomarker for liver function associated with alteration in the macromolecular content of tissues. Diffusion kurtosis imaging (DKI) was developed to measure non-Gaussian diffusion, which have increasingly been used to characterize microstructural heterogeneity in vivo. Sinusoidal obstruction syndrome (SOS) is a dynamic process with complex histopathological changes in liver. Our study attempts to investigate the relationship between T1rho and DKI parameters in the light of pathological examinations to help us better understand the contribution of the possible factors to changes in T1rho. |
2500 | Staging liver fibrosis on multi-parametric MRI in a rabbit model: elastography, susceptibility-weighted imaging and T1ρ imaging | |
Hai-Feng Liu1, Li-Qiu Zou2, Qing Wang1, Yu-Feng Li1, Ya-Nan Du1, and Wei Xing1 | ||
1Third Affiliated Hospital of Soochow University, changzhou, China, 2Sixth Affiliated Hospital of Shenzhen University, shenzhen, China |
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In this prospective experimental study, we evaluated the independent value and diagnostic efficacy of multi-parametric MRI using quantitative measurements of the liver stiffness (LS) on MRE, liver-to-muscle signal intensity ratio (SIR) on SWI, and T1ρ value for staging LF in a rabbit model. |
2501 | Evaluation of liver fibrosis and cirrhosis on the basis of T1 mapping and the impact of inflammation, age and liver volume as confounding factors | |
Hanns-Christian Breit1, David Winkel2, and Tobias Heye2 | ||
1Radiology, University Hospital of Basel, Basel, Switzerland, 2University Hospital of Basel, Basel, Switzerland |
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Aim of our study was to evaluate confounding factors for the assessment of liver fibrosis. A total of 200 patients were retrospectively included (67 patients with fibrosis or cirrhosis, 40 patients with acute elevation of laboratory parameters, 93 healthy patients). T1 values were significantly lower in healthy patients without known fibrotic changes than in patients with acute liver disease or known fibrosis or cirrhosis. Therefor T1 mapping seems to be a capable predictor for the detection of liver fibrosis and cirrhosis. |
2502 | Whole-liver apparent diffusion coefficient histogram analysis for the diagnosis and staging of liver fibrosis | |
Zheng You1,2, Lei Jun-qiang2, and Xu Yong-sheng2 | ||
1First Clinical Medical College of LanZhou University, Lanzhou, Gansu, China, 2Radiology, First Hospital of LanZhou University, Lanzhou, Gansu, China |
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This study aimed to determine whether whole-liver apparent diffusion coefficient (ADC) histogram parameters can contribute to hepatic fibrosis staging. We evaluated quantitative histogram parameters between different pathological fibrosis stages. And the diagnostic performance of ADC histogram parameters in discriminating stage 1 or greater (≥F1), stage 2 or greater (≥F2), and stage 3 or greater (≥F3) liver fibrosis were compared. The results showed that many histogram parameters (kurtosis, skewness, entropy, mode, 75th and 90th percentiles) had statistical significance among the pathologic liver fibrosis stages (P<0.05), and kurtosis yielded the highest area under the curve (0.801). |
2503 | Comparison of the degree of R1rho dispersion in liver between healthy volunteers and patients with liver disease | |
Minori Onoda1, Yu Ueda2, Satoshi Kobayashi1,3,4, Tosiaki Miyati3, Naoki Ohno3, Yudai Shogan1, Tadanori Takata1, Yukihiro Matsuura1, and Toshifumi Gabata4 | ||
1Department of Radiological Technology, Kanazawa University hospital, Kanazawa, Japan, 2Philips Japan, Tokyo, Japan, 3Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan, 4Department of Radiology, Kanazawa University Hospital, Kanazawa, Japan |
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In this study, we compared the degree of R1rho dispersion in liver of healthy volunteers and patients with liver disease to better understand the behavior of T1rho in liver. T1rho in normal liver tissue was correlated with the perfusion-independent diffusion coefficient (D) calculated by IVIM analysis, whereas in patients with liver disease, there was no correlation between T1rho and D. Furthermore, there was no significant difference between the R1rho dispersion values in liver between volunteers and patients. |
2504 | Free-Breathing, Confounder-Corrected T1 Mapping in the Liver with 3D Radial Inversion Recovery MRI | |
Yavuz Muslu1,2, Steven Kecskemeti2,3, Diego Hernando1,2,4, and Scott B. Reeder1,2,4,5,6 | ||
1Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Waisman Center, University of Wisconsin-Madison, Madison, WI, United States, 4Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 5Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States, 6Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Quantitative T1 mapping in the liver is an emerging biomarker of hepatic fibrosis and characterization of liver function. Existing T1 mapping methods in abdomen are generally sensitive to tissue fat and B1 inhomogeneities , both of which confound estimates of T1. Further, Cartesian methods may suffer from motion related ghosting artifacts. In this work, we propose to combine 3D-radial inversion recovery with chemical shift encoded imaging to jointly estimate T1 of water, T1 of fat, proton density fat fraction (PDFF), and B0 and B1 inhomogeneities. The feasibility and performance of the proposed method are evaluated with simulations, and phantom experiments. |
2505 | Assessment of fibrosis grades in chronic liver disease using liver heterogeneity and nodularity quantification program | |
Tae-Hoon Kim1, Ji Eon Kim1, Jong-Hyun Ryu1, SeungJin Kim2, Min-Gi Pak2, Chang-Won Jeong1, and Kwon-Ha Yoon1,3 | ||
1Medical Convergence Research Center, Wonkwang University, Iksan, Korea, Republic of, 2Medical Science, Wonkwang University, Iksan, Korea, Republic of, 3Radiology, Wonkwang University, Iksan, Korea, Republic of |
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Liver fibrosis is a hallmark of chronic liver disease (CLD) characterized by the excessive accumulation of extracellular matrix proteins. To diagnose and grade the liver fibrosis, liver biopsy is the reference standard, however the method has some limitations, including potential pain, sampling variability, and low patient acceptance. Therefore, there have been efforts to develop noninvasive imaging techniques and quantification softwares for diagnosis, staging, and monitoring of liver fibrosis. This study developed a MRI-suitable quantification program for assessing heterogeneity and nodularity in the liver and compared the difference between fibrosis grades in CLD. |
2506 | Histogram Analysis of T1 relaxation time in the rotating frame and Apparent Diffusion Coefficient for Diagnosis of Liver Fibrosis | |
Jing Li1, Xinming Li1, Xianyue Quan1, Genwen Hu2, Yingjie Mei3, Da Shi1, Shisi Li4, Zhendong Qi1, and Xiao Zhang5 | ||
1Zhujiang Hospital, Southern Medical University, Guangzhou, China, 2Shenzhen People’s Hospital, Clinical Medical College of Jinan University, Shenzhen, China, 3Phlips Healthcare, Guangzhou, China, 4The Third Affiliated Hospital of Southern Medical University, Guangzhou, China, 5Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China |
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To explore the potential of histogram analysis to evaluate the liver fibrosis stages, histogram of T1rho and ADC were acquired from liver fibrosis model built in seventy-five rats by injecting 50% carbon tetrachloride and olive oil. In this study, we found that the parameters of histogram analysis showed strong correlations with liver fibrosis stages, as well as inflammatory activity,while T1rho is regarded to be better than ADC. |
2507 | DCE-MRI with a free-breathing compressed sensing VIBE for pancreatic ductal adenocarcinoma: correlation with ECV fraction | |
Yoshihiko Fukukura1, Yuichi Kumagae1, Hiroaki Nagano1, Koji Takumi1, Hiroshi Imai2, Marcel Dominik Nickel3, and Takashi Yoshiura1 | ||
1Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan, 2Siemens Healthcare K.K., Tokyo, Japan, 3Siemens Healthcare, Erlangen, Germany |
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This study focused on the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) with compressed sensing T1-weighted volumetric interpolated breath-hold examination (csVIBE) for pancreatic ductal adenocarcinoma (PDAC) and correlation with extracellular volume fraction (ECV). Our results indicated that DCE-MRI obtained with csVIBE is feasible for the assessment of PDACs and the ECV fraction can be used in place of DCE-MRI parameters for predicting treatment response or survival in patients with PDAC. |
2508 | Acute pancreatic fat change in probiotics and intermittent fasting trial | |
Jun Lu1, Dech Dokpuang1, Rinki Murphy2, Lindsay Plank2, John Zhiyong Yang1, Reza Nemati3, and Kevin Haokun He4 | ||
1School of Science, Auckland University of Technology, Auckland, New Zealand, 2School of Medicine, University of Auckland, Auckland, New Zealand, 3Canterbury Health Laboratories, Canterbury District Health Board, Christchurch, New Zealand, 4Saint Kentigern College, Auckland, New Zealand |
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Pancreatic fat has been reported to be closely related to type 2 diabetes risk, hence is the subject of our investigation in a clinical trial. Pancreatic fat changes before and after a 12-week intermittent fasting programme with or without daily probiotic were determined using magnetic resonance imaging (MRI). Two-point Dixon protocol was used to scan patients and manual image-processing method was used to quantify the fat. A significant reduction in pancreatic fat was observed after intermittent fasting, while addition of probiotic did not increase pancreatic fat reduction. |
2509 | Visualization of pancreas and reproducibility of metrics with diffusion kurtosis imaging in rats at 11.7T MRI | |
Tingting Zhang1, Yimei Lu1, He Wang2, and Dengbin Wang1 | ||
1Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, 2Institute of Science and Technology for Brain-Inspired Intelligence, Shanghai, China |
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This study aimed to visualize the pancreas of rats with uncontrast MRI and validate the contour of pancreas by infusing gadolinium solution into the biliopancreatic duct for post-mortem imaging at 11.7 T MRI. Also, the reproducibility of metrics with diffusion kurtosis imaging (DKI) were evaluated in the pancreas of rats. We found that MRI at 11.7T could facilitate preclinical experiments in rodent pancreas and DKI appeared to be a useful noninvasive imaging tool to research pancreatic diseases with satisfactory reproducibility. |
2510 | Quantitative study on DWI, T1 mapping, T2 mapping, APT, IVIM and 3D mDIXON-quant of pancreas in fatty liver patients | |
Yuhui Liu1,2, Ailian Liu3, Queenie Chan4, Qinhe Zhang3, and Wan Dong3 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, Dalian, China, 2Dalian medical university, Dalian, China, 3Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 4Philips Healthcare, Beijing, China |
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At present study, ADC, T1, T2, APT, sADC, D*,D, f, FF and R2* of pancreas in patients with fatty liver and control subjects were measured. This study viewed that there was a significant difference in sADC between two groups (P=0.01). This may illustrate that fatty liver has an impact on the function of pancreas. |
2511 | MRI Relaxometry: Pancreatic R2* Values in Relation to Hepatic and Splenic R2* with Respect to Transfusion Frequency | |
Arthur Peter Wunderlich1,2, Stephan Kannengießer3, Lena Kneller1, Berthold Kiefer3, Holger Cario4, Meinrad Beer1, and Stefan Andreas Schmidt1 | ||
1Dept. for Diagnostic and Interventional Radiology, Ulm University, Medical Center, Ulm, Germany, 2Section for Experimental Radiology, Ulm University, Medical Center, Ulm, Germany, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Dept. for Pediatric and Adolescent Medicine, Ulm University, Medical Center, Ulm, Germany |
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To study pancreatic iron accumulation in liver overloaded patients in relation to hepatic and splenic iron content, 90 patients were investigated at 1.5 T MRI with a prototype breath hold volumetric 3D GRE sequence with in-line R2* calculation. Mean R2* values were determined in liver, spleen and pancreas by manually drawn ROIs. Pancreatic R2* values were related to hepatic and splenic R2* by multiple linear regression, yielding significant correlation in two subgroups: a) frequently transfused patients, and b) regular transfused patients. Correlation, and therefore, ability to predict pancreatic R2*, improved by including splenic R2* compared to solely hepatic R2*. |
2512 | Effect of Compressed SENSE on 3D mDixon Sequences for Liver Imaging : A Comparative Study with 3D Vane Sequences | |
Qiang Wei1, Ailian Liu1, Dongna Yi1, Queenie Chan2, Qingwei Song1, Renwang Pu1, Lihua Chen1, Yu Zhang1, and Jiazheng Wang2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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The challenging problem of MR living examination is how to obtain images with diagnostic image quality in a shorter scan time. The purpose of this study is to explore the value of 3D mDixon sequence using compressed SENSE (CS) technology in liver examination. Compared with free-breathing mDixon with 3D Vane sequence, breath-hold (BH) 3D mDixon SENSE factor 2 and BH 3D mDixon CS factor 2 sequence can effectively improve the signal-to-noise ratio, contrast-to-noise ratio of the image and the image quality, and significantly shorten the scanning time. |
2513 | PANCREATIC IRON IN PATIENTS WITH HEMOCHROMATOSIS: NOT AS RARE AS CARDIAC IRON | |
Jin Yamamura1, Peter Nielsen2, Sarah Keller3, Regine Grosse4, Björn Schönnagel1, and Roland Fischer2,5 | ||
1Diagnostic and Interventional Radiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 2Biochemistry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 3Diagnsotic and Interventional Radiology, Universitätsmedizin Charité, Berlin, Germany, 4Hemato-Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 5Diagnostic Radiology, UCSF-Benioff Children's Hospital Oakland, Oakland, CA, United States |
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HFE-associated hereditary Hemochromatosis (HFE-HH) is the most frequent monogenic genetic disorder in the Caucasian population. The excessive iron storage in organs are common, affecting the liver mostly (> 90 %) resulting in a potentially severe liver damage (fibrosis, cirrhosis). In recent years, hepatic and cardiac iron deposition has been studied in detail. Due to its involvement in the development of diabetes - a frequent co-morbidity in iron overload diseases - pancreatic iron should become a field of interest. This study aims to determine the pancreatic iron and fat content in patients with HFE-HH. |
2514 | Quantification of pancreatic volume and clinical correlations in patients with hemoglobinopathies | |
Antonella Meloni1, Massimiliano Missere2, Gennaro Restaino2, Laura Pistoia1, Vincenzo Positano1, Emanuele Grassedonio3, Nicolò Schicchi4, Giuseppe Peritore5, Francesco Massei6, Nicola Dello Iacono7, Angelica Barone8, and Alessia Pepe1 | ||
1MRI Unit, Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy, 2Fondazione di Ricerca e Cura "Giovanni Paolo II", Campobasso, Italy, 3Policlinico "Paolo Giaccone", Palermo, Italy, 4Azienda Ospedaliero-Universitaria Ospedali Riuniti "Umberto I-Lancisi-Salesi", Ancona, Italy, 5"ARNAS" Civico, Di Cristina Benfratelli, Palermo, Italy, 6Azienda Ospedaliero Universitaria Pisana – Stabilimento S.Chiara, Pisa, Italy, 7Ospedale Casa Sollievo della Sofferenza IRCCSOspedale Casa Sollievo della Sofferenza IRCCS, San Giovanni Rotondo, Italy, 8Azienda Ospedaliero-Universitaria di Parma, Parma, Italy |
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In patients with hemoglobinopathies fat infiltration is a common finding and pancreatic volume is significantly lower than in normal subjects but it is not associated to age or gender. Pancreatic iron overload is present in the 74% of the patients and it is associated with reduced pancreatic volume. Patients with diabetes have a lower pancreatic volume. |
2515 | Quantitative assessment of the pancreas in healthy subjects using DWI, IVIM, and 3D mDixon-quant: correlation with age, gender and BMI | |
Qinhe Zhang1, Wan Dong1, Jiazheng Wang2, Yishi Wang2, and Ailian Liu1 | ||
1The first affiliated hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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This study measured the quantitative imaging metrics of the pancreas using DWI, IVIM, and 3D mdixon-quant sequences in healthy subjects and correlated these quantitative metrics with age, gender and BMI. This study showed that there were noticeable differences in sADC, f between genders (p<0.05). It shows that pancreatic cells of male are closely arranged, cell gap is reduced, and water diffusion is limited and pancreatic perfusion reduce,which may be because pancreatic fat content of male overweigh that of female(5.16% vs.3.68%). |
2516 | Explore the relationship between liver and pancreatic fat contents through 3D mDIXON Quant | |
Yaru You1, Qinhe Zhang1, Ailian Liu1, Jiazheng Wang2, and Liangjie Lin2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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In recent years, population of non-alcoholic fatty liver diseases (NAFLD) have shown a trend of increasing. Besides, studies have reported that NAFLD was associated with pancreatic fat infiltration. 3D mDixon Quant has been widely used for evaluation of fat fraction in various organs/tissues. In the present study, the 3D mDixon Quant sequence was employed to assess the relationship between liver and pancreatic fat contents. Results suggested that there was a significant positive correlation between liver and pancreatic fat contents (r=0.624, P<0.05), which may be helpful for clinical diagnoses. |
2517 | Quantification of pancreatic fat content: A Comparison of freehand regions of interest placement and threshold-based segmentation | |
Yaru You1, Qinhe Zhang1, Ailian Liu1, and Jiazheng Wang2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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The diagnosis pancreatic fat infiltration is commonly performed with consideration of histopathology in combination with CT /MRI images. This study evaluated the performance of two fat content measurement methods using 3D mDIXON Quant images, based on interest-based hand-drawn area (ROI) placement and threshold-based segmentation. Results by the two methods show good agreement, indicating that both of the two methods can be reliable for evaluation of the pancreas fat content. While, the method based threshold segmentation is recommended in this study, since it can provide a full evaluation of fat contents across the pancreas and can be more convenient in implementation. |
