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| 811 | Computer 36
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Comparison of local SAR and temperature increase between 1.5T and 3T in fetal MRI across five numerical pregnant body models |
| Filiz Yetisir1, Esra Abaci Turk1,2, Judy A Estroff3,4, Carol Barnewolt3,4, Elfar Adalsteinsson5,6,7, Patricia Ellen Grant1,2,3, and Lawrence L Wald6,8,9 | ||
1Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, United States, 2Department of Pediatrics, Boston Children's Hospital, Boston, MA, United States, 3Department of Radiology, Boston Children's Hospital, Boston, MA, United States, 4Maternal Fetal Care Center, Boston Children's Hospital, Boston, MA, United States, 5Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 6Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 7Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 8Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 9Department of Radiology, Massachusetts General Hospital, Boston, MA, United States |
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3T can improve fetal MRI compared to 1.5T, but concerns over increased RF safety risk for the fetus exist due to higher field nonuniformity. Previous studies comparing fetal SAR between two field strengths used either a single pregnant body model or artificial pregnant body models. In this study, we compare SAR and temperature increase in the fetus and mother at 1.5T and 3T using 5 anatomically realistic and diverse pregnant body models. Across these models, we find similar or lower levels of fetal SAR and temperature increase at 3T compared to 1.5T. |
| 812 | Computer 37
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Placental MRI: The effect of maternal breath hold on T2* quantified by multi-echo gradient echo EPI |
| Jeffrey N Stout1, Esra Abaci Turk1, Borjan Gagoski1, Mary Katherine Manhard2,3, William H Barth, Jr.4, Elfar Adalsteinsson5,6, and P. Ellen Grant1 | ||
1Fetal-Neonatal Neuroimaging Developmental Science Center, Boston Children's Hospital, Boston, MA, 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, 4Maternal-Fetal Medicine, Massachusetts General Hospital, Boston, MA, United States, 5Institute of Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 6Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States |
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T2* imaging has been the focus of research into the non-invasive MRI assessment of placental function, yet the fundamental physiology that determines placental T2* is under active investigation. We explored the effect of maternal breath holding on placental T2* quantified with multi-echo GRE EPI. We quantified T2* in free-breathing and breath hold periods by identifying voxels that responded to the breath hold stimulus through fitting with a GLM, and found a consistent positive increase in T2* during breath hold. This increase may be evidence that fetal SO2 rises during mild maternal hypercapnia, as has been observed previously in instrumented animals. |
| 813 | Computer 38
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Coherent flows detected in placental diffusion weighted data |
| George Hutchinson1, Neele Dellschaft1, Nia Jones2, Lopa Leach3, and Penny Gowland1 | ||
1Sir Peter Mansfield Imaging Centre, The University of Nottingham, Nottingham, United Kingdom, 2Department of Child Health, Obstetrics and Gynaecology, School of Medicine, The University of Nottingham, Nottingham, United Kingdom, 3School of Life Sciences, The University of Nottingham, Nottingham, United Kingdom |
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Diffusion weighted imaging is commonly used in the placenta to characterise regions of differing structure and flow, including differences between the healthy and compromised placenta. Typically placental diffusion data is described by a combination of exponential decays with increasing diffusion weighting, but we have observed signals that show oscillations in signal or even increasing initial signal and are likely to relate to refocusing caused by coherent flows. By altering our diffusion fitting we can access information about flow patterns and provide more information regarding placental haemodynamics. |
| 814 | Computer 39
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Multi-modal MRI reveals changes in placental function following preterm premature rupture of membranes |
| Andrew Melbourne1, Carla Avena Zampieri1, Dimitra Flouri1, Joseph V Hajnal1, Anna David2, Mary A Rutherford1, Jana Hutter3, and Lisa Story4 | ||
1Centre for Medical Engineering, King's College London, London, United Kingdom, 2University College London, London, United Kingdom, 3King's College London, London, United Kingdom, 4Women's Health, King's College London, London, United Kingdom |
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Preterm premature rupture of membranes (PPROM) complicates up to 40% of deliveries less than 37 completed weeks gestation. Absence of clinical symptoms means that fetal infection can be missed and later complications are significantly higher. There is thus a real need for non-invasive antenatal assessment of the early signs of placental inflammation. This study combines an efficient multimodal Diffusion-Relaxation acquisition with dedicated analysis to study the placental phenotype associated with PPROM. Initial results indicate that multi-modal MRI measurement of placental function is linked to eventual gestational age at delivery. |
| 815 | Computer 40
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Structural-functional interplay of the human placenta: in-vivo study using Pseudocontinuous Arterial Spin Labeling |
| Daphna Link1, Netanell Avisdris1,2, Xingfeng Shao3, Liat Ben Sira4,5, Liran Hiersch6, Ilan Gull7, Danny J.J. Wang8, and Dafna Ben Bashat1,4 | ||
1Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 2School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel, 3Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 4Sackler Faculty of Medicine and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 5Division of Pediatric Radiology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 6Division of Obstetrics and Gynecology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 7Ultrasound Unit, Lis Maternity Hospital, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 83Laboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States |
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Adequate placental structure and function are crucial for fetal and maternal health. Here we assessed late-gestation placental perfusion (N=50, GA=31-38 weeks) using pseudocontinuous arterial-spin-labeling and radiomics feature-extraction, and their association with umbilical-cord insertion-site and the risk of fetal-growth-restriction (FGR). Increased blood-flow and arterial-transit-time were detected in our normal cases compared to earlier gestation as reported previously. Perfusion features differences were detected in placentas with marginal compared to central cord-insertion, indicating higher intensity heterogeneity. No differences were found between normal and FGR placentas. This study provides normal late-gestation placental perfusion values based on a large cohort, and implies on structural-functional associations. |
| 816 | Computer 41
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Effects of Life-Long Maternal Western Diet on Guinea Pig Placental Metabolism Across Gestation using [1-13C]pyruvate MRI |
| Lindsay E. Morris1, Lanette J. Friesen-Waldner1, Trevor P. Wade1, Lauren M. Smith2, Mary-Ellen ET. Empey1, Timothy RH. Regnault3,4,5, and Charles A. McKenzie1,5 | ||
1Medical Biophysics, Western University, London, ON, Canada, 2Radiation Oncology, University of California Los Angeles Health, Los Angeles, CA, United States, 3Physiology and Pharmacology, Western University, London, ON, Canada, 4Obstetrics and Gynaecology, Western University, London, ON, Canada, 5Division of Maternal, Fetal and Newborn Health, Children's Health Research Institute, London, ON, Canada |
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Effects of a life-long maternal Western Diet (WD: high fat and high sugar diet) on placental metabolism in 33- and 60-day gestation guinea pigs were investigated. Pregnant WD or control diet (CD) fed sows underwent T1-weighted and 13C hyperpolarized metabolic MRI at 3T. Metabolite mean signal intensities were measured in the placental volumes as a function of time and area under the curve (AUC) ratios were calculated for pyruvate and its metabolites: lactate, bicarbonate & alanine. The AUC ratios for lactate and bicarbonate were significantly higher in WD than CD groups, suggesting placental metabolic dysfunction. |
| 817 | Computer 42
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Ferumoxytol-Enhanced T2* Mapping of Human Placenta with Fetal Growth Restriction |
| Ruiming Chen1, Ante Zhu2, Kevin M. Johnson1,3, Ian M. Bird4, Kathleen M. Antony4, J. Igor Iruretagoyena4, Scott B. Reeder1,3,4,5,6, Diego Hernando1,3,7,8, Dinesh M. Shah4, and Oliver Wieben1,3 | ||
1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2GE Global Research, Niskayuna, NY, United States, 3Radiology, University of Wisconsin - Madison, Madison, WI, United States, 4Obstetrics & Gynecology, University of Wisconsin - Madison, Madison, WI, United States, 5Medicine, University of Wisconsin - Madison, Madison, WI, United States, 6Emergency Medicine, University of Wisconsin - Madison, Madison, WI, United States, 7Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, 8Electrical and Computer Engineering, University of Wisconsin - Madison, Madison, WI, United States |
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Fetal growth restriction (FGR) is associated with placental hypoxia, which can be identified by measuring placental T2* value in-vivo. In this pilot study, we acquired T2* maps in 2 subjects in late pregnancy diagnosed with FGR. Mean and histogram of T2* and R2* values in the placenta were analyzed for two timepoints after administration of ferumoxytol reflecting T2* maps dominated by the presence of the iron nanoparticles and a baseline. We observed lower baseline T2* values than previously reported in healthy controls at similar gestation as well as lower baseline T2* values as reported in FGR patients earlier in gestation. |
| 818 | Computer 43
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Multiparametric Modeling of Fetal MRI to Compare Lobular and Whole-Placental Segmentations for Fetal Growth Restriction |
| Janina Schellenberg1, Rosalind Aughwane2, Dimitra Flouri1, Nada Mufti2, Katarzyna Maksym2, Anna L. David2, and Andrew Melbourne1 | ||
1Kings College London, London, United Kingdom, 2University College London, London, United Kingdom |
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Babies with fetal growth restriction fail to grow properly in the womb and become hypoxic. They must be delivered prematurely to prevent stillbirth. DECIDE model fitting can determine properties which give information about the placental function and fetal blood saturation. This can be used to identify fetal growth restriction and manage the pregnancy effectively. The aim is to compare DECIDE model fitting results for different mask segmentations. The placenta is segmented into lobules and used as a mask itself. Statistically significant differences of the fetal and placental properties between appropriately developing and growth-restricted pregnancies are determined. |
| 819 | Computer 44
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Impact of motion correction on in-vivo assessment of Placenta Adhesion Abnormality (PAA) disorders using IVIM method |
| Mbaimou Auxence Ngremmadji1, Robin Draveny1, Audrey Krisch2, Khalid Ambarki3, Dominik NICKEL4, Charline Bertholdt1,5, Olivier Morel1,5, Marine Beaumont1,2, and Bailiang Chen1,2 | ||
1IADI, Inserm U1254, Université de Lorraine, Nancy, France, 2CIC-IT 1433, Inserm, CHRU Nancy, Nancy, France, 3Siemens Healthineers, Nancy, France, 4MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 5Women's Division, Nancy Regional and University Hospital Center (CHRU), Université de Lorraine, Nancy, France, Nancy, France |
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Placenta adhesion abnormality (PAA) is the consequence of an excessive invasion of the placenta within the myometrium. Due to its severe maternal pregnancy outcomes, screening of subjects with suspicions of PAA are very important. The utilisation of intra voxel incoherent motion (IVIM) technique may help to improve the diagnosis. But its stability and robustness need to be improved and analysed. Here we aim to evaluate the impact and address the importance of motion correction technique to assess PAA disorders in-vivo using IVIM method in order to establish a robust and stable pipeline for PAA patient screening. |
| 820 | Computer 45
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Feasibility of Quantifying Myelin Water Fraction in the Fetal Guinea Pig Brain |
| Simran Sethi1, Lanette J. Friesen-Waldner1, Trevor P. Wade1,2, Ousseynou Sarr3, Brian Sutherland3, Timothy R.H. Regnault3,4,5, and Charles A. McKenzie1,2,5 | ||
1Medical Biophysics, Western University, London, ON, Canada, 2Robarts Research Institute, Western University, London, ON, Canada, 3Physiology and Pharmacology, Western University, London, ON, Canada, 4Obstetrics and Gynaecology, Western University, London, ON, Canada, 5Maternal, Fetal & Newborn Health, Children's Health Research Institute, Lawson Research Institution, London, ON, Canada |
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Myelin water fraction (MWF), a validated marker for myelin lipid, can be used to assess fetal myelination in vivo. Thus, this study aims to demonstrate the feasibility of quantifying fetal MWF. 11 pregnant guinea pigs with 38 fetuses were imaged in a 3T MRI. mcDESPOT was used to quantify MWF in the corpus callosum (CC) of the maternal brain and the CC and fornix (FOR) of the fetal brain. MWF maps were successfully generated in all fetal brains, confirming its feasibility. Maternal MWF results and comparison of fetal CC and FOR MWF results are consistent with published results. |
| 821 | Computer 46
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Assessment of pessary position using upright MR imaging of patients with pelvic organ prolapse |
| Lisan M. Morsinkhof1, Anique T.M. Grob2, Lianne Straetemans1, and Frank F.J. Simonis1 | ||
1Magnetic Detection & Imaging, University of Twente, Enschede, Netherlands, 2Multi-Modality Medical Imaging, University of Twente, Enschede, Netherlands |
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Pessary treatment for pelvic organ prolapse (POP) has a success rate of only 63% and its working mechanism remains unclear. This study applies upright MRI to gain insight into pessary. Patients were scanned in supine and upright position. The pessary was located under the inferior pubic bone in 7 out of 9 patients in upright position, opposed to 1 out of 9 in supine position. This indicates that the pubic bone does not (solely) contribute to the supporting mechanism. The use of upright MRI contributes to knowledge about the working mechanism of the pessary. |
| 822 | Computer 47
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Role of puborectalis thickness measurement in the assessment of pelvic floor dysfunction and its correlation with HMO classification. |
| Anugayathri Jawahar1, Perla Subbaiah 2, and Vipul R Sheth3 | ||
1Radiology, Loyola University Medical Center, Maywood, IL, United States, 2Biostatistics, Oakland University, Rochester, MI, United States, 3Radiology Body MRI, Stanford University Medical Center, Palo Alto, CA, United States |
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Pelvic floor dysfunction is a common problem affecting women over 50 years of life causing significant morbidity. Traditionally, H-line and M-line measurements have been used to assess pelvic organ prolapse. However, puborectalis muscle which plays a crucial role in pelvic floor intactness can be measured to reflect the weakening of the pelvic floor. We evaluated and found puborecatalis measurement can be used as a supplement to H-line and M-line measurements in assessing pelvic organ prolapse. |
| 823 | Computer 48
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Enhanced T2-weighted images using Luminal Water Imaging and U-Net based segmentation for prostate cancer diagnosis. |
| Candice JX Ip1,2, Silvia D Chang3,4,5, Shirin Sabouri1, Andrew Yung1, Stefan Reinsberg2, and Piotr Kozlowski1,2,3,4,5 | ||
1UBC MRI Research Center, University of British Columbia, Vancouver, BC, Canada, 2Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 3Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada, 4Vancouver Prostate Centre, Vancouver, BC, Canada, 5Department of Radiology, The University of British Columbia, Vancouver, BC, Canada |
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Clinical prostate carcinoma (PCa) detection with MRI has focused on qualitative assessment. However, novel Luminal Water Imaging (LWI) provides quantitative information with promising results for detecting PCa. To overcome shortcomings of clinical prostate MRI protocol, we propose using LWI to augment T2-weighted (T2W) images to improve image contrast for PCa detection while maintaining anatomical details needed for radiological diagnosis. Here, we investigate automatic segmentation models and various weighting functions of LWI parameter maps to generate semi-quantitative T2W images that also preserves anatomical detail. Our results show that a combined T2W and LWI parameter image provides enhanced detection of PCa. |
| 824 | Computer 49
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Radiological Evaluation of Model-Based Reconstruction for Through-Plane Resolution Enhancement in T2-Weighted Spin-Echo Prostate MRI |
| Eric A. Borisch1, Adam T. Froemming1, Roger C. Grimm1, Akira Kawashima2, Joshua D. Trzasko1, and Stephen J. Riederer1 | ||
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Radiology, Mayo Clinic, Phoenix, AZ, United States |
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Results of a radiological review of a previously described Model Based Iterative Reconstruction (MBIR) compensating for slice profile arising in a thick and overlapping-slice acquisition of the prostate are detailed. Blinded review by two radiologists indicated improvements in SNR, contrast fidelity, and diagnostic quality. |
| 825 | Computer 50
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Incorporating compartmental T2 measurements into Restriction Spectrum Imaging of the prostate |
| Christopher C Conlin1, Roshan A Karunamuni2, Christine H Feng2, Ana E Rodriguez-Soto1, Joshua M Kuperman1, Dominic Holland3, Rebecca Rakow-Penner1, Michael E Hahn1, Anders M Dale1,3,4, and Tyler M Seibert2,5 | ||
1Department of Radiology, University of California San Diego, La Jolla, CA, United States, 2Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, United States, 3Department of Neurosciences, University of California San Diego, La Jolla, CA, United States, 4Halıcıoğlu Data Science Institute, University of California San Diego, La Jolla, CA, United States, 5Department of Bioengineering, University of California San Diego, La Jolla, CA, United States |
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Restriction Spectrum Imaging (RSI) examines diffusion in discrete tissue compartments to better detect and characterize prostate cancer. T2 information from these compartments may further improve prostate cancer evaluation. In this study, RSI data was acquired using multiple echo times to measure both compartmental T2 and diffusion in patients with suspected prostate cancer. A multivariable model was then developed to identify cancer from compartmental T2 and diffusion measurements. Significant differences in compartmental T2 were observed between normal and cancerous prostatic tissue. However, the multivariable model did not significantly improve cancer detection performance over diffusion measurements alone. |
| 826 | Computer 51
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MCR-ALS application for prostate cancer localization |
| Angeliki Stamatelatou1, Carlo Giuseppe Bertinetto2, Jeroen Jansen2, Geert Postma2, Arend Heerschap1, and Tom Scheenen1 | ||
1Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands, 2Analytical Chemistry & Chemometrics, Institute for Molecules and Materials, Nijmegen, Netherlands |
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Three-dimensional MRSI data of the prostate was analyzed with a Multivariate Curve Resolution-Alternating (MCR) approach for rapid automated localization and classification of cancer and healthy tissue. This data-driven method was used to extract common spectroscopic components without a need of prior knowledge, and compared to fitting a linear combination of prior knowledge models (LCModel). The MCR method identified components with known prostate metabolites and residual lipid and water signals Altogether, our approach can be considered as a step towards the development of an automated tool for classification of prostate MRSI spectra, avoiding subjective human intervention. |
| 827 | Computer 52
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1.5T Prostate MRI Utilizing Deep Learning Reconstruction in Patients with Hip Prosthesis |
| Melany B Atkins1, Arnaud Guidon2, Michael Vinski3, Thomas Schrack4, Heidi Harris5, and Ersin Bayram6 | ||
1Radiology, Fairfax Radiological Consultants, Arlington, VA, United States, 2GE Healthcare, Boston, MA, United States, 3GE Healthcare, Lynchburg, VA, United States, 4Fairfax Radiological Consultants, Fairfax, VA, United States, 5GE Healthcare, Waukesha, WI, United States, 6GE Healthcare, Houston, TX, United States |
