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| 4720 | Monitoring Tumor Vascular Microenvironment Response by Multiparametric MRI after Dual Inhibition of PFKFB3 and VEGF in Glioblastoma | |
| Junfeng Zhang1 and Weiguo Zhang1 | ||
1Radiology, Daping Hospital, Army Medical University, Chongqing, China |
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Tumor vascular normalization induced by antiangiogenic therapy such as bevacizumab (BEV) is a promising strategy to remodel tumor microenvironment. However, this effect is transient and finally vanished because of inevitable adaptive therapy resistance. In this study, we found that targeting tumor glycolysis activator PFKFB3 is a novel potential strategy to enhance BEV therapy efficacy and prolonged vascular normalization in glioblastoma. IVIM parameters are much better than DCE-MRI as alternative translatable imaging biomarkers for evaluating tumor response and monitoring vascular normalization. |
| 4721 | Mapping hypoxia in brain tumors using GdDO3NI: validation with PET and IHC | |
| Babak Moghadas1, Matthew Scarpelli2, Christopher Rock1, Alberto Fuentes2, Debbie Healey2, Chad Quarles2, and Vikram D Kodibagkar1 | ||
1Biomedical engineering, Arizona State University, Tempe, AZ, United States, 2Barrow Neurological Institute, Phoenix, AZ, United States |
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In this study we have used the hypoxia-targeting MRI contrast agent GdDO3NI, (a nitroimidazole-based T1 contrast agent) to image the development of hypoxia in the rodent brain tumors at two different sizes. Our results indicate a range of signal enhancements from 5-20% over baseline in the 9L tumor using GdDO3NI with clearance from contralateral brain and muscle tissue. Furthermore the GdDO3NI enhancement correlates with PET imaging using hypoxia targeting 18F-FMISO and immunohistochemistry based on pimonidazole. This study further demonstrates the utility of GdDO3NI in non-invasive imaging of tissue hypoxia with high resolution. |
| 4722 | Quantitative imaging of adipocyte distribution in breast cancer xenograft models | |
| Michal Tomaszewski1, William Dominguez Viqueira1, Bruna Victorasso Jardim Perassi1, Pravin Phadatare1, Robert J Gillies1, and Smitha Pillai1 | ||
1Cancer Physiology, H. Lee Moffitt Cancer Center, Tampa, FL, United States |
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Lipid deposition and metabolism is relevant for cancer prognosis and treatment response. Imaging characterisation of the adipocyte deposition patterns in breast cancer and its relationship with the microenvironment may therefore provide valuable insight into the tumour. A Chemical selected saturation based MR technique was optimised and validated in vivo and ex vivo to visualize adipocyte distribution in breast cancer xenografts. The measurements reveal clear differences in adipocyte accumulation between different breast models. In the future this technique will be applied to understand the role of adipocyte distribution in breast cancer. |
| 4723 | Early MR-detectable biomarkers of mutant IDH inhibition in patient-derived low-grade gliomas in vivo | |
| Marina Radoul1, Chloé Najac1, Donghyun Hong1, Anne Marie Gillespie1, Pavithra Viswanath1, Russell O. Pieper2,3, Joseph F. Costello2, and Sabrina M. Ronen1,3 | ||
1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Neurological Surgery, University of California San Francisco, San Francisco, CA, United States, 3Brain Tumor Research Center, University of California San Francisco, San Francisco, CA, United States |
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Low-grade glioma (LLG) patients have a relatively long-term survival of ~13 years but these tumors always recur. Since IDH mutations are present in >80% of LGGs, inhibition of mutant IDH activity is being tested as a new therapeutic approach. Here, we investigated response to mutant IDH inhibition by AG-881 in orthotopic LGG mouse models. Using in vivo 1H MRS we detected, in addition to a decrease in 2-HG, an early increase in both glutamate and glutamine/glutamate that were associated with subsequent tumor shrinkage. This identifies potential early metabolic biomarkers of LGG response to mutant IDH inhibition. |
| 4724 | Brain and plasma choline compounds altered by cancer and cancer-induced cachexia | |
| Santosh K Bharti1, Paul T Winnard1, Raj Kumar Sharma1, Marie-France Penet1,2, Balaji Krishnamachary1, and Zaver M. Bhujwalla1,2,3 | ||