2518 | Predicting the resectability and pathological grading of pancreatic cancer by intra voxel incoherent motion diffusion-weighted imaging | |
Qi liu1, Jing Gang Zhang1, Jie Chen1, Wei Xing1, and Jilei Zhang2 | ||
1Changzhou First People's Hospital, Changzhou, China, 2Clinical Science, Philips Healthcare, Shanghai, China |
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The resectability and pathological grade of pancreatic cancer are important for prognosis of patients. We try to predict the pathological grade and the resectability of pancreatic cancer by quantitative IVIM-DWI. Comparing the IVIM parameters of resectable and unresectable pancreatic cancer, poorly differentiated and highly-moderately differentiated pancreatic cancer, we found that poorly differentiated pancreatic cancer had lower f value than highly-moderately differentiated pancreatic cancer, and resectable pancreatic cancer had higher d, f values than unresectable pancreatic cancer. The quantitative IVIM parameters can predict the resectability and pathological stage of pancreatic cancer, which can be helpful for assessment of resectability. |
2519 | Why you shouldn’t report pancreas MRI-PDFF ‘for free’ from a liver scan | |
Alexandre Triay Bagur1, Ged Ridgway2, Michael Brady2, and Daniel Bulte1 | ||
1Department of Engineering Science, University of Oxford, Oxford, United Kingdom, 2Perspectum Diagnostics, Oxford, United Kingdom |
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The proximal locations of the liver and pancreas in the abdomen make it tempting to report the PDFF of both in a single scan. However, published methods for liver fat measurement need revision before they accurately measure pancreatic fat. UK Biobank scans were used to quantify the quality of fits of a method developed previously for liver PDFF when applied to the pancreas. Pancreas fits were an order of magnitude lower than fits in the liver or the spleen. This could be due to a suboptimal acquisition or because the liver fat model does not approximate well to the pancreas. |
2520 | Effect of different Compressed-SENSE acceleration factors on pancreas volume using 3D mDIXON Quant | |
Jie Yang1, Qinhe Zhang1, Ailian Liu1, Jiazheng Wang2, and Zhongping Zhang2 | ||
1The first affiliated hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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The pancreatic volume can reflect the function of the pancreas to a certain extent. The 3D mDixon Quant can be used to assess the volume of the tissue structure, but some patients cannot tolerate the long-term breath test. This study was designed to ensure pancreas volume using different CS acceleration factors on the premise of ensuring image quality. The results show that CS-SENSE 6 guarantees image quality and reduces scan time. |
2521 | Clinical value of N-acetyl mucinous compounds and lipid peaks in differentiating benign and malignant ovarian mucinous tumors by MR spectroscopy | |
Mayumi Takeuchi1, Kenji Matsuzaki2, and Masafumi Harada1 | ||
1Department of Radiology, Tokushima University, Tokushima, Japan, 2Department of Radiological Technology, Tokushima Bunri University, Sanuki-city, Japan |
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MR spectroscopy of pathologically proven 26 ovarian mucinous tumors (9 benign and 17 malignant) was retrospectively evaluated. N-acetyl mucinous compounds (NAMC) peak at 2 ppm was observed in all 26 lesions. Lipid peak was observed in 1 of 9 benign tumors (11%) and 12 of 17 malignant tumors (71%). The presence of lipid peak for the diagnosis of malignancy had a sensitivity of 71%, specificity of 89%, PPV of 92%, and NPV of 62%. We conclude that the bimodal peaks of NAMC and necrosis-associated lipid are suggestive of malignant mucinous tumors. |
2522 | MRI findings of uterine adenomatoid tumors including diffusion-weighted imaging with pathologic correlation | |
Mayumi Takeuchi1, Kenji Matsuzaki2, and Masafumi Harada1 | ||
1Department of Radiology, Tokushima University, Tokushima, Japan, 2Department of Radiological Technology, Tokushima Bunri University, Sanuki-city, Japan |
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Uterine adenomatoid tumor (AT) is a rare benign neoplasm of mesothelial origin. MRI findings of surgically proven 10 ATs were retrospectively evaluated. Most ATs (9/10) appeared as a heterogeneous intensity mass on T2WI with admixture of well-defined myoma-like low intensity area reflecting the areas of smooth muscle hypertrophy, and ill-defined high intensity areas reflecting the areas of abundant tubules. AT may contain high intensity areas on DWI, occasionally appearing as ring-like high intensity area (3/9), with relatively high ADC (6/9) due to T2 shine-through effect. Intra-tumoral hemorrhage was observed on SWAN (1/6) but not on T1WI (0/10). |
2523 | Compressed Sensing with and without Deep Learning Reconstruction: Comparison of the Utility for Women’s Pelvic MRI with Parallel Imaging | |
Takahiro Ueda1, Yoshiharu Ohno1, Kaori Yamamoto2, Akiyoshi Iwase3, Takashi Fukuba3, Yuki Obama1, Kazuhiro Murayama4, and Hiroshi Toyama1 | ||
1Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 2Canon Medical Systems Corporation, Otawara, Japan, 3Radiology, Fujita Health University Hospital, Toyoake, Japan, 4Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan |
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There have been no major reports for assessing the utility of compressed sensing (CS) and deep learning reconstruction (DLR) on women’s pelvic MRI as compared with routinely applied parallel imaging (PI). We hypothesized that CS with DLR was able to improve image quality and shorten examination time on women’s pelvic MRI, when compared with PI. The purpose of this study was to directly compare the utility of CS and DLR with PI at women’s pelvic MRI examination in patients with different women’s pelvic diseases. |
2524 | Can T2 mapping be used to differentiate endometrial cancer from benign lesion? | |
han xu1, jie zhang2, ximing wang3, qingwei liu3, and xiang feng4 | ||
1radiology, shandong provincial hospital, JINAN, China, 2shandong provincial hospital, JINAN, China, 3shandong provincial hospital, jinan, China, 4MR Scientific Marketing,Diagnostic Imaging, Siemens Healthcare Ltd, beijing, China |
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This study aimed to investigate the feasibility of T2 mapping in differentiating endometrial cancer (ECA) from benign endometrial lesions (BEL), as well as to evaluate the histopathological stages, grades and types of ECA.We measured the mean T2 values of 51 endometrial cancer,12 benign endometrial lesions and 23 normal endometrium of volunteers.We found the mean T2 values were signifcantly different among ECA, BEL and normal volunteers, and could be used to distinguish different types of ECA, but could not distinguish different stages or grades of ECA. |
2525 | Application value of DKI combined with APT in differentiating pathological grades of squamous cell carcinoma of cervix | |
Yaxin Niu1, Shifeng Tian1, Wan Dong1, Xing Meng1, Lihua Chen1, Qingwei Song1, Jiazheng Wang2, Zhiwei Shen2, Ailian Liu1, and Queenie Chan2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Da Lian, China, 2Philips Healthcare, Beijing, China, Bei jing, China |
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We aimed to explore the value of amide proton transfer-weighted (APTw) imaging combined with diffusion kurtosis imaging (DKI) in differentiating pathological grades of squamous cell carcinoma (SCC) of cervix. The result showed that the highest diagnostic efficacy (AUC: 0.971) was acquired using APTw combined with mean kurtosis (MK). |
2526 | Quantitative analysis with T2 mapping in the differentiation between uterine submucous myoma and endometrial polyps | |
Liuhong Zhu1, Puyeh Wu2, and Jianjun Zhou1 | ||
1Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, China, 2MR Research China, GE Healthcare, Beijing, China |
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It is challenging to differentiate between uterine submucous myoma and endometrial polyps, due to a high similarity of their manifestations in conventional MRI. Meanwhile, T2 mapping is an objective and stable technique which has been applied to diagnosis of many diseases. Here we evaluate the value of quantitative measurements derived from T2 mapping and DWI in differentiating between uterine submucous myoma and polyps. We found a descending order of T2 values from healthy endometrium, endometrial polyp to submucous myoma group. We concluded that T2 mapping can be used as a quantitative tool in the differentiation between submucous myoma and polyps. |
2527 | The value of ESWAN in diagnosis and differential diagnosis of endometrial carcinoma and endometrial polyp | |
Xing Meng1, Ailian Liu 1, Shifeng Tian1, Ye Ju1, and Qingwei Song1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Enhanced T2* weighted angiography (ESWAN) has been applied in the diagnosis of female pelvic tumor, but no study on the differentiation of endometrial cancer and related benign lesions by ESWAN has been found. We investigated the value of ESWAN multiple quantitative parameters in the identification of endometrial carcinoma and endometrial polyps. |
2528 | Application of amide proton transfer weighted imaging in differential diagnosis of endometrial carcinoma and benign endometrial lesions | |
Ye Ju1, Xing Meng1, Shifeng Tian1, Liangjie Lin2, Jiazheng Wang2, Zhiwei Shen2, Yishi Wang2, Yaxin Niu1, Wan Dong1, and Ailian Liu1 | ||
1First affiliated hospital of dalian medical university, Dalian, China, 2Philips Healthcare, Beijing, China |
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APT imaging has been preliminarily explored for diagnoses of cervical diseases. In this study, we investigated the potential of APTw-MRI in differential diagnosis of endometrial carcinoma and benign endometrial lesions. |
2529 | Use of amide proton transfer-weighted imaging to distinguish ovarian cysts due to endometriosis from cystadenoma and cystadenocarcinoma | |
Ye Li1, Yaxin Niu1, Xuedong Wang1, Lihua Chen1, Yanling Wu2, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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The intensity of the APT signal depends on the pH and protein content within the tissue. The later the bleeding stage is, the lower the APT value is. The ectopic endometrium repeatedly bleeds in the ovary. The blood components deposited in the cyst fluid decomposition, so the APT value of the cyst fluid is reduced. The metabolic level of tumor tissue is increased, and more protein is synthesized. Therefore, the protein content of ovarian cystadenoma and cystadenocarcinoma fluid is higher, so the APT value is increased. |
2530 | Fetal brain age estimation and anomaly detection using attention-based deep ensembles with uncertainty | |
Wen Shi1,2, Guohui Yan3, Yamin Li2,4, Haotian Li1, Tintin Liu1, Yi Zhang1, Yu Zou3, and Dan Wu1 | ||
1Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China, 2Key Laboratory of Biomedical Information Engineering of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China, 3Department of Radiology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China, 4School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai, China |
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Accurate estimation of the brain age is important for the evaluation of brain development, especially in the fetal stage when little diagnostic tools are available. This study designed attention-based deep ensembles to estimate brain age in the normal developing fetus, based on axial T2-weighted in-utero MRI images from routine clinical scans. Mean absolute error of 0.803 week was achieved, and the attention maps highlighted the regions of interest associated with the estimation. Predictive uncertainty was simultaneously quantified, and together with the proposed prediction confidence, we were able to detect several types of anomalies, including small head circumference, malformations, and ventriculomegaly. |
2531 | Development of fetal MRI in a tertiary referral center: how it impacts prenatal diagnosis and alters clinical outcome | |
Jonan Chun Yin Lee1, Renata Kiri Mak1, and Janice Wong Li Yu1 | ||
1Radiology, Queen Elizabeth Hospital, Hong Kong, Hong Kong |
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Fetal MRI is a useful investigation to visualize congenital anomalies and allow for appropriate counselling and timely intervention. Since early 2017, our hospital has begun to perform fetal MRI from obstetric referrals. 18 pregnant patients underwent fetal MRI for suspected fetal anomalies. The neurological system was the most common region of concern during fetal MRI (67%). When compared to antenatal ultrasonography, fetal MRI provided significant additional and/or change in diagnostic information in 44% of patients , and results in change in postnatal outcome and/or facilitation of postnatal management in 44% of patients, including termination of pregnancy and prompt surgical intervention. |
2532 | Placental Perfusion Imaging on Zika-Infected Rhesus Macaques using Velocity-Selective ASL MRI | |
Ruiming Chen1, Sydney Nguyen2,3,4, Kai D. Ludwig1, Daniel Seiter1, Megan E. Murphy2,3,4, Kathleen M. Anthony2,3,4, Terry K. Morgan5, Ante Zhu6,7, Dahan Kim1, Sean B. Fain1,6,7, Oliver Wieben1,6, Thaddeus G. Golos2,3,4, and Kevin M. Johnson1,6 | ||
1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Wisconsin National Primate Research Center, University of Wisconsin - Madison, Madison, WI, United States, 3Comparative Biosciences, University of Wisconsin - Madison, Madison, WI, United States, 4Obstetrics & Gynecology, University of Wisconsin - Madison, Madison, WI, United States, 5Pathology, Oregon Health & Science University, Portland, OR, United States, 6Radiology, University of Wisconsin - Madison, Madison, WI, United States, 7Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States |
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Effective non-invasive assessment of placental health, particularly in early pregnancy, is of clinical interest but currently lacking. Arterial spin labeling (ASL) MRI can safely provide local functional assessment of placental perfusion, however, placental perfusion imaging is challenging and current approaches have shortcomings. Here we investigate a multi-slice velocity-selective (VS ASL) sequence with volumetric placental perfusion assessment and report on local and global perfusion across multiple gestational stages for zika-infected rhesus macaques and healthy controls. |
2533 | Quantification of diffusion and perfusion of the placenta using whole-placenta volumetric IVIM analysis | |
Tao Lu1 | ||
1Sichuan academy of medical Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu, China |
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Placental morphological and physiological characteristics are related to health of the newborn and the adult. IVIM offers a quantitative and objective technique to measure maternal placental function without use of the contrast agent. In our study, Whole-placenta volumetric IVIM analysis is used to evaluate the parameters from IVIM of the entire placenta and avoids the subjectivity of ROI placement to ensure calculation accuracy and repeatability. |
2534 | Diagnostic accuracy of bladder invasion in cervical cancer: Comparison of T2-weighted, diffusion-weighted, and contrast-enhanced MR imaging. | |
Yen-Ling Huang1,2, Yu-Ting Huang1,3, Kueian Chen1,2,4, and Gigin Lin1,2,4 | ||
1Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan, 2Imaging Core Laboratory, Institute for Radiological Research, Chang Gung Memorial Hospital at Linkou and Chang Gung University, Taoyuan, Taiwan, 3Department of Diagnostic Radiology, Chang Gung Memorial Hospital at Keelung, Keelung, Taiwan, 4Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan |
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Cervical cancer with bladder invasion is rare and carries a poor prognosis. MR imaging is useful in the detection of bladder mucosal involvement from cervical cancer, with reported high negative predictive value, and therefore can serve to justify the necessities of invasive cystoscopy. Diffusion-weighted imaging is superior to T2-weighted and contrast-enhanced MR study in accurately diagnosing bladder invasion. |
2535 | Free-Breathing QSM and R2* Mapping of Hepatic Iron Overload Using a 3D Multi-Echo Cones Trajectory | |
Youngwook Kee1, Christopher M. Sandino2, Joseph Y. Cheng1, Timothy Colgan3, Diego Hernando3, Ann Shimakawa4, and Shreyas S. Vasanawala1 | ||
1Radiology, Stanford University, Stanford, CA, United States, 2Electrical Engineering, Stanford University, Stanford, CA, United States, 3Radiology, University of Wisconsin-Madison, Madison, WI, United States, 4GE Healthcare, Redwood City, CA, United States |
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In this study, free-breathing QSM and R2* mapping of liver iron overload was enabled using a 3D multi-echo cones trajectory. The proposed method was compared with a chemical-shift-encoded MRI technique that requires breath-holding. QSM and R2* exhibit similar image quality in axial, sagittal, and coronal views as well as good agreement in ROI-based quantitative value based on Bland-Altman and linear correlation plots. The imaging time for free-breathing liver iron quantification takes ~4 min, which can be further accelerated by increasing readout duration or using compressed sensing. |
2536 | Histological Validation of Multipeak Fat-Corrected Complex R2* Mapping for Quantification of Liver Iron | |
Collin J Buelo1,2, Jing Zhou3, Ante Zhu2,4, Kritisha Rajlawot5, Bingjun He5, Diego Hernando1,2, Jin Wang5, and Scott B. Reeder1,2,4,6,7 | ||
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Pathology, The third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China, 4Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 5Radiology, The third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China, 6Medicine, University of Wisconsin-Madison, Madison, WI, United States, 7Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Histological grading of iron deposition in the liver has been shown to correlate with conventional magnitude-based R2* mapping methods. However, magnitude-based R2* mapping methods are known to exhibit bias in the presence of fat and when signal-to-noise ratio (SNR) is low. Multipeak fat-corrected complex R2* mapping enables accurate R2* measurements by correcting for fat-related bias and the bias due to low SNR, but has not been compared to histological iron grading. In this work, multipeak fat-corrected R2* mapping is validated by comparing with histological iron grading as the reference standard. |
2537 | Evaluation of severe hepatic iron overload using a high-performance 0.55T MRI system | |
Adrienne E Campbell-Washburn1, Christine Mancini1, Anna Conrey1, Lanelle Edwards1, Hui Xue1, Peter Kellman1, W. Patricia Bandettini1, and Swee Lay Thein1 | ||