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While 3T offers SNR benefits for prostate imaging, patients with hip prostheses are problematic due to susceptibility artifacts and implant heating concerns. These issues are better managed at 1.5T but 1.5T lacks the SNR versus 3T. Deep learning reconstruction (DLR) may provide the SNR boost to clear this hurdle. Feasibility of 1.5T prostate MRI with DLR in patients with hip prosthesis is explored in up to 20 subjects focusing on two key contrasts in the PI-RADS guideline: T2Wand DWI. Preliminary results suggest that 1.5T with DLR might be the preferred option for patients with hip implants. |
| 828 | Computer 53
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Fast Fitting of Luminal Water Fraction in Prostate Cancer |
| David Atkinson1, Giorgio Brembilla1, Fiona Gong1, and Shonit Punwani1 | ||
1Centre for Medical Imaging, University College London, London, United Kingdom |
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The use of a fast, direct, Luminal Water Fraction fitting technique is compared with a more commonly used iterative method on data from 76 prostate cancer patients with biopsy Gleason grade available. The fast method shows a similar Receiver Operating Characteristic Area Under the Curve (ROC-AUC) when used to classify an image region as clinically significant or non-significant cancer. |
| 829 | Computer 54
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CycleSeg-v2: Improving unpaired MR-to-CT Synthesis and Segmentation with pseudo label and LPIPS loss |
| Huan Minh Luu1, Gyu-sang Yoo2, Won Park2, and Sung-Hong Park1 | ||
1Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of, 2Department of Radiation Oncology, Samsung Medical Center, Seoul, Korea, Republic of |
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Radiotherapy treatment typically requires both CT and MRI as well as labor intensive contouring for effective planning and treatment. Deep learning can enable an MR-only workflow by generating synthetic CT (sCT) and performing automatic segmentation on the MR data. However, MR and CT data are usually unpaired and limited contours are available for MR data. In this study, we proposed CycleSeg-v2 that extends the previously proposed CycleSeg to work with unpaired data. To ensure robust training, we employed LPIPS loss in addition to pseudo label. Experiments with data from prostate cancer patients showed that CycleSeg-v2 improved upon previous approaches. |
| 830 | Computer 55
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PSMA-PET vs mpMRI in prostate cancer patients with biochemical recurrence |
| Ingerid Skjei Knudtsen1, Bendik Skarre Abrahamsen1, Kirsten Margrete Selnæs2, Mattijs Elschot1, Sverre Langorgen3, Thomas Morten Keil3, Håkon Johansen3, Helena Bertilsson4,5, Dag Linthoe Halvorsen4, Torgrim Tandstad5,6, and Tone Frost Bathen1 | ||
1Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 2Department of Nuclear Medicine and Medical Physics, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway, 3Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway, 4Department of Urology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway, 5Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway, 6Cancer Clinic, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway |
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The PSMA prostate recurrence study is a multisenter prospective trial where the overall aim is to evaluate the diagnostic accuracy of 18F/68Ga-PSMA PET for detection of disease in patients with biochemical recurrence. In this preliminary analysis, we have compared the clinical imaging report of PET/CT/mpMRI to a separate evaluation of mpMRI where the radiologist was blinded to the PET results. Of 94 patients included so far, recurrent disease and/or distant metastasis was detected in 44 % (median PSA 0.4 ng/ml), according to the imaging protocol while the detection rate was 17 % for the mpMRI study scoring. |
| 915 | Computer 35
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Feasibility of high-quality uterus DWI with segmented phase-encoding and reduced FOV |
| Yajing Zhang1, Zhigang Wu2, Xiuquan Hu3, Guangyu Jiang4, Jing Zhang3, Jiazheng Wang3, and Yan Zhao5 | ||
1MR Clinical Science, Philips Healthcare, Suzhou, China, 2Philips Healthcare (China), Shenzhen, China, 3Philips Healthcare (China), Beijing, China, 4MR Clinical Application, Philips Healthcare, Suzhou, China, 5MR R&D, Philips Healthcare, Suzhou, China |
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Diffusion-weighted imaging (DWI) of uterus has been crucial for providing useful information in differentiating pathologies such as uterine fibroids and adenomyosis. In this study, we aim to investigate the feasibility of high quality uterus DWI through a segmented phase-encoding acquisition with reduced FOV. |
| 916 | Computer 36
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Repeatability of Apparent Diffusion Coefficient Estimates of Healthy Male and Female Pelvic Tissues |
| Lauren K Fang1, Ana E Rodríguez-Soto1, Anders M Dale1,2, Christopher C Conlin1, Tyler M Seibert1,3,4, Michael E Hahn1, and Rebecca A Rakow-Penner1,4 | ||
1Radiology, University of California, San Diego, La Jolla, CA, United States, 2Neuroscience, University of California, San Diego, La Jolla, CA, United States, 3Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla, CA, United States, 4Bioengineering, University of California, San Diego, La Jolla, CA, United States |
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Establishing ADC repeatability is important for clinical translation of quantitative DWI. Pelvic ADC repeatability in healthy men and premenopausal women are not well-defined. Four men were scanned twice and six women were scanned each week of their normal 28-day menstrual cycle using a 3.0T scanner. Prostate, cervix, and uterine tissue ROIs were drawn to calculate median ADC values. Minimum reliably detectable ADC change (RC) was estimated at 16% and 11% within the prostatic peripheral and transition zones, respectively. Female reproductive tissue ADCs and repeatability varied across the menstrual cycle, with the greatest RCs displayed by endometrium (40%) and cervix (36%). |
| 917 | Computer 37
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Performance Evaluation of high resolution T2-TSE sequence based on simultaneous multi-slice (SMS) in Female Pelvis MRI |
| Hongchao Wang1, Yueluan Jiang2, Zhuo Wang1, Lei Zhang1, Zhiqing Shao1, Yang Sun1, and Xiaoye Wang3 | ||
1The First Hospital of Jilin University, Changchun, China, 2MR Scientific Marketing, Siemens Healthineers, Beijing, China, 3MR Clinical Marketing, Siemens Healthineers, Beijing, China |
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Simultaneous multi-slice (SMS) acquisition is a different option for accelerating 2D TSE MRI through the excitation of multiple slices simultaneously and is associated with much smaller SNR loss than parallel acceleration. In this study, we applied both parallel imaging and multiple slices simultaneous imaging technique to accelerate T2WI TSE of female pelvis MRI. Comparing to conventional TSE sequence, 25% of time could be reduced with more slices with thinner thickness using SMS acceleration with similar performances at 3T. SMS-PI-TSE is a feasible acceleration technique in Pelvis MRI. |
| 918 | Computer 38
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Multiple quantitative parameters diagnosis of cellular and degeneration uterine leiomyoma with non-enhancement MRI |
| Shifeng Tian1 and Ailian Liu1,2 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian Medical Imaging artificial intelligence engineering technology research center, Dalian, China |
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Results shown that several quantitative parameters of diffusion kurtosis imaging (DKI) and enhanced T2 star weighted angiography (ESWAN) sequence had different between cellular uterine leiomyoma (CUL) and degeneration uterine leiomyoma (DUL). Therefore, it is feasible to use DKI and ESWAN to distinguish CUL and DUL. |
| 919 | Computer 39
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Rapid and High Resolution Pelvic MRI Using Deep Learning Reconstruction |
| Melany B Atkins1, Arnaud Guidon2, Michael Vinski3, Thomas Schrack4, Heidi Harris5, and Ersin Bayram6 | ||
1Radiology, Fairfax Radiological Consultants, Arlington, VA, United States, 2GE Healthcare, Boston, MA, United States, 3GE Healthcare, Lynchburg, VA, United States, 4Fairfax Radiological Consultants, Fairfax, VA, United States, 5GE Healthcare, Waukesha, WI, United States, 6GE Healthcare, Houston, TX, United States |
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MRI plays an important role in pelvic assessment. For instance, it is the modality of choice for rectal cancer staging, gynecologic cancer staging, uterine fibroid evaluation and ovarian tumor characterization. Due to the complex nature of the anatomy and clinical demands of these protocols, high resolution thin slice volumetric scans are desired but low SNR, prolonged scan times and motion artifacts remain problematic. In this work, we deploy a combination of recent technical advances in particular high density flexible coils, compressed sensing, and deep learning reconstruction to tackle these challenges and report our feasibility results. |
| 920 | Computer 40
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The value of semi-quantitative parameters of Dynamic Contrast-Enhanced MRI(DCE-MRI) to predict the expression of P53 in the ovarian cancer |
| Xulun Lu1, Ye Li1, Qingling Song1, and Ailian Liu1 | ||
1First Affiliated Hospital of Dalian Medical University, Dalian, China |
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P53 is a tumor suppressor gene,TP53-mutated tumors in general have an aggressive phenotype and are characterized by poor differentiation, increased invasiveness, and high metastatic potential[1]。The early enhancement rate reflects the blood perfusion in the early enhancement stage of the lesion. Tumor exhibits a higher early enhancement rate with more abundant the blood supply of the tumor. Our study proved that the wash-in rate of ovarian cancer in the p53 positive group was higher than that in the P53 negative group. |
| 921 | Computer 41
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A Pilot Evaluation of DKI in Characteristics and Diagnosis of Ovarian Cancer of p53 Status |
| Shiqi Chen1, Yulin Chen1, Ye Li1, and Ailian Liu1 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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The identification and treatment of ovarian cancer(OC) has always been a problem that plagues us[1]. Mutations in the p53 gene showed significantly up-regulation in human OC tissues and was closely associated with the development of human OC. This work aimed at exploring the value of Diffusion kurtosis imaging (DKI) for characteristics and diagnosis of ovarian cancer of p53 status. The results showed that FA provided a promising performance (AUC =0.742 , sensitivity = 100%， specificity = 43.7%) in evaluating p53 status and OC. |
| 922 | Computer 42
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Evaluation of microsatellite instability in endometrial carcinoma by amide proton transfer imaging and diffusion kurtosis imaging |
| Shifeng Tian1, Ailian Liu1,2, Xing Meng1, Lihua Chen1, Nan Wang1, Liangjie Lin3, Geli Hu3, and Jiazheng Wang3 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian Medical Imaging artificial intelligence engineering technology research center, Dalian, China, 3Philips Healthcare, Beijing, China |
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Microsatellite instability (MSI) is one of the four types of endometrial carcinoma (EC) molecular classification based on The Cancer Genome Atlas (TCGA) [1], which refers to the high mutation load caused by the failure of EC to correct certain errors in small sequence replication due to the abnormal function of DNA mismatch repair system [2]. The purpose of this study is to explore the value of multiple quantitative parameters of APT and DKI sequences in evaluating EC MSI status. |
| 923 | Computer 43
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Application value of radiomics methods based on DTI sequence FA map for differentiating squamous cell carcinoma from cervix adenocarcinoma |
| Changjun Ma1, Shifeng Tian2, and Ailian Liu2 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian,China, China, 2Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Through high-throughput quantitative feature extraction, the imaging omics method achieves non-invasive analysis of tumor heterogeneity and improves the accuracy of imaging examination in assisting clinical decision making in tumor screening, diagnosis and prognosis prediction. This study intends to explore the value of imaging omics method based on DTI sequence FA map in differentiating CSCC and CA, and provide imaging basis for the formulation of individualized precision treatment plan for CC patients. |
| 924 | Computer 44
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The value of APTw combined with DKI for prediction of pelvic lymph node metastasis of cervical cancer |
| Xing Meng1, Ailian Liu1,2, Shifeng Tian1, Changjun Ma1, Liangjie LIN3, Qingwei Song1, Geli Hu3, and Jiazheng Wang3 | ||
1the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Dalian Medical Imaging artificial intelligence engineering technology research center, Dalian, China, 3MSC Clinical & Technical Solutions, Philips Healthcare, Beijing, China |
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Cervical cancer is one of the most common malignant cancers in pelvic cavity, and trends in young adults. This study aims to investigate the value of amide proton transfer weighted (APTw) combined with diffusion kurtosis imaging (DKI) for prediction of pelvic lymph node metastasis of cervical cancer, the accurate diagnosis of which is significant for the treatment and prognosis of cervical cancer. |
| 925 | Computer 45
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Automatic Prostate Tumor Segmentation: Does the Convolutional Neural Network Learn How the Tumor Looks, or What the Radiologist Sees? |
| Deepa Darshini Gunashekar1, Lars Bielak1,2, Benedict Oerther 3, Matthias Benndorf 3, Anca Grosu 2,3, Constantinos Zamboglou2,3, and Michael Bock 1,2 | ||
1Dept.of Radiology, Medical Physics, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 2German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany, Freiburg im Breisgau, Germany, 3Dept.of Radiology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany |
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A convolutional neural network was implemented to automatically segment tumors in multi-parametric MRI data. The influence of the variability in the ground truth data was evaluated for automated prostate tumor segmentation. Therefore, the agreement between the predictions of the CNN was measured with co-registered whole mount histopathology images and the tumor contours drawn by an expert radio-oncologist. The results indicate that the network can discriminate tumor from healthy tissue rather than mimicking the radiologist. |
| 926 | Computer 46
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VERDICT-MRI Analysis of False Positives in Prostate Mp-MRI |
| Snigdha Sen1, Vanya Valindria1, Hayley Pye2, Alistair Grey3, Aiman Haider4, Alex Freeman4, Caroline Moore3, Hayley Whitaker2, Shonit Punwani5, Saurabh Singh5, and Eleftheria Panagiotaki1 | ||
1Centre for Medical Image Computing, University College London, London, United Kingdom, 2Molecular Diagnostics and Therapeutics Group, University College London, London, United Kingdom, 3Department of Urology, University College London Hospitals NHS Foundation Trust, London, United Kingdom, 4Department of Pathology, University College London Hospitals NHS Foundation Trust, London, United Kingdom, 5Centre for Medical Imaging, University College London, London, United Kingdom |
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Mp-MRI has moderate specificity for the diagnosis of prostate cancer, resulting in many false positive results and unnecessary biopsies for patients with other prostatic diseases. This work presents an approach using VERDICT-MRI to investigate differences in microstructural parameter estimates between normal prostate tissue, false positive lesions and clinically-significant cancer. The VERDICT intracellular volume fraction and intrinsic diffusivity in the extracellular-extravascular space can discriminate false positive lesions with greater accuracy than the clinical ADC from mp-MRI. These results show VERDICT has the potential to identify false positives and reduce unnecessary biopsies in prostate patients. |
| 927 | Computer 47
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Hyperpolarized 13C Pyruvate MR-Assisted Longitudinal Risk Stratification in Prostate Cancer Patient – From Surveillance to Surgery |
| Hsin-Yu Chen1, Hao G. Nguyen2, Zhen J. Wang1, Michael A. Ohliger1, Jeffry P. Simko2, Matthew R. Cooperberg2, Daniel Gebrezgiabhier1, Lucas Carvajal1, Jeremy W. Gordon1, John Kurhanewicz1, Rahul Aggarwal2, Daniel B. Vigneron1, and Robert A. Bok1 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, United States |
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Serial hyperpolarized 13C+mpMRI and paired metabolic image-guided biopsy were employed in a new integrative active surveillance (AS) paradigm, exemplified by a patient who initially enrolled in AS for 5 years, but later underwent radical prostatectomy upon progression. Metabolic biomarker kPL images detected early progression preceding radiologic and clinical parameters. Final whole-gland histopathology also linked kPL and PI-RADS targets to multifocal tumors, where kPL spatially reflected intratumoral heterogeneity, and high kPL regions correlated with adverse pathologic features such as G4 cribriform pattern, extracapsular extension, and lymphovascular invasion. Results indicated HP 13C may help optimize AS by improving clinical risk calculation. |
| 928 | Computer 48
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Comparison of single-shot EPI DWI and multi-shot EPI DWI in prostate MRI |
| Ayumu Kido1, Akira Yamamoto1,2, Mitsuru Takeuchi3, Yu Ueda4, Jaladhar Neelavalli5, and Tsutomu Tamada1 | ||
1Radiology, Kawasaki Medical School, Kurashiki, Japan, 2Radiology, Kawasaki Medical School, Kurashiki-shi, Japan, 3Radiology, Radiolonet Tokai, Nagoya, Japan, 4Philips Japan, Tokyo, Japan, 5Philips India, Bangalore, India |
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Single-shot EPI (sshEPI) DWI still suffers from distortion and blurring. Multi-shot EPI (mshEPI) DWI called IRIS enables to reduce image distortion and blurring. A total of 142 patients with suspected prostate cancer (PC) underwent mpMRI including sshEPI DWI and IRIS under the same scan time. The image quality and diagnostic performance of the lesions were compared between sshEPI DWI and IRIS. IRIS improved image distortion and blurring compared to sshEPI DWI, and also suggested a similar or higher diagnostic performance compared to sshEPI DWI. |
| 929 | Computer 49
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Targeted Metabolomic Profiling of Blood Plasma in Aggressive Prostate Cancer Patients using NMR Spectroscopy |
| Virendra Kumar1, Pradeep Kumar1, Rajeev Kumar2, S. Datta Gupta3, Sanjay Thulkar4, N. R. Jagannathan5, and Rama Jayasundar1 | ||
1Department of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 2Department of Urology, All India Institute of Medical Sciences, New Delhi, India, 3Department of Pathology, All India Institute of Medical Sciences, New Delhi, India, 4Department of Radio-diagnosis, IRCH, All India Institute of Medical Sciences, New Delhi, India, 5Dept. of Radiology, Chettinad Academy of Research, Kelambakkam, Tamil Nadu, India |
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Gleason score (GS) is currently clinical predictor of prostate cancer (PCa) mortality. The present study investigates the metabolic profile of blood plasma for distinguishing aggressive PCa patients from non aggressive using targeted 1H-NMR metabolomics. A significantly higher concentration of lactate, pyruvate, choline, dimethylamine, glucose, betaine and lower concentration of leucine, isoleucine, valine, histidine, phenylalanine, and tyrosine were observed in patients with GS 8-10 as compared to patients with GS 7 and 6. Our results suggested that pathway alterations, amino acids, phospholipids and glucose related to PCa progression. Identifying biomarker/s associated with GS can be improved diagnosis and treatment. |
| 930 | Computer 50
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Semi-Quantitative Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Lymphangiography in the Legs of Primary Lymphoedema Patients |
| Michael Mills1, Malou Van Zanten1, Julian Pearce2, Bernard Ho2, Kristiana Gordon1,2, Peter S Mortimer1,2, Pia Ostergaard1, and Franklyn A Howe1 | ||
1St George's University of London, London, United Kingdom, 2St George's University Hospitals NHS Foundation Trust, London, United Kingdom |
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Despite its prevalence, methods for investigating lymphoedema (chronic tissue swelling due to abnormal lymphatic functioning) remain limited. Dynamic Contrast-Enhanced Magnetic Resonance Lymphangiography (DCE-MRL) allows identification of lymph vessels in both healthy and lymphoedematous limbs, however quantitative analyses are lacking. DCE-MRL data was acquired for 30 minutes in lymphoedematous (n=7) and healthy limbs (n=4), with estimates of lymphatic vessel signal characteristics compared between groups. Maximum enhancement compared to baseline was significantly increased in healthy volunteers, while other metrics were similar. Larger groups and longer imaging sessions are likely required to detect additional differences. |