1Div. of Cancer Imaging Research, The Russell H. Morgan Dept 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, 33Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Cancer induced cachexia is a multifactorial syndrome that results in unexplained weight loss in cancer patients. A major cause of morbidity and mortality, the syndrome is most prevalent in pancreatic cancer. Here we have identified changes in brain choline metabolites and plasma choline in human pancreatic cancer xenografts that induce cachexia (Pa04C) as well as noncachexia inducing pancreatic cancer xenografts (Panc1), compared to normal mice. These results highlight the systemic changes in choline metabolism that occur with cancer and with cancer induced cachexia that may lead to the development of early biomarkers as well to metabolic treatment strategies. |
| 4725 | 13C-MRI Detects Increased Lactate Flux in HCC Following Hepatic Thermal Ablation and Correlates with PFKFB3 Expression | |
| Qianhui Dou1, Aaron K. Grant1, Cody Callahan1, David Mwin1, Muneeb Ahmed1, and Leo L. Tsai1 | ||
1Radiology, Beth Israel Deaconess Medical Center, Boston, MA, United States |
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Thermal ablation (TA) is commonly used to treat early hepatocellular carcinoma (HCC) and liver metastases. However, there is increasing clinical and experimental evidence that TA may sometimes induce more aggressive tumor biology within and outside the liver. We used hyperpolarized 13C MRI to detect increased HCC lactate flux following adjacent normal liver radiofrequency ablation in a rat model. This increased flux correlated with an increase in tumor expression of PFKFB3, a known modulator of glycolysis. PFKFB3 may be a potential therapeutic target and hyperpolarized 13C MRI may be used to track or predict treatment response. |
| 4726 | Lung and kidney metabolism altered by cancer-induced cachexia | |
| Raj Kumar Sharma1, Santosh K. Bharti1, Paul T Winnard1, Marie-France Penet1,2, 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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To understand the impact of pancreatic cancers on body organs within the context of cancer induced cachexia we have, in ongoing studies, characterized the metabolism of organs in tumor bearing mice. Cancer-induced cachexia occurs in 80% of pancreatic ductal adenocarcinoma (PDAC) patients. Here we present data demonstrating the significant impact of cachexia-inducing Pa04C PDAC xenografts compared to non-cachexia inducing Panc1 xenografts and normal mice on kidney and lung metabolites as identified by 1H MRS of tissue extracts. These metabolic changes may contribute to increased morbidity and poor quality of life but equally may present novel targets for intervention. |
| 4727 | Ubiquitous Mitochondrial Creatine Kinase Drives Malignant Creatine Metabolite Profiles in Triple-Negative Breast Cancer Models | |
| Vinay Ayyappan1, Caitlin Tressler1, Menglin Cheng1, Kanchan Sonkar1, Ruoqing Cai1, Michael T. McMahon1,2, and Kristine Glunde1,3 | ||
1he Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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Ubiquitous Mitochondrial Creatine Kinase (CKMT1) is a mitochondrial membrane protein that catalyzes the reversible conversion of creatine (Cr) to phosphocreatine (PCr). This study shows in a mouse model of triple-negative breast cancer that CKMT1-overexpression significantly increases tumor Cr and PCr levels while accelerating tumor growth. Since high CKMT1 predicts worsened survival in breast cancer patients, CKMT1 may hold promise as a potential diagnostic marker and/or treatment target whose expression can be monitored using magnetic resonance spectroscopy-detected Cr and PCr levels. |
| 4728 | Lymphotropic Nanoparticle-Enhanced LNMRI for Accurate Prediction of Nodal Status in Canine Head and Neck Cancer Patients | |
| Marina Stukova1, Lynn Griffin2, Bernard Seguin2, Chad Frank2, and Natalie Julie Serkova3 | ||
1Radiology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States, 2Colorado State University, Fort Collins, CO, United States, 3Radiology, University of Colorado Anschutz, Denver, CO, United States |