1National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States |
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Iron overload in the liver can be assessed with MRI by measurements of T2* and R2*. In this study, we assessed the dynamic range of hepatic T2* values using a high-performance 0.55T, compared to 1.5T, in patients with iron overload. Patients with iron overload had increased dynamic range of T2* values at 0.55T (T2* = 11.8 ± 9.4ms) compared with 1.5T (T2* = 5.7 ± 6.0ms), and the measurements were closely correlated between 0.55T and 1.5T (r = 0.96). The improved field homogeneity at 0.55T may provide value for stratification and monitoring of patients with severe iron overload by T2*. |
2538 | Effect of noise on R2 based iron quantitation: Numerical simulation and phantom verification | |
Zili David Chu1,2 and Raja Muthupillai3 | ||
1Radiology, Baylor College of Medicine, MISSOURI CITY, TX, United States, 2Pediatric Radiology, Texas Children's Hospital, Houston, TX, United States, 3Radiology, Baylor St. Luke's Medical Center, Houston, TX, United States |
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T2/T2* based relaxometry is increasingly used to non-invasively quantify tissue iron content in lieu of biopsy. However, studies have shown that the observed linear relationship between R2 (1/T2) and tissue iron concentrations does not hold true above an iron concentration threshold (dubbed as the ‘saturation threshold’) [1,2]. Our numerical simulations and phantom experiments show that the choice of interval between the echo times used to sample T2 decay, and noise levels play a crucial role in determining the saturation threshold, and that the linear relationship between iron concentration and R2 can be extended by judiciously varying echo spacing. |
2539 | Feasibility of Free Breathing Quantitative Susceptibility Mapping of the Liver: Comparison with a Breath-Hold Acquisition | |
Ramin Jafari1,2, Yan Wen1,2, Pascal Spincemaille2, Thanh D. Nguyen2, Martin R. Prince2, Xianfu Luo3, Daniel Margolis2, and Yi Wang1,2 | ||
1Cornell University, Ithaca, NY, United States, 2Weill Cornell Medicine, New York, NY, United States, 3Northern Jiangsu People's Hospital, Yangzhou, China |
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Quantitative Susceptibility Mapping (QSM) enables accurate non-invasive monitoring of liver iron to guide iron-chelation therapy. Feasibility of a breath-hold sequence has been demonstrated in healthy subjects and in patients. In this work we investigate feasibility of a free-breathing navigator sequence in healthy volunteers to generate QSM maps and compare its correlation with the breath-hold sequence. |
2540 | Breath-hold MRCP using Accelerated 3D-Spiral Turbo Spin-Echo Imaging | |
John P. Mugler1, Elisabeth Weiland2, Thomas Benkert2, Craig H. Meyer1, Josef Pfeuffer2, and Berthold Kiefer2 | ||
1University of Virginia, Charlottesville, VA, United States, 2Siemens Healthcare GmbH, Erlangen, Germany |
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Current free-breathing, respiratory-triggered, heavily T2-weighted 3D fast/turbo spin-echo acquisitions work well in many patients for MRCP, but non-diagnostic results are obtained in some patients, particularly those with irregular breathing patterns during the several-minute acquisition. Thus, there has been renewed interest in 3D MRCP techniques that can be completed within a single breath-hold period as an alternative for patients in whom free-breathing techniques are inadequate. This work demonstrates that breath-hold 3D MRCP based on a 3D stack-of-spirals turbo spin-echo acquisition, which uses in-plane acceleration to achieve a reasonable breath-hold time, can provide good image quality for evaluation of major ductal structures. |
2541 | Relative contribution of SWI, compared to conventional MRI, in the detection of common bile-duct (CBD) calculi | |
Vishal Singh1, Jaladhar Neelavalli2, Suhail P Parvaze2, Mamta Gupta1, A K Seth1, and Rakesh Kumar Gupta1 | ||
1Radiology, Fortis Memorial Research Institute, Gurgaon, India, 2Clinical Science, Philips Innovation Campus, Philips India Limited, Bengaluru, Karnataka, India |
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Confident detection of small common bile duct stones is clinically challenging. Ultrasound (US) has highly variable sensitivity and the sensitivity of MRCP, while better than that of US, reduces significantly for stones<5mm. In this work, we have evaluated the relative contribution of SWI in the detection of CBD stones, relying on their susceptibility property. |
2542 | Is Liver Function Affected by Resective Surgery? – Hepatocyte Uptake and Efflux to Bile in Liver Cancer Determined Using Gadoxetate Enhanced MRI | |
Christian Simonsson1,2, Markus Karlsson1,3, Bengt Norén1, Gunnar Cedersund2, Per Sandström4, Anna Lindhoff Larsson4, Nils Dahlström1,3, and Peter Lundberg1,3 | ||
1Departments of Radiation Physics, Radiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden, 2Department of Medical Engineering, Linköping University,, Linköping Univeristy, Linköping, Sweden, 3Center for Medical Image Science and Visualization (CMIV), Linköping Univeristy, Linköping, Sweden, 4Department of Surgery, Department of Clinical and Experimental Medicin, Linköping University, Linköping, Sweden |
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Just after surgery there is a period were the remnant tissue needs to match the requirement of normal liver function while recovering. This could lead to fatal consequences after too extensive surgical procedures, or due to insufficient liver function. In contrast, it might also be the case that the surgical procedure is too conservative because the predicted liver function is underestimated. This would not have been the case if it was possible to use more precise measures of liver function. We investigated the capabilities of gadoxetate enhanced MRI for determining liver function pre- and post-surgery using two separate approaches. |
2543 | Improved visualization of common bile duct stone with compressed sensing MRCP | |
Mengke Wang1, Yan Bai1, Wei Wei1, Jing An2, Yuyu Wang2, Muhammed Labeeb2, Xianchang Zhang3, and Meiyun Wang1 | ||
1Department of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s Hospital, Zhengzhou, China, 2Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 3MR Collaboration, Siemens Healthcare Ltd., Beijing, China |
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Patients with common bile duct (CBD) stone disease suffer from the relatively long scan time of magnetic resonance cholangiopancreatography (MRCP). Compressed sensing (CS) is a technique that can accelerate the speed of MRI and has been applied to MRCP. This study investigated the utility of CS-MRCP in diagnosing CBD stone disease in comparison with conventional MRCP on the 1.5T scanner. The results showed that CS-MRCP could provide comparable image quality with conventional MRCP for the diagnosis of CBD stone disease but with a substantially shorter acquisition time (1:35 vs. 4:08 mins). |
2544 | Clinical feasibility of compressed SENSE accelerated MRCP with Vital Eye in pancreaticobiliary disorders: a preliminary study. | |
Ming He1, Xiaoqi Wang2, Jiazheng Wang2, Zhengyu Jin1, and Huadan Xue1 | ||
1Department of radiology, Peking Union Medical College Hospital, Beijing, China, 2Philips Healthcare, Beijing, China |
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The purposes of this study were to prospectively evaluate the clinical feasibility of a MRCP protocol using both Vital Eye and compressed SENSE(CS-VE-MRCP) and to compare its performance with original navigator-triggered (NT) CS-NT-MRCP and NT-MRCP. The results show that the imaging quality and diagnostic performance of CS-VE-MRCP was comparable to that of NT-MRCP and slightly superior than that of CS-NT-MRCP. Besides, the scan time of CS-VE-MRCP was significantly decreased compared to that of NT-MRCP. The combination of compressed SENSE and Vital Eye in MRCP was feasible, suggesting the potential of imaging time reduction without pampering the diagnostic capability. |
2545 | Pancreaticobiliary System Evaluation via BH-MRCP using SPACE: A Comparison with Conventional NT-MRCP at 3 Tesla | |
Qiuxia Luo1, Xiaoyong Zhang2, Qianwei Xie1, Guijin Li3, Bingjun He1, and Jin Wang1 | ||
1The Third Affiliated Hospital,Sun Yat-sen University, Guangzhou, China, 2MR Collaborations, Siemens Healthcare Ltd, Shenzhen, China, 3Siemens Healthcare Ltd, Guangzhou, China |
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Conventional three-dimensional navigator-triggered magnetic resonance cholangiopancreatography (NT-MRCP) is widely used in clinics for the evaluation of the anatomy and abnormalities of the pancreaticobiliary system. However, the method has limitations because of its extensive time to acquire images. This study explored the efficiency and the clinical utility of 3D breath-hold MRCP (BH-MRCP) as an alternative to conventional NT-MRCP at 3 Tesla. Based on these, methods used on a sample population of 25 patients, the results showed that the BH-MRCP technique can be a viable alternative to enhance the clinical workflow of pancreatobiliary MRI. |
2546 | Better Background suppression with GRASE-MRCP using MSDE | |
Mamoru Takahashi1, Yasuo Takehara2, Takuya Matsumoto3, Yoshikazu Nagura3, Tomoyasu Amano3, Norihiro Tooyama1, Katsutoshi Ichijo1, Yasutomo Katsumata4, and Satoshi Goshima5 | ||
1Radiology, Seirei Mikatahara General Hospital, Hamamatsu, Japan, 2Nagoya University, Graduate School of Medicine, Nagoya, Japan, 3Seirei Mikatahara General Hospital, Hamamatsu, Japan, 4Philips Electronics Japan, Ltd., Tokyo, Japan, 5Hamamatsu University School of Medicine, Hamamatsu, Japan |
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MRCP accelerated with GRASE (GRASE-MRCP) allowed single breath-holding 3D MRCP and better depiction of the cystic duct because of short TE. On the other side, background signal such as blood vessels sometimes remained. Incorporating MSDE into GRASE-MRCP made it possible to suppress the background signals without extending the image time and reducing the image quality. |
2547 | Comparison of breath-hold and respiratory-triggered 3D-SPACE MRCP sequences in the diagnosis of choledocholithiasis | |
Xin Li1, Yue Qin1, Yifan Qian1, Juan Tian1, Shaoyu Wang2, Yinhu Zhu1, Liyao Liu1, Yanqiang Qiao1, and Boyuan Jiang1 | ||
1XI’AN DAXING HOSPITAL, ShaanXi, Xi’an, China, 2Siemens Healthcare Ltd, ShaanXi, Xi’an, China |
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Magnetic resonance cholangiopancreatography (MRCP) is an effective imaging modality for the evaluation of anatomy and abnormalities of biliary and pancreatic system. The main drawback of conventional navigator-triggered (NT) MRCP is the long acquisition time resulting in a greater variability in the depth of respiration, which may create image blurring and motion artifacts. In this study, we performed MRCP scanning using a single breath hold (BH) 3D SPACE and NT SPACE protocols to evaluated the image quality and acquisition time in patients with choledocholithiasis. |
2548 | MR cholangiopancreatography in a single breath-hold: comparative effectiveness between 3D GRASE and 2D thick-slab SSFSE | |
Cheng-Ping Chien1,2, Feng-Mao Chiu3, and Hsiao-Wen Chung1 | ||
1Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan, 2Taipei Beitou Health Management Hospital, Taipei, Taiwan, 3Philips Healthcare, Taipei, Taiwan |
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3D MR cholangiopancreatography (MRCP) based on gradient- and spin-echo (GRASE) and 2D thick-slab MRCP using fast spin-echo (FSE), both acquired within single breath-hold, were compared using a 4-point score at 3T on 95 healthy subjects (age range = 25-75) in eight different segments of hepatic and pancreatic ducts. 3D GRASE outperformed 2D thick-slab FSE in the common bile duct and common hepatic duct, but compared inferiorly in right anterior hepatic duct (p < 0.001), with insignificant difference (p > 0.05) for the other five ducts. It is concluded that 2D thick-slab FSE MRCP complements 3D GRASE MRCP if performed additionally. |
2549 | Explore performance of 3D MRCP with different compressed-sensing acceleration factors | |
Renwang Pu1, Jiazheng Wang2, Liangjie Lin2, Jingjun Wu1, Qingwei Song1, Nan Zhang1, and Ailian Liu1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, dalian, China, 2Philips Healthcare, Beijing, China, beijing, China |
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The present study aims to explore feasibility of three-dimensional(3D)breath-hold(BH)magnetic resonance cholangiopancreatography (MRCP) through acceleration of the combination of compressed sensing and sensitivity encoding(CS-SENSE),and choose an optimal acceleration factor. 3D-MRCP scans on healthy volunteers were carried out with different acceleration factors (conventional SENSE factor of 4, and CS-SENSE factors of18, 24, and 32).The CS-SENSE acceleration factor of 24 was recommended because of the favorable image quality and reasonable scan duration (15s). |
2550 | Hemodynamics Comparison Between Type2 Diabetes Mellitus Patients and Healthy Controls Using 4D Flow MRI | |
Jiachen Ji1, Di Wu2, Yunduo Li1, Shenghong Ju2, and Rui Li1 | ||
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2Zhong Da Hospital Southeast University, Nanjing, China |
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Type2 Diabetes Mellitus (T2DM) is a metabolic disease with high morbidity. 4D Flow MRI is an advanced technique which could provide visualization and quantification of blood flow. In the study, we identified the reproducibility of the processing and measuring procedure of abdominal 4D Flow data and discovered the significant hemodynamic differences in the affected vessels between T2DM patients and controls using 4D Flow MRI. The differences indicated the systematic hemodynamic changes caused by the disease and hinted 4D Flow MRI could offer more help in the evaluation and better understanding of the disease. |
2551 | Investigation of Supraclavicular Brown Adipose Tissue in Hyperthyroid Patients using Simultaneous PET-MR Imaging | |
Sanjay K Verma1, Lijuan Sun2, Suresh Anand Sadananthan3, Navin Michael3, Hui Jen Goh2, Govindharajulu Priya2, Melvin Khee-Shing Leow2,4, and S Sendhil Velan1 | ||
1Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore, Singapore, 2Clinical Nutrition Research Centre, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore, 3Singapore Institute of Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore, 4Department of Endocrinology, Tan Tock Seng Hospital, Singapore, Singapore |
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BAT dissipates heat energy during adaptive thermogenesis regulated by several complex neuronal mechanisms including thyroid hormones. Twelve hyperthyroid subjects, treated with an anti-thyroid drug intervention were investigated using simultaneous PET-MR imaging. A significant increase in body weight and decrease in resting metabolic rate after treatment were observed. MR fat fraction significantly increased after treatment, whereas there is no significant change in PET-SUV. MR is more sensitive to the thyroid hormone induced changes, and can be utilized to study the BAT activity. |
2552 | Evaluating a Community-Based Diet and Lifestyle Intervention For Improved Metabolic Health in India: A Pilot Randomized Controlled Trial (RCT) | |
Stephen Bawden1,2, K Manoj3, Elizabeth Simpson1, K Leena4, Moira Taylor1, Sally Hibbert5, Amrita Vijay1, Laura Miller1, Jane Grove1, Ana Valdes1, Penny Gowland2, Thrivikrama Shenoy4, and Guruprasad P Aithal1 | ||
1NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 3Metro Scan and Laboratory, Trivandrum, India, 4Population Health and Research Institute, Trivandrum, India, 5Centre for Research in the Behavioural Sciences, Nottingham University Business School, Nottingham, United Kingdom |
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The Indian population provides important cohorts for research into metabolic disorders due to the greater prevalence of NAFLD and diabetes, and the relatively low complexity of dietary intake. In this study 71 male participants with NAFLD were recruited from a cohort in India and randomized into two groups - a 16 week low glycaemic index dietary intervention arm and a control arm. 1H MRS was used to assess liver fat fractions, alongside other metabolic markers. Results show a trend towards reduced fat fractions in the diet arm only. |
2553 | Using 1H MRS to Investigate Hepatic Fat Fractions and Lipid Composition in NAFLD Patients with Type 2 Diabetes | |
Stephen Bawden1,2, Scott Willis3, Aron Sherry3, Penny Gowland2, James King3, and Guruprasad P Aithal1 | ||
1NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 3School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom |
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1H MRS offers unique insights into hepatic lipid composition. In this study, NAFLD patients with and without Type 2 Diabetes were scanned and hepatic lipid composition indices measured. Diabetic patients then underwent a randomized controlled trial to investigate the effectiveness of 6 weeks moderate exercise vs control. Lipid composition indices were similar to previous studies in obesity, and show no differences in diabetic v non-diabetic groups. The intervention also shows no change in hepatic fat fraction or lipid composition. |
2554 | Accumulation of saturated IMCL is associated with insulin resistance in both males and females | |
Laura Watson1, Katie Carr1, Claire Adams2, Jieniean Worsley1, Krishna K Chatterjee1,2, Leanne Hodson3, Chris Boesch4, Graham J Kemp5, David B Savage2, and Alison Sleigh1,2,6 | ||
1National Institute for Health Research Cambridge Clinical Research Facility, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 2Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom, 3Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Oxford, Oxford, United Kingdom, 4Department of Clinical Research and Radiology, AMSM, University Bern, Bern, Switzerland, 5Department of Musculoskeletal Biology, and MRC-Arthritis Research UK Centre for Integrated research into Musculoskeletal Ageing (CIMA), University of Liverpool, Liverpool, United Kingdom, 6Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom |
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In females the accumulation of saturated IMCL is more strongly associated with whole-body insulin resistance than IMCL concentration alone. Using a recently-validated 1H MRS approach we studied both the IMCL composition and concentration independent of composition in 30 control males, 41 age- and BMI-matched female controls and 16 female insulin resistant lipodystrophic subjects. We demonstrate that in both males and females markers reflecting the accumulation of saturated IMCL are more strongly associated with whole-body insulin sensitivity than IMCL concentration alone.