| 931 | Computer 51
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Integrative Hyperpolarized 13C Metabolic and Standard-of-Care Abdominopelvic Staging/Restaging MRI for Patients with Advanced Solid Tumors |
| Hsin-Yu Chen1, Michael A. Ohliger1, Zhen J. Wang1, Mary E. Frost1, Lucas Carvajal1, Philip M. Lee1, Jeremy W. Gordon1, John Kurhanewicz1, Peder E.Z. Larson1, Robert A. Bok1, Rahul Aggarwal2, and Daniel B. Vigneron1 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, United States |
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Harnessing unique metabolic insight from hyperpolarized (HP) 13C MRI, this study describes an integrated approach toward routine cancer staging and restaging using combined HP 13C plus standard of care (SOC) MRI with commercially-available 13C and 1H array coils and a time-efficient adaptive protocol. A series of patients with osseous, liver, nodal metastases, and locally advanced primary tumors suggested HP 13C not only detected high metabolic activity in progressive tumors, but it also revealed inter- and intratumoral metabolic heterogeneity. Results indicated HP 13C-MRI can greatly complement SOC-MRI in assessing therapeutic response and guiding clinical decisions. |
| 932 | Computer 52
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B0 inhomogeneity in the abdominal subcutaneous fat at 3T |
| Aidan Tollefson1, Nate Roberts1, Ali Pirasteh1,2, and Diego Hernando1,2 | ||
1Medical Physics, University of Wisconsin, Madison, WI, United States, 2Radiology, University of Wisconsin, Madison, WI, United States |
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B0 inhomogeneities often lead to failures in chemical shift-based fat suppression, particularly in complex susceptibility environments such as the abdomen. To optimize the application of fat suppression, characterization of B0 inhomogeneities in fat regions is needed. However, such characterization has not been reported for abdominal fat. Therefore, the purpose of this work was to measure the magnitude and variability of B0 inhomogeneity at 3T in abdominal subcutaneous fat. This study shows that several subcutaneous fat regions exhibit B0 inhomogeneities large enough to induce failures in common fat suppression methods. These measurements may guide future optimization of fat suppression methods. |
| 1395 | Computer 19
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A multi-channel deep learning approach for lung cavity estimation from hyperpolarized gas and proton MRI |
| Joshua R Astley1,2, Alberto M Biancardi2, Helen Marshall2, Paul JC Hughes2, Guilhem J Collier2, Laurie J Smith2, James Eaden2, François-Xavier Blé3, Rod Hughes4, Jim M Wild2,5, and Bilal A Tahir1,2 | ||
1Oncology and Metabolism, University of Sheffield, Sheffield, United Kingdom, 2POLARIS, Sheffield, United Kingdom, 3Translational Science and Experimental Medicine, Research and Early Development, Respiratory & Immunology, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom, 4Clinical Development, Research and Early Development, Respiratory & Immunology, AstraZeneca, Cambridge, United Kingdom, 5Insigneo Institute for in silico medicine, University of Sheffield, Sheffield, United Kingdom |
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Functional lung imaging biomarkers, such as the ventilated defect percentage, are computed from segmentations derived from spatially co-registered functional hyperpolarized gas MRI and structural 1H-MRI. Although hyperpolarized gas and 1H-MRI can be acquired in the same or similar breaths, the acquired scans are frequently misaligned. Here, we propose a multi-channel deep learning-based approach to generate accurate lung cavity estimations (LCEs). Across all evaluation metrics, the multi-channel approach significantly outperformed single-channel approaches and generated plausible LCEs across a wide range of pulmonary pathologies. In addition, correlation and Bland-Altman analyses of lung volumes demonstrated strong correlation and minimal bias with expert LCEs. |
| 1396 | Computer 20
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Deep learning-based synthesis of hyperpolarized gas MRI ventilation from 3D multi-inflation proton MRI |
| Joshua R Astley1,2, Alberto M Biancardi2, Helen Marshall2, Malina-Maria Tofan1, Laurie J Smith2, Paul JC Hughes2, Guilhem J Collier2, Matthew Q Hatton1,3, François-Xavier Blé4, Rod Hughes5, Jim M Wild2,6, and Bilal A Tahir1,2 | ||
1Oncology and Metabolism, University of Sheffield, Sheffield, United Kingdom, 2POLARIS, Sheffield, United Kingdom, 3Clinical Oncology, Weston Park Cancer Centre, Sheffield, United Kingdom, 4Translational Science and Experimental Medicine, Research and Early Development, Respiratory & Immunology, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom, 5Clinical Development, Research and Early Development, Respiratory & Immunology, AstraZeneca, Cambridge, United Kingdom, 6Insigneo Institute for in silico medicine, University of Sheffield, Sheffield, United Kingdom |
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Hyperpolarized gas MRI can visualize and quantify regional lung ventilation with exquisite detail, but clinical uptake is limited to a few centres worldwide. Alternative, non-contrast techniques have been proposed to image ventilation, including 1H-based surrogates of ventilation from multi-inflation 1H-MRI. Recently, deep learning has shown potential for generating synthetic images in multiple modalities within the lung image analysis field. We propose a 3D multi-channel deep learning approach to synthesize hyperpolarized gas MRI and assess its quantitative performance using several common image synthesis metrics across a large, diverse dataset of lung pathologies using 5-fold cross-validation. |
| 1397 | Computer 21
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Improved 3D stack-of-spiral UTE pulmonary imaging at 0.55T using iterative concomitant field and motion corrected reconstruction (iCoMoCo) |
| Ahsan Javed1, Rajiv Ramasawmy1, Joel Moss2, Waqas Majeed3, Pan Su3, Thomas Benkert4, Himanshu Bhat3, Ashkan Malayeri5, and Adrienne E. Campbell-Washburn1 | ||
1Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 2Pulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, 3Siemens Medical Solutions USA Inc, Malvern,, PA, United States, 4Siemens Healthcare GmbH, Erlangen, Germany, 5Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, United States |
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Lung MRI using a high-performance 0.55T system offers reduced susceptibility artifacts, but high resolution imaging is challenged by low proton density, reduced signal-to-noise ratio, and concomitant-fields. 3D spiral acquisitions can be used for improved efficiency and SNR, at the expense of concomitant field related blurring. We present a self-gated, ultra-short echo time, stack-of-spirals acquisition with an efficient inline iterative reconstruction (<15 min) that incorporates both concomitant-field and motion-correction to enable robust high-resolution lung imaging at 0.55T. Our optimized and efficient imaging method is applied to improve image quality in healthy volunteers, patients with lung nodules, and patients with lymphangioleiomyomatosis (LAM). |
| 1398 | Computer 22
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3D Pulmonary Perfusion Mapping Using 3D Ultrashort Echo-time Imaging |
| Hyeonha Kim1, Seokwon Lee2, Jinil Park3, and Jang-Yeon Park1,2 | ||
1Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwan, Korea, Republic of, 2Department of Biomedical Engineering, Sungkyunkwan University, Suwan, Korea, Republic of, 3Biomedical Institute for Convergence at SKKU, Sungkyunkwan University, Suwon, Korea, Republic of |
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Lung MRI is getting more interest as an alternative to CT because of no radiation exposure and expands its role of providing structural information to functional information such as ventilation and perfusion. In terms of 3D functional imaging, 3D ventilation mapping was already proposed, but few studies have been done on 3D perfusion mapping. Here, we propose a 3D pulmonary perfusion map using 3D UTE-MRI with retrospective respiratory and cardiac gating. The proposed method provides high-resolution 3D regional perfusion information of the lungs and will be useful for diagnosing diffusive lung diseases along with ventilation map (e.g., V/Q ratio). |
| 1399 | Computer 23
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Variation of Proton Lung Signal with Ventilation at 3T |
| Zachary Peggs1, Jonathan Brooke2, Andrew Cooper1, Charlotte Bolton2, Ian Hall2, Susan Francis1, and Penny Gowland1 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2The Nottingham Biomedical Research Centre (BRC), Respiratory Medicine Dept, School of Medicine, University of Nottingham, Nottingham, United Kingdom |
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The nature of MR signal variations during healthy ventilation at 3T were explored in 8 healthy participants. Fourier decomposition (FD) techniques were used to remove cardiac signal contributions, and the phase, correlation coefficient and gradient of the parenchyma signal with respect to diaphragm signal were found. This analysis showed that for some voxels, the relationship between parenchyma signal and diaphragm signal is distinctly non-linear. Also, that breathing pattern is an important confounding factor when using the diaphragmatic movement as a surrogate for the change in lung volume, where an additional measure such as a separate 3D acquisition may prove beneficial. |
| 1400 | Computer 24
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Introducing a correction method for XTC imaging to isolate exchange by compartment |
| Tahmina Achekzai1, Luis Loza1, Stephen Kadlecek1, Kai Ruppert1, Faraz Amzajerdian1, and Rahim Rizi1 | ||
1University of Pennsylvania, Philadelphia, PA, United States |
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HP-Xe Xenon Transfer Contrast (XTC) imaging produces exchange maps between gas (GP) and red blood cell (RBC) and tissue plasma (TP). However, it is difficult to separate the effects of exchange between RBC or TP due to unintended depolarization by the saturation pulse. We introduce a correction method to isolate exchange due to either compartment. The correction method measures depolarization due to saturation at a distance Δ, —the separation between the DP resonances—away from the compartment’s resonance frequency. The corrected maps generated here show that greater correction is needed for discrete pulses and higher power pulses. |
| 1401 | Computer 25
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Influence of group-oriented registration on functional ventilation parameters derived by 3D phase-resolved functional lung ventilation MRI |
| Filip Klimeš1,2, Andreas Voskrebenzev1,2, Marcel Gutberlet1,2, Cristian Crisosto1,2, Robert Grimm3, 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), Member of the German Centre for Lung Research (DZL), Hannover, Germany, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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Demonstration of a high repeatability is a mandatory step prior to the usage of new methods in clinical routine. Good to moderate repeatability of 3D phase-resolved functional lung (PREFUL) MRI was shown before. In this study, group-oriented registration (GOREG) was compared to stepwise registration regarding the repeatability of 3D PREFUL ventilation parameters in 30 study participants. Furthermore, image sharpness and structural similarity (SSIM) were assessed. An increased repeatability of dynamic 3D PREFUL ventilation parameters was observed using the GOREG approach. Also, image sharpness and SSIM values were significantly higher for measurements assessed with GOREG registration. |
| 1402 | Computer 26
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Feasibility of phase resolved functional lung imaging (PREFUL) with ultrashort echo time sequence (PUTE) |
| Lea Behrendt1,2, Marcel Gutberlet1,2, Andreas Voskrebenzev1,2, Filip Klimeš1,2, Arnd Obert1,2, Agilo Luitger Kern1,2, 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 imaging (PREFUL) allows the contrast-free quantification of pulmonary ventilation and perfusion dynamics in free breathing. Typically, it is used in conjunction with cartesian spoiled gradient echo sequence (SPGRE) with asymmetric echo. Due to the short T2* times in lung tissue, acquiring signal with echo times as low as possible is essential. Therefore, a 2D ultrashort echo time sequence with a TE of 0.07ms was developed and tested in the PREFUL context in one healthy volunteer. A similar visual impression of derived ventilation maps was found with UTE and SPGRE. However, ventilation defects were more pronounced for UTE. |
| 1474 | Computer 24
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Multi-parametric 18-FDG PET/MRI in predicting lung cancer lymphatic metastasis |
| Fangfang Fu1, Meng Nan2, Yaping Wu1, Zhun Huang3, Yan Bai1, Pengyang Feng3, Ting Fang2, Jianmin Yuan4, Yang Yang5, Haiyan Gao1, and Meiyun Wang1 | ||
1Henan Provincial People's Hospital & People's Hospital of Zhengzhou University, Zhengzhou, China, 2Zhengzhou University People's Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 3Henan University People's Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, 4Central Research Institute, Beijing, China, 5Beijing United Imaging Research Institute of Intelligent Imaging, Beijing, China |
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It is meaningful to predict lymph node status of lung cancer before surgery. In the study, 18F-FDG PET/MRI were used to obtain PET metabolic parameters, multi-model DWI and APTWI parameters for predicting LNM of lung cancer. Our results showed that multiparametric PET/MRI is helpful in predicting lymph node status before surgery. 18F-FDG hybrid PET/MRI enables a robust diagnosis ability of LNM of lung cancer when several multi-model DWI parameters, PET metabolic parameters and APT parameter are combined. Thus, integrated PET/MRI can help to characterize LNM before surgery. |
| 1475 | Computer 25
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TNM and VALSG Stage Assessments in SCLC: Diagnostic Capability Comparison among PET/MRI, PET/CT, Whole-Body MRI and Conventional Examination |
| Yoshiharu Ohno1,2, Masao Yui3, Kaori Yamamoto3, Daisuke Takenaka4, Takeshi Yoshikawa4, Saki Takeda5, Akiyoshi Iwase5, Yuka Oshima1, Nayu Hamabuchi1, Satomu Hanamatsu1, Yuki Obama1, Hiroyuki Nagata1, Takahiro Ueda1, Hirotaka Ikeda1, Kazuhiro Murayama2, and Hiroshi Toyama1 | ||
1Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 2Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan, 3Canon Medical Systems Corporation, Otawara, Japan, 4Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan, 5Radiology, Fujita Health University Hospital, Toyoake, Japan |
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Whole-body MRI and co-registered or integrated PET combined with MRI (PET/MRI) using 1.5 T or 3T MR systems has been suggested as equal to or more accurate than PET/CT or conventional staging or recurrence surveillance methods in thoracic oncologic patients. We hypothesize that whole-body MRI and co-registered PET/MRI for SCLC patients have equal to or superior potential for VALSG and TNM stage assessments than PET/CT and conventional staging method. The purpose of this study was to prospectively compare the capabilities for assessing VALSG and TNM stages among whole-body MRI, PET/MRI, PET/CT and conventional staging method in SCLC patients. |
| 1476 | Computer 26
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CEST Imaging vs. DWI vs. FDG-PET/CT: Therapeutic Effect Prediction for Chemoradiotherapy in Non-Small Cell Lung Cancer Patients |
| Yoshiharu Ohno1,2, Masao Yui3, Daisuke Takenaka4, Takeshi Yoshikawa4, Kaori Yamamoto3, Masato Ikedo3, Saki Takeda5, Akiyoshi Iwase5, Satomu Hanamatsu1, Yuki Obama1, Hiroyuki Nagata1, Takahiro Ueda1, Hirotaka Ikeda1, Kazuhiro Murayama2, and Hiroshi Toyama1 | ||
1Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 2Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan, 3Canon Medical Systems Corporation, Otawara, Japan, 4Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan, 5Radiology, Fujita Health University Hospital, Toyoake, Japan |
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We hypothesize that CEST imaging has a potential for therapeutic effect prediction in NSCLC patients treated with chemoradiotherapy and may be at least as valuable as DWI and FDG-PET/CT. Moreover, combined predictors may improve therapeutic effect prediction capability, when compared with single predictor from MRI or PET/CT. The purpose of this study was to compare the capability of therapeutic effect prediction for chemoradiotherapy among CEST imaging, DWI, FDG-PET/CT and combined predictors from MRI and PET/CT in NSCLC patients. |
| 1477 | Computer 27
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Dark Blood, Susceptibility-Insensitive 3D Unbalanced Steady-State Free Precession: A Potential New Approach for Lung Cancer Screening |
| Robert R Edelman1,2, Bradley Allen2, Nondas Leloudas1, Jianing Pang3, and Ioannis Koktzoglou1,4 | ||
1Radiology, NorthShore University HealthSystem, Evanston, IL, United States, 2Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 3Siemens Medical Solutions USA, Chicago, IL, United States, 4Radiology, Pritzker School of Medicine, University of Chicago, Chicago, IL, United States |
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We recently described the feasibility of using a prototype 3D unbalanced steady-state free precession (3D uSSFP) pulse sequence for dark blood imaging. We sought to determine whether this technique could be adapted for dark blood, susceptibility-insensitive imaging of the lungs. A breath-hold, ECG-gated version of 3D uSSFP was implemented for a pilot study of healthy volunteers and patients. Initial results suggest that 3D uSSFP allows efficient volumetric imaging of the lungs and can demonstrate even small lung nodules without artifacts. With further development, the technique could provide a radiation-free alternative to low-dose CT for lung cancer screening. |
| 1478 | Computer 28
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Improving reconstruction quality in non-contrast-enhanced functional lung imaging via LORAKS |
| Efe Ilicak1, Safa Ozdemir1, Lothar R. Schad1, Jascha Zapp1, and Frank G. Zöllner1,2 | ||
1Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany, 2Mannheim Institute for Intelligent Systems in Medicine, Heidelberg University, Mannheim, Germany |
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Functional lung imaging is of great importance for diagnosis and follow-up of prevalent lung diseases. To this end, novel pulse sequences and post-processing techniques have been previously proposed to assess pulmonary functions. However, one overlooked aspect has been the parallel imaging reconstruction. Here, we propose the use of an advanced reconstruction scheme based on Low-Rank Modeling of Local k-Space Neighborhoods (LORAKS). In vivo results are provided to demonstrate the performance of LORAKS compared to commonly used GRAPPA reconstructions. Preliminary results indicate that LORAKS can be a viable option for improving reconstruction quality in pulmonary functional imaging. |
| 1479 | Computer 29
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Motion Compensation in Pulmonary Ultra-short Echo Time MRI: Preliminary Results in Neonatal Bronchopulmonary Dysplasia |
| Luis A. Torres1, Nara S. Higano2,3,4, Deep Gandhi4, Chamindu Gunatilaka2, Jason C. Woods2,3,4, and Sean B. Fain5 | ||
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Division of Pulmonary Medicine, Cincinnati Children’s Medical Center, Cincinnati, OH, United States, 3Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States, 4Department of Radiology, Cincinnati Children’s Medical Center, Cincinnati, OH, United States, 5Department of Radiology, University of Iowa, Iowa City, IA, United States |
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Self-gating of free breathing pulmonary MR images remains challenging due to inconsistent tidal breathing and bulk motion especially in neonatal patients. We evaluate several conventional and advanced retrospective motion compensation techniques in neonatal subjects with lung disease of prematurity. Registration-based techniques show a significant improvement in signal to noise ratio and contrast to noise ratio relative to other motion compensation methods. There were no significant changes in sharpness across the cohort. We conclude that registration-based techniques could be used to improve image quality without loss of sharpness. |
| 1480 | Computer 30
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Use of Phase Resolved Functional Lung Imaging (PREFUL) to Assess Response to Kaftrio® Therapy in Cystic Fibrosis |
| Zachary Peggs1, Jonathan Brooke2, Shahidehalsadat Safavi3,4, Andrew Prayle5,6, Christabella Ng5,6, Jan Alappadan1, Christopher Bradley1, Andrew Cooper1, Samal Munidasa7,8, Brandon Zanette8, Giles Santyr7,8, Helen Barr9, Alan R Smyth5,6, Ian Hall2, Susan Francis1, and Penny Gowland1 | ||
1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2The Nottingham Biomedical Research Centre (BRC), Respiratory Medicine Dept, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 3The Toronto Lung Transplant Program, University Hospital Network, Toronto, ON, Canada, 4Respirology Medicine Dept, University of Toronto, Toronto, ON, Canada, 5School of Medicine, University of Nottingham, Nottingham, United Kingdom, 6Nottingham NIHR Biomedical Research Centre, Nottingham, United Kingdom, 7The Hospital for Sick Children, Toronto, ON, Canada; Dept. of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 8The Hospital for Sick Children, Toronto, ON, Canada, University of Toronto, Toronto, ON, Canada, 9The Wolfson Centre for Adult Cystic Fibrosis, Nottingham City Hospital, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom |