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The objective of this study was to develop an optimal iron oxide enhanced lymph node MRI protocol and robust image analysis using pre-and-post ferumoxytol T2 and T2* scans in canine patients with HNC. Since those pet patients are naturally prone to HNC, they can serve as a great translational platform for development of novel non-invasive imaging modalities for LN staging and metastasis and to guide anti-lymphangiogenic therapies. The results indicate that Ferumoxytol can be used as T2 negative contrast agent for non-invasive LN staging 48 hrs post-injection. SI normalization should be performed to a phantom or to the brain. |
| 4729 | Imaging of Stroke in Rodents using a Clinical Scanner and Implanted Inductively Coupled Receiver Coils | |
| Javier Istúriz1, María J. Nicolás2, Miguel Fernández3, Adriana Honrubia2, Pablo Domínguez3, Gorka Bastarrika3, Miguel Valencia2, and Maria A. Fernandez-Seara3 | ||
1NeosBiotec, Pamplona, Spain, 2Neuroscience, Fundación para la Investigación Médica Aplicada, Pamplona, Spain, 3Radiology, Clínica Universidad de Navarra, Pamplona, Spain |
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We and others have previously shown that clinical scanners can be employed to image small laboratory animals using wireless inductively coupled coils (ICC). In this work, we evaluated the use of implanted ICCs for the same purpose and demonstrated that they can provide high SNR images that allow longitudinal assessment of stroke lesions in rodents. |
| 4730 | IAUC derived permeability index factor is a robust parameter for permeability visualization in breast cancer brain metastasis in mice & patients. | |
| Daniele Procissi1, Supada Prakkamakul2,3, Sol Misener4, Nicola Bertolino4, Benjamin P Liu 2, and Irina Balyasnikova5 | ||
1Radiology & Biomedical Engineering, Northwestern University, Evanston, IL, United States, 2Radiology, Northwestern Memorial Hospital, Chicago, IL, United States, 3Diagnostic Radiology, Samitivej Hospital, Bangkok, Thailand, 4Radiology, Northwesten Unversity, Chicago, IL, United States, 5Neurological Surgery, Northwestern, Chicago, IL, United States |
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A iAUC derived tumor permeability index factor (TPIF) provides a reliable and robust reporter of breast cancer brain metastases (BCBM) tumor microenvironment permeability patterns without the confounding elements of model-based DCE-MRI analysis (i.e. low sensitivity, inability to fit, inter-subject data reliability). A comparison of results in both mice and patients suggests that this parameter can serve as an additional tool for improved, early clinical diagnosis and for therapeutic testing at the preclinical level. |
| 4731 | Fractional Calculus Tracer Kinetic Model for Tissue Blood Perfusion Quantification | |
| Stefan Hindel1 and Lutz Lüdemann1 | ||
1University Hospital Essen, Essen, Germany |
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We present a one-compartment model with fractional elimination and time-dependent tracer input to estimate perfusion and its heterogeneity with intravascular contrast agent and DCE-MRI. Fractional order elimination leads to residue functions of a simple decreasing Mittag-Leffler type. The technique was validated with animal experiments and also tested clinically in a patient with lower limb sarcoma. Our results suggest that using intravascular contrast agent in combination with a fractional 1-compartment tracer kinetic model allows for the absolute perfusion quantification of low perfused organs like muscles by considering kinetic heterogeneity. |
| 4732 | The feasibility of ADC in optimizing chemotherapy for 5-FU-resistant gastric cancer with mouse model: when should replace 5-FU with paclitaxel? | |
| Jia Sun1, Lai-yun Zhang1, Lei Yang1, Zhu-lin Li1, Qing-lei Shi2, and Tao Jiang1 | ||
1Beijing Chaoyang Hospital of Capital Medical Universit, Beijing, China, 2Siemens Healthcare,MR Scientific Marketing,Beijing China, Beijing, China |
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In this study, we verified the feasibility of apparent diffusion coefficient (ADC) values in predicting chemotherapy response and optimizing chemotherapy regimen for gastric cancer that is resistant 5-FU with mouse model. We found that based on the early changes of ADC to replace 5-FU with paclitaxel in advance can effectively reduce tumor burden which means it may be possible to use ADC values as a reliable bio-marker in predicting chemotherapy response and optimizing chemotherapy regimen for gastric cancer. |
| 4733 | Oxygen-Enhanced MOLLI T1 Mapping during Chemoradiotherapy in Anal Squamous Cell Carcinoma | |