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2555 | Natural abundance 13C MRS based glycogen detection in Pompe disease: Test/retest characterization in a Gaa KO mouse model | |
Deanne Lister1, Prodromos Parasoglou2, Andrew Baik2, Katherine Cygnar2, Aris Economides2, Brendan Cook1, Sven Macholl1, and Patrick McConville1 | ||
1Molecular Imaging Center, Invicro, A Konica Minolta Company, La Jolla, CA, United States, 2Regeneron Pharmaceuticals, Tarrytown, NY, United States |
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Pompe disease is a debilitating condition that results in abnormally high tissue glycogen concentrations and is the subject of significant therapeutic focus by the pharma industry, including promising gene therapies. Non-invasive biomarkers that are specific and sensitive are sought after to address major gaps in early phase clinical trials. We characterized 13C MRS measurements of muscle glycogen concentration as potential biomarkers in Pompe disease, including test/re-test measurements and correlation with tissue biochemical measurements. Strong specificity and reasonable reproducibility was found, suggesting potential for 13C MRS to be used in Pompe disease patients. |
2556 | Assessment of cardiac and liver metabolite changes in diabetic and DIAPH1 knockout mice using 1H-MRS and chemical-shift encoded MRI | |
Rajiv G Menon1, Dimitri Martel1, Nosirudeen Quadri2, Charlotte Detremmerie2, Laura Frye2, Ann Marie Schmidt2, Ravichandran Ramasamy2, and Ravinder R Regatte1 | ||
1Center for Biomedical Imaging, Department of Radiology, New York University Langone Health, New York, NY, United States, 2Department of Biochemistry and Molecular Pharmacology, Department of Medicine, New York University Langone Health, New York, NY, United States |
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Diabetes Mellitus causes systemic changes in a number of metabolites in multiple organs. Previous studies have shown that RAGE and its cytoplasmic domain partner Diaph1 are key mediators of metabolic and functional changes in diabetic mice. The goal of this study was to use 1H-MRS and CSE-MRI to investigate the metabolite and water-fat fraction changes in the liver and heart in wild type (WT), WT-diabetic (WT-DM) mice, and DIAPH1 knockout diabetic (DIAPH1 KO-DM) mice. The metabolite levels and water-fat distribution in the three cohorts suggest that DIAPH1 KO-DM mice, despite being diabetic, experience a protective effect owing to DIAPH1 deletion. |
2557 | Metabolic imaging of brown adipose tissue with intense exercise intervention | |
Venkatesh Gopalan1, Kavita Kaur1, Jadegoud Yaligar1, Sanjay Kumar Verma1, Rengaraj Anantharaj1, Le Thi Thu Giang1, and S Sendhil Velan1 | ||
1Laboratory of Molecular Imaging, Singapore BioImaging Consortium,A*STAR Research Entities, Singapore, Singapore |
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There is a large interest in development of non-invasive methods for activation of brown adipose tissue (BAT) due to its potential to combat obesity. Exercise is a non-pharmacological strategy to combat obesity by increasing EE. In this study we have investigated exercise induced BAT activation, heat and RER in sedentary and exercise groups. Our results show that exercise activates the brown fat with reduction in fat fraction, increased heat and RER. UCP1 expression shows that reduction in “white” like adipocytes in exercise group. |
2558 | Estimation of the triglyceride fatty acid composition in human adipose tissue using multi-TE and SHORTIE STEAM: in vitro validation using GC-MS | |
Stefan Ruschke1, Dominik Weidlich1, Julius Honecker 2, Claudine Seeliger2, Josef Ecker3, Olga Prokopchuk4, Hans Hauner2, and Dimitrios C Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Else Kröner Fresenius Center for Nutritional Medicine, Technical University of Munich, Freising, Germany, 3ZIEL Institute for Food & Health, Research Group Lipid Metabolism, Technical University of Munich, Freising, Germany, 4Department of Surgery, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany |
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There is a growing interest in utilizing single-voxel $$$^1$$$H MR spectroscopy (MRS) for probing the triglyceride fatty acid composition by means of the number of double bounds (ndb) and number of methylene interrupted double bounds (nmidb) per triglyceride as well as the mean fatty acid carbon chain length (CL). The present study investigates the in vitro measurement agreement of fatty acid composition parameters between single-voxel multi-TE and short-TR multi-TI multi-TE (SHORTIE) STEAM spectroscopy and the gold standard gas chromatography-mass spectrometry (GC-MS) in human subcutaneous and visceral adipose tissue samples. |
2559 | Studying the effect of ambient temperatures on heat production of activated BAT in rats using magnetic resonance thermometry | |
Chuanli Cheng1, Qian Wan1, Yangzi Qiao1, Min Pan2, Changjun Tie1, Hairong Zheng1, Xin Liu1, and Chao Zou1 | ||
1Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences, Shenzhen, China, 2Shenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen, China |
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Cold exposure is the commonly used method in evaluating the brown adipose tissue (BAT) activation. In this study, the heat production capacity of BAT in rats housed at different ambient temperatures were evaluated using magnetic resonance thermometry after injecting norepinephrine (NE). The results show that the rats housed at lower ambient temperature (15°C) for 2 weeks have surprisingly lower temperature rise after NE injection, implying that long-term cold exposed rats have lower heat production capacity after drug activation. |
2560 | MR Elastography and PDFF as Imaging Biomarkers for Diabetic Kidney Disease: Correlating MR Measurements with Histopathology | |
Anshuman Panda1, Justin Yu1, Michael Schwartz1, Helen Looker2, Robert Nelson2, Kelly Smith1, Aidan McGirr1, Sophia Fasani1, Sukhdeep Singh1, Kristina Flicek1, and Alvin Silva1 | ||
1Mayo Clinic Arizona, Scottsdale, AZ, United States, 2National Institutes of Health, Bethesda, MD, United States |
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The purpose of this pilot study is to determine technical feasibility and correlate MR Elastography (MRE) and Proton Density Fat Fraction (PDFF) with gold standard assessments of glomerular function and histopathology markers. |
2561 | Assessments of Blood Flow Curve Characteristics of Type2 Diabetes Using 4D Flow MRI | |
Di Wu1, Jiachen Ji2, Shenghong Ju1, and Rui Li2 | ||
1Department of Radiology, Zhong Da Hospital,Southeast Univ., Nanjing, China, 2Department of Biomedical Engineering, Center for Biomedical Imaging Research,Tsinghua Univ., Beijing, China |
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The aim of this study is to identify the abdominal blood flow curve characteristics of patients with type2 diabetes using advanced 4D Flow MRI, compared with the healthy subjects. Left and right renal arteries as well as splenic artery were visualized and quantified by dedicated software. The characteristics of flow curves showed significant differences in the skewness and time to peak, which may indicate the variation in renal progression rates and become promising non-invasive biomarkers of the T2DM function assessment. |
2562 | Quantitative identification of endometrial carcinoma and endometrial polyp by T2 mapping | |
Shifeng Tian1,2, Ailian Liu2, Jiazheng Wang3, and Liangjie Lin3 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2the First Affiliated Hospital of Dalian Medical University, Dalian, China, 3Philips Healthcare, Beijing, China |
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T2 mapping is a novel MRI sequence that enables quantitative assessment of various diseases. However, its potential for diagnosis of endometrium diseases has not been explored,andit may also help differential diagnosisof endometrial carcinoma and endometrial polyp.In this study, the T2mapping was used for quantitative analyses of endometrial carcinoma and endometrial polyp. Results shown that endometrial carcinoma was associated with significant higher T2 values than endometrial polyp, therefore, it is feasible to use T2 mapping for discrimination of endometrial carcinoma and endometrial polyp. |
2563 | The combination use of APT and R2* enhances the differentiation of endometrial carcinoma and endometrial benign lesions | |
Xing Meng1, Ailian Liu 1, Shifeng Tian1, Zhiwei Shen2, Yaxin Niu1, Wan Dong1, Zhongping Zhang2, and Yishi Wang2 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Amide proton transfer (APT) and mDixon - Quant techniques have been applied in clinical work, but few studies have been conducted in female pelvic system. We discussed the value of APT combined with R2* in differentiating endometrial cancer from benign endometrial lesions. The AUC, sensitivity and specificity of APT combined R2* were 0.925, 88% and 100%, respectively. |
2564 | APT combined with IVIM in differential diagnosis of endometrial carcinoma and endometrial benign lesions | |
Xing Meng1, Ailian Liu 1, Shifeng Tian1, Zhiwei Shen2, Tianjing Zhang2, Yishi Wang2, Yaxin Niu1, and Wan Dong1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Amide proton transfer (APT) combined with intravoxel incoherent motion (IVIM) has been preliminarily applied in the diagnosis and differentiation of cervical squamous cell carcinoma, but has not been in the identification of endometrial lesions. We discussed the value of APT combined with IVIM in differentiating endometrial carcinoma from endometrial benign lesions. The AUC, sensitivity and specificity of APT combined IVIM were 0.979, 87.5% and 100%, respectively. |
2565 | Comparison of ultrasound and magnetic resonance imaging for the detection of fetal corpus callosum abnormalities | |
Cong Sun1, Yufan Chen1, Jinxia Zhu2, and Guangbin Wang1 | ||
1Shandong Medical Imaging Research Institute, Shandong University, Jinan, China, 2MR Collaboration, Healthcare Siemens Ltd., Beijing, China, Beijing, China |
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We compared ultrasound and magnetic resonance imaging (MRI) for the detection of fetal corpus callosum (CC) dysplasia in 375 fetuses at our Institute. The results showed that MRI was significantly better than ultrasound in being able to diagnose normal and abnormal fetal CC. Also, fetal MRI can be helpful in assessing associated abnormalities and enhancing prognostic consultations. |
2566 | Shape and Volume Analysis of the Fetal Brain Pre and Post Fetal Spina Bifida Surgery | |
Nada Mufti1,2,3, Michael Ebner2,3, Lucas Fidon2, Dimitra Flouri2,3, Riine Heinsalu2, Tom Vercauteren2,4, Sebastien Ourselin2, Luc De Catte4, Jan Deprest1,4, Anna L David1,4, Philippe Demaerel5, Andrew Melbourne2,3, and Michael Aertsen5 | ||
1Institute for Women's Health and Department of Medical Physics and Biomedical Engineering, University College London (UCL), London, United Kingdom, 2School of Biomedical Engineering and Imaging Sciences (BMEIS), King's College London, London, United Kingdom, 3Department of Medical Physics and Biomedical Engineering, University College London (UCL), London, United Kingdom, 4Department of Obstetrics and Gynaecology, University Hospitals Katholieke Universiteit (KU) Leuven, Leuven, Belgium, 5Department of Radiology, University Hospitals Katholieke Universiteit (KU) Leuven, Leuven, Belgium |
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Thorough assessment of the fetal central nervous system is required to select the most suitable candidates for fetal spina bifida surgery, and for post-operative monitoring to predict outcome. Children with myelomeningocele exhibit difficulties in cognitive performance, and motor skills1. This is related to the Chari II malformation and ventriculomegaly2,3. Our aim is to determine if MRI technology can quantify volume, surface area, and shape of cerebral structures before and after fetal spina bifida surgery. We explore if these parameters can be used as potential biomarkers for efficacy of fetal surgery by correlating with herniation level. |
2567 | Imaging the Fetal Spine using MRI: A Preliminary Exploration on Scanning Strategy | |
Xianyun Cai1, Guangbin Wang2, and Jinxia Zhu3 | ||
1radiology, Shandong Medical Imaging Research Institute, Shandong University, jinan, China, 2Shandong Medical Imaging Research Institute, Shandong University, jinan, China, 3MR Collaboration, Siemens Healthcare Ltd., beijing, China |
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This study explored the scanning strategy of fetal spine imaging using Magnetic Resonance Imaging (MRI) on 315 volunteer pregnant subjects. Whole-spine MRI was performed on fetuses using Susceptibility-Weighted Imaging (SWI) and True Fast Imaging with Steady-state Precession (TrueFISP) sequences. Images from both methods were acquired, and the diagnostic efficacy was compared. The SWI showed superior performance in visualizing osseous spinal anomalies, while TrueFISP better presented spinal canal contents lesions. Additionally, the MRI was preferred for the diagnosis of fetal spinal diseases to US. These mixed results suggest that a combination of both techniques is appropriate for fetal spine imaging. |
2568 | First in vivo demonstration of venous return in the human placenta | |
George Hutchinson1, Neele Dellschaft1, Simon Shah2, Nia Jones3, Lopa Leach4, and Penny Gowland1 | ||
1SPMIC, The University of Nottingham, Nottingham, United Kingdom, 2Kings College London, London, United Kingdom, 3Queens Medical Centre, The University of Nottingham, Nottingham, United Kingdom, 4School of Life Sciences, The University of Nottingham, Nottingham, United Kingdom |
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Little is known about maternal venous return from the placenta, despite the fact this good venous drainage is critical for adequate flow into, and percolation through the placenta. In this abstract we aim to identify and characterise venous return by identifying regions of blood flowing across the placental wall, and we find similar velocities of blood flow entering and leaving the placenta. |
2569 | Relationship between Placenta T2* and Gestational Age at 3.0 T | |
Feifei Qu1, Edgar Hernandez-Andrade2, Julio Marin-Concha3, Swati Mody4, Pavan Jella1, Roberto Romero3,5,6, and E. Mark Haacke1,7,8 | ||
1Department of Radiology, Wayne State University School of Medicine, Detroit, MI, United States, 2Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, United States, 3Perinatology Research Branch, NICHD/NIH/DHHS, Detroit, MI, United States, 4Department of Radiology, Children Hospital of Michgan, Detroit, MI, United States, 5Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, United States, 6Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, United States, 7Department of Biomedical Engineering, College of Engineering, Wayne State University, Detroit, MI, United States, 8The MRI Institute for Biomedical Research, Bingham Farms, MI, United States |
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Healthy growth and function of the placenta are important to support normal fetal development throughout the second and third trimester. T2* values affected by the tissue oxygenation could be a valuable tool to detect the placenta function. In this work, we collected T2* map for both health pregnancy and the pregnancy complicated by IUGR at different GA at 3.0 T and also investigated the relationship between them. |
2570 | Quantification of T2* relaxation times of human liver in the midtrimester fetus at 1.5T | |
Matthias R Muehler1, Ante Zhu1,2, Oliver Wieben1,2,3, Diego Hernando1,2,3,4, Dinesh Shah5, and Scott B. Reeder1,2,3,6,7 | ||
1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 3Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 4Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, United States, 5Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI, United States, 6Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States, 7Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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In preeclampsia, the erythropoetin level in the fetus has been reported to be moderately elevated and the number of erythroid cells in the fetal liver reduced. Assessment of fetal liver health and function over gestation, including hepatic hematopoiesis, is of great interest. T2* relaxometry is an emerging quantitative biomarker of liver iron content. In this study, we assessed fetal liver T2* in the midtrimester pregnancy. A fetal liver T2* of 22ms and 25ms at 14 and 20 weeks of gestation, respectively, was observed at 1.5T. T2* values are significantly correlated with gestational age but not with obesity or mothers’ age. |
2571 | Upright pelvimetry using MRI for the prediction of birth associated cephalo-pelvic disproportion following induction of labour. | |
Hannah Grace Williams1, Andrew Cooper1, Lesley Hodgen2, Catriona Hussain2, Nia Jones3, and Penny Gowland1 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Queens Medical Centre, NUH NHS Trust, Nottingham, United Kingdom, 3Faculty of Medicine and Health, University of Nottingham, Nottingham, United Kingdom |
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Dystocia, difficult birth due to either a big baby, small maternal pelvis, or malposition of the presenting part is an important obstetric problem and a major cause of emergency caesarean section and birth injury. The risk of caesarean section is 30% for first time mothers who have had their labour induced. We have developed an MRI protocol to assess fetal size and maternal pelvic measurements in supine and upright positions to determine whether they can be used as a predictor of a woman's risk of emergency C-section after the induction of labour. |
2572 | Longitudinal Study of T2*-based BOLD Placental MRI in Obese Pregnant Human Subjects | |
Ante Zhu1,2, Jitka Starekova2, Tom Batan3, Kevin Johnson2,4, Scott B. Reeder1,2,4,5,6, Oliver Wieben1,2,4, Dinesh Shah7, and Diego Hernando1,2,4,8 | ||
1Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Integrative Biology, University of Wisconsin-Madison, Madison, WI, United States, 4Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 5Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States, 6Medicine, University of Wisconsin-Madison, Madison, WI, United States, 7Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI, United States, 8Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, United States |
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Maternal obesity is associated with increased risk of gestational hypertension, preeclampsia and fetal growth restriction, complications related to reduced uteroplacental blood flow and placental vascularity malformation. T2* measurements of blood oxygen level-dependent effects have promise for assessing placental function. Here, we measured placental T2* in non-obese and obese pregnant women at 14 and 20 weeks of gestation. Our study showed that the range of placental T2* is similar between the two populations at both gestation ages. Trends of decreased and increased placental T2* with gestation were observed in different subjects, suggesting longitudinal changes in placental T2* may vary among subjects. |
2573 | MR Assessment of Blood Flow Rate in Umbilical Vein and Its Correlation with Ultrasound | |
Pei-Hsin Wu1, Michael C. Langham1, Ana E. Rodríguez-Soto1, Eileen Hwuang2, Felix W. Wehrli1, and Nadav Schwartz3 | ||
1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 3Maternal Child Health Research Center, Perelman School of Medicine, Philadelphia, PA, United States |