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Phase resolved functional lung imaging (PREFUL) was carried out before and 12 weeks after commencement of Kaftrio® therapy in a small Cystic Fibrosis (CF) group, and in healthy controls (HC). No significant differences were found in measures characterising the PREFUL signal between HC and CF, or before and after Kaftrio® therapy. This could be explained by the small sample size or lack of age matching. It was found that fractional ventilation measures with PREFUL can be sensitive to subjective thresholding and the method of image registration. Also, the impact of irregular breathing patterns, especially in patients, should be further explored. |
| 1481 | Computer 31
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Oxygen-enhanced MRI of the lung at 3 tesla: R2* contrast in smokers and non-smokers |
| Mina Kim1, Josephine H. Naish2,3, Marta Tibiletti2, Sarah H. Needleman1, Adam Szmul1, David M. Higgins4, James P. B. O’Connor5,6, and Geoff J. M. Parker1,2 | ||
1Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom, 2Bioxydyn Limited, Manchester, United Kingdom, 3BHF Manchester Centre for Heart and Lung Magnetic Resonance Research (MCMR), Manchester University NHS Foundation Trust, Manchester, United Kingdom, 4Philips, Farnborough, United Kingdom, 5Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom, 6Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom |
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T1-weighted dynamic lung OE-MRI is challenging at 3 T using gradient echo acquisitions due to decreased T1 relaxivity of oxygen and substantial ∆R2* contribution. We implemented a dual echo T1-FFE-based method at 3 T and evaluated signal enhancement behaviour and ∆R2*. The proposed method is shown to produce negative contrast on oxygen enhancement signal due to dominance of ∆R2* at TE larger than 0.4 ms. We also demonstrated that the contrast property of the percentage signal enhancement (PSE) is TE dependent. Longer TE enables differentiation on PSE values between non-smokers and smokers. |
| 1482 | Computer 32
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Examining lung microstructure using 19F MR diffusion imaging in COPD patients |
| Arnd Jonathan Obert1,2, Marcel Gutberlet1,2, Agilo Luitger Kern1,2, Till Frederik Kaireit1,2, Julian Glandorf1,2, Tawfik Moher Alsady1,2, Frank Wacker1,2, Jens M. Hohlfeld2,3,4, and Jens Vogel-Claussen1,2 | ||
1Institute for 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, 4Department of Clinical Airway Research, Fraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany |
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Diffusion of fluorinated gas in the short-time regime was measured using multiple gradient echo sequences with a single pair of trapezoidal gradient pulses. Pulmonary alveolar surface-to-volume ratio (S/V) was calculated using a first-order approximation of the time-dependent diffusion in a study with 20 healthy volunteers and 22 patients with chronic obstructive pulmonary disease (COPD). Median surface-to-volume ratio is significantly decreased in COPD patients compared to healthy volunteers (P<.0001). No significant difference was found between measurements within 7 days. Linear correlations were found with S/V from hyperpolarized 129Xe MRI (r=0.85, P=.001) and the forced expiratory volume in one second (r=0.68, P<.0001). |
| 1483 | Computer 33
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PREFUL-MRI evaluation of dynamic hyperinflation induced by metronome-paced tachypnea in COPD patients |
| Robin A. Müller1,2, Filip Klimeš1,2, Andreas Voskrebenzev1,2, Lea Behrendt1,2, Till F. Kaireit1,2, Cristian Crisosto1,2, Maximilian Zubke1,2, Martin R. Prince3,4, Christopher C. Cooper5, R. Graham Barr6, Jens M. Hohlfeld7,8, 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 Radiology, Weill Cornell Medical College, New York, NY, United States, 4Department of Radiology, Columbia College of Physicians and Surgeons, New York, NY, United States, 5Exercise Physiology Research Laboratory, Departments of Medicine and Physiology, David Geffen School of Medicine, UCLA, Los Angeles, CA, United States, 6Division of General Medicine, Department of Medicine, New York-Presbyterian/Columbia University Irving Medical Center, New York, NY, United States, 7Department of Respiratory Medicine, Hannover Medical School, Hannover, Germany, 8Fraunhofer Institute of Toxicology and Experimental Medicine, Hannover, Germany |
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Metronome-paced tachypnea (MPT) is a technique where a patient breathes with a fixed frequency (40 breaths / minute). MPT induces dynamic hyperinflation and allows investigation of potential stress-driven effects on ventilation parameters. Fourteen patients with chronic obstructive pulmonary disease (COPD) underwent phase-resolved functional lung (PREFUL) MRI with 2D coronal lung MR images acquired during normal tidal breathing (NTB) and MPT. Compared to NTB, ventilation defect percentages increased in COPD patients during MPT. Thus, MPT in conjunction with PREFUL-MRI will be further investigated as a possible sensible ventilation test for COPD patients. |
| 1484 | Computer 34
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Imaging biomarkers of ventilation in Interstitial Lung Disease from 129Xe and Oxygen Enhanced 1H MRI |
| Marta Tibiletti1, James A Eaden2, Jo Naish1,3, Paul JC Hughes2, John C Waterton1,4, Matthew J Heaton1, Nazia Chaudhuri5, Sarah Skeoch6, Ian N Bruce7,8, Stephen A Bianchi9, Jim M Wild2,10, and Geoff JM Parker1,11 | ||
1Bioxydyn Ltd, Manchester, United Kingdom, 2POLARIS, University of Sheffield MRI unit, The University of Sheffield, Sheffield, United Kingdom, 3MCMR, Manchester University NHS Foundation Trust, Manchester, United Kingdom, 4Centre for Imaging Sciences, University of Manchester, Manchester, United Kingdom, 5North West Lung Centre, Manchester University NHS Foundation Trust, Manchester, United Kingdom, 6Royal National Hospital for Rheumatic Diseases, Royal United Hospitals Bath NHS Foundation Trust, Bath, United Kingdom, 7NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester, United Kingdom, 8Centre for Musculoskeletal Research, University of Manchester, Manchester, United Kingdom, 9Academic Directorate of Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom, 10nsigneo Institute for in silico Medicine, Sheffield, United Kingdom, 11Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom |
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Interstitial lung diseases (ILD) are a heterogeneous group of conditions exhibiting inflammation and scarring of the lung parenchyma. Here, we compare imaging biomarkers from hyperpolarised 129Xe ventilation MRI and oxygen-enhanced MRI (OE-MRI) with standard pulmonary function tests in cohorts of ILD patients with mixed origins. We also evaluated whether disease resolution or progression could be detected over two visits. None of the imaging biomarkers considered completely differentiated ILD subtypes. OE-MRI biomarkers are feasible in ILD patients and do not correlate strongly with PFT. Both OE-MRI and 129Xe MRI revealed spatially heterogeneous ventilation in patients with DI-ILD and IPF. |
| 1485 | Computer 35
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Dynamic Changes in Lung Water Density and Volume with Changes in Body Position |
| David Thomas Goodhart1, Justin Grenier1, Rob Stobbe1, Peter Seres1, and Richard Thompson1 | ||
1The Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada |
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We aim to describe the dynamic response of the distribution of lung water to the change in position from standing to supine. An efficient UTE MRI trajectory (Yarnball) provided 3D images (free-breathing, 74 seconds acquisition) in 3 volunteers, with 10 repeated scans over ~14 minutes. Lung water density (LWD) increased over time but total lung water content remained constant, consistent with a measured decrease in lung volume over time. LWD increased by a larger extent towards the back, suggesting a larger lung volume reduction in gravity dependent regions (the back) over time. Steady-state LWD was not achieved in 14 minutes. |
| 1588 | Computer 43
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Mammography-like MR images using a preconditioned water-fat-silicone total field inversion QSM algorithm |
| Christof Boehm1, Jonathan K. Stelter1, Jakob Meineke2, Stefan Ruschke1, Kilian Weiss3, Mingming Wu1, Tabea Borde1, Marcus R. Makowski1, Eva M. Fallenberg1, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany, 2Philips Research, Hamburg, Germany, 3Philips GmbH Market DACH, Hamburg, Germany |
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Early stage malignant tumors are often accompanied by microcalcifications. X-ray-based mammography examinations are routinely used for screening and early detection due to the excellent contrast of calcified structures. However, due to the damaging nature of x-ray radiation, the use of an MR-based technique would be desirable for repeated examinations. In this work, we present initial results of quantitative-susceptibility-mapping-based (QSM) mammography-like MR-images that show robust detection of calcifications down to the resolution of the MR scan. Furthermore, the proposed method accounts for the potential presence of silicone breast implants allowing robust QSM in proximity to silicone implants for the first time. |
| 1589 | Computer 44
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Towards Automated Scan Volume Placement for Breast MRI Using a Deep Neural Network |
| Timothy J Allen1, Leah C Henze Bancroft2, Ersin Bayram3, Lloyd Estkowski4, Pingni Wang5, Ty A Cashen6, and James H Holmes7 | ||
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3GE Healthcare, Houston, TX, United States, 4GE Healthcare, Waukesha, WI, United States, 5GE Healthcare, Menlo Park, CA, United States, 6GE Healthcare, Madison, WI, United States, 7Radiology, University of Iowa, Iowa City, IA, United States |
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We investigate the use of a deep neural network to automatically position imaging volumes for breast MR exams. The axial localizer images and scan volume information from a variety of MR scanners were used to train a deep neural network to replicate the clinical technologists’ placement. The average intersection over union between clinical placement and neural network predicted placement was 0.46 ± 0.21. The distance between volume centers was 7.4 cm on average and as low as 1.1 cm. These results show promise for improving consistency of imaging volume placement in breast MRI. |
| 1590 | Computer 45
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Inter-reader variability in apparent diffusion coefficient measurements for assessment of breast cancer response to neoadjuvant therapy |
| Nu N. Le1, Wen Li1, Natsuko Onishi1, David Newitt1, Jessica Gibbs1, Lisa Wilmes1, John Kornak2, Savannah C. Partridge3, Elissa Price1, Bonnie N. Joe1, Laura Esserman2, and Nola M. Hylton1 | ||
1Radiology, UCSF, San Francisco, CA, United States, 2UCSF, San Francisco, CA, United States, 3University of Washington, Seattle, WA, United States |
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This study presents a retrospective analysis of inter-reader variability in tumor ADC measurements extracted from three types of ROIs using data from the multi-center I-SPY 2 trial. Overall, good agreement was observed between two readers. Mean ADCs measured in restricted ROIs were highly reproducible by manual delineation. Mean ADCs of multi-slice restricted ROIs showed higher ICCs than single-slice restricted ROIs. |
| 1591 | Computer 46
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Magnetic Resonance Elastography for Early Assessment of Response to Neoadjuvant Chemotherapy in Women with Breast Cancer |
| Patriek Jurrius1,2, Omar Darwish3,4,5, Daniel Fovargue3, Belul Shifa6, Karen Welsh7, Joanna Bell7, Sarah-Jane Hamilton7, John Spence7, Giacomo Annio4, Renee Miller3, Marian Troelstra3, Ashutosh Kothari2, Hisham Hamed2, Georgina Bitsakou2, Ali Sever8, Sultana Hasso8, Yasmin Giambrone8, Isaac Daimiel Naranjo8, Katerina Ntailiani8, Keshthra Satchithananda9, Sarah Willson8, Sarah Pinder1,10, Anne Rigg11, David Nordsletten3, Radhouene Neji3,5, Tony Ng1, Arnie Purushotham1,2, and Ralph Sinkus3,4 | ||
1School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom, 2Oncoplastic breast surgery, Guy's & St. Thomas' NHS Foundation Trust, London, United Kingdom, 3School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 4Inserm U1148, LVTS, University Paris Diderot, Paris, France, 5MR Research Collaborations, Siemens Healthcare Ltd., Frimley, United Kingdom, 6Oncology and Haematology Clinical Trials, Guy's & St. Thomas' NHS Foundation Trust, London, United Kingdom, 7MRI department, Guy's & St. Thomas' NHS Foundation Trust, London, United Kingdom, 8Breast Radiology, Guy's & St. Thomas' NHS Foundation Trust, London, United Kingdom, 9Breast Radiology, King's College Hospital NHS Foundation, London, United Kingdom, 10Histopathology, Guy's & St. Thomas' NHS Foundation Trust, London, United Kingdom, 11Medical Oncology, Guy's & St. Thomas' NHS Foundation Trust, London, United Kingdom |
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Approximately one-third of women with breast cancer undergoing neoadjuvant chemotherapy (NACT) have no discernible disease response to their treatment yet are subjected to the potential side-effects of their treatment. Currently, response to NACT is assessed by determining tumour size, contrast avidity, and lymph node involvement on MRI pre-, mid- and post-treatment. As a result, women undergo 3-4 cycles of NACT with unknown efficacy. Changes in a tumour’s biomechanics as assessed by magnetic resonance elastography (MRE) after only one cycle of NACT correlate with response to treatment, allowing for early assessment of a patient’s response to NACT. |
| 1592 | Computer 47
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Monitoring the response of breast tumors to neoadjuvant chemotherapy using multimodal magnetic resonance and optical imaging – a case study |
| Bin Deng1,2,3, Ailis Muldoon1,2, Pedro Itriago4, Wei-Ching Lo5, Mansi Saksena2,3, Samuel Patz3,6, Ralph Sinkus7, Steven J. Isakoff3,8, and Stefan A. Carp1,2,3 | ||
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Siemens Medical Solutions, Houston, TX, United States, 5Siemens Medical Solutions, Boston, MA, United States, 6Department of Radiology, Brigham and Women’s Hospital, Boston, MA, United States, 7Laboratory for Vascular Translational Science (LVTS), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France, 8Cancer Center, Massachusetts General Hospital, Boston, MA, United States |
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Functional imaging is advantageous in monitoring neoadjuvant chemotherapy (NACT) since changes in tumor physiology manifest earlier than actual tumor shrinkage. We leveraged a custom breast coil for multimodal T1, DWI, MRE, and near-infrared optical imaging to evaluate the response of breast tumors to NACT. In this case study of a patient who achieved pathologic complete response, concordant changes in tumor size, ADC, stiffness and total hemoglobin concentration have been observed. This multiparametric approach could help us gain a comprehensive understanding of the multitude of simultaneous physiological changes in tumors related to microenvironment, angiogenesis, and metabolism as a result of NACT. |
| 1593 | Computer 48
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Predicting response to neoadjuvant therapy using tumor morphologic features on breast MRI |
| Wen Li1, Rohan Nadkarni1, David C Newitt1, Natsuko Onishi1, Jessica Gibbs1, Lisa J Wilmes1, Bonnie N Joe1, Efstathios D Gennates2, John Kornak2, Mark Magbanua3, Laura van't Veer3, Barbara LeStage4, I-SPY 2 Consortium5, Laura J Esserman6, and Nola M Hylton1 | ||
1Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, United States, 3Laboratory Medicine, University of California, San Francisco, San Francisco, CA, United States, 4I-SPY 2 Advocacy Group, San Francisco, CA, United States, 5Quantum Leap Healthcare Collaborative, San Francisco, CA, United States, 6Surgery, University of California, San Francisco, San Francisco, CA, United States |
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Functional tumor volume (FTV) has been used to longitudinally assess tumor response to neoadjuvant therapy longitudinally in I-SPY trials. Previously, we found that a single 3D shape feature, sphericity, is associated with pathologic complete response (pCR). In this study, we expanded the analysis by including all radiomic shape features in an elastic net model and evaluated their role in prediction of pCR in the multi-center I-SPY 2 trial. Our results showed that the model with shape features outperformed the models with FTV or sphericity alone. |
| 1594 | Computer 49
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How much earlier did MRI detect breast cancer than mammography in the DENSE trial? |
| Keith S Cover1 | ||
1., Amsterdam, Netherlands |
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The current analysis found MRI screening in the DENSE trial detected invasive breast cancers about 6 years earlier than mammography. The calculation is based on first and second round invasive cancer detection rates. The 6 years is also consistent with the trial’s high false positive rate in the second round that used “prior” first round exams to estimate lesion growth over the 2 years between rounds. The “how much earlier” measure provides an additional means for comparing the relative performance of breast cancer screening modalities. |
| 1595 | Computer 50
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Assessment of the Diagnosis Value of Diffusion Tensor Imaging and Fractional Anisotropy Value in Peripheral Prostate Cancer based on PI-RADS v2 |
| Zhiqiang Chen1, Na Song1, Dan Zhang1, Zhuo Wang1, Shaoru Zhang1, Yuhui Xiong2, Aijun Wang1, Bing Chen1, and Lei Cai1 | ||
1Radiology, The Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, China, 2GE Healthcare, MR Research China, Beijing, Beijing, China |
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In this retrospective study, we aim to explore the diagnostic values of diffusion tensor imaging (DTI) in peripheral prostate cancer, and compare DTI with diffusion weighted imaging (DWI) based on prostate imaging reporting and data system version 2 (PI-RADS v2) in peripheral prostate cancer (PCa). It was concluded that both DWI and DTI have high values in the diagnosis and differentiation of PCa, and DWI& dynamic contrast enhanced (DCE) MRI has higher diagnostic efficiency than DTI&DCE-MRI according to PI-RADS v2. |
| 1679 | Computer 48
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Discrimination Between Benign and Malignant Lesions in the Breast with Restriction Spectrum Imaging on a Screening Breast MRI Cohort |
| Stephane Loubrie1, Ana Rodriguez-Soto1, Lauren Fang1, Christopher Conlin1, Maren MS Andreassen2, Tyler Seibert1,3,4, Michael Hahn1, Vandana Dialani5,6, Catherine J Wei7, Zahra Karimi5, Joshua Kuperman1, Anders Dale1,8, Etta Pisano5,9, and Rebecca Rakow-Penner1,4 | ||
1Radiology, UCSD, San Diego, CA, United States, 2Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 3Radiation medecine, UCSD, San Diego, CA, United States, 4Bioengineering, UCSD, San Diego, CA, United States, 5Beth Israel Hospital, Boston, MA, United States, 6Harvard Medical School, Bosston, MA, United States, 7Commonwealth Radiology Associates, Boston, MA, United States, 8Neurosciences, UCSD, San Diego, CA, United States, 9American college of radiology, Reston, VA, United States |
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Diffusion weighted imaging (DWI) holds great potential in improving specificity of findings detected on contrast enhanced breast MRI. Restriction spectrum imaging (RSI), an advanced diffusion imaging model, has potential in discriminating between malignant and fibroglandular breast tissue. In this abstract, we evaluate RSI’s performance in differentiating malignant from benign lesions in a prospective study performed on a breast screening population. All lesions were biopsy proven. The breast RSI model allowed discrimination between malignant, high-risk and low-risk benign lesions and healthy fibroglandular tissue. |
| 1680 | Computer 49
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In vivo mapping of sodium relaxation times in breast fibroadenoma at 7T |
| Carlotta Ianniello1,2, Ryan Brown1,2, Linda Moy1,2,3, Justin Fogarty1, Freya Schnabel3,4, Deborah Axelrod3,4, and Guillaume Madelin1,2 | ||
1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 2Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States, 3Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY, United States, 4Department of Surgery, New York University Grossman School of Medicine, New York, NY, United States |
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Sodium (23Na) MRI has been employed to measure the total sodium concentration (TSC) in breast lesions, which is often elevated compared to healthy breast. The knowledge of the 23Na relaxation times of the breast, which could be subject to variations in lesions, could increase the accuracy of TSC estimation. In this work we measured the 23Na relaxation times in six fibroadenoma patients and found a 71% increase in T2,s and a 28% decrease in T1 in the lesions compared to healthy tissue. Therefore, using healthy breast relaxation times in TSC quantification could result in errors in lesions. |