| Emma Bluemke1, Daniel Bulte1, Ambre Bertrand1, Ben George2, Rosie Cooke2, Kwun-Ye Chu3, Lisa Durrant2, Vicky Goh4, Clare Jacobs2, Stasya Ng5, Victoria Strauss6, Maria Hawkins3, and Rebecca Muirhead2 | ||
1Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom, 2Department of Oncology, Oxford University Hospitals Trust, Oxford, United Kingdom, 3Radiotherapy Department, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom, 4Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, Oxford, United Kingdom, 5Cancer Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 6Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, United Kingdom |
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Early identification of patients in need of radiotherapy treatment intensification would allow tailored radiotherapy dose. We hypothesize that patients with poor vascularity or hypoxia will correlate with these patients, and T1 changes from oxygen-enhanced MRI could provide indications of tumour perfusion. We acquired T1-maps before and after 8-10 fractions of radiotherapy and examined whether the oxygen-enhanced MRI response relates to clinical outcome. There was a significant increase in tumour T1 across patients following chemoradiotherapy (p<0.001). Before chemoradiotherapy, OE-MRI showed no significant changes in tumour T1, however after receiving chemoradiotherapy, OE-MRI showed a significant decrease in tumour T1 (p<0.001). |
| 4734 | Response Evaluation in Osteosarcoma: RECIST1.1 criteria Versus Intravoxel Incoherent Motion | |
| Esha Baidya Kayal1, Devasenathipathy Kandasamy2, Kedar Khare3, Sameer Bakhshi4, Raju Sharma2, and Amit Mehndiratta1,5 | ||
1Centre for Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi, India, 2Radio Diagnosis, All India Institute of Medical Sciences, New Delhi, New Delhi, India, 3Department of Physics, Indian Institute of Technology, Delhi, New Delhi, India, 4Department of Medical Oncology, Dr. B.R. Ambedkar Institute-Rotary Cancer Hospital (IRCH), All India Institute of Medical Sciences, New Delhi, New Delhi, India, 5Department of Biomedical engineering, All India Institute of Medical Sciences, New Delhi, New Delhi, India |
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Osteosarcoma (OS) is the most common primary malignant bone tumor in children and adolescents. Monitoring treatment response during chemotherapy might help in better and personalized therapeutic options improving overall therapeutic outcome. RECIST1.1 is the standard imaging based non-invasive treatment response evaluation criteria in solid tumors. Quantitative Intravoxel incoherent motion (IVIM) parameters and their histogram analysis were performed in Osteosarcoma in characterizing chemotherapy response with respect to RECIST1.1 criteria. IVIM parameters and its histogram analysis revealed clinically useful information in characterizing chemotherapy response in Osteosarcoma. |
| 4735 | Quantitative Diagnosis of Microvascular Invasion of Hepatocellular Carcinoma in IVIM diffusion-weighted MR imaging | |
| tianyuan zhang1, nan li1, xianyue quan1, yuan wang1, and xinquan chen1 | ||
1Zhujiang Hospital, Southern Medical University, Guangzhou, China |
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This study selected 48 HCC patients admitted to our hospital from January 2018 to June 2019, and divided them into 34 HCC patients in the MVI negative group and 14 HCC patients in the MVI positive group according to the postoperative pathological results. And then the round area of ROI was used to measure the lesion on the IVIM image. Finally, the diagnostic value of D, D*, f and ADC to MVI was analyzed by statistical software. The results showed that IVIM-DWI was helpful in evaluating the MVI of HCC, and D value had the best diagnostic efficacy. |
| 4736 | Quantifying heterogeneity in DW-MRI and DCE-MRI data of breast cancer for the prediction of treatment response: Preliminary results | |
| Anum K Syed1, Chengyue Wu1, Angela M Jarrett1, Anna G Sorace2, John M Virostko1, and Thomas E Yankeelov1 | ||
1University of Texas at Austin, Austin, TX, United States, 2University of Alabama at Birmingham, Birmingham, AL, United States |