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Intrauterine growth restriction (IUGR) and preeclampsia (PEC) have been associated with increased perinatal morbidity and mortality. Umbilical vein (UV) blood flow reflects the efficiency of fetoplacental circulation. The hypothesis that UV blood flow rate (BFR) is lower in abnormal pregnancies (e.g. IUGR, PEC) was investigated. The results show 1) a high correlation in UV BFR between MR and ultrasound confirms the utility of PC-MRI, and 2) a lower MR-based UV BFR, found in the adverse composite birth outcome group as compared to normal subjects, suggests that UV flow may be a significant clinical indicator of adverse pregnancy outcomes. |
2574 | Single-shot T2-weighted Fetal MRI with variable flip angles, full k-space sampling, and nonlinear inversion: towards improved SAR and sharpness | |
Yamin Arefeen1, Borjan Gagoski2,3, Esra Turk2,3, Ellen Grant2,3, Jacob White1, Kawin Setsompop3,4,5, and Elfar Adalsteinsson1,5,6 | ||
1Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 2Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 5Harvard-MIT Health Sciences and Technology, Cambridge, MA, United States, 6Institute for Medical Engineering and Science, Cambridge, MA, United States |
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Fetal MRI utilizes Half-Fourier-acquisition-single-shot-turbo-spin-echo (HASTE) for rapid T2-weighted imaging to mitigate motion. However, T2-decay and partial fourier induce blurring, while refocusing trains extend total acquisition time due to specific absorption rate (SAR) constraints. Variable flip angles (VFA) with full Fourier acquisitions have been shown to improve image quality, maintain contrast, and accelerate acquisition through SAR reduction. We combine nonlinear reconstruction, VFA, and full Fourier undersampling to improve sharpness and reduce SAR while maintaining similar contrast to HASTE. Simulation and phantom experiments illustrate improved sharpness. Preliminary, in-vivo fetal results demonstrate improved sharpness and SAR with slight tradeoffs in contrast and SNR. |
2575 | Comparative analysis of the value of APT and different diffusion models in evaluating the histological features of cervical squamous carcinoma | |
Mengyan Hou1, Dongming Han1, and Kaiyu Wang2 | ||
1The First Affiliated Hospital,Xinxiang Medical, Xinxiang, China, 2GE Healthcare, MR Research China, Beijing, China |
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This study aims to compare the performances of APT, DWI, and DKI in estimating histological grading of cervical squamous carcinoma. We find that the parameter MTRasym of APT and the parameter MK and MD of DKI are helpful for the differentiation diagnosis of cervical squamous cell carcinoma. Compared with DWI and DKI, APT is more effective in identifying the histological grades of cervical squamous carcinoma, and the combination of APT and DWI parameters can greatly improve diagnostic effect. |
2576 | Quantitative evaluation of ileal crohn’s disease with intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) | |
Peiwen Sun1, Junheng Li1, Meiying Zeng1, Shuai Wang1, Diru Zhu1, Jilei Zhang2, and Binghui Zhao*1 | ||
1Department of Radiology, Shanghai Tenth People’s Hospital of Tongji University, School of Medicine, Shanghai, China, 2Clinical Science, Philips Healthcare, Shanghai, China |
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Crohn’s disease (CD) is a chronic inflammatory bowel disorder that can occur in any section of the gastrointestinal tract, commonly affecting the small intestine, especially the ileum. Colonoscopy used as the gold standard for assessing disease activity, but its invasiveness limits the use. We aimed to assess inflammatory activity of CD patients by using Intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI), and found IVIM-DWI may serve as a promising method for noninvasive detecting and monitoring the activity of CD. |
2577 | MRE for the detection of inflammatory diseases of the juvenile Crohn’s disease: quantifying the inflammatory activity. | |
zheng xian ying1 and Zhang Zhong shuai2 | ||
1First affiliated Hospital of Fujian Medical University, fuzhou, China, 2MR , Siemens Healthcare, Shanghai, China |
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This study aimed to demonstrate that Magnetic resonance enterography global score (MEGS) shows equally values in pediatric crohn's patients and had comparable diagnostic efficacy comparing with other MRE scores. 52 juvenile Crohn patients were included, and MEGS, SES-CD and eAIS of the terminal ileum were calculated. The results show that for both endoscopically defined and histologically defined active inflammation and ulcerative lesions MEGS have high diagnostic accuracy, are consisting with other studies. The results provided in the current study suggest that MR may be considered as an alternative to endoscopy. |
2578 | Correlation between MR DCE quantitative parameters and E-cadherin expression in gastric cancer | |
Liangliang Yan1 and Jinrong Qu1 | ||
1Radiology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China |
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Multiple MR quantitative parameters are associated with E-cadherin expression, and Ktrans 75% is the optimal parameter to evaluate the invasion of gastric cancer. In addition, our study also determine the specific boundary range of Ktrans 75%, Ktrans mean, and Ve mean to predict whether E-cadherin expression has decreased or absented, which provides a new method to early evaluate gastric cancer invasion. |
2579 | MRI Changes in Visceral Fat in Crohn’s Disease | |
Iyad Naim1,2, Gordon Moran2, Penny Gowland1,2, Caroline Hoad1,2, E Simpson 2,3, and Jordan McGing2 | ||
1Sir Peter Mansfield Imaging Centre, School of Physics, University of Nottingham, Nottingham, United Kingdom, 2Nottingham Digestive Disease Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom, 3Metabolic and Molecular Physiology, School of Life Sciences, University of Nottingham, Queen's Medical Centre Campus, Nottingham, United Kingdom |
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Crohn’s disease (CD) is an inflammatory bowel disease which effects 150k people in the UK alone. Visceral fat hypertrophy is a characteristic radiological finding in CD.To date radiologists just describe it but are not able to provide more objective data regarding visceral fat volume. In this retrospective study we used 2-point mDixon fat Images along with image processing techniques to study visceral fat properties in CD patients compared with healthy volunteers. The data demonstrated a tendency of CD patients to have a higher ratio of visceral fat and more volume of intestines fully surrounded by fat compared with healthy volunteers. |
2580 | Hyoscine butylbromide for bowel movement reduction in mouse abdominal MRI | |
Carlos Bilreiro1, Francisca F. Fernandes1, Rui V. Simões1, Celso Matos1, and Noam Shemesh1 | ||
1Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal |
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Bowel movement is a source of motion artifacts in mouse abdominal MRI. This work aimed to evaluate fasting and hyoscine butilbromide (Buscopan®) for its reduction. Thirteen mice were imaged in a 9.4T MRI scanner with a FLASH sequence for 90 minutes (~19s temporal resolution): 6 were injected with a Buscopan® bolus, 4 with a bolus and constant infusion, and 3 were food deprived. A single bolus of Buscopan® was effective for bowel movement reduction in mice, for up to 1h, whereas other methods were not effective. These data favor the use of Buscopan® for abdominal MRI in the mouse. |
2581 | Application of intravoxel incoherent motion in preoperative assessment of clinicopathological features of Esophageal Squamous Cell Carcinoma | |
TAO SONG1 | ||
1radiology, Henan Cancer Hospital, Zhengzhou, China |
||
Preoperative assessment of intravoxel incoherent motion in clinicopathologic features of esophageal squamous cell carcinoma. the uploaded file includes objective,method,results,conclusion,references, acknowledgements and figure. |
2582 | Imaging of the intestinal lymphatics following oral consumption of lipids using MRI. | |
Hannah Grace Williams1, Adelaide Jewell2, Caroline Hoad1,3, Luca Marciani3,4, Snow Stolnik-Trenkic2, Pavel Gershkovich2, and Penny Gowland1 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2School of Pharmacy, University of Nottingham, Nottingham, United Kingdom, 3NIHR Nottingham Biomedical Research Centre, Nottingham University Hospital and University of Nottingham, Nottingham, United Kingdom, 4Nottingham Digestive Disease Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom |
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It has been shown previously that lipophilic (lipid soluble) drugs administered in lipid-based formulations (or using lipophilic prodrugs) can be delivered in very high concentrations to the intestinal lymphatics. In order for the intestinal lymphatic targeting to be clinically relevant, the response of intestinal lymph following oral administration of lipids needs to be investigated in humans. This is the first study we are aware of using MRI to study changes in lymph nodes following the consumption of a fatty meal. With optimisation this method could provide a novel marker of which nodes could be target for treatment using lipophilic drugs. |
2583 | Diffusion Weighted whole body Imaging with Background body signal suppression with three b value for tumorlike lesion detection in abdomen | |
bingbing gao1, yanwei miao1, ailian liu1, jiazheng wang2, zhiwei shen2, jianqing sun2, qingwei song1, and nan zhang1 | ||
1first Affiliated hospital of Dalian medical university, Dalian, China, 2Philips Healthcare, Beijing, China, Beijing, China |
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The purpose of this study was to evaluate image quality of diffusion weighted whole body Imaging with background body signal suppression (DWIBS) sequence using different b values (b=0,800 and b=0,800,1500) for predicting tumor or tumorlike lesions in abdomen. The results showed index ADC image with b=0,800 depicted more lesions than b=0,1500, including false positive lesions. The ADC value of b=0,800, 1500 is less than that of b=0, 800, indicating tumor’s precise ADC value is lower than we thought before. |
2584 | Levator hiatus width measurement and its correlation with pelvic floor dysfunction | |
Anugayathri Jawahar1, Perla Subbaiah 2, and Vipul R Sheth 1 | ||
1Body MRI, Stanford University, PALO ALTO, CA, United States, 2Mathematics, Oakland University, Rochester, MI, United States |
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Pelvic floor dysfunction affects about half of women over 50 years of age, causing significant morbidity. MR defecography compliments the clinical examination in the evaluation of pelvic floor dysfunction. We investigated if the measurement of levator hiatus width is a useful and reliable supplement or alternative measurement in predicting pelvic floor dysfunction. We retrospectively reviewed MR defecography examinations and recalculated the levator hiatus width and the anorectal angle with 2 blinded readers. We found that the levator hiatus width had a statistically significant correlation with pelvic organ prolapse and can add to the confidence in reporting H-line and M-line abnormalities. |
2585 | Multi-parameter assessment of Perianal Crohn’s disease using quantitative MRI: A Multi-centre study. | |
Ali Alyami1,2,3, Caroline Hoad 2,4, Ross Little5, Konstantinos Argyriou4, Uday Bannur6, Khalid Latief6, Christopher Clarke6, Phillip Lung7, Michael Berks5, Susan Cheung5, James PB O'Connor5,8, Geoff JM Parker9,10, Penny Gowland2, and Gordon W. Moran1,4 | ||
1Nottingham Digestive Diseases Centre, University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 3Faculty of Applied Medical Sciences, Diagnostic Radiology, Jazan University, Jazan, Saudi Arabia, 4NIHR Nottingham Biomedical Research Centre at Nottingham University Hospitals NHS Trust and University of Nottingham, University of Nottingham, Nottingham, United Kingdom, 5Quantitative Biomedical Imaging Laboratory, Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom, 6Nottingham University Hospitals NHS Trust, Radiology, Nottingham, United Kingdom, 7St Mark's Hospital and London North West Healthcare NHS Trust, Radiology, London, United Kingdom, 8Radiotherapy Related Research, Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom, 9Bioxydyn Limited, Manchester, United Kingdom, 10Centre for Medical Image Computing, University College London, London, United Kingdom |
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Perianal Crohn’s disease (pCD) is a potential complication of CD patients. Disease monitoring is imprecise due to unreliable clinical scores and subjective radiological reporting. Quantitative MRI sequences, e.g. diffusion-weighted image (DWI), dynamic contrast enhancement (DCE), magnetization transfer (MT) and T2 relaxometry offer opportunities to improve diagnostic capability. This study aimed to attain pilot data regarding the diagnostic utility of these sequences before and after 12 weeks of biological treatment in active pCD. Significant negative correlation was found between MTR and T2, MTR and DCE parameter ktrans and MTR with apparent diffusion coefficient, reflecting competing disease effects of inflammation and fibrosis. |
2586 | Relaxometry and magnetisation transfer to quantify the small bowel wall in healthy volunteers | |
Ali Saleh Alyami1,2,3, Hannah Grace Williams2, Konstantinos Argyriou4, Penny Gowland2,4, Gordon W. Moran1,4, and Caroline Hoad 2,4 | ||
1Nottingham Digestive Diseases Centre, University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 3Faculty of Applied Medical Sciences, Diagnostic Radiology, Jazan University, Jazan, Saudi Arabia, 4NIHR Nottingham Biomedical Research Centre at Nottingham University Hospitals NHS Trust and University of Nottingham, University of Nottingham, Nottingham, United Kingdom |
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Quantitative MRI datasets based on relaxometry and Magnetisation Transfer (MT) sequences could be used as potential biomarkers of disease activity in Inflammatory Bowel Disease. The aim of the study was to measure the repeatability of T2, T1 and MT small bowel measurements following bowel preparation and administration of an anti-spasmodic agent. Inter-observer variations in these measurements were also assessed. The quantitative MRI methods examined showed excellent repeatability for T2 and good repeatability for T1 parameters for both repeatability between visits and reproducibility of results between observers from data of a small group of healthy subjects. |
2587 | The application value of ZOOMit DWI in the diagnosis of surgical plan for patients with gastric sinus cancer with obstructive symptoms | |
Yubo Liu1, Ximing Wang1, Xianshun Yuan1, Haiyan Jing2, Xiankui Cheng2, Liang Shang3, Jinglei Liu3, Mengxiao Liu4, and Xiang Feng5 | ||
1Department of Radiology, Shandong Provincial Hospital, Jinan, China, 2Department of Pathology, Shandong Provincial Hospital, Jinan, China, 3Department of gastrointestinal surgery, Shandong Provincial Hospital, Jinan, China, 4MR Scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd, shanghai, China, 5MR Scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd, Beijing, China |
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For gastric antrum cancer with obstructive symptoms, CT has been a common method for preoperative diagnosis. But because it shows poor tumor boundaries, it does not give clear guidance on treatment options. ZOOMit DWI has higher image quality and smaller deformations make tumor boundaries better, so it can provide better preoperative guidance. |
2588 | Serial Imaging of Splenomegaly in the Sleeping Sickness Infected Mouse | |
Samantha Paterson1, William Holmes1, Linda Carberry1, and Jean Rodgers1 | ||
1University of Glasgow, Glasgow, United Kingdom |
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Splenomegaly is a symptom of the African parasitic disease, sleeping sickness. This study is the first research to demonstrate splenomegaly non-invasively in a murine model of sleeping sickness. This researched showed an increase in the size of the spleen of over 20 times the healthy volume during the late stage of the disease whilst also demonstrating a change in the rate of increase during different stages of the disease. Overall, new information about splenomegaly in sleeping sickness has been demonstrated for the first time. |
2589 | Quantitative sodium imaging of the abdomen | |
Arnold Julian Vinoj Benjamin1, Mary A McClean1, Joshua D Kaggie1, Lucian Beer1, Frank Riemer2, Rolf F Schulte3, Titus Lanz4, Martin J Graves5, and Ferdia A Gallagher1 | ||
1Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 2Department of Radiology, Haukeland University Hospital, Bergen, Norway, 3GE Global Research, Munich, Germany, 4RAPID Biomedical GmbH, Rimpar, Germany, 5Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom |
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In this study, we report sodium T2* values and total sodium concentration (TSC) values in healthy volunteers in the abdomen using a large field-of-view (FOV) birdcage sodium body coil that provides a uniform excitation over the whole abdomen. We explore whether sodium will be more specific to the BOLD effect, as sodium is a major component of blood and oxygenation of this blood will affect the sodium T2* values directly. |
2590 | MRI Application for Autologous Fat Transplantation Assessment | |
Xueyin Liao1, Yu Chen2, Xiaoqi Wang3, Mingyong Yang1, and Huadan Xue2 | ||
1Plastic Surgery Hospital, Chinese Academy of Medical Sciences, Peking Union Medical Collage, Beijing, China, 2Department of Radiology, Peking Union Medical College Hospital, Beijing, China, 3Philips HealthCare, Beijing, China |
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We have investigated the clinical feasibility of applying MRI to predict the fat survival rate of autologous fat transplantation on faces 7 days after surgery. High resolution T1W and T2W fat-only images, T2 mapping, IVIM diffusion, and spectroscopy methods were implemented. The morphological images provided extradentary value in visualizing transplanted fat in vivo, the biomarker T2 mapping identified edema, IVIM measured perfusion and localized rebuilding vascularization, and MRS quantified lactate content for predicting post-op fat survival rate. The non-contrast MRI technologies proved values in imaging for autologous fat transplantation surgery. |
2591 | Detection of Active Brown Adipose Tissue Using Quantitative Susceptibility Mapping (QSM) | |
Cuiling Zhu1, Yihao Guo2, Wenbin Si2, Yingjie Mei3, Qiaoling Zhong1, Lijie Zhong1, Yanqiu Feng2, and Xiaodong Zhang1 | ||
1Department of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China, 2School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 3Philips Healthcare, Guangzhou, China |
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Activated and inactivated brown adipose tissue showed some differences in function, protein expression and intracellular components, which remained non-invasive MRI testing possible. Despite its strong relevance with iron contents, QSM detect BAT in large lipid depots remains a major challenge. This work proposes a method that use values of QSM and (fat fraction) FF to quantitatively distinguish the two groups in brown adipose tissue depot in vivo, histological validation is then performed. Preliminary results are broadly in line with expectation. |
2592 | Prediction of contrast-enhanced liver MRI with CycleGAN | |
Yajing Zhang1 and Hanlin Fu1 | ||
1Philips Healthcare, Suzhou, China |
||
Contrast-enhanced MR scans have been commonly used in the diagnosis of liver lesions. However, it has limited use to the patients allergic to the contrast agent. Recently, there are increasing concerns about the safety of the use of Gadolinium-based contrast agents. In this study, we employed a cycle generative adversarial network strategy to test the feasibility of predicting the contrast enhancement images in liver MRI. |