| 1681 | Computer 50
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Breast DTI: A Prospective Study in Individuals Referred for Biopsy of Indeterminate Breast Lesions |
| Jacob S Ecanow1, David B Ecanow2, Nondas Leloudas1, Bradley Hack1, and Pottumarthi V Prasad2 | ||
1NorthShore University HealthSystem, Evanston, IL, United States, 2Radiology, NorthShore University HealthSystem, Evanston, IL, United States |
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We present preliminary data from an ongoing study in individuals referred for biopsy of BIRADS 3, 4, and 5 breast lesions based on mammography, ultrasound, and/or screening MRI. DTI data was acquired using single shot EPI with 30 different directions and 2 mm isotropic resolution. MRI data was analyzed using BIT-Motion software. All cancers showed low ADC and λ1 values compared to control regions. FA, consistent with prior reports showed minimal difference and so did (λ1-λ3). |
| 1682 | Computer 51
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Influence of breast biopsy clips on diffusion weighted MRI of the breast |
| Christian Kremser1, Birgit Amort1, and Martin Daniaux1 | ||
1Dept. of Radiology, Medical University of Innsbruck, Innsbruck, Austria |
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Patients undergoing breast MRI frequently have metallic biopsy clips placed within or adjacent to the lesion, producing metallic artifacts, which could lead to misinterpretation. The aim of our study was to investigate the extent of the artifact of four different clips commonly used in our hospital on diffusion-weighted images obtained with a readout-segmented sequence (RESOLVE) and their influence on ADC maps. It is found that artifacts vary in shape and size between different clips, DWI images and ADC-maps. For the marker with the smallest artifact the minimum size of detectable lesion seems to be approximately 10mm. |
| 1683 | Computer 52
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Automated breast segmentation using deep-learning in water-fat breast MRI: application to breast density assessment |
| Arun Somasundaram1, Mingming Wu1, Tabea Borde1, Marcus R. Makowski1, Eva M. Fallenberg1, Yu Zhao2, and Dimitrios C. Karampinos1,3 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2AI Lab, Tencent, Shenzhen, China, 3Munich Institute of Biomedical Engineering, Technical University of Munich, Munich, Germany |
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Conventional methods for semi-automatic and rule-based breast segmentation on MR images have a tradeoff between accuracy and segmentation speed. To overcome this, several 2D-deep learning approaches have been proposed, which usually focus on using T1-weighted images to train their models. Our aim is to train a 3D-network for breast segmentation, trained on water-fat MR images, which can be used to measure the breast density based on the proton density fat fraction (PDFF). We show that our model segments both fast and accurately, and can visually outperform our ground truth segmentations while requiring only a few seconds to generate labels. |
| 1684 | Computer 53
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Sodium Breast Imaging of Ductal Carcinomas at 3 T |
| Joshua D Kaggie1, Gabrielle C Baxter1, Mary A McLean1,2, Ramona Woitek1, Ferdia A Gallagher1,2, Andrew D James3,4, Aneurin J Kennerley4,5, Rolf F Schulte6, William J Brackenbury3,5, and Fiona J Gilbert1 | ||
1Radiology, University of Cambridge, Cambridge, United Kingdom, 2Cambridge Institute, Cancer Research UK, Cambridge, United Kingdom, 3Biology, University of York, York, United Kingdom, 4York Biomedical Research Institute, University of York, York, United Kingdom, 5Chemistry, University of York, York, United Kingdom, 6GE Healthcare, Munich, Germany |
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Sodium (23Na)-MRI was performed using a dual-tuned bilateral 23Na/1H breast coil on seven patients with ductal carcinoma, one patient with lobular carcinoma, and ten normal volunteers. Several patients had [23Na] measurements that were 2-3 times higher than the mean normal fibroglandular [23Na] measurements. There were no strong correlations between 23Na-MRI and either DCE or DWI measurements in the patients. These measurements suggest that [23Na] may provide an additional physiological imaging mechanism of breast cancer. |
| 1685 | Computer 54
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Variability of ADC Estimates Between-Scanners from Whole Body Imaging is Dominated by Within-Scanner Variance |
| Alistair Lamb1, Alan Bainbridge2, Tom Parry3, Harriet Rogers4, Stuart A Taylor3, Hui Zhang5, and Anna Barnes6 | ||
1Department of Medical Physics & Biomedical Engineering, University College London, London, United Kingdom, 2Department of Medical Physics and Biomedical Engineering, University College London Hospitals NHS Foundation Trust, London, United Kingdom, 3Centre for Medical Imaging, University College London, London, United Kingdom, 4Institute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, United Kingdom, 5Centre for Medical Image Computing, University College London, London, United Kingdom, 6King's Technology Evaluation Centre, King’s College London, London, United Kingdom |
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We investigate the reliability of Whole-Body Imaging ADC estimates from subjects tested and retested within- and between-scanners from different vendors with minimal differences in acquisition protocol and post-acquisition analysis. We show substantial within-subject variation in extracranial ADC estimates within- and between-scanners as measured by Limits of Agreement. We additionally show between-scan variability between scanners is dominated by between-scan variability within a scanner. Furthermore, averaging across subsequent within-scanner examinations does not substantially improve reliability of ADC estimates. We therefore conclude a post-acquisition method for reducing within-scanner variation is required to improve the reliability of ADC estimates. |
| 1936 | Computer 31
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Diagnostic performance of histological fibrous capsule and pseudocapsule (a false-positive fibrous capsule) in hepatocellular carcinoma |
| Atsushi Higaki1, Akira Yamamoto1, Takeshi Fukunaga1, Hirotake Nishimura2, Akihiko Kanki1, and Tsutomu Tamada1 | ||
1Radiology, Kawasaki Medical School, Kurashiki, Japan, 2Pathology, Kawasaki Medical School, Kurashiki, Japan |
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We used contrast-enhanced MRI and CT to evaluate the diagnostic potential of histological fibrous capsule and pseudocapsule in HCC. 51.4% (36/70) of HCCs had capsules, and pseudocapsule was found in 35.3% (18/51) of lesions with enhancing capsule imaging. Among the various imaging features, T1WI low signal rim, arterial phase low signal capsule, enhancing capsule on MRI and CT, and tumor margin enlargement sign on HBP were useful in diagnosing fibrous capsules. Among these, tumor margin enlargement sign on HBP showed the highest accuracy for the diagnosis of capsule, and was the only finding that could diagnose pseudocapsule. |
| 1937 | Computer 32
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SENSE and Compressed SENSE chemical shift encoded multi-gradient echo for T2* quantification in the liver |
| Elisabeth Sarah Pickles1,2, John Connell2, Stella Nay Kyi Kin2, Alison Telford2, Arina Kazimianec2, Michael Brady2, Daniel Bulte1, Oi Fong Chong3, Han Jun Choo4, Sulaiha Binte Ithnin5, Jason Pik Eu Chang6, Guan Huei Lee7, Marianne Anastasia De Roza8, Kok Kiong Ong9, Sabrina Yi-Mei Wee10, Kee Tung Tan11, Ngiap Chuan Tan12, Han Chong Toh13, Yu Jun Wong14,15, Wei Lyn Yang16, Xin Yi Yeap17, Cheryl Min En Chua18, Jacelyn Siou Sze Chua18, Jade Shu Qi Goh18, Lynette Soh Han Lai18, Yu Ki Sim18, and Pierce K.H. Chow19,20 | ||
1Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom, 2Perspectum Ltd, Oxford, United Kingdom, 3SingHealth Polyclinic - Bedok, Singapore, Singapore, 4SingHealth Polyclinic - Sengkang, Singapore, Singapore, 5SingHealth Polyclinic - Tampines, Singapore, Singapore, 6Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore, Singapore, 7Division of Gastroenterology and Hepatology, National University Hospital, Singapore, Singapore, 8Department of Gastroenterology and Hepatology, Sengkang General Hospital, Singapore, Singapore, 9SingHealth Polyclinic - Outram, Singapore, Singapore, 10SingHealth Polyclinic - Bukit Merah, Singapore, Singapore, 11SingHealth Polyclinic - Marine Parade, Singapore, Singapore, 12SingHealth Polyclinic - Pasir Ris, Singapore, Singapore, 13Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore, 14Department of Gastroenterology & Hepatology, Changi General Hospital, Singapore, Singapore, 15Duke-NUS Medical School, Singapore, Singapore, 16Gastroenterology and Hepatology, Tan Tock Seng Hospital, Singapore, Singapore, 17SingHealth Polyclinic - Punggol, Singapore, Singapore, 18Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore, 19Department of Hepato-pancreato-biliary and Transplant Surgery, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore, 20Surgery Academic Clinical Programme, Duke-NUS Medical School, Singapore, Singapore |
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T2*, measured using 3D breath-hold chemical shift encoded multi-gradient echo can be used to estimate liver iron concentration. The breath-hold duration (typically 10-20 s) with traditional parallel imaging acceleration techniques such as Sensitivity Encoding (SENSE) can be difficult for patients. Compressed SENSE (C-SENSE) can be used to decrease acquisition time. We compare T2* obtained with SENSE and C-SENSE in 21 patients. We found that C-SENSE acquisition was faster (9 s vs 18 s), with strong correlation and agreement with SENSE. Our findings suggest C-SENSE may potentially improve patient tolerance and turnover speed for T2* acquisitions when compared to SENSE. |
| 1938 | Computer 33
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Clinical value of MRI-detected extramural vascular invasion in predicting distant metastasis of rectal cancer |
| Tang Cui1, Jinming Xu2, Moubin Lin3, Shixiong Qiu4, Xiaoming Zuo4, Mengxiao Liu5, and Peijun Wang6 | ||
1Yangpu Hospital, School of Medicine, Tongji University,, shang hai, China, 2Department of Radiology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, shang hai, China, 3Department of General Surgery, Yangpu Hospital, Tongji University School of Medicine, Shanghai, Shanghai, China, 4Department of Radiology, Yangpu Hospital, Tongji University School of Medicine, Shanghai, Shanghai, China, 5MR Scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd., Shanghai, Shanghai, China, 6Department of Radiology, Tongji Hospital, Tongji University School of Medicine, Shanghai, Shanghai, China |
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The results of the present study suggest that there was a significant difference in the occurrence of distant metastasis between RC patients with or without mrEMVI, CRM invasion, regional LN metastasis, and MR peritoneal reflex involvement. And mrEMVI and regional LN metastasis were independent risk factors for distant metastasis of rectal cancer. Therefore, MRI can be used to observe the status of EMVI before surgery, which is helpful for the formulation of individualized treatment plans for rectal cancer and assessment of prognosis. |
| 1939 | Computer 34
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The value of diffusion kurtosis imaging texture analysis in predicting treatment response to transcatheter arterial chemoembolization in HCC |
| Chen Qiao1, Ailian Liu1, Ying Zhao1, Qingwei Song1, Xin Li 1, Yan Guo2, and Tingfan Wu2 | ||
1the First Affiliated Hospital of Dalian Medical University, DaLian, China, 2Philips Healthcare, BeiJing, China |
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This work aimed at texture analysis based on mean apparent diffusion coefficient (MD) of diffusion kurtosis imaging (DKI) to evaluate the treatment efficacy of transcatheter arterial chemoembolization (TACE) in hepatocellular carcinoma (HCC). The results showed that MD texture features can differentiate objective response and non-response groups. When using the single parameter, the GreyLevelNonuniformity_angle135_offset1 achieved the best result (AUC: 0.714, sensitivity: 68.2%, specificity: 81%). In the combined diagnosis of multiple parameters, FrequencySize,MaxIntensity, GreyLevelNonuniformity_angle0_offset1 and GreyLevelNonuniformity_angle135_offset1 were combined to obtain the best combined diagnosis（AUC：0.760，sensitivity: 81.8%, specificity: 66.7%). |
| 1940 | Computer 35
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MRI Correlation with Liver Explant Pathology: LIRADS Treatment Response Algorithm for Residual HCC After Y-90 Therapy |
| Matthew Harwood1, Parth Parikh2, Alexander Clinkenbeard1, Sailen Naidu3, Marcela Salomao4, and Alvin Silva1 | ||
1Radiology, Mayo Clinic Arizona, Phoenix, AZ, United States, 2Mayo Clinic Alix School of Medicine, Arizona, Scottsdale, AZ, United States, 3Interventional Radiology, Mayo Clinic Arizona, Phoenix, AZ, United States, 4Pathology, Mayo Clinic Arizona, Phoenix, AZ, United States |
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The liver imaging and reporting data system treatment response algorithm (LIRADS TRA) for CT and MRI has been used to predict residual viable tumor after treatment with yttrium-90 (Y-90). This single-center cohort of 20 patients were reviewed using the LIRADS TRA assessing residual viable tumor following Y-90 therapy. Pathology of subsequent liver explants was the reference standard. The LIRADS TRA predicted positive treatment effect (nonviable): NPV 82.4% (95% CI 0.47-1.55), accuracy 75% (72.0-89.4). The results of this preliminary study will need further validation in a larger, similar, pathologic-confirmed cohort. |
| 1941 | Computer 36
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Does Functional Parameters from Gadoxetic Acid–enhanced MRI Predict Decompensation in Cirrhosis? |
| Xueqin ZHANG1, Tao ZHANG1, Lei XU1, and Xiance ZHAO2 | ||
1Affiliated Nantong Hospital 3 of Nantong University, Nantong, China, 2Philips Healthcare, Shanghai, China |
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We used Look-Locker sequences to acquire T1 mapping images pre and post-contrast at 20 minutes after gadoxetic acid administration. Liver-to-spleen contrast index (LSI), contrast uptake index (CUI), relative liver enhancement (RLE), hepatocyte fraction (HeF), T1 relaxation times on unenhanced phase (T1unenh), T1 relaxation times on hepatobiliary phase (T1HBP), reduction rates of T1 relaxation times (rrT1), and the functional liver imaging score (FLIS) of the liver were measured and calculated by two radiologists independently. Our study showed that LSI, CUI, HeF, T1HBP, rrT1 and FLIS based on gadoxetic acid–enhanced MRI are help for the evaluation of liver function. |
| 1942 | Computer 37
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Radiomics assessment of liver fibrosis in patients with chronic liver disease using MRI: a machine learning approach |
| Farzin Mobayyyen1,2, Behrooz Taghvainia3, Hassan Homayoun2, Ali Abbasian Ardakani4, Anahita Fathi Kazerooni2, Hanieh Mobarak Salari2, Nasser Rakhshani5, Hamidreza Salighehrad1,2, and Hamid Reza haghighatkhah6 | ||
1Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), Tehran, Iran (Islamic Republic of), 2Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 3Shahid Beheshti University of Medical Science, Tehran, Iran (Islamic Republic of), 4Department of Radiology Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran (Islamic Republic of), 5Gastrointestinal and Liver Disease Research Center, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran (Islamic Republic of), 6Department of Diagnostic Imaging, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Science, Tehran, Iran (Islamic Republic of) |
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Neither biochemical markers nor a qualitative assessment of medical images are reliable to differentiate mild from moderate stages of liver fibrosis. The main purpose of this study is to develop a machine learning model to classify mild and moderate liver fibrosis based on radiomic features extracted from MRI images (T1-w, T2*-map & ADC-map). Nu-SVC classifier was employed as the classification technique, trained by the extracted data from image series of 29 patients with histopathology-confirmed mild and moderate liver fibrosis. Results demonstrate that radiomic analysis of T2*-map and ADC-map has high potential in classifying different stages of liver fibrosis. |
| 2032 | Computer 22
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Acceleration of chemical shift encoding-based water-fat imaging for pancreatic proton density fat fraction mapping in a single breath-hold |
| Selina Rupp1, Mingming Wu1, Jessie Han1, Kilian Weiss2, Johannes M Peeters3, Christina Holzapfel4, Marcus M Makowski1, Daniela Junker1, and Dimitrios C Karampinos1 | ||
1Technical University of Munich, München, Germany, 2Philips GmbH Market Dach, Hamburg, Germany, 3Philips Healthcare, Best, Netherlands, 4Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, München, Germany |
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With rising prevalence of obesity and metabolic syndrome comes an increasing demand of noninvasive detection of nonalcoholic fatty pancreas disease. Chemical shift encoding-based water-fat separation based on a multi-echo gradient echo acquisition enables pancreatic fat fraction (PDFF) mapping. The pancreas is a small organ and requires high spatial resolution which results in prolonged breath-hold duration for PDFF mapping. The present work aims to accelerate high-resolution single-breath-hold pancreas PDFF mapping using a methodology combining sparse sampled acquisitions with compressed sensing and deep learning reconstructions. |
| 2033 | Computer 23
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Value of high b-value computed diffusion-weighted imaging in intraductal papillary mucinous neoplasia of the pancreas |
| Felix N. Harder1, Kilian Weiss2, Eva Jung1, Omar Kamal1, Sean McTavish1, Anh T. Van1, Markus M. Graf1, Ihsan E. Demir3, Veit Phillip4, Helmut Friess3, Roland M. Schmid4, Fabian K. Lohöfer1, Marcus R. Makowski1, Georgios A. Kaissis1, Dimitrios C. Karampinos1, and Rickmer F. Braren1 | ||
1Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany, 2Philips GmbH Market DACH, Hamburg, Germany, 3Department of Surgery, Technical University of Munich, School of Medicine, Munich, Germany, 4Department of Medicine II, Technical University of Munich, School of Medicine, Munich, Germany |
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The incidence of intraductal papillary mucinous neoplasms (IPMN), which represent a potential precursor of pancreatic cancer, is increasing. We herein investigate the potential of computed high b-value diffusion-weighted imaging (cDWI) in detection and stratification of IPMN. cDWI at b = 1000 s/mm2 increases lesion detection rates as well as diagnostic sensitivity and specificity regarding the presence of malignant imaging features. Combining cDWI and high-resolution reduced field-of-view imaging further increases diagnostic accuracy. cDWI seems particularly promising in view of the need for non-invasive lesion detection and characterization due to the recent paradigm shift from surgery to active surveillance of IPMN. |
| 2034 | Computer 24
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Machine learning-based texture analysis of IVIM-DKI for classification of benign and malignant pancreatic masses |
| Archana Vadiraj Malagi1, Sivachander Shivaji2, Devasenathipathy Kandasamy2, Pramod Garg3, Siddhartha Datta Gupta4, Shivanand Gamanagatti 2, Raju Sharma2, 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 Gastroenterology, All India Institute of Medical Sciences Delhi, New Delhi, India, 4Department of Pathology, 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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Tumor heterogeneity could be detected non-invasively utilizing textural indicators from IVIM-DKI, which have a high potential for early prognosis of pancreatic lesions. A novel technique was investigated for tumor prediction model utilizing IVIM-DKI with total variation penalty function, in which we employed combinations of texture characteristics from IVIM-DKI parameters. In this study, texture characteristics of the kurtosis(k) parameter had the high accuracy:93% and AUC:1, and combinations of all IVIM-DKI parameters' textural features after feature reduction had accuracy:84% and AUC:0.91 for classifying benign and malignant pancreatic lesions. Whole-volumetric texture analysis of IVIM-DKI can be employed for characterization of pancreatic lesions. |
| 2035 | Computer 25
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Pancreatic iron is a marker of cardiovascular complications in sickle cell disease |
| Antonella Meloni1, Laura Pistoia1, Massimiliano Missere2, Riccardo Righi3, Antonino Vallone4, Ada Riva5, Vincenzo Positano1, Luciana Rigoli6, Francesco Massei7, Valentina Carrai8, Gianna Alberini1, Filippo Cademartiri1, and Alessia Pepe1 | ||
1Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy, 2Gemelli Molise SpA, Fondazione di Ricerca e Cura "Giovanni Paolo II", Campobasso, Italy, 3Ospedale del Delta, Lagosanto (FE), Italy, 4Azienda Ospedaliera "Garibaldi" Presidio Ospedaliero Nesima, Catania, Italy, 5Ospedale “SS. Annunziata” ASL Taranto, Taranto, Italy, 6Policlinico "G. Martino", Messina, Italy, 7Azienda Ospedaliero Universitaria Pisana, Pisa, Italy, 8Azienda Ospedaliero - Universitaria Careggi, Firenze, Italy |