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We investigate multiparametric analysis of DW- and DCE-MRI data to identify tumor subregions indicative of response in breast cancer patients undergoing neoadjuvant therapy (NAT). The analysis showed significant increases in low vascular perfusion, low cellularity subregions early in the course of NAT for patients who achieved pathological complete response and significant decreases in high vascular perfusion, high cellularity subregions on the border with parenchyma. High-dimensional analysis of multimodal MRI data can be utilized to identify subregions of response within patients and these characterizations of intratumoral heterogeneity can potentially be used to guide therapy for improved patient outcome. |
| 4737 | Accuracy and precision of preclinical renal T2 mapping using monoexponential fitting and dictionary matching methods | |
| Carlota M. Santos1, Andreia C. Freitas1, João S. Periquito2, Paula R. Delgado2, Thoralf Niendorf2, Andreas Pohlmann2, and Rita G. Nunes1 | ||
1ISR-Lisboa/LARSyS and Department of Bioengineering, Instituto Superior Técnico – Universidade de Lisboa, Lisbon, Portugal, 2Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany |
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Parametric mapping of T2* and T2 can be used to evaluate renal blood oxygenation. Efficient T2 mapping can be performed using a multi spin-echo sequence and fitting the pixel-wise signal with a monoexponential model although known to introduce T2 bias, or by matching it to pre-computed Echo Modulation Curves, accounting for all echo pathways. A Monte Carlo simulation was performed using a numerical kidney phantom to evaluate accuracy and precision of both approaches under the influence of noise. The results demonstrated an improved T2 accuracy using the EMC method compared to monoexponential fits and low dependence on tissue-type. |
| 4738 | Comparison of tumor cellular-interstitial water exchange rates measured by DCE-MRI and diffusion time-dependent diffusion kurtosis imaging | |
| Jin Zhang1, Karl Kiser1, Ayesha Bharadwaj Das1, Chongda Zhang1, and Sungheon Gene Kim1 | ||
1New York University School of Medicine, New York, NY, United States |
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Cellular-interstitial water exchange rate is an important property of tumor, potentially associated with tumor aggressiveness and treatment response. It is not trivial to measure the water exchange rate, not to mention the challenges in measuring it at a high spatial resolution. In this study, we use the 3D-UTE-GRASP method1 to generate water exchange rate maps and compare them with those measured using diffusion time-dependent diffusion kurtosis imaging2. |
| 4739 | Evaluating Ki-67 status in breast cancer with DCE-MRI features | |
| Jing Zhou1,2, Hongna Tan1,2, and Meiyun Wang1,2 | ||
1Department of Radiology, Henan Provincial People’s Hospital & Zhengzhou University People’s Hospital, Zhengzhou City, China, 2Imaging Diagnosis of Neurological Diseases and Research Laboratory of Henan Province, Zhengzhou City, China |
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Breast cancer is one most common cancer in female worldwide. Ki-67 index is an significant biomarker whose expression status is closely related with response to chemotherapy and the disease prognosis in patients with breast cancer. This study retrospectively investigated the relationship between DCE-MRI features and Ki-67 status in breast carcinoma. The results indicated the type of washout TIC and heterogeneous type of reinforcement is more common in high Ki-67 status in patients with breast cancer. The DCE-MRI imaging features can non-invasively assess Ki-67 status in breast carcinoma before surgery. |
| 4740 | Whole volume histogram analysis of water diffusion predicts response to induction chemotherapy in patients with head and neck cancer | |
| Xi Lin1, Kai-Lun Cheng2, Hsueh-Ju Lu3, Ying-Hsiang Chou1,4, Yeu-Sheng Tyan1,2, and Ping-Huei Tsai1,2 | ||
1Department of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan, 2Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung, Taiwan, 3Division of Medical Oncology, Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan, 4Department of Radiation Oncology, Chung Shan Medical University Hospital, Taichung, Taiwan |
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Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers worldwide. While quantified ADC value has been demonstrated to reveal information on the tumor microstructure, the capbility of predicting treatment response is still controversial. This study aim to assess the ability of whole-volume histogram analysis of water diffusion to predict response to induction chemotherapy in patients with HNSCC using multishot readout-segmented MRI. Our findings indicate that the ΔminADC and ΔADC25 values, could be potential biomarkers for predicting early response to induction chemotherapy in patients with HNSCC, which may facilitate the determination of further therapeutic strategy. |