2593 | Deep Learning for Liver Segmentation and Quantification of Obese Patients | |
Philipp Madörin1, Xeni Deligianni1,2, Francesco Santini1,2, Simon Andermatt2, Philippe Claude Cattin2, Anne Christin Meyer-Gerspach3,4, Bettina Karin Wölnerhanssen3,4, Oliver Bieri1,2, and Orso Pusterla1,2,5 | ||
1Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland, 2Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 3St. Clara Research Ltd, St. Clara Hospital, Basel, Switzerland, 4University of Basel, Basel, Switzerland, 5Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland |
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Obesity is one of the greatest health risks and strongly related to fatty liver disease. Magnetic resonance imaging enables non-invasive measurement of fat-water distribution in tissue. To provide an automated evaluation of the liver volume and fat percentage, we trained a Multi-Dimensional Gated Recurrent Units network to segment multi-contrast data. The neural network was trained with a limited number of data comprising 52, 20, 10 datasets and was evaluated for liver volume and fat percentage quantification. |
2594 | Automatic Bone Segmentation on Whole body Diffusion-Weighted MRI using Deep Learning | |
Asha K Kumaraswamy1,2, Punith B Venkategowda1, Chandrashekar M. Patil2, and Robert Grimm3 | ||
1Siemens Healthcare Private Limited, Bengaluru, India, 2Vidyavardhaka College of Engineering, Mysuru, India, 3MR Application Predevelopment, Siemens Healthcare, Erlangen, Germany |
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Whole body diffusion-weighted MR imaging is a promising technique for the evaluation of bone metastases e.g. in prostate and breast cancer. Segmenting and quantifying tumor burden and treatment response based on DWI and corresponding ADC has been proposed previously. However, treatment effects may influence the actual segmentation and signal intensities. Here, a more reproducible approach would be preferred for segmenting and analyzing consistent regions of interest also in follow-up examinations. We present a deep learning method for automatic bone segmentation, based on T1-weighted imaging or DWI. Feasibility of the new approach is shown, resulting in significantly reduction in computation time. |
2595 | Unsupervised assessment of abdominal adipose tissue from whole body Dixon MRI | |
Ying Xia1, Pierrick Bourgeat1, Samantha Burnham1, and Jurgen Fripp1 | ||
1The Australian eHealth Research Centre, CSIRO Health and Biosecurity, Brisbane, Australia |
||
Quantitative assessment of visceral adipose tissue (VAT) is important in studies of obesity and metabolic abnormalities. The study developed and evaluated an unsupervised method for abdominal adipose tissue quantification in a large sample from the general population. The results revealed strong correlations with reference measures using dual energy X-ray and MR based methods with human intervention. We also demonstrate the relationship between body mass index (BMI) and adipose tissue compartments. As expected, BMI did not fully reflect fat accumulation in VAT. With increasing BMI, males were more likely to have higher VAT accumulation than females. |
2596 | Quantitative Susceptibility Mapping from Deep-Learning Based Reconstruction of Undersampled Gradient-Recalled Echo Data | |
Ramin Jafari1,2, Pascal Spincemaille2, Thanh D. Nguyen2, Junghun Cho1,2, Martin R. Prince2, and Yi Wang1,2 | ||
1Cornell University, Ithaca, NY, United States, 2Weill Cornell Medicine, New York, NY, United States |
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A single breath-hold 3D GRE acquisition with tens of seconds is used to acquire data for water/fat separation and QSM generation in liver. However, in elderly and paediatric patients long breath-holds are not feasible. Compressed sensing along with Deep Learning is an alternative to shorten the scan time and perform reconstruction on undersampled data. In this work we compare how undersampling GRE data at different rates and use of Deep Learning for reconstruction will affect the water/fat separation and QSM results. |
2597 | CT-based Synthetic pelvic T1-weighted MR image generation using a deep convolutional neural network (CNN) | |
Reza Kalantar1, Jessica M Winfield1,2, Christina Messiou1,3, Dow-Mu Koh1,3, and Matthew D Blackledge1 | ||
1Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, 2The Royal Marsden Hospital, London, United Kingdom, 3Department of Radiology, The Royal Marsden Hospital, London, United Kingdom |
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The MR-Linac exploits excellent soft-tissue contrast of MRI images with the option of daily re-planning for irradiation of pelvic tumours. However, this requires significant clinician interaction as contours need manual redefining for each radiotherapy fraction. Recently, machine learning-based segmentation approaches are being developed to automate this process. One major limitation of this approach is the lack of available fully-annotated MRI data for training. In this study, a deep learning model was developed and trained on CT/MR registered images of 21 patient datasets, generating synthetic T1-weighted MR images from input CT data, which could be useful towards disease segmentation on MRI. |
2598 | Deep learning based multi-organ detection: a step closer to liver T1 map quality assurance | |
Charles E Hill1,2, Ferenc Emil Mozes2, Liam AJ Young2, Luca Biasiolli2, Matthew D Robson3, and Vicente Grau1 | ||
1Engineering Science, University of Oxford, Oxford, United Kingdom, 2Oxford Centre for Magnetic Resonance Research (OCMR), University of Oxford, Oxford, United Kingdom, 3Perspectum Diagnostics LTD., Oxford, United Kingdom |
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Quantitative Liver T1 mapping techniques are becoming more prevalent in the clinic, for the diagnosis and prognosis of various liver diseases. However, time pressure and technique complexity can often lead to incorrect acquisition due to sub-optimal slice location. We implement a faster Region Proposal CNN for the detection of multiple organs in the body, and report back the findings promptly via a local user interface, to inform the radiographers if they need to re-acquire. We show that this network has a high localisation accuracy and high speed, such that it will be applicable in the clinical environment. |
2599 | Characterization of NAFLD disease evolution with multiparametric MRI/MRE and multi-state Hidden Markov Model | |
Jingbiao Chen1,2, Yunyi Kang3, Feng Ju3, Jiahui Li1, Jie Chen1, Xin Lu1, Richard L Ehman1, Vijay H Shah2, and Meng Yin1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States, 3School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, United States |
||
Non-invasively diagnosing non-alcoholic fatty liver disease (NAFLD) and predicting disease prognosis in individual patients are two main unmet clinical needs. There are very few longitudinal studies that evaluate imaging, biochemical, and histopathological variables that predict disease progression of NAFLD. This study established a multi-state Hidden Markov model (HMM) of NAFLD evolution in an animal model with three imaging biomarkers: MRI derived proton density fat fraction (PDFF) and MR elastography (MRE) assessed liver stiffness (LS) and loss modulus (LM). Results have shown that a 3-state HMM can well characterize the natural history of NAFLD, and predict disease progression or regression. |
2600 | Accelerated Whole-body Imaging with Uniform Fat-Suppression and Deep-Learning Reconstruction | |
Alan B McMillan1, Lloyd Estowski2, Ty A Cashen2, R. Marc Lebel3, Xinzeng Wang4, Ersin Bayram4, and Ali Pirasteh1 | ||
1Radiology, University of Wisconsin Madison, Madison, WI, United States, 2Global MR Applications & Workflow, GE Healthcare, Waukesha, WI, United States, 3Global MR Applications & Workflow, GE Healthcare, Calgary, AB, Canada, 4Global MR Applications & Workflow, GE Healthcare, Houston, TX, United States |
||
We present a single-shot fast-spin-echo pulse-sequence (SSFSE) with short-tau inversion recovery (STIR) and deep-learning (DL) image reconstruction that provides whole-body images in less than 3 minutes, achieving uniform fat suppression, detailed delineation of the anatomy, and favorable signal-to-noise (SNR). This was achieved through the reduction of echo-train-length by increasing the acceleration to a factor of 4x, hence substantially improving image quality through blurring reduction in the phase encoding direction, and ameliorating the subsequent SNR reductions by utilization of a DL reconstruction algorithm. This whole-body MRI technique can be used in the setting of various pathologies for both pediatrics and adults. |
2601 | Deep convolution neural network exploration for super resolution of abdominal 3D mDixon scans | |
Johannes M Peeters1 and Marcel Breeuwer1,2 | ||
1MR Clinical Science, Philips, Best, Netherlands, 2Biomedical Engineering – Medical Image Analysis, Eindhoven University of Technology, Eindhoven, Netherlands |
||
Breath holding is often applied for abdominal imaging to avoid motion artifacts. However, breath holding limits the acquisition time and thus the resolution of the images. We propose to use 3D super resolution deep convolutional neural networks (CNN) to enhance the sharpness of 3D mDixon MRI. We found that sharpness increases with increasing number of network layers, but levels off already at 6 layers. |
2602 | Retrospective Motion Artifact Reduction with CNN (MARC) combined with model-based artifact simulation for T2WI of the liver | |
Motohide Kawamura1, Daiki Tamada1, Tetsuya Wakayama2, Hiroshi Onishi1, and Utaroh Motosugi1 | ||
1Department of Radiology, University of Yamanashi, Yamanashi, Japan, 2MR Collaboration and Development, GE Healthcare, Tokyo, Japan |
||
Motion artifact is a problem in abdominal imaging. Respiratory-triggering techniques are commonly used to suppress the motion artifact. However, it is not always perfect in clinical practice. Deep learning-based motion correction is an attractive solution. However, it requires pairs of images with and without motion artifacts, which is difficult in body MRI. Here, we propose a deep learning-based method to remove motion artifact using a simulation of artifacts based on a simple model for respiratory gating failure. Preliminary results showed that the proposed method can remove motion artifacts in respiratory-triggered FSE-T2WI of the liver, which were corrupted by irregular breathing. |
2603 | Deep learning based image reconstruction for T2-weighted rectal cancer imaging | |
Ken-Pin Hwang1, Xinzeng Wang2, Randy D Ernst3, Sarah M Palmquist3, Marc Lebel2, Gaiane M Rauch3, George J Chang4, Craig Messick4, Melissa W Taggart5, Ersin Bayram2, Jingfei Ma1, and Harmeet Kaur3 | ||
1Department of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States, 2MR Applications and Workflow, GE Healthcare, Waukesha, WI, United States, 3Department of Radiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States, 4Department of Surgical Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States, 5Department of Pathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States |
||
Proper evaluation of rectal cancer with MR imaging requires high resolution imaging of the rectal wall. The image quality demands are difficult to achieve due to the increasing risk of peristaltic motion with longer scan times. In this work, we apply a novel deep learning based reconstruction (DL recon) method to an accelerated sequence using reduced averages and increased acceleration. Radiologist scores indicate that the combined method provides superior SNR and definition with less motion degradation when compared to the routine sequence with conventional reconstruction. Thus improved motion robustness can be gained from applying DL Recon to an accelerated sequence. |
2604 | The feasibility of model-free machine learning with variable features of MRI images on the prostate cancer application | |
Feng-Mao Chiu1,2, Ting Chun Lin1, Queenie Chan3, Cheng-Chun Li4, Jen-I Hwang4, and You Yin Chen1 | ||
1Department of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan, 2Health system, Philips, Taipei, Taiwan, 3Healthcare, Philips, Hong Kong, China, 4Department of Medical Imaging, Tungs’ Taichung Metroharbor Hospital, Taichung, Taiwan |
||
Several advanced post-processing methods were used to assess prostate cancer, including diffusion model of IVIM, T2 mapping with multi-echo turbo spin echo , and permeability analysis with Tofts model. We found that it is not easy to overcome the fitting error, and it is not reasonable to directly integrate IVIM, T2 mapping and permeability together as well. The aim of this study is to evaluate the feasibility of the prostate cancer screening with model-free machine leaning , and to test different combinations of input data, including multiple b-value diffusion weighted imaging (DWI), multi-echo T2w TSE, and dynamic contrast enhanced (DCE) images. |
2605 | Correlation between CT based Radiomics Features and Mesenteric Vein Resection Margin in Patients with the Pancreatic Head Cancer | |
Yun Bian1, Chao Ma1, Xu Fang1, Jin Li1, Kai Cao1, Li Wang1, Jin Gang2, Jianping Lu1, and Xiangxue Wang3 | ||
1Radiology, Changhai hospital, Shanghai, China, 2Pancreatic Surgery, Changhai hospital, Shanghai, China, 3Shanghai Institute for Advanced Communication and Data Science, School of Computer Engineering and Science, Shanghai University, Shanghai, China |
||
A striking number of patients are diagnosed with resectable pancreatic cancer (PC) or borderline resectable PC by computed tomography (CT) but end up with positive (R1) resection at surgery according to the National Comprehensive Cancer Network (NCCN) criteria. If the pathological resection margin can be accurately and noninvasively predicted prior to surgery, an appropriate treatment plan can be developed and patients with PC can avoid futile surgery. Hence, we sought to accurately identify the relationship between the arterial radiomics score (rad-score) and pathologic superior mesenteric vein (SMV) resection margin in patients with pancreatic head cancer and to evaluate the diagnostic performance of the rad-score in differentiating between negative (R0) and R1 resection. |
2606 | Compressed Sensing and Parallel Imaging on 3D Uterus Imaging | |
Yaxin Niu1, Ailian Liu1, Shifeng Tian1, Lihua Chen1, Qingwei Song1, Jiazheng Wang2, and Zhiwei Shen2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Da Lian, China, 2Philips Healthcare, Beijing, China, Beijing, China |
||
Acquisition time is one of the main limiting factors in MRI. Compressed sensing is an emerging technology proven to effectively shorten scan time in several clinical scenarios. Here we propose to apply a combination of compressed sensing and sensitivity encoding in 3D uterus imaging that yields 1x1x2 mm3 resolution and uncompromised image quality with 5-fold acquisition acceleration. |
2607 | Effect of Continuous table movement (CTM) on fat saturation quality in T2 weighted imaging | |
Hina Arif1, Stephane Chartier 2, Tanmay Tiwari3, Bobby Kalb2, and Manoj Saranathan2 | ||
1Medical Imaging, University of Arizona, Tucson, AZ, United States, 2University of Arizona, Tucson, AZ, United States, 3University of Arziona, TUCSON, AZ, United States |
||
Uniform fat suppression is critical for optimal MR assessment of lesions in the abdomen and pelvis. Recent advances using SPAIR sequencing have improved fat suppression and increased the signal-to-noise ratio versus older techniques. However, fat suppression still remains challenging in anatomical regions away from the magnetic isocenter due to field inhomogeneity. Here we demonstrate that continuous table movement (CTM) is superior to fixed table (FT) technology for SPAIR-mediated fat suppression across the entire image stack. As field inhomogeneity away from isocenter is a common challenge, CTM may provide a solution to many frequently encountered problems. |
2608 | Motion-Robust, Reduced-Distortion Diffusion MRI of the Liver with Optimized Motion Compensated Waveforms and Multi-shot EPI | |
Yuxin Zhang1,2, Matthias Muhler1, Ruiqi Geng1,2, Arnaud Guidon3, and Diego Hernando1,2 | ||
1Radiology, University of Wisconsin Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin Madison, Madison, WI, United States, 3Applications and Workflow, GE Healthcare, Boston, MA, United States |
||
Conventional liver diffusion MRI acquisitions suffer from several challenges including low spatial resolution, B0-induced distortions, and elastic motion-induced signal voids. In this work, motion-robust and distortion-corrected liver diffusion-weighted imaging (DWI) was enabled by combining optimized motion compensated diffusion waveforms with multi-shot EPI acquisitions. Quantitative validation of distortions and ADC measurements was performed in healthy volunteer to assess the robustness and reproducibility of the combined techniques, as well as the synergistic effect of motion-robust gradient waveform and multi-shot EPI acquisitions. Preliminary patient example demonstrated the feasibility in patients with metastatic liver lesions. |
2609 | Quantitative magnetic resonance relaxometry for identifying lymphatic insufficiency in patients with secondary lymphedema | |
Paula Donahue1, Rachelle Crescenzi2, Chelsea Lee3, Niral J Patel3, Maria Garza2, Kalen Petersen2, and Manus Joseph Donahue2 | ||
1Physical Medicine and Rehabilitation, Vanderbilt Medical Center, Nashville, TN, United States, 2Radiology and Radiological Sciences, Vanderbilt Medical Center, Nashville, TN, United States, 3Pediatrics, Vanderbilt Medical Center, Nashville, TN, United States |
||
MRI methods capable of evaluating tissue changes in response to lymphatic dysfunction have not been incorporated into lymphedema diagnosis and management owing to limited clinical evaluation of these technologies. We performed quantitative relaxometry in the skin and deep tissue of patients with lymphedema and matched controls, in sequence with standard biophysical bedside measures used for lymphedema assessment. In both deep tissue and skin, T2 was elevated in patients relative to control volunteers, consistent with edema, and relaxometry values were more discriminatory for category (i.e., control versus lymphedema) compared to common bedside tools of arm volume asymmetry and tissue dielectric constant. |
2610 | Integration of novel respiratory navigation techniques into routine abdominal MR examinations | |
Melany Atkins1 and Ersin Bayram2 | ||
1Fairfax Radiological Consultants, Arlington, VA, United States, 2General Electric, Houston, TX, United States |
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Breath-held acquisitions have long been a staple of body MRI to cope with respiratory motion. While this strategy works for many patients, it is challenging for some. Change in breath-hold capacity from one patient to the next requires frequent parameter tweaking, thus operator skillset becomes a key factor in image quality and consistency. Recent advances in novel motion robust acquisition methods and improved hardware such as Air coils have opened the possibility to perform complete free breathing exams. In this study, we report the feasibility results of free breathing integration into our routine abdominal MRI practice. |
2611 | Body Diffusion MR Imaging with Compressed SENSE Based on Single-Shot EPI at 3T and 1.5T: Technical Feasibility and Initial Clinical Experience | |
Paul Sprenger1,2, Kosuke Morita3, Takeshi Nakaura4, Masami Yoneyama5, Shuo Zhang2,6, Maike Bode2, Christiane K. Kuhl2, and Nils A. Kraemer2 | ||