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We systematically explored the link between pancreatic iron detected by the T2* Magnetic Resonance Imaging technique and cardiovascular complications in a cohort of 63 patients with sickle cell disease (SCD). Patients with cardiovascular complications (supraventricular arrhythmias, heart failure, pulmonary hypertension, myocardial infarction, deep vein thrombosis, leg ulcers) showed significantly lower global pancreas T2* values than patients free of cardiovascular complications but comparable global heart T2* values. Pancreatic iron overload (T2*<26 ms) was associated with 7.5 times higher odds of cardiovascular complications. |
| 2036 | Computer 26
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1H-MRS of bile in the gallbladder in subjects without and with hepatic steatosis |
| Jürgen Machann1,2,3, Norbert Stefan2,3,4, Andreas L Birkenfeld2,3,4, and Fritz Schick1 | ||
1Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany, 22. Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, University of Tübingen, Tübingen, Germany, 33. German Center for Diabetes Research (DZD), Tübingen, Germany, 44. Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, University Hospital Tübingen, Tübingen, Germany |
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1H-MRS of bile was performed in 54 healthy subjects at increased risk for metabolic diseases. Additionally, intrahepatic lipids (IHL) were quantified. Concentration of main peaks of bile was calculated in relation to non-suppressed water signal. Large interindividual differences in concentration of the bile-peaks with significantly lower concentrations in subjects with increased IHL were detected. Males show a tendency towards higher concentrations in all bile-peaks as well as in IHL (n.s.). It remains speculative, whether or not these MRS-derived results might play a role in the pathogenesis of insulin resistance – further analyses with assignable metabolic and laboratory data are recommended. |
| 2037 | Computer 27
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Distortion Correction in Abdominal DW-MRI using Dual-Echo EPI for Improved Evaluation of Crohn’s Disease |
| Cemre Ariyurek1, Onur Afacan1, and Sila Kurugol1 | ||
1Radiology, Boston Children's Hospital and Harvard Medical School, Boston, MA, United States |
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In MR enterography, diffusion-weighted MRI (DW-MRI) is commonly used to evaluate Crohn’s disease (CD). Echo-planar imaging (EPI) used in DW-MRI suffers from geometric distortion due to time-varying susceptibility field changes in the bowel. Hence, we implemented a DW-MRI sequence using a dual-echo EPI with opposing encoding polarities. Thus, the distortion field can be estimated dynamically and corrected retrospectively. The proposed method was evaluated in DW-MRI data acquired on suspected CD patients by visually and quantitatively assessing distortion corrected volumes based on anatomical similarity with T2-HASTE and uncertainty of estimated diffusion parameters of the intravoxel incoherent motion model. |
| 2038 | Computer 28
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Quantification of The Comb Sign in Crohn’s Disease Using Time of Flight Magnetic Resonance Angiography |
| Iyad Naim1,2, Caroline Hoad2,3, Gordon Moran1,2, and Penny Gowland2,3 | ||
1School of Medicine, University of Nottingham, Nottingham, United Kingdom, 2National Institute of Health Research, Nottingham Biomedical Research Centre (BRC) at Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham, United Kingdom, 3School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom |
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Crohn’s disease (CD) is an inflammatory bowel disease affecting 115k people in the UK. The ‘Comb Sign’ describes increased vascularity and arborization of vessels in the mesentery, due to intestinal inflammation. Radiologists observe this sign on cross-sectional imaging as an indication for CD, but it has never been quantified. We used time of flight MR angiography to visualize the vessels in the abdomen without using contrast agents. Images were analyzed using in-house developed software that traces vessels and counts branching points. Scans from 15 healthy volunteers(HV) and 6 CD patients showed patients had more vessel branching points compared to HV. |
| 2039 | Computer 29
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The feasibility of DCE-MRI in presurgical evaluation of tumor budding grade in rectal cancer |
| Wenjun Hu1, Anliang Chen2, Wan JUN Dong2, Xiwei JUN Li2, Yue Wang2, Yuhui Liu2, and Ailian Liu1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2The First Affiliated Hospital of Dalian Medical University, Dalian, China |
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Tumor budding (TB) is a histopathologic characteristic which has led to a growing interest in the prognosis prediction of cancers of various sites. Preoperative prediction of TB status may help personalize treatment in rectal cancer cancer patients. Previous studies showed MRI-based and PET/CT based radiomics can predict TB status, however, the high cost and complex post-processing limit their clinical applications. Dynamic contrast-enhanced (DCE) MRI has been extensively evaluated aggressiveness of rectal cancer. Results of this study indicate Kep values can effectively differentiate high from intermediate-low grade TB. |
| 2040 | Computer 30
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MRI Tagging of Colonic Contents in Healthy Subjects: Reliability of the Measurement with Time |
| Meshari T Alshammari1,2, Luca Marciani1, Gordon W. Moran1, and Caroline L. Hoad3,4 | ||
1Translational Medical Sciences and National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham, United Kingdom, 2Department of Diagnostic Radiology, College of Applied Medical Sciences, University of Hail, Hail, Saudi Arabia, 3NIHR Nottingham Biomedical Research Centre (BRC), Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham, United Kingdom, 4Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom |
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We aimed to investigate the temporal variation of the MR colonic tagging technique to measure mixing of colonic contents following a water based laxative drink by acquiring multiple scans on healthy participants. The study results indicate that time did not influence the measurement of colonic content mixing, however the scans were variable over the 10 minute acquisition window which suggests multiple scans are needed to accurately assess this parameter. Multiple measurements of this non-invasive technique can be used in future studies that aim to look at bowel motility and treatment response of IBD patients, using the same water-based laxative. |
| 2041 | Computer 31
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Gastric emptying whilst upright |
| Hannah Askill 1, Emily Gaudoin1, Dipendra Jayantilal Mistry1, Olivier Mougin1, Caroline Hoad1,2, Hayfa Sharif1,2, Luca Marciani1,2, and Penny A Gowland1,2 | ||
1Sir Peter Mansfield Imaging Centre,, University of Nottingham, Nottingham, United Kingdom, 2Nottingham Biomedical Research Centre, Nottingham, United Kingdom |
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Gastric accommodation and gastric tone are key measure in functional diseases such as gastroparesis, dyspepsia, and even reflux. Whilst gastric accommodation has been assessed using conventional MRI such measures will have been be perturbed by the subject lying supine. Gastric tone is either assessed using a barostat or pressure sensors. This work investigate the gastric response to a meal in the upright position with the aim of analysing the data to study accommodation and markers of tone in future. |
| 2042 | Computer 32
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Systemic metabolic dysregulation common across multiple organs caused by cancer and cancer-induced cachexia |
| Raj Kumar Sharma1, Santosh K. Bharti1, Paul T Winnard1, Marie-France Penet1, and Zaver M. Bhujwalla1,2,3 | ||
1Division of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Analysis of organ metabolism with cancer growth can unravel systemic changes that occur with cancer and with cancer-induced cachexia. Cancer-induced cachexia, commonly observed with pancreatic cancer, causes tissue wasting, intolerance to chemotherapy, and poor quality of life. Here, we identified alterations of metabolic pathways in the spleen, liver, pancreas, lung, heart, brain and kidney following growth of cachexia-inducing and non-cachexia inducing pancreatic cancer xenografts. These results highlight the systemic metabolic changes that occur with cancer and with cancer induced cachexia that may lead to the development of organ-based early biomarkers as well to organ-based metabolic treatment strategies. |
| 2284 | Computer 20
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Optimal Transport driven Cycle-consistent Generative Adversarial Network (OT-CycleGAN) for an accurate MR water-fat separation |
| Juan Pablo Meneses1,2,3, Cristobal Arrieta1,2, Gabriel della Maggiora1,2, Pablo Irarrazaval1,2,3,4, Cristian Tejos1,2,3, Marcelo Andia1,2,5, Sergio Uribe1,2,5, and Carlos Sing Long1,2,4,6,7 | ||
1Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 2ANID – Millennium Science Initiative Program – Millennium Nucleus for Cardiovascular Magnetic Resonance, Santiago, Chile, 3Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 4Institute for Biological and Medical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 5Radiology Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile, 6Institute for Mathematical & Computational Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile, 7ANID – Millennium Science Initiative Program – Millennium Nucleus for Discovery of Structure in Complex Data, Santiago, Chile |
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MRI water-fat separation is an ill-posed inverse problem usually addressed using complex numerical methods. This problem is related to an MR signal physical model that includes the effects of R2* signal decay ratio and main magnetic field inhomogeneities (Δf), which induce non-linearities that are related to the ill-posedness of the inverse problem. In this work, we propose an Optimal Transport driven Cycle-consistent Generative Adversarial Networks (OT-CycleGAN) framework, which is physics-based, and could use partially labeled training data to estimate the non-linear components (R2* and Δf), and posteriorly compute the water-fat images through a conventional least-squares approach. |
| 2285 | Computer 21
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Confidence Maps for Reliable Proton Density Fat-Fraction Estimation in the Presence of Low SNR |
| Jayse M Weaver1,2, Nathan T Roberts2,3, Diego Hernando1,2, and Scott B Reeder1,2,4,5,6 | ||
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Electrical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 4Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 5Medicine, University of Wisconsin-Madison, Madison, WI, United States, 6Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States |
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Chemical-shift-encoded MRI (CSE-MRI) is an established technique to estimate proton density fat-fraction (PDFF) as a quantitative imaging biomarker of hepatic steatosis. However, due in part to low flip angle acquisitions, CSE-MRI acquisitions often have low SNR leading to biased and noisy PDFF measurements. Unreliable PDFF measurements are particularly problematic considering clinically relevant PDFF thresholds may be as low as 3-5%. There are currently no methods to gauge the reliability of PDFF measurements. We propose a method for generating color-coded CSE-MRI estimation confidence maps, using a normalized residual metric to determine PDFF measurement reliability. |
| 2286 | Computer 22
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Isotropic resolution volumetric liver T2 mapping using a free-breathing navigator-gated radial stack-of-stars T2-prepared Dixon acquisition |
| Mark Zamskiy1, Kilian Weiss2, Felix N. Harder1, Stefan Ruschke1, Marcus R. Makowski1, Rickmer F. Braren1, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany, 2Philips GmbH Market DACH, Hamburg, Germany |
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Volumetric liver T2-mapping is of interest in the characterization of focal lesions and diffuse disease but remains technically challenging due to respiratory motion. The present work introduces a novel T2-prepared (T2prep) radial stack-of-stars two-point Dixon gradient echo sequence (T2prep-SoS-Dixon-TFE) for achieving motion-robust 3D isotropic T2-mapping in navigator-gated scans using a B0/B1-insusceptible modified adiabatic BIR-4 RF-pulse for T2prep. T2-mapping is performed via dictionary matching to Bloch simulations for the Dixon-decomposed water signal. The proposed method enables motion-robust liver fat confounder-free volumetric T2 quantification in better agreement with MRS compared to GraSE and may improve the clinical applicability of free-breathing abdominal T2-mapping. |
| 2287 | Computer 23
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Simultaneous T1, T2, and T2* Mapping of the Liver in a Single Breath Hold Using Multi Inversion Spin and Gradient Echo |
| Mary Kate Manhard1,2, Amol S. Pednekar1,2, Hui Wang1,2,3, Jean A. Tkach1,2, and Jonathan R. Dillman1,2 | ||
1Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States, 3Clinical Science, Philips Healthcare, Cincinnati, OH, United States |
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Parametric mapping aids in the non-invasive evaluation and longitudinal monitoring of diffuse chronic liver disease. Commercially available parametric mapping techniques require multiple scans over multiple breath-holds. A multi-inversion spin and gradient echo (MI-SAGE) method is presented to simultaneously estimate T1, T2, and T2* at six slice locations in the liver in a single 16s breath-hold. In five volunteers, the MI-SAGE method produced parametric values comparable to those obtained using modified Lock Locker (T1), multiple gradient and spin echo (T2), and multiple gradient echo (T2*) sequences. MI-SAGE offers the potential to significantly shorten the duration of the quantitative MR liver exams. |
| 2288 | Computer 24
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Variable density Poisson disc acquisition with iterative deep learning reconstruction for highly accelerated 3D T1-weighted abdominal imaging |
| Ty A Cashen1, Sangtae Ahn2, Uri Wollner3, Graeme McKinnon4, Isabelle Heukensfeldt Jansen2, Rafi Brada3, Dan Rettmann5, Xucheng Zhu6, and Ersin Bayram7 | ||
1GE Healthcare, Madison, WI, United States, 2GE Research, Niskayuna, NY, United States, 3GE Research, Herzliya, Israel, 4GE Healthcare, Waukesha, WI, United States, 5GE Healthcare, Rochester, MN, United States, 6GE Healthcare, Menlo Park, CA, United States, 7GE Healthcare, Houston, TX, United States |
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3D T1-weighted gradient echo imaging is a key component of the MRI assessment of the abdomen, particularly for the identification and characterization of liver tumors, however, significant acceleration is necessary to consistently mitigate respiratory motion artifact. A variable density Poisson disc undersampled acquisition with a densely connected iterative deep convolutional neural network reconstruction was developed to provide next-generation acceleration up to a factor of 10. On retrospectively undersampled data, the technique outperformed compressed sensing reconstruction in terms of normalized mean-squared error and structural similarity; with a prospectively undersampled scan, the technique maintained image quality in terms of artifact and contrast. |
| 2289 | Computer 25
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Advanced reconstruction provides improved image quality and enables shorter breath-holds in contrast-enhanced liver imaging |
| David Stockton1, Mihaela Rata1,2, Francesca Castagnoli1, Joshua Shur1, Georgina Hopkinson1, Alison Macdonald1, Marcel Dominik Nickel3, Stephan Kannengiesser3, Dow-Mu Koh1,2, and Jessica M Winfield1,2 | ||
1MRI Unit, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 2Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, 3MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany |
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An advanced reconstruction method, which employs a neural network trained on high resolution data to conduct interpolation, combined with iterative denoising, was applied in contrast-enhanced liver imaging in patients receiving a hepatocyte-specific contrast agent. The advanced reconstruction provides improved image quality, with better contrast-to-noise ratio, vessel edge sharpness, and lesion edge sharpness compared with the standard reconstruction using zero-filling interpolation without advanced reconstruction. The improvement in image quality was also observed in faster acquisitions (lower phase resolution), thus enabling shorter breath-hold acquisitions. |
| 2290 | Computer 26
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L-carnitine Supplementation used as a Tool for Detecting Hepatic Flexibility of Acetylcarnitine using 1H Magnetic Resonance Spectroscopy. |
| Dragana Savic1, Ferenc E. Mózes1, Peregrine G. Green1, Matthew K. Burrage1, Gabrielle Allen2, Timothy James2, Leanne Hodson1, Stefan Neubauer1, Michael Pavlides1, and Ladislav Valkovič1 | ||
1University of Oxford, Oxford, United Kingdom, 2Oxford University Hospitals, Oxford, United Kingdom |
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This study investigated the in vivo effects on acetylcarnitine levels in the liver after an injection of L-carnitine. L-carnitine facilitates transport of fatty acids into the mitochondria. We show that a single injection of L-carnitine modulated acetylcarnitine levels in the liver and that it modulated several blood markers in the healthy volunteer. Further studies are needed to understand the plasma metabolic changes observed with L-carnitine supplementation. |
| 2291 | Computer 27
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Test-retest reliability of in-vivo 31P MRSI of the whole human liver at 7 Tesla using a 31P whole-body transmit coil and 16-channel receive array |
| Lieke van den Wildenberg1, Ayhan Gursan1, Leonard W.F. Seelen1, Tijl A. van der Velden1, Mark Gosselink1, Martijn Froeling1, Wybe J.M. van der Kemp1, Dennis Klomp1, and Jeanine Prompers1 | ||
1Imaging and Oncology, UMC Utrecht, Utrecht, Netherlands |
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Alterations in 31P metabolite concentrations in the liver can be a consequence of liver disease and therefore 3D 31P MRSI can help in diagnosis and following progression and treatment response. However, commonly used 31P surface coils have a limited penetration depth and do not provide full coverage of the liver. We used an integrated 31P whole-body transmit coil with a local 31P receive array for 31P MRSI of the liver at a 7T MRI scanner. Here we demonstrate that 31P signals can be measured throughout the liver and 31P metabolite levels can be quantified with good to excellent test-retest reliability. |
| 2292 | Computer 28
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Development of 13C MRS measurements of hepatic glutathione production: monitoring oxidative stress in vivo |
| Stephen Bawden1,2, Bernard Lanz3, Peter E Thelwall4, Guruprasad P Aithal2, and Penny Gowland1 | ||
1Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 2NIHR Nottingham Biomedical Research Centre, Nottingham University hospitals NHS trust and the University of Nottingham, University of Nottingham, Nottingham, United Kingdom, 3Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom, 4Translational and Clinical Research Institute, Newcastle University, Newcastle, United Kingdom |
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Oxidative stress plays a central role in the development of both acute and chronic liver injury, with glutathione being the primary anti-oxidant. This study develops a method of measuring glycine to glutathione flux in vivo using 13C MRS and a novel labelling strategy. Quantification of [2-13C] glycine and [2-13C] glutathione concentrations following glycine ingestion show that the protocol used in this study does successfully enrich the glutathione pool and confirm the assumptions of the metabolic model proposed. This provides a powerful methodology to investigate oxidative stress in patient populations and in response to drug intervention. |
| 2293 | Computer 29
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Simultaneous Assessment of Complementary Metabolic Pathways in Liver Using Co-polarized Hyperpolarized 13C pyruvate and 13C dihydroxyacetone |
| Yaewon Kim1, Cornelius von Morze2, Jeremy W. Gordon1, Peder E. Z. Larson1, and Michael A. Ohliger1 | ||
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States, 2Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, United States |
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Hyperpolarized 13C MRS is a powerful emerging technique for assessing metabolic liver diseases, including diabetes and fatty liver. Chemical shift separation allows monitoring of many metabolites at once. Here, we explore the possibility of co-polarizing [1-13C]pyruvate and [2-13C]dihydroxyacetone to simultaneously assess two important metabolic pathways that are altered in liver disease. Co-polarization was successful, with preserved T1 relaxation times. Although co-polarization led to modest decreases in polarization levels, all expected metabolites were observed when injected into a healthy rat. By examining two pathways at the same time, co-polarization can be an important tool for assessing liver disease.