| 4741 | Optimizing TSE-T2WI MR imaging of esophageal cancer at 3T: evaluating the effects of chemical shift FS, Dixon and BLADE techniques to image quality | |
| Yawen Wang1, Zhu Wang1, Ruobing Wang1, Dong Qu1, Qinglei Shi2, and Peihua Wu1 | ||
1Department of Imaging Diagnosis, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China, 2Diagnostic Imaging, Siemens Healthcare Ltd, Beijing, China |
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This study evaluated the effects of chemical shift fat saturation (FS), Dixon and BLADE techniques to image quality in high-resolution imaging of esophageal cancer using a two-dimensional turbo spin echo (TSE) sequence. After quantitative and subjective quality comparing, TSE-T2WI-CS got higher image quality than T2WI Dixon and T2WI BLADE sequences, which demonstrated certain advantages in the diagnosis of esophageal cancer, while T2WI Dixon and T2WI BLADE sequences also has some advantages respectively. |
| 4742 | Quantitative MRI in a Phase 1 Clinical Study of the Vascular Disrupting Agent Crolibulin | |
| Andres Arias Lorza1, Harshan Ravi1, Rohit Philip2, Jean-Philippe Galons2, Theodore Trouard2, Nestor Parra1, William Read3, Raoul Tibes4, Ronald Korn5, and Natarajan Raghunand1 | ||
1Moffitt Cancer Center, Tampa, FL, United States, 2University of Arizona, Tucson, AZ, United States, 3Emory University School of Medicine, Atlanta, GA, United States, 4Perlmutter Cancer Center, New York, NY, United States, 5Imaging Endpoints, Scottsdale, AZ, United States |
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Diffusion and DCE-MRI were performed at baseline and 2-3 days following Crolibulin (EPC2407) treatment in a phase 1 clinical study of this vascular disrupting agent (VDA). Several functional parameter maps were computed and co-registered across scan dates in 11 subjects with advanced solid tumors. We measured changes in these MRI parameters that indicate cell swelling and vascular reduction following treatment. We identified multivariate combinations of changes in these MRI parameters that are correlated with the dose, AUC and Cmax of Crolibulin, respectively, information that can guide Crolibulin dosing in clinical trials of this VDA in combination with cytotoxic drugs. |
| 4743 | Biomechanical Response of Orthotopic Pancreatic Tumours to the Vascular Disrupting Agent ZD6126 Assessed by Magnetic Resonance Elastography | |
| Jin Li1, Emma L. Reeves1, Jessica K.R. Boult1, Craig Cummings1, Jeffrey C. Bamber1, Ralph Sinkus2, Yann Jamin1, and Simon P. Robinson1 | ||
1Division of Radiotherapy & Imaging, The Institute of Cancer Research, London, United Kingdom, 2Division of Imaging Sciences and Biomedical Engineering, King's College London, King’s Health Partners, St. Thomas’ Hospital, London, United Kingdom |
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MRE-derived shear stiffness |G*| of orthotopic pancreatic tumours was sensitive to a heterogeneous treatment response induced by the vascular disrupting agent ZD6126. |
| 4744 | Magnetic Resonance Elastography Predicts Early Resistance to Chemotherapy in Cancer | |
| Rami Mustapha1, Omar Darwish2, Peter Gordon1, Diana Cash3, Camilla Simmons3, Ralph Sinkus2,4, and Tony Ng1,5 | ||
1School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom, 2Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 3Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom, 4Laboratory of Vascular Translational Science, UMR1148,, INSERM-University Paris Diderot, Paris, France, 5UCL Cancer Institute, University College London, London, United Kingdom |
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There is an unmet need in cancer treatment for a non-invasive technique capable of identifying drug resistance very early in the therapeutic cycle. Our team has found that tumoral tissue changes its physical aspect as a response to therapeutic stress and that MRE can detect such changes by probing tissue biomechanics. Using a chemotherapy resistant pre-clinical model, we showed that tumors solidify as a resistance mechanism. Changes in the biomechanics were then correlated with changes Collagen and Hyaluronic acid depositions, both of which can affect the immune response. |