1Faculty of Medicine, RWTH Aachen University, Aachen, Germany, 2Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany, 3Kumamoto University Hospital, Kumamoto, Japan, 4Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan, 5Philips Japan, Tokyo, Japan, 6Philips GmbH DACH, Hamburg, Germany |
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Compressed sensing technologies have recently become commercially available that serve the purpose to shorten the image acquisition time for morphological imaging. Here we explore the reconstruction algorithm that allows the combination of wavelet transformation of compressed sensing with coil information of sensitivity encoding (SENSE) in body diffusion MRI based on 2D single-shot EPI and uniform undersampling, and report our results in both healthy volunteers and patients on both 3T and 1.5T, in comparison to the conventional SENSE parallel imaging technique. |
2612 | Variability from complexity: assessing IVIM acquisition schemes through parameter estimation uncertainty | |
Sean C Epstein1, Timothy J. P. Bray2, Margaret A. Hall-Craggs2, and Hui Zhang1 | ||
1Department of Computer Science & Centre for Medical Image Computing, University College London, London, United Kingdom, 2Centre for Medical Imaging, University College London, London, United Kingdom |
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This work uses the quantification of parameter-estimation uncertainty to assess the clinical suitability of IVIM acquisition schemes. We apply this analysis to two bone marrow classification tasks. We simulate IVIM data and show that fitting a simplified, biased, diffusion model (ADC), can, under certain clinically relevant conditions, outperform ground-truth IVIM fitting. We further show that, within the same disease, the opposite can also be true: IVIM outperforms ADC. Such results can play an important role in guiding clinical DWI practice and we show that they can be predicted by explicitly quantifying the uncertainty in parameter estimation. |
2613 | Comparison and correlation study between DKI and IVIM in assessing liver parenchyma | |
Guifang Lin1, Lili Wang1, Zhongshuai Zhang2, Bin Sun1, Weiwen lin1, Ruolan Lin1, Jingming Chen1, Jiangao Xie1, Yuanfeng Liu1, Qing Duan1, and Yunjing Xue1 | ||
1Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China, 2SIEMENS Healthcare, Shanghai, China |
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The aim of this study was to assess the liver parenchyma by evaluating the regional variability, the measurement stability and the correlations of parameters calculated from IVIM and DKI models using different ROIs. The results demonstrated that S8, S5/8, S5 and S3 delegating different level of liver tissue can be chosen as the representative area in assessing the IVIM-DKI imaging of the liver. ADC, MD, MK and D with lower deviation were suitable for the quantitative evaluation of liver tissue and can be used to reflect different sides of the microstructure of the hepatic parenchyma. |
2614 | Whole body MRI evaluation for adult patients with hereditary cancer syndromes | |
Vishnupriya Kuchana1, Nobuhiro Fujita1, Elina Shrestha1, Amro Saad Aldine1, Khalid Balawi1, and Jinha M Park1 | ||
1Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, United States |
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Patients diagnosed with hereditary cancer syndromes (HCS) mutations are at increased risk of developing tumors. We are trying to evaluate the utility and cost-effectiveness of WB MRI for screening and monitoring adult HCS patients for new lesions (malignant or pre malignant). We retrospectively collected the data from the HCS patients who had whole-body MRI scans and are aged 18 -72 years old. Overall sensitivity and specificity of WB MRI is 100% and 87.5% and mean per patient cost responsibility per scan is $358.83 which proves WB MRI can be an effective tool for screening and surveillance of HCS patients. |
2615 | Optimizing diffusion-weighted imaging of thyroid gland using dedicated surface coil | |
Yunfei Wang1, Chaofan Zhu1, Dehong Luo1, Long Qian2, Yayuan Geng3, Wenming Deng1, and Zhou Liu1 | ||
1Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospi, Shenzhen, China, 2MR Research, GE Healthcare, Beijing, China, 3Huiying Medical Technology Co., Ltd., Beijing, China |
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It is challenging to perform diffusion-weighted imaging (DWI) on thyroid gland with high quality due to susceptibility artifacts caused by complex structure compositions, and physiological motion artifacts and low signal-to-noise ratio (SNR) using conventional head and neck joint coil. We used a histogram-based approach to evaluate the images of the small field-of-view (FOV) DWI (Focus, GE) and DWI with short-tau inversion-recovery (STIR) fat suppression using a state-of-the-art surface-coil specifically designed for thyroid gland. We found significantly different level and considerably inhomogeneity in signal intensity between right and left lobe of thyroid gland and between two DWIs. |
2616 | Diffusion-Weighted Imaging of the Liver with Stretched-Exponential Model | |
Takeshi Yoshikawa1, Yoshiharu Ohno2, Masao Yui3, Yoshimori Kassai3, Tatsuya Ohkubo3, Shinichiro Seki4, Katsusuke Kyotani5, and Yuji Kishida6 | ||
1Kobe University Graduate School of Medicine, Kobe, Japan, 2Fujita Health University School of Medicine, Toyoake, Japan, 3Canon Medical Systems Corporation, Otawara, Japan, 4Hyogo Prefectural Tamba Medical Center, Tamba, Japan, 5Kobe University Hospital, Kobe, Japan, 6Konan Medical Center, Kobe, Japan |
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Stretched-exponential model enables diffusion analysis considering diffusion varieties in each voxel on abdominal DWI. Our study showed stretched-exponential model has a potential to increase diagnostic performance of liver DWI. Alpha has a potential to be used for malignant lesion differentiation. |
2617 | Diffusion-Weighted Imaging with Stretched-Exponential Model for Pancreatic Tumors | |
Takeshi Yoshikawa1, Yoshiharu Ohno2, Masao Yui3, Yoshimori Kassai3, Tatsuya Ohkubo3, Shinichiro Seki4, Katsusuke Kyotani5, and Yuji Kishida6 | ||
1Radiology, Kobe University Graduate School of Medicine, Kobe, Japan, 2Fujita Health University School of Medicine, Toyoake, Japan, 3Canon Medical Systems Corporation, Otawara, Japan, 4Hyogo Prefectural Tamba Medical Center, Tamba, Japan, 5Kobe University Hospital, Kobe, Japan, 6Konan Medical Center, Kobe, Japan |
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Stretched-exponential model enables diffusion analysis considering diffusion varieties in each voxel on abdominal DWI. Our study showed stretched-exponential model has a potential to increase diagnostic performance of pancreatic DWI. Alpha has a potential to be used for malignant lesion differentiation. |
2618 | The Value of Oral Paramagnetic Contrast Agent in Eliminating Gastrointestinal Interference with DWIBS | |
Nan Zhang1, Qingwei Song1, Renwang Pu1, Jiazheng Wang2, Liangjie Lin2, Ailian Liu1, and Haonan Zhang1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
||
The present study aims to explore the effect of oral paramagnetic contrast agent on image quality of Diffusion weighted Whole body Imaging with Background body signal Suppression(DWIBS).This study confirmed that the oral paramagnetic contrast agent could eliminate gastrointestinal interference without affecting the diagnostic efficacy of DWIBS images. |
2619 | Retrospective respiratory and cardiac gating in abdominal diffusion-weighted imaging | |
Sean McTavish1, Christoph Zoellner1, Johannes M. Peeters2, Omar Kamal1, Rickmer F. Braren1, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany, 2Philips Healthcare, Best, Netherlands |
||
Diffusion-weighted imaging (DWI) remains a valuable tool in abdominal lesion detection. However, respiratory and cardiac motion remain major effects confounding the robustness of abdominal DWI. Respiratory triggering and prospective gating techniques are typically employed to reduce the effect of respiratory motion on abdominal DWI. However, these techniques can become either inefficient or result in artifacts in patients with irregular breathing patterns. In addition, cardiac triggering further reduces the SNR efficiency of a respiratory triggered acquisition. The purpose of the present work is to develop an algorithm for combined retrospective gating of abdominal DWI based on recorded respiratory and cardiac signals. |
2620 | Texture analysis based on T2-weigted images show high differentiation between IVDs with and without annular fissuring | |
Stefanie Eriksson1, Hanna Hebelka2,3, Leif Torén2,3, Christian Waldenberg2, Helena Brisby2, and Kerstin Lagerstrand1,4 | ||
1Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden, 2Institute of Clinical Sciences, Gothenburg University, Gothenburg, Sweden, 3Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden, 4Institute of Clinical Scences, Gothenburg University, Gothenburg, Sweden |
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Texture analysis provides quantitative image analysis based on mathematically calculated features. A high number of features calculated with texture analysis showed to be significantly different between the intervertebral discs with and without annular fissuring that had been classified from CT discograms. When the features based on T2-weighted images were used for classification by "Random Forest" a very high accuracy in differentiating between discs with and without annular fissuring was achieved. |
2621 | Flow quantification with navigator-gated 4D flow MRI in portal hypertension | |
Octavia Bane1,2, Daniel Stocker1,2, Paul Kennedy1,2, Stefanie Hectors1,2,3, Susanne Schnell4, Scott Friedman5, Thomas Schiano5, Isabel M Fiel6, Swan Thung6, Aaron Fischman2, Michael Markl4,7, and Bachir Taouli1,2 | ||
1BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Department of Radiology, Weill Cornell Medicine, New York, NY, United States, 4Department of Radiology, Northwestern University, Chicago, IL, United States, 5Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 6Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 7Biomedical Engineering, Northwestern University McCormick School of Engineering, Evanston, IL, United States |
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The purpose of our prospective study was to correlate the hepatic vasculature hemodynamic parameters measured with navigator-gated 4D flow MRI with the hepatic venous pressure gradient (HVPG) in patients with chronic liver disease and suspicion of portal hypertension (PH). Peak velocity in the celiac trunk (CT) was moderately correlated with HVPG, and was significantly elevated in patients with PH. CT flow was significantly elevated in patients with clinically significant PH (CSPH), while portal vein peak velocity was significantly reduced in patients with cirrhosis. Our results suggest that 4D flow MRI may be sensitive to hemodynamic changes in patients with PH. |
2622 | An Inline Implementation of Free Breathing 2D Radial MRE with Radial Self Gating | |
Bradley Bolster, Jr.1, Stephan Kannengiesser2, and Vibhas Deshpande3 | ||
1Siemens Medical Solutions USA, Inc., Salt Lake City, UT, United States, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Siemens Medical Solutions USA, Inc., Austin, TX, United States |
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This study demonstrates in inline implementation of a radial free breathing MRE sequence with integrating radial self gating. Measured stiffness values are consistent across self-gating threshold values and results are in good agreement with standard breath-hold MRE techniques. |
2623 | Post-treatment recovery of perfusion-related diffusion in the fatty liver of type 2 diabetes mellitus: an IVIM-DWI study | |
Wei Wei1, Yan Bai1, Xianchang Zhang2, Robert Grimm3, and Meiyun Wang1 | ||
1Department of Radiology, Henan Provincial People’s Hospital, Zhengzhou, China, 2MR Collaboration, Siemens Healthcare Ltd, Beijing, China, 3MR Application Predevelopment, Siemens Healthcare, Erlangen, Germany |
||
This study aimed to investigate the utility of intra-voxel incoherent motion diffusion-weighted imaging (IVIM-DWI) for monitoring the liver function change during type 2 diabetes mellitus (T2DM) treatment. The results showed that liver fat fractions were significantly decreased and perfusion-related diffusion (D*) was significantly increased, but pure molecular diffusion (D) values showed no significant change in T2DM patients after treatment for three months. Our findings indicated that improvement of hepatic parenchymal perfusion may occur earlier than water molecule diffusion during T2DM treatment. D* may be a more sensitive biomarker than D to characterize the liver function change during T2DM treatment. |
2624 | The relativity (R2*) between ultra-short echo time MRI and mDIXON-Quant sequence in liver cirrhosis | |
Nan Wang1, Ailian Liu1, Qingwei Song1, Renwang Pu1, Mingli Gao1, Lihua Chen1, Jiazheng Wang2, Zhiwei Shen2, and Yishi Wang2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
||
The detection and quantification of iron depositon in cirrhotic liver are important for the diagnosis and treatment. The MR-UTE sequence has advantages in quantifying severe liver iron overload, and partially solve the problem that severe iron overload cannot be accurately quantified. mDIXON-Quant sequence could quantify liver R2* value. |
2625 | Feasibility of 4D-Flow MRI of the Liver using Pencil Beam Navigator for Respiratory Gating and Compressed Sensing | |
Markus Karlsson1, Jens Tellman1, Fredrik Testud2, Ning Jin3, Nils Dahlström1, and Peter Lundberg1 | ||
1Department of Medical and Health Sciences, and Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden, 2Siemens Healthcare AB, Malmö, Sweden, 3Siemens Medical Solutions USA, Inc, Cleveland, OH, United States |
||
Four-dimensional flow magnetic resonance imaging of the liver can be used to characterize the blood flow in the portal vein. This could be a useful tool to evaluate portal hypertension. However, four-dimensional flow magnetic resonance imaging typically requires a long acquisition time, which limits clinical usefulness. We therefore investigated if compressed sensing can be used to shorten the acquisition time. We found that the acquisition time could be reduced to 8-10 minutes, without impacting the flow measurements. |
2626 | The effect of Compressed SENSE acceleration factor on 3D mDIXON sequence for liver imaging | |
Shiyu Wang1, Jiazheng Wang2, Qingwei Song1, Zhongping Zhang3, Bingbing Gao1, Lihua Chen1, and Ailian Liu4 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Dalian, China, 3Philips Healthcare, Beijing, China, 4The First Affiliated Hospital of Dalian Medical University, Dlian, China |
||
Image acquisition of an mDixon sequence typically requires a breath hold to minimize respiratory motion artifact. Minimization the acquisition time of mDixon could be very useful in clinical daily routine. The purpose of the study is to explore the effect of the acceleration factor on the image quality of 3D mDIXON sequence for liver imaging using Compressed SENSE . And CS acceleration factor 4 can reduce the scanning time to 10s on the premise of ensuring the image quality, which is the best scheme for clinical 3D mDixon scanning of liver. |
2627 | Quantitative assessment of the pancreas in subjects using DWI, IVIM, and 3D mDxion-quant: correlation with BMI, SAT, VAT and TAT | |
Qinhe Zhang1, Wan Dong1, Yishi Wang2, Jiazheng Wang2, and Ailian Liu1 | ||
1The first affiliated hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
||
This study measured the quantitative imaging metrics of the pancreas and correlated ADC, sADC, D*,D, f, FF and R2* of pancreas with BMI, TAT, SAT and VAT. This study viewed that there was significant relationship between R2* and VAT, TAT (r=0.495, 0.533, respectively). And, ADC was related to SAT (r=0.460). These may illustrate the impact of different fat distribution on the function of pancreas. |
2628 | T2 mapping quantitative imaging to evaluate pancreatic changes caused by benign and malignant low biliary tract obstruction | |
Xuedong Wang1, Ailian Liu1, Jiazheng Wang2, Ke Jiang2, and Anliang Chen1 | ||
1The first affiliated hospital of dalian medical university, DaLian, China, 2Philips Healthcare, China, Beijing, China |
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T2 mapping is an effective sequence of MRI that enables quantitative assessment of diseases. However, currently there are few trials to confirm its feasibility in distinguishing pancreatic changes due to benign and malignant low biliary obstruction. In this experiment, we used T2 mapping to quantify these changes, and found that T2 mapping is feasible for evaluating the changes of pancreatic parenchyma due to benign and malignant low biliary obstruction. And the value of T2 mapping in malignant group is higher than that in benign group. |
2629 | Quantitative Assessment of Liver Function by using Gd-EOB-DTPA-Enhanced MRI: Hepatocyte Fraction | |
Xueqin ZHANG1, Jian LU1, Jifeng JIANG1, and Weibo CHEN2 | ||
1the Third People’s Hospital of Nantong, Nantong, China, 2Philips Healthcare, Shanghai, China |
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The purpose of this study was to assess the ability of hepatocyte fraction on Gd-EOB-DTPA-enhanced MRI for the quantitative evaluation of liver function. 69 patients with cirrhosis and 22 healthy volunteers with normal liver function who underwent Gd-EOB-DTPA enhanced MRI were collected in this study. T1 mapping images were obtained by using the Look-Locker sequences before and 20 minutes after Gd-EOB-DTPA administration, hepatocyte fraction (HeF) and KHep were measured. Our study showed that hepatocyte fraction (HeF and KHep vlaues) based on Gd-EOB-DTPA- enhanced T1 mapping MRI is an efficient diagnostic tool for the quantitative evaluation of liver function. |
2630 | A preliminary study on the value of amide proton transfer-weighted imaging in differentiating primary from secondary malignant liver tumors | |
Tao Lin1, Ailian Liu 1, Jiazheng Wang 2, Nan Wang1, Lihua Chen 1, Dahua Cui1, Ying Zhao 1, Qingwei Song 1, Renwang Pu 1, Bingbing Gao1, and Yanling Wu2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Our work aimed to explore the value of amide proton transfer-weighted (APTw) imaging in diagnosing primary and secondary malignant liver tumors. The result manifested that the novel imaging tool had a valuable utility in differentiating primary from secondary malignant liver tumors (AUC: 0.879; sensitivity: 76.9%; specificity: 100%). |
2631 | The value of texture analysis based on multiple high b-values DWI for evaluation of tumor heterogeneity in HCC patients | |
Ying Zhao1, Jiazheng Wang2, Zhiwei Shen2, Zhongping Zhang2, Nan Wang1, Lihua Chen1, Dahua Cui1, Tao Lin1, Qingwei Song1, Renwang Pu1, Bingbing Gao1, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Previous studies have reported preliminary but promising results that high b‐value DWI has a remarkably high sensitivity in neuro or genitourinary malignancies. However, the value of high b-value DWI in liver remains controversial. In the current study, multiple high b-values DWI - based texture analysis was applied to evaluate tumor heterogeneity in hepatocellular carcinoma (HCC) patients. The results demonstrated that ultra-high b-value (b = 2000 and 3000 s/mm2) DWI images could offer more information in tumor heterogeneity evaluation compared to the conventional b-value (b = 800 s/mm2) DWI images based on texture analysis in HCC patients. |
2632 | Evaluation of Portal System Flow in Response to a Meal Challenge with 4D-Flow MRI | |
Lihua Chen1, Ailian Liu2, Jiazheng Wang3, Yishi Wang3, Yaxin Niu2, and Qingwei Song2 | ||