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| 2294 | Computer 30
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Investigating the effects of free breathing on in vivo 13C MRS in the liver at 3T |
| Abi Spicer1, Susan Francis1, Penny Anne Gowland1, and Stephen Bawden1,2 | ||
1Physics, University of Nottingham, Nottingham, United Kingdom, 2NIHR Nottingham Biomedical Research Centre, Nottingham University hospitals NHS trust, Nottingham, United Kingdom |
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13C Magnetic Resonance Spectroscopy (MRS) in the liver provides the only non-invasive method of studying metabolites in vivo, with standard protocols using multiple averages during a free breathing period. Using a respiratory belt to monitor the breathing cycle and in-house scripts, spectra were binned into inhale and exhale groups categorised as spectra within 2 standard deviations of the average minima/maxima. A systematic reduction in B0 during exhale compared with inhale but minimal impact on average B1 values during an inhale versus exhale. However, no significant changes in Phase angle, area under the curve or FWHM between the data sets. |
| 2295 | Computer 31
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Combining Convolutional Neural Networks, Multiparametric MRI, and Error Detection to Improve Automated Liver Segmentation |
| Matthew Gibbons1, Edgar Castellanos Diaz1, Suneil K Koliwad2, Peter W Hunt2, Jean-Marc Schwarz2,3, Kathleen Mulligan2,3, Robert H Lustig4, Alejandro Gugliucci3, Diana L Alba2, Ayca Erkin-Cakmak4, and Susan M Noworolski1 | ||
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Department of Medicine, University of California San Francisco, San Francisco, CA, United States, 3College of Osteopathic Medicine, Touro University - California, Vallejo, CA, United States, 4Department of Pediatrics, University of California San Francisco, San Francisco, CA, United States |
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The objective of this study was to generate an automatic liver segmentation method. Two methods were compared. The first, M1, was a Convolutional Neural Network (CNN) trained on proton density fat fraction (PDFF) maps. The second, M2, was the CNN trained on multiparametric MRI (mpMRI) images combined with an error detection protocol. The distributions for Dice similarity coefficient (DSC), volume, and PDFF were improved for M2 versus M1. The DSC mean increased from 0.91 to 0.96. The M2 method was effective in detecting and correcting poor segmentations while significantly reducing processing time as compared to manual segmentation. |
| 2296 | Computer 32
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Segmentation of Liver Lesions in WB-DWI Using Deformable Registration and Machine Learning Techniques |
| Annemarie Knill1,2, Antonio Candito1, Jessica Winfield1,2, James Larkin1,2, Samra Turajlic2,3, Dow Mu Koh1,2, Christina Messiou1,2, and Matthew Blackledge1 | ||
1The Institute of Cancer Research, London, United Kingdom, 2The Royal Marsden NHS Foundation Trust, London, United Kingdom, 3The Francis Crick Institute, London, United Kingdom |
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We present a proof-of-concept study to assess whether deformable registration followed by tissue classification using machine learning (ML) is an effective method for the delineation of liver metastases in whole-body diffusion-weighted imaging (WB-DWI). Deformable atlas-based registration achieves good quality delineation of the liver (Dice coefficient > 70%) and out of three ML models random forest achieved the best F-1 measure for segmenting disease within the liver. |
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PDFF predicts NASH in obese patients without known liver disease |
| Nikolaos Panagiotopoulos1,2, Danielle Batakis3, Tanya Wolfson4, Rashmi Agni5, Xiaofei Zhang5, Thekla Helene Oechtering1,2, Daiki Tamada1, David T. Harris1, Claude B. Sirlin3, and Scott B. Reeder1,6,7,8,9 | ||
1Department of Radiology, University of Wisconsin - Madison, Madison, WI, United States, 2Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Lübeck, Germany, 3Department of Radiology, University of California San Diego, San Diego, CA, United States, 4Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, United States, 5Department of Pathology and Laboratory Medicine, University of Wisconsin - Madison, Madison, WI, United States, 6Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 7Department of Medicine, University of Wisconsin - Madison, Madison, WI, United States, 8Department of Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, 9Department of Emergency Medicine, University of Wisconsin - Madison, Madison, WI, United States |
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Proton density fat fraction (PDFF) is not recognized as a discriminator between nonalcoholic fatty liver (NAFL) and nonalcoholic steatohepatitis (NASH). However, considering the two-hit theory on the pathogenesis of NASH, we hypothesize that in high-risk individuals without known liver disease, MRI-PDFF may predict the presence of NASH. There is a paucity of data to support this hypothesis. Therefore, we examined the predictive value of MRI-PDFF in 29 obese adults without suspected liver disease. We observed excellent diagnostic performance of MRI-PDFF for detecting NASH (AUC=1). If confirmed during this ongoing study, this would constitute a paradigm change in diagnosis of NASH. |
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Accuracy of a commercial high-speed T2-corrected multi-echo single voxel sequence at 3T as a function of R2* for measurement of liver fat content |
| Véronique Fortier1,2, Evan McNabb1, Ahmed Mohamed1, Rita Zakarian3, Ives R. Levesque2,3, and Caroline Reinhold1,3,4,5 | ||
1Medical Imaging, McGill University Health Center, Montreal, QC, Canada, 2Medical Physics Unit, McGill University, Montreal, QC, Canada, 3Research Institute of McGill University Health Center, Montreal, QC, Canada, 4Diagnostic Radiology, McGill University, Montreal, QC, Canada, 5Montreal Imaging Experts, Inc., Montreal, QC, Canada |
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Commercial methods for single breath-hold proton density fat fraction (PDFF) quantification in liver can suffer from bias due to the presence of iron. In this work, the PDFF accuracy of a high-speed T2-corrected multi-echo (HISTO) sequence was evaluated at 3T in phantoms at variable R2*, mimicking different iron levels. PDFF errors up to 70% for R2* larger than 150 s-1 were obtained, suggesting that HISTO is unreliable at large liver R2*, as seen with moderate to high iron overload. A Dixon sequence was more accurate at large R2*. Both techniques agreed in patients and phantoms at low PDFF and R2*. |
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Quantitative Dixon imaging to characterise early alterations in liver fat in a novel model of diet-induced MAFLD |
| Christopher Ball1,2, Zun Siong Low3, Jadegoud Yaligar1, Sanjay Kumar Verma1, Norliza Binte Esmail Sahib3, Hong Sheng Cheng3, Yun Sheng Yip3, Justin Yin Hao Lee3, Debbie Lim3, Walter Wahli3, Harish Poptani2, Nguan Soon Tan3,4, and S. Sendhil Velan1 | ||
1Laboratory of Molecular Imaging, Agency for Science Technology and Research (A*STAR), Singapore, Singapore, 2University of Liverpool, Liverpool, United Kingdom, 3Lee Kong Chian School of Medicine, Singapore, Singapore, 4Nanyang Technological University, Singapore, Singapore |
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A novel diet – LIDPAD – was developed to fulfil the need for a wild-type, diet-induced preclinical model of metabolic associated fatty liver disease that matches all physiologically relevant changes observed during human MAFLD progression.
Stages of MAFLD may be distinguished through MRI and the generation of proton density fat fraction maps. C57BL/6 mice fed on the LIDPAD diet for 4-16 weeks underwent hepatic fat quantification using multi-gradient eight-point Dixon MRI. Physiological changes were assessed through transcriptomic and insulin measurements.
Liver fat increased rapidly, alongside body weight, while transcriptional, metabolic and histological changes mirrored human MAFLD progression. |
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Reproducibility of MR Elastography Stiffness Measurements across Field Strength in Obese Adults |
| Nikolaos Panagiotopoulos1,2, Danielle Batakis3, Tanya Wolfson4, Thekla Helene Oechtering1,2, David T. Harris1, Alan McMillan1,5,6,7, Claude B. Sirlin3, and Scott B. Reeder1,5,6,8,9 | ||
1Department of Radiology, University of Wisconsin - Madison, Madison, WI, United States, 2Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Lübeck, Germany, 3Department of Radiology, University of California San Diego, San Diego, CA, United States, 4Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, United States, 5Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 6Department of Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, 7Department of Electrical and Computer Engineering, University of Wisconsin - Madison, Madison, WI, United States, 8Department of Medicine, University of Wisconsin - Madison, Madison, WI, United States, 9Department of Emergency Medicine, University of Wisconsin - Madison, Madison, WI, United States |
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MR elastography (MRE) allows for the quantification of liver stiffness as a quantitative biomarker of liver fibrosis. Between field strength reproducibility has been shown to be high in non-obese populations. Data in obese individuals are limited, however, and obese patients may benefit from early diagnosis as they have an increased risk of liver fibrosis. Therefore, in this work we examined the reproducibility of MRE measurements across field strength in a cohort of 34 obese adults. MRE based liver stiffness measurements were highly reproducible between field strengths. Technical success rate was nearly 100% in this challenging, but relevant population. |
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MR Elastography-Based Staging of Liver Fibrosis in Fontan Associated liver Disease is Confounded by the Effects of Venous Congestion |
| Suraj D Serai1, Adarsh Ghosh1, Benjamin J Wilkins2, Anne Marie Cahill1, David M Biko1, Elizabeth Rand3, Jack Rychik4, and David J Goldberg4 | ||
1Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Pathology, The Children's Hospital of Philadelphia, Philadelphia, PA, United States, 3Hepatology, The Children's Hospital of Philadelphia, Philadelphia, PA, United States, 4Cardiology, The Children's Hospital of Philadelphia, Philadelphia, PA, United States |
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In patients with Fontan, although liver stiffness has been found to increase significantly with age and has been directly correlated with diminished cardiac function, the increased liver stiffness could be influenced by underlying conditions of vascular congestion. The purpose of this study was to compare stiffness as measured by MRE localized by liver biopsy with histological results from biopsy, and to determine the change in MRE defined liver stiffness over time. Our findings have important implications for how liver MRE might be a useful tool in following the progression of liver stiffness longitudinally in patients with Fontan associated liver disease. |
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Development and Testing of an In-House Phantom to Assess T2*/R2* Relaxometry Measurements of Liver Iron Concentration |
| Alex Goodall1, Stephen Powell1, Jasmine Lister1, and Andrew Fry1 | ||
1Medical Imaging and Medical Physics, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom |
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T2* relaxometry measurements of Liver Iron Concentration are demonstrated to be reliable and reproducible in publications. However, no suitable phantom exists for individual hospitals to validate the accuracy, reliability or precision of their methods. We demonstrate a novel phantom mimicking physiological T2* liver values for this purpose. The accuracy of 2 clinical sequences, reproducibility between 2 scanners and reliability of the phantom was investigated. |
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Relevance of diffusion time for DKI detection of liver pathology |
| Rui V Simoes1, Andreia Otake1, Silvia Batista1, Rafael N Henriques1, Bruno Costa-Silva1, and Noam V Shemesh1 | ||
1Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal |
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Despite the recent interest in diffusion kurtosis imaging (DKI) for assessing liver pathologies, its added value over more standard diffusion-weighted or diffusion tensor imaging techniques remains to be established. Importantly, mean diffusivity (MD) and mean kurtosis (MK) estimations are strongly dependent on the diffusion time (DT), a parameter generally overlooked in liver DKI studies. Here, we demonstrate ex vivo the relevance of short DT – namely 10 ms rather than 40 ms – for MK detection of liver disease, using two well-described mouse models of liver metastasis and fibrosis. |
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Performance of small field of view rotated 2D selective RF excitation Diffusion Tensor (DTI) Imaging of kidneys with automatic motion correction |
| Dee Zhen Lim1, Julia Williams1, Jason Wong1, Lucy McKenna1, Julie Smith1, Emma Hornsey1, Dominic Italiano2, Leonid Churilov2, Daniel Staeb3, Thomas Benkert4, Elif Ekinci5,6, and Ruth P Lim1,7 | ||
1Department of Radiology, Austin Health, Heidelberg, Australia, 2Melbourne Medical School, University of Melbourne, Melbourne, Australia, 3MR Research Collaborations, Siemens Healthcare Pty Ltd, Melbourne, Australia, 4MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany, 5Department of Endocrinology, Austin Health, Heidelberg, Australia, 6Department of Medicine, University of Melbourne, Melbourne, Australia, 7Departments of Radiology and Surgery, University of Melbourne, Melbourne, Australia |
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Renal diffusion tensor imaging (DTI) is a promising, non-invasive biomarker for kidney function. Cortical and medullary fractional anisotropy (FA) and mean diffusivity (MD) correlates with early microstructural and functional changes in kidney diseases. However, reliability of DTI metrics is affected by artifacts. The ideal renal DTI sequence for robust and reproducible measurements remains under investigation. We report on a prototype for small field-of-view (FOV) DTI incorporating 2D selective and rotated RF excitation and automatic motion correction to minimize artifacts in 9 diabetic patients and 9 controls, demonstrating high inter-reader agreement for measured FA and MD and high image quality. |
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Renal T2-mapping with a T2-preparation sequence: comparison of signal models |
| Joao Periquito1, Kanishka Sharma1, Bashair Alhummiany2, Joao Sousa1, and Steven Sourbron1 | ||
1The University of Sheffield, Sheffield, United Kingdom, 2University of Leeds, Leeds, United Kingdom |
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A recent consensus paper recommends a mono-exponential signal model to determine T2-values from a T2-preparation sequence. However, this assumes complete signal recovery after each readout, and therefore necessitates long acquisition times. In this study, we compare the mono-exponential model against a forward modelling approach which is also accurate with incomplete recovery. Simulations, phantom data and repeatability data in healthy volunteers show the forward model is significantly more accurate and allows for a 7-fold reduction in acquisition time with a negligible cost in T2 precision. |
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Image Downsampling Expedited Adaptive Least-squares (IDEAL) fitting improves IVIM analysis in the human kidney |
| Julia Stabinska1,2,3, Helge Jörn Zöllner1,2, Hans-Jörg Wittsack3, and Alexandra Ljimani3 | ||
1F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 2The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Diagnostic and Interventional Radiology, Heinrich Heine University Dusseldorf, Dusseldorf, Germany |
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Recent studies have shown that a three-compartment model is preferable when analyzing renal DWI signal, as the conventional bi-exponential IVIM fitting does not differentiate between pure water diffusion and incoherent intra-tubular fluid motion. However, triexponential IVIM modelling in the kidney is challenging due to suboptimal SNR of diffusion-weighted images. In the present study, we applied Image Downsampling Expedited Adaptive Least-squared (IDEAL) fitting, which utilizes image downsampling to generate high SNR images to iteratively update the initial model parameters until the final image resolution is reached, and achieved more reliable estimates of the IVIM-related parameters compared with the conventional fitting methods. |
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Mapping spatially heterogeneous single nephron function in the kidney using MRI. |
| Edwin J. Baldelomar1, Jennifer Charlton2, and Kevin M Bennett3 | ||
1Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO, United States, 2Pediatric Nephrology, University of Virginia, Charlottesville, VA, United States, 3Radiology, Washington University in St. Louis School of Medicine, Saint Louis, MO, United States |
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Nephrons are the functional units of the kidney, coordinated with surrounding nephrons through the vasculature to filter blood plasma. We used in vitro CFE-MRI combined with Gd-DTPA contrast enhanced MRI to dynamically map single nephron physiology throughout the isolated, perfused rat kidney. We were able to map the heterogeneity and spatial variability of macromolecular binding and single nephron filtration. MRI appears to measure similar dynamics in single nephron filtration as intra-vital optical microscopy, with the advantage of measuring all nephrons in the kidney. |
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Evaluating renal fibrosis in a nephrotoxic nephritis model using DTI-MRI |
| Shimrit Avraham1, Rohan Virgincar2, Joshua Webster3, Andrey Shaw1, and Luke Xie2 | ||
1Research Biology, Genentech, South San Francisco, CA, United States, 2Biomedical Imaging, Genentech, South San Francisco, CA, United States, 3Research Pathology, Genentech, South San Francisco, CA, United States |
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Accurate estimation of kidney function is crucial to the detection, evaluation, and treatment of chronic kidney disease (CKD). The traditional methods are inaccurate or invasive. Here, we used DTI-MRI to evaluate kidney function with disease progression in nephrotoxic serum- induced CKD model (NTN). We detect changes associated with renal inflammation and fibrosis prior to functional decline. Moreover, AD and ADC of the cortex-outer medulla border were highly correlated with histologic evidence of fibrosis. These results suggest that DTI-MRI can detect early stages of CKD non-invasively in-vivo and can be used for fibrosis mapping in a variety of renal diseases. |
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Spatial Heterogeneity in Quantitative Renal ADC, ASL perfusion and R2* Maps Using Texture Analysis |
| Lu-Ping Li1,2, Emily Wilt1, Artem Mikheev3, Henry Rusinek3, Stuart Sprague1,2, Orly Kohn2, and Pottumarthi Prasad1,2 | ||
1NorthShore University HealthSystem, Evanston, IL, United States, 2Pritzker School of Medicine, University of Chicago, Chicago, IL, United States, 3Langone School of Medicine, New York University School of Medicine, New York, NY, United States |
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While regions of interest analysis is widely used in quantitative MRI, emphasis usually is placed only on the spatial average and information of spatial heterogeneity is ignored. Texture analysis has gained increasing interest in the context of applying artificial intelligence. These Radiomic tools are now readily available in image analysis tool boxes for more widespread adoption. We illustrate an application of such analysis on quantitative renal MRI, including ADC, ASL and R2* maps. Our results show that several measures of heterogeneity of cortical voxel-wise maps discriminate between healthy and individuals with chronic kidney disease. |
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Preclinical Investigation of Kidney Volume and Perfusion after Nephrectomy using Dynamic Contrast-Enhanced MRI. |
| Penny L Hubbard Cristinacce1, Franziska Lausecker2, Shanshan Li2, Ben R Dickie3,4, Michael Berks1, Ross A Little1, Alastair Hutchison5,6, James PB O'Connor1,7, and Rachel Lennon2 | ||
1Division of Cancer Sciences, The University of Manchester, Manchester, United Kingdom, 2Division of Cell-Matrix Biology and Regenerative Medicine, The University of Manchester, Manchester, United Kingdom, 3Division of Informatics, Imaging and Data Science, The University of Manchester, Manchester, United Kingdom, 4Geoffrey Jefferson Brain Research Centre , Manchester Academic Health Science Centre, Northern Care Alliance & University of Manchester, Manchester, United Kingdom, 5Division of Cardiovascular Sciences, The University of Manchester, Manchester, United Kingdom, 6Dorset Count Hospital NHS Foundation Trust, Dorset, United Kingdom, 7Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom |
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Compensatory hypertrophy of the remaining kidney is observed in mice after nephrectomy using structural MRI. By fitting the two-compartment filtration model to dynamic contrast-enhanced MRI data we examined the effects of nephrectomy on the passage of blood through the remaining kidney over time. Total kidney plasma volume (vp) increases at 1 week post-nephrectomy, along with T1. This is followed by a decrease at week 4, which is coupled to a decrease in total and per unit volume plasma flow and an increase in plasma mean transit time. |
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Velocity-compensated optimized diffusion encoding in respiratory-triggered renal ADC mapping |
| Sean McTavish1, Anh T. Van1, Johannes M. Peeters2, Kilian Weiss3, Marcus R. Makowski1, Rickmer F. Braren1, and Dimitrios C. Karampinos1 | ||
1Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany, 2Philips Healthcare, Best, Netherlands, 3Philips GmbH Market DACH, Hamburg, Germany |
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Diffusion-weighted imaging (DWI) and ADC mapping remains a potential biomarker for the assessment of renal fibrosis in chronic kidney disease and characterization of renal carcinoma. However, for body DWI applications including renal DWI, motion effects can confound the robustness of abdominal DWI. Motion-compensated diffusion encoding designs have been proposed as alternatives in overcoming the effect motion in other organs such as the liver and the pancreas. The purpose of this work is to assess the effect of respiratory motion and to apply motion compensated diffusion encoding waveforms in the context of coronal respiratory-triggered ADC mapping in the kidney. |
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Dixon-MRI to quantitatively evaluate the correlation between abnormal fat deposition and chronic kidney disease with diabetic complications |
| Fangjie Xia1,2, Wen Shen3, Lihua Chen3, and Jinxia Zhu4 | ||
1Tianjin First Center Hospital, Tianjin medical university, Tianjin, China, 2Tianjin medical university, Tianjin, China, 3Tianjin First Center Hospital, Tianjin, China, 4Siemens Healthcare, Beijing, China |
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The study use Dixon and DKI sequence to quantitative analysis the ectopic fat deposition in chronic kidney disease and diabetic nephropathy. Compare the degree of fat infiltration in different organs and tissues including Liver, pancreas, kidney and muscles, combined with clinical laboratory experiments, to study the relationship between fat deposition and the development of CKD or diabetic nephropathy. Aim to point out the significance of treatment to fat deposition for CKD or diabetic nephropathy patient. |
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Synthetic arterial spin labelling datasets of the kidneys for pipeline evaluation and comparison |
| Irène Brumer1, Dominik F. Bauer1, Lothar R. Schad1, and Frank G. Zöllner1 | ||
1Computer Assisted Clinicial Medicine, Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany |
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Synthetic kidney ASL data with respiratory motion was generated using models from the XCAT phantom and matching recommendations for in-vivo acquisitions. Both pCASL and PASL datasets with 1 M0 and 25 control-label pairs were created and analysed using an in-house developed processing pipeline including registration, manual segmentation, calculation of mean perfusion-weighted image and perfusion map. The registration performed well on the synthetic data and the perfusion maps yielded good cortex/medulla contrast. The presented method allows a wide range of parameter choices for creating synthetic ASL datasets valuable for testing processing pipelines and comparing them across research and clinical imaging centres. |
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Parametric T1 MR Microscopy Detects Gadolinium Residuals in Ex Vivo Rat Kidneys |
| Ehsan Tasbihi1, Luis Hummel2, Thomas Gladytz1, Ludger Starke1, Jason M. Millward1, Erdmann Seeliger2, and Thoralf Niendorf1,3 | ||
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, Berlin, Germany, 2Institute of Vegetative Physiology, Charité – Universitätsmedizin Berlin, Berlin, Germany, Berlin, Germany, 3Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the MAX Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, Berlin, Germany |
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Accumulation of gadolinium (Gd) following use of Gd-based contrast agents (GBCA) is a concern. To study the potential of T1 microscopy for assessing Gd residues in the kidney, rats were administered 8 intravenous doses of various GBCAs over a period of two weeks. Five days following the last administration, the kidneys were collected and fixed in formalin. High resolution T1 maps obtained from ex vivo scans showed significantly reduced T1 levels for both linear and macrocyclic GBCAs. This demonstrates to potential for quantitative T1 mapping to detect Gd residues non-invasively in renal tissue. |
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Multiparametric MR imaging in diabetic nephropathy: New insights to evaluate early diabetic nephropathy noninvasively |
| Akira Yamamoto1, Tsutomu Tamada2, Yu Ueda3, Mitsuru Takeuchi4, Ayumu Kido2, Atsushi Higaki2, and Akihiko Kanki2 | ||
1Radiology, Kawasaki Medical School, Kurashiki, Japan, 2Kawasaki Medical School, Kurashiki, Japan, 3Phillips Japan, Tokyo, Japan, 4Radiolonet Tokai, Nagoya, 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 (DN). Multiparametric measurements were made of the renal cortex and medulla. Significant differences were seen between the healthy and early DN (grade1) in optimal TI and inverted TI value. T2 value of cortex is in marginal significant (p=0.064). This study suggests the possibility that MRI using the values of optimal TI, inverted TI value and T2 value of cortex can be used to evaluate early diabetic nephropathy non-invasively and in a short period of time. |
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Stiffening of renal transplants after donation assessed by MR elastography – physiological adaption from donor to recipient |
| Stephan Rodrigo Marticorena Garcia1, Frank Friederdorff2, Josef Mang2, Alexandra Webster1, Bernd Hamm1, Jürgen Braun3, and Ingolf Sack1 | ||
1Radiology, Charité – Universitätsmedizin Berlin, Berlin, Germany, 2Urology, Charité – Universitätsmedizin Berlin, Berlin, Germany, 3Medical Informatics, Charité – Universitätsmedizin Berlin, Berlin, Germany |
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Renal stiffness was investigated by using magnetic resonance elastography (MRE) with tomoelastography-postprocessing in 24 participants (12 renal donor-recipient couples) to explore the influence of kidney transplantation on renal viscoelasticity for the first time. Renal stiffness increases immediately after transplantation. These early changes could be due to changes in renal perfusion and increase in renal metabolism, which is also reflected by increase in renal volume. Cold ischemia time was found in being a contributor to changes of solid renal structures. Inccrease in renal stiffness after transplantation could be a novel predictive biomarker for better renal outcome. |
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Quantitative evaluation of renal injury in the early chronic kidney disease with quantitative susceptibility mapping |
| Shan Jiayuan1, Zhang Jinggang1, Chen Jie1, Xing Wei1, Wang Yishi2, and Zhang Jilei3 | ||
1Third Affiliated Hospital of Soochow University, Changzhou, China, China, 2Philips Healthcare, Beijing, China, 3Philips Healthcare, Shanghai, China |
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To explore the value of quantitative susceptibility mapping (QSM) in evaluating renal injury in patients with chronic kidney disease (CKD). 40 CKD patients were included in the study to evaluate the potential clinical value of QSM. We found that with the progress of CKD staging, renal medulla susceptibility values decreased significantly. Susceptibility value of the medulla was highly correlated with estimated glomerular filtration rate (eGFR). QSM could serve as a quantitative biomarker to assess the renal injury of early CKD. |
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Analysis of postural effect on kidney volume using multiposture MRI |
| Seiya Nakagawa1, Tosiaki Miyati1, Naoki Ohno1, Koga Kawano1, Yuki Oda1, and Satoshi Kobayashi1 | ||
1Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan |
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We assessed the effect of posture on kidney volume measured in the supine and upright positions using an original MRI system that can image in any posture (multiposture MRI). We compared the kidney volume (whole kidney, renal cortex, medulla, and pelvis) between the supine and upright positions. Upright position reduced whole kidney, renal cortex, and medulla volumes, and these differences between postures potentially provide new diagnostic information. |
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Comparison of the reproducibility of human renal amide proton transfer weighted imaging in axial and coronal orientations |
| Xia Wang1, Zeliu Du# 1, Gang Tian1, Yu Jiang1, Chaoqun Bu1, Na Zhao1, Chanjuan Yu1, Yuedong Han*1, Xiuzheng Yue2, and Zhiwei Shen2 | ||
1Xi'an Gaoxin Hospital, Xi'an, China, 2Philips Healthcare, Beijing, China |
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Three-dimensional (3D) amide proton transfer (APT)-weighted (APTw) techniques have been applied in clinical work, However, image quality and feasibility of APTw imaging in normal kidneys at different scanning orientations have not been well confirmed. This study conducted on 27 healthy adult volunteers and all volunteers underwent intermittent end-respiratory breath-holding of axial and coronal 3D-APTw imaging. The preliminary results of this study show that the image quality of the image quality of renal APTw axial plane is better than that of coronal plane, and the reproducibility of APTw measurement values in axial plane is superior to that of coronal plane. |
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Mapping autoregulatory mechanisms in the kidney using resting-state MRI |
| Darya Morozov1, Edwin Baldelomar1, and Kevin Bennett1 | ||
1Radiology, Washington University in St. Louis, St. Louis, MO, United States |
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The kidney maintains stable glomerular perfusion and tubular filtration, despite fluctuation in blood pressure. This autoregulation of flow is performed by two key mechanisms: the myogenic response and the tubuloglomerular feedback. Each mechanism is associated with specific but spatially variable bands of low-frequency fluctuations. Mapping autoregulation throughout the kidney could provide new insights into pathophysiology on kidney disease, or provide noninvasive biomarkers to monitor disease. Here we demonstrate the presence of low-frequency fluctuations in the MRI signal in the rat kidney. This work provides new tools for preclinical investigation, and suggests the potential to evaluate kidney autoregulation in clinical setting. |
| 2574 | Computer 15
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Frequency, pattern, and associations of renal iron accumulation in sickle/beta-thalassemia |
| Antonella Meloni1, Luigi Barbuto2, Vincenzo Positano1, Laura Pistoia1, Priscilla Fina3, Giuseppe Peritore4, Michela Zerbini5, Gennaro Restaino6, Calogera Gerardi7, Letizia Tedesco8, Domenico Maddaloni9, Filippo Cademartiri1, and Alessia Pepe1 | ||
1Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy, 2Azienda Ospedaliera di Rilievo Nazionale "A. Cardarelli", Napoli, Italy, 3Ospedale "Sandro Pertini", Roma, Italy, 4"ARNAS" Civico, Di Cristina Benfratelli, Palermo, Italy, 5Ospedale del Delta, Lagosanto (FE), Italy, 6Gemelli Molise SpA, Fondazione di Ricerca e Cura "Giovanni Paolo II", Campobasso, Italy, 7Presidio Ospedaliero "Giovanni Paolo II" - Distretto AG2 di Sciacca, Sciacca (AG), Italy, 8Presidio Ospedaliero Locri - A.S.P di Reggio Calabria, Locri (RC), Italy, 9Ospedale "Engles Profili", Fabriano, Italy |
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Sickle/beta-thalassemia and homozygous sickle cell disease (HbSS) patients were rather similar in respect to hepatic, pancreatic and cardiac iron deposition detected by the T2* MRI technique, but sickle/β-thalassemia patients had significantly less renal iron overload. In sickle/beta-thalassemia renal T2* values were not associated to age, gender, splenectomy, transfusions, serum ferritin levels or iron load in the liver, pancreas and heart, suggesting that performing MRI T2* in other organs is not a reliable approach to predict the exact renal iron state. Renal T2* values were inversely correlated with serum lactate dehydrogenase, confirming that kidney iron results from chronic hemolysis. |
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Exploring the reproducibility of APT imaging technology in healthy adult kidneys based on breathing patterns |
| Xia Wang1, Yu Jiang#1, Zeliu Du1, Gang Tian1, Chaoqun Bu1, Na Zhao1, Chanjuan Yu1, Yuedong Han*1, Xiuzheng Yue2, and Zhiwei Shen2 | ||
1Xi'an Gaoxin Hospital, Xi'an, China, 2Philips Healthcare, Beijing, China |
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The current amide proton transfer weighted (APTw) imaging cannot control the effect of respiratory motion artifacts effectively during image acquisition. Respiratory motion artifacts are a major factor affecting the quality of APTw imaging of the liver [1].In this study, according to the characteristics of APTw imaging acquisition, the healthy adult volunteers were divided into free-breathing (FB) group and intermittent breath-holding (IBH) group. The the right renal axial plane APTw imaging acquisition with the same parameters was performed. The analysis results showed that the success rate and repeatability of APTw imaging in the IBH group were better than FB group. |
| 2576 | Computer 17
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Quantitative susceptibility mapping in the dynamic evaluation of renal ischemia-reperfusion injury in rabbits: a feasibility study |
| Kai Luo1, Jie Chen1, Jinggang Zhang1, and Weiqiang Dou2 | ||
1Third Affiliated Hospital of Soochow University, changzhou, China, 2MR Research China, GE Healthcare, Shanghai, China |
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The purpose was to explore whether quantitative susceptibility mapping (QSM) can assess the dynamic process of renal ischemia-reperfusion injury (IRI) in rabbits. We found that the magnetic susceptibility values of the outer medulla were statistically significant among the IRI group. Additionally, the magnetic susceptibility values of the outer medulla was highly correlated with the pathological score of renal injury. With these findings, QSM could serve as a quantitative biomarker to assess the dynamic changes of the outer medulla in the early stage of renal IRI. |
| 2577 | Computer 18
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Real-Time Magnetic Resonance Imaging-Based Computational Modelling To Simulate Urine Flow In Urethra |
| Labib Shahid1, Juan Pablo Gonzalez-Pereira1, Cody Johnson1, and Alejandro Roldán-Alzate1 | ||
1University of Wisconsin-Madison, Madison, WI, United States |
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Studying common urinary conditions such as BPH/LUTS require measuring urine flow in the urethra by invasive techniques. We present a method that uses real-time MR images of the bladder and urethra to quantify urine flow dynamics. Images of the urethra define the anatomical geometry, while images of the bladder inform the flow rate inside the urethra. Coupling MRI with CFD allows the urinary flow simulation inside the urethra providing information about urine velocity, pressure, and wall shear stress non-invasively. |
| 2578 | Computer 19
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MRI-based Assessment of Urethral Biomechanics During Voiding |
| Cody J Johnson1, Maxwell C Kounga1, Juan Pablo Gonzalez-Pereira1,2, Shane A. Wells1, Wade A. Bushman3, and Alejandro Roldán-Alzate1,2,4 | ||
1Radiology, University of Wisconsin-Madison, MADISON, WI, United States, 2Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 3Urology, University of Wisconsin-Madison, MADISON, WI, United States, 4Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States |
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Non-invasive methods to evaluate voiding dysfunction in men are extremely limited. We report here a non-invasive, MRI-based protocol to characterize urethral biomechanics during voiding. All four subjects were able to void in the scanner with high-fidelity, 3D images of the urethra. These images were successfully analyzed for anatomy, function, and biomechanics. Future work will be aimed at furthering these methods and resulting metrics so that they may be applied clinically. |
| 2579 | Computer 20
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Automatic 3D bladder segmentation from low-field MR images using 3D U-Net |
| Lianne Straetemans1, Dieuwertje Alblas2, Lisan M. Morsinkhof1, Jelmer M. Wolterink2, and Frank F.J. Simonis1 | ||
1Magnetic Detection & Imaging, TechMed Centre, University of Twente, Enschede, Netherlands, 2Applied Mathematics, TechMed Centre, University of Twente, Enschede, Netherlands |
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Pelvic organ prolapse (POP) is a common problem in women, but little is known about treatments. Automatic 3D segmentation of pelvic organs would be useful for improving research in this area. This study successfully applies a 3D U-Net for automatic bladder segmentation of upright and supine low-field MRI scans from asymptomatic women. The resulting network will probably also perform well on data from POP patients. Further improvements are expected when the training data is completed. Future work will focus on segmentation of additional pelvic organs. |
| 2580 | Computer 21
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Can we evaluate the progression from acute kidney injury to chronic kidney disease with sodium MRI and disease biomarkers? |
| Camilla Westergaard Rasmussen1, Nikolaj Bøgh1, Thomas Haugaard Thorsen1, Lotte Bonde Bertelsen1, Esben Søvsø Szocska Hansen1, and Christoffer Laustsen1 | ||
1Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus N, Denmark |
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This study evaluates 23Na-MRI and renal injury disease biomarkers in a porcine model of unilateral renal ischemia-reperfusion injury. Pigs were distributed into groups of healthy controls, 2 ischemia times, and three survival times (n = 25). We found a significant difference between thecorticomedullary sodium gradients in pigs exposed to long ischemia. Neutrophil gelatinase-associated lipocalin (NGAL) was increased immediately after the ischemia-reperfusion injury regardless of the length of ischemia, but only remained elevated in the long-time ischemia group. Our results suggest a kidney injury model with the ability to differentiate between reversible and progressive acute kidney injury. |