1The First Affiliated Hospital of Dalian Medical University, DaLian, China, 2The First Affiliated Hospital of Dalian Medical University, Dalian, China, 3Philips Healthcare, Beijing, China |
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The quantitative flow measurements at 4D - flow MRI in the portal system and flow change in response to a meal challenge. Significant increased blood flow velocity and volume were observed in PV and SMV and significantly decreased blood flow was observed in SV after a meal. |
2633 | Assessing Liver Changes after 30% and 70% Partial Hepatectomy Using T1 and T2 mapping | |
Qing Li1, Shuangshuang Xie1, Caixin Qiu1, Jinxia Zhu2, Chengwen Liu2, and Wen Shen1 | ||
1Tianjin First Central Hospital, Tianjin, China, 2MR Collaboration, Siemens Healthcare, Ltd, Beijing, China |
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T1 and T2 mapping of rats with 30% and 70% partial hepatectomy (PH) were compared, and trends were similar with some differences, indicating liver changes after PH in the 70% PH group was more active. The results suggested that T1 and T2 mapping are potential to assess liver regeneration after PH. |
2634 | T2* Relaxation Time as an Imaging Biomarker for Monitoring Liver Arterial Blood Supply After Partial Hepatectomy | |
shuangshuang xie1, caixin qiu1, yajie sun1, qing li1, jinxia zhu2, and wen shen1 | ||
1Tianjin First Center Hospital, Tianjin, China, 2MR Collaboration, Siemens Healthcare, Beijing, China |
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The value of effective T2 (T2*) relaxation time in monitoring changes in liver arterial blood supply after partial hepatectomy was investigated using a rat model. Ten rats received a 30% hepatectomy, and the other ten received a 70% hepatectomy. Before and after the surgery, all animals underwent T2* mapping at multiple time points. Liver T2* relaxation times were measured and compared between different groups at each time point. The results indicated that T2* relaxation time can be used to monitor changes in liver arterial blood supply after partial hepatectomy. |
2635 | Consensus-based technical recommendations for clinical translation of renal MRI | |
Fabio Nery1, Iosif Mendichovszky2, Pim Pullens3, Ilona Dekkers4, Octavia Bane5, Andreas Pohlmann6, Anneloes de Boer7, Alexandra Ljimani8, Aghogho Odudu9, Charlotte Buchanan10, Kanishka Sharma11, Christoffer Laustsen12, Anita Harteveld7, Xavier Golay13, Ivan Pedrosa14, David Alsop15, Sean Fain16, Anna Caroli17, Pottumarthi Prasad18, Susan Francis10, Eric Sigmund19, Maria Fernández‐Seara20, and Steven Sourbron21 | ||
1Developmental Imaging and Biophysics Section, UCL Great Ormond Street Institute of Child Health, London, UK, London, United Kingdom, 2Department of Radiology, Addenbrooke’s Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 3Department of Radiology, Ghent University Hospital and Ghent Institute for Functional and Metabolic Imaging, Ghent University, Ghent, Belgium, 4Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 5Translational and Molecular Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 6Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 7Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands, 8Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, 40225, Dusseldorf, Germany, 9Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom, 10Sir Peter Mansfield Imaging Centre, University of Nottingham, University Park, Nottingham, United Kingdom, 11Imaging Biomarkers Group, Department of Biomedical, Imaging Sciences, University of Leeds, Leeds, United Kingdom, 12Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark, 13Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, United Kingdom, 14Department of Radiology, Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 15Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 16Departments of Biomedical Engineering, Radiology, and Medical Physics, University of Wisconsin, Madison, WI, United States, 17Department of Biomedical Engineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy, 18Department of Radiology, Center for Advanced MR Research, NorthShore University Health System, Evanston, IL, United States, 19Department of Radiology, Center for Biomedical Imaging (CBI), Center for Advanced Imaging Innovation and Research (CAI2R), NYU Langone Health, New York, NY, United States, 20Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain, 21Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom |
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The field of renal MRI has undergone significant developments over the last decade. However, the lack of standardisation of acquisition and analysis methods remains an important barrier to clinical translation. We present a consensus project initiated through the Cooperation in Science and Technology (COST) Action PARENCHIMA whereby a group of renal MRI experts employed a Delphi-based approach to develop technical recommendations for renal T1 and T2 mapping, arterial spin labelling, diffusion-weighted imaging and blood oxygenation level-dependent MRI. These will promote standardisation of renal MRI protocols and thus facilitate clinical translation and comparison of data across sites. |
2636 | Travelling kidneys: Multicentre multivendor variability of renal BOLD and T1 mapping – preliminary results | |
Charlotte E Buchanan1, Fabio Nery2, Andrew Priest3, Eleanor F Cox1, Joao Sousa4, Michael Nation5, Iosif Mendichovszky3, Steven Sourbron6, David Thomas2,7, and Susan T Francis1 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2Developmental Imaging and Biophysics Section, University College London, London, United Kingdom, 3Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom, 4Imaging Biomarkers Group, Department of Biomedical Imaging Sciences, University of Leeds, Leeds, United Kingdom, 5Kidney Research UK, Peterborough, United Kingdom, 6Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom, 7Queen Square Institute of Neurology, University College London, London, United Kingdom |
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We have performed an intra-individual, inter-vendor comparison of renal T1 and BOLD T2* measures using predominantly product sequences. Renal T2* is sensitive to dephasing due to background magnetic field gradients, the degree of which differs across the MR vendors. A strong B0 L-R gradient, especially prominent for one vendor, leads to an asymmetry in T2* values between kidneys. B1 maps vary across subjects with no vendor-specific bias. Renal cortex T1 values computed using a 2-parameter fit were shown to systematically vary across vendors; a 3-parameter fit reduced this bias but differences remain. This highlights areas of future development for standardisation. |
2637 | The reproducibility of DWI and BOLD in Early Diagnosis of Acute Kidney Injury in Animal Models | |
Hanjing Kong1, Weizheng Gao1, Fei Gao1, Chengyan Wang2, Xiaodong Zhang1, Min Yang1, Xiaoying Wang3, and Jue Zhang1 | ||
1Peking University, Beijing, China, 2Fudan University, Shanghai, China, 3Peking University First Hospital, Beijing, China |
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Early diagnosis of acute kidney injury (AKI) has clinical importance. Blood oxygen level-dependent (BOLD) imaging and diffusion-weighted imaging (DWI) showed its priority in diagnosis of AKI in the early phase. However, the reproducibility of these methods remains unknown. In this study, we present repeated measurements of the DWI and BOLD renal MR imaging and further compared the quantitative results in terms of reproducibility. |
2638 | A reproducibility study on the changes of R2’ in quantitative evaluation of acute renal injury | |
Weizheng Gao1, Hanjing Kong1, Chengyan Wang2, Xiaodong Zhang1, Min Yang1, Xiaoying Wang3,4, and Jue Zhang1 | ||
1Peking University, Beijing, China, 2Fudan University, Shanghai, China, 3Department of Radiology, Peking University First Hospital, Beijing, China, 4Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China |
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Recent studies have demonstrated that a novel MRI imaging sequence termed psMASE, together with hemodynamic response imaging, is able to effectively distinguish different severities of acute renal injury. In this study, we performed repeated scanning to verify the repeatability of the psMASE strategy. |
2639 | Improved Diffusion-Weighted Imaging of Rat Kidney Using Interleaved Multishot EPI with 2D Navigators | |
Qiang Liu1, Zhongbiao Xu2, Xinyuan Zhang1, Zhifeng Chen1, Rongli Zhang3, Yaohui Wang4, Kaixuan Zhao1, Ed X. Wu5,6, and Yanqiu Feng1 | ||
1School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China, 2Department of Radiotherapy, Cancer Center, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Science, Guangzhou, China, 3School of Medicine, Guangdong Provincial People's Hospital , South China University of Technology, Guangzhou, China, 4Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, China, 5Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China, 6Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, China |
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This work aimed to improve rat kidney diffusion-weighted imaging (DWI) by using interleaved multishot echo planar imaging (EPI) with 2D navigators. The data of shots were combined to reconstruct the final images by using the IRIS processing pipeline. The in vivo rat imaging results show that the multishot EPI approach obtained renal diffusion-weighted images with higher resolution and less geometric distortion, compared single-shot EPI. The DWI of rat kidney can be significantly improved by 2D navigated multishot EPI. |
2640 | Second-order Motion Compensated Intravoxel Incoherent Motion Analysis of the Kidney | |
Yuki Koshino1, Naoki Ohno2, Tosiaki Miyati2, Tetsuo Ogino3, Yu Ueda3, Naoki Hori1, Yukihiro Matsuura1, Toshifumi Gabata4, and Satoshi Kobayashi1,2,4 | ||
1Radiology Division, Kanazawa University Hospital, Ishikawa, Japan, 2Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Ishikawa, Japan, 3Philips Japan, Tokyo, Japan, 4Department of Radiology, Kanazawa University Graduate School of Medical Sciences, Ishikawa, Japan |
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To investigate the potential benefit of second-order motion compensated (2nd-MC) diffusion encoding scheme on intravoxel incoherent motion (IVIM) analysis of the kidney, we compared the IVIM diffusion parameters and repeatability between the 2nd-MC and conventional diffusion gradients. Our results showed that the 2nd-MC diffusion gradients show better fitting accuracy and repeatability of IVIM diffusion parameters of the kidney compared with the conventional diffusion gradients. Therefore, the 2nd-MC diffusion encoding scheme could enable us to reduce the bulk motion effect mainly caused by cardiac and respiratory motion during diffusion sensitization. |
2641 | Reliability of Water-Lipid Separation in the Kidney Measured by Accelerated In Vivo Magnetic Resonance Spectroscopic Imaging at 3 T | |
Ahmad Alhulail1,2, Mahsa Servati1,3, Nathan Ooms1,3, Oguz Akin4, Alp Dincer5,6, M. Albert Thomas7, Ulrike Dydak1,3, and Uzay E Emir1,8 | ||
1School of Health Sciences, Purdue University, West Lafayette, IN, United States, 2Department of Radiology and Medical Imaging, Prince Sattam bin Abdulaziz University, Al Kharj, Saudi Arabia, 3Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States, 4Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 5Department of Radiology, School of Medicine, Acıbadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 6Center for Neuroradiological Applications and Research, Acıbadem Mehmet Ali Aydinlar University, Istanbul, Turkey, 7Department of Radiology, University of California Los Angeles, Los Angeles, Los Angeles, CA, United States, 8Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States |
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MRS could be useful for characterization of the renal cell carcinoma by detecting lipid content. However, single-voxel MRS cannot show the distribution of lipids for heterogeneous tumors. We propose a fast MRSI sequence to map the distribution of lipid metabolites within a clinically acceptable time frame at 3T. The proposed MRSI technique provided high-quality data with reproducible quantitative outputs. The coefficient of variance for the quantified fat fraction was less than 1%. |
2642 | Fat suppression efficiency in kidney diffusion imaging with different techniques | |
Jingjun Wu1, Ailian Liu1, Jiazheng Wang2, Zhongping Zhang2, Dahua Cui1, Lihua Chen1, Qingwei Song1, Renwang Pu1, and Bingbing Gao1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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The reverse gradient technique showed equal fat suppression efficiency and higher SNR and CNR when compared to the RF inversion method in liver DWI, while the measured ADC values were consistent among the two. Chemical shift artifacts remain problematic in abdominal diffusion imaging due to the challenges in B0 field shimming, and the adoption of the optimal fat suppression technique for different application scenarios is important to balance between fat suppression, SNR, and ADC accuracy. |
2643 | Feasibility of highly accelerated high resolution two-dimensional T2-weighted MRIusing compressed sensing and parallel imaging in healthy kidney | |
Jingjun Wu1, Ailian Liu1, Jiazheng Wang2, Xiaofang Xu2, Dahua Cui1, Lihua Chen1, Qingwei Song1, Renwang Pu1, and Bingbing Gao1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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When compared to SENSE 2, a clinical routine kidney T2WI protocol and hence the golden standard in this study, CS-SENSE with a 75% higher acceleration factor achieved comparable image quality, both qualitatively and quantitatively, while approximately halved the imaging time. CS-SENSE with acceleration factor 3.5 has the potential to replace the 2 fold SENSE acceleration as a clinical routine to increase patient comfort and throughput, which is especially beneficial for ultra-high resolution acquisitions which normally demands extended imaging time. |
2644 | Application of the Free-Breathing 3D Turbo Gradient Spin Echo pCASL Sequence to Assess Renal Perfusion in Patients with Diabetic Nephropathy | |
Xiao-dong Zheng1, Shi-hong Li1, Guang-wu Lin1, Cai-xia Fu2, and Bernd Kühn3 | ||
1Department of Radiology, Hua Dong Hospital, Fudan University, Shanghai, China, 2MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 3MR Application Predevelopment, Siemens Healthcare, Erlangen, Germany |
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In this study, we aimed to compare the renal blood flow (RBF) values obtained with the 3D Turbo Gradient Spin Echo (TGSE) pCASL sequence with glomerular filtration rates (GFRs) measured using single-photon emission computed tomography (SPECT) for nuclide nephro-dynamic imaging to assess renal perfusion in patients with diabetic nephropathy. Our study demonstrated that the RBF values were well correlated with GFR, indicating that the 3D-TGSE pCASL sequence could be used as an alternative - method for the prediction of early diabetic nephropathy. |
2645 | Explore the performance of compressed-SENSE accelerated 3D mDIXON on kidney of healthy subjects | |
Lijuan Sun1, Qingwei Song1, Meiyu Sun1, Dianxiu Ning1, Nan Zhang1, Nan Wang1, Jiazheng Wang2, and Liangjie Lin2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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The compressed sensing (CS) technique, which implements k-space sparses ampling and iterative reconstruction algorithm, has now been widely used in acceleration of MR examinations of various anatomies and anatomical contrasts. This study aims to explore the performance of 3D water-fact imaging accelerated using a combination of compressed-sensing and sensitivity encoding on kidney of healthy subjects. Several acceleration factors of the proposed technique were compared against the traditional sensitivity-encoding technique and an acceleration factor of 2 was recommended for a balance between imaging time and image quality. |
2646 | 3D amide proton transfer MR imaging of kidney: a feasibility study | |
Nan Wang1, Ailian Liu1, Jiazheng Wang2, Zhiwei Shen2, Qingwei Song1, Renwang Pu1, Bingbing Gao1, and Lihua Chen1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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MRI imaging is a radiographic imaging technology widely used in human body. The application of MRI at the molecular level had became a hot research topic in the near future. 3D amide proton transfer weighted(APTw) MR imaging is a new contrast-agent-free MRI technique that addresses the need for a more confident diagnosis in oncology[1,2]. The APTw was widely used in the nervous system. Recently, The APTw was gradually applied to the abdomen[3,4]. At present, there is no related research reported on renal APT imaging. |
2647 | Retrospective affine motion correction of arterial spin labeling kidney perfusion measurements | |
Steffen Ringgaard1 and Anne Dorte Blankholm2 | ||
1MR Research Centre, Aarhus University, Aarhus, Denmark, 2Department of Radiology, Aarhus University Hospital, Aarhus, Denmark |
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When doing arterial spin labeling perfusion measurements in the kidneys, respiratory motion is an important issue. We compared different methods for doing retrospective motion correction of single-shot ASL images. We evaluated the temporal signal variation in the cortex after correction by translation, translation+rotation and affine transformation and found that the variation was lowest when using full affine correction. Besides, we also compared different similarity measures as used during the motion correction. |
2648 | Kidney segmentation using dual neural network and one-shot deep learning | |
Junyu Guo1 and Ivan Pedrosa1 | ||
1Radiology, UT southwestern medical center, Dallas, TX, United States |
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Image segmentation is important for quantitative analysis in many medical applications. Although deep learning methods generate segmentation with high accuracy, the model has to be trained for different organs and image modalities. These training processes are very time-consuming and labor-intensive because of the requirements of drawing masks manually. In this project, we present a dual neural network method trained using one set of 3D MRI data from a single subject. We demonstrate the feasibility of using a single 3D dataset to train a dual neural network for kidney segmentation, which greatly reduce the burden of drawing masks for large datasets. |
2649 | Segmentation and 3D Anatomical Renderings of Pelvic MRI Allow Quantitative Analysis of Lower Urinary Tract Anatomy | |
Lucille E Anzia1, Cody J Johnson1, Diego Hernando1, Wade A Bushman2, Shane A Wells1, and Alejandro Roldán-Alzate3 | ||
1Radiology, University of Wisconsin Madison, Madison, WI, United States, 2Urology, University of Wisconsin Madison, Madison, WI, United States, 3Mechanical Engineering, University of Wisconsin Madison, Madison, WI, United States |
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Previous anatomic studies of the lower urinary tract predominantly utilize ultrasound and computed tomography. We present a novel method for measuring bladder wall volume (BWV), bladder wall thickness (BWT) and prostate volume (PV) using 30 (14 male) patients aged 30-39. Through MRI segmentation of the bladder and prostate in Mimics software, 3D models were quantified for BWV and PV. 3-matic was used to measure BWT. There were no significant differences in BWV or BWT between males and females (p=0.52,0.25). Mean PV was 28.7cm3 (16.7-47.8cm3). Non-significant variations in BWT were observed regionally. Future directions will use this methodology across age groups. |