| 4745 | Extending an MR elastography based method for inferring total tumour pressure to multiple organs | |
| Daniel Fovargue1, Jack Lee1, Marco Fiorito1, Adela Capilnasiu1, Siri Flogstad Svensson2, Kyrre Eeg Emblem2, Philippe Garteiser3, Aime Pacifique Manzi3, Gwenael Page3, Valerie Vilgrain4, Bernard Van-Beers3, Sweta Sethi5, Ayse Sila Dokumaci1, Stefan Hoelzl1, Jurgen Henk Runge1,6, Jose de Arcos1, Keshthra Satchithananda7, David Nordsletten1,8, Arnie Purushotham7, and Ralph Sinkus1,3 | ||
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Department for Diagnostic Physics, Oslo University Hospital, Oslo, Norway, 3INSERM, University Paris Diderot, Paris, France, 4Department of Radiology, Hopital Universitaire Beaujon, Clichy, France, 5Department of Research Oncology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, 6Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, Netherlands, 7Division of Cancer Studies, King's College London, London, United Kingdom, 8Department of Biomedical Engineering and Cardiac Surgery, University of Michigan, Ann Arbor, MI, United States |
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Both interstitial fluid pressure and solid pressure of tumours have been shown to correlate with decreased efficacy of treatment and potentially with poorer prognosis. This increased fluid and solid pressure causes tumours to push on surrounding tissue, leading to changes in tissue stiffness due to nonlinear effects. A previously presented method relates the magnitude of these changes, as measured by MR elastography, to pressure using a nonlinear biomechanical model. Here, this method is extended for use on both preliminary liver and brain data which show correlation between reconstructed pressure and invasion and tumour type, respectively. |
| 4746 | Quantitative mapping for prostate cancer detection in the peripheral zone using synthetic MRI | |
| Weijing Zhang1, Huiming Liu2, Nian Lu1, Yanlin Zhu1, Long Qian3, Weiyin Liu3, Tie-bao Meng1, and Chuanmiao Xie2 | ||
1Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, China, 2Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China, 3MR Research, GE Healthcare, Beijing, China |
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Our study aims to develop and evaluate an examination using Synthesis MRI based T1, T2, and proton density (PD) mapping for multiparametric characterization of prostate cancer. T1, T2 and PD mapping exhibited excellent differential diagnosis of normal prostate, prostatitis and Prostate cancer (PCa) and discrimination performance was better than ADC. T1, T2 and PD mapping of synthetic quantitative MRI seem to be a potential method in PCa detection. It may aid prostate biopsy by means of guiding and controlling localized therapy delivery. This preliminary study showed that synthetic MRI has a potential in the detection and characterization of PCa. |
| 4747 | 3D T2 mapping with dictionary-based matching in simultaneous PET/MR: a preliminary study in prostate cancer patients | |
| Elisa Roccia1, Radhouene Neji1,2, Meghana Kulkarni3, Thomas Benkert4, James Stirling3, Sami Jeljeli3, Berthold Kiefer4, Gary Cook3, Vicky Goh3, and Isabel Dregely1 | ||
1Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Siemens Healthcare Limited, Frimley, United Kingdom, 3Cancer Imaging Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 4Siemens Healthcare GmbH, Erlangen, Germany |
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In this work we aim to show the clinical feasibility of quantitative 3D T2 mapping for tissue characterization and with the potential for prostate cancer detection. We implemented a 3D T2-prepared multi-shot gradient echo sequence and a dictionary matching approach for quantitative T2 analysis. We tested it in three biopsy-proven prostate cancer patients who underwent a simultaneous 18F-Choline PET/MR scan. Quantitative T2 matched literature values and we observed reduced T2 in lesions compared to normal peripheral zone tissue even in only moderately differentiated cancers (Gleason 3+4). Lesion location matched uptake of simultaneously acquired 18F-Choline PET. |
| 4748 | Baseline MRI detected lateral lymph node as a prognostic factor: a cohort study in pN0 low risk rectal cancer | |
| Rui-Jia Sun1, Lin Wang1, Xiao-Ting Li1, Qiao-Yuan Lu1, Xiao-Yan Zhang1, and Ying-Shi Sun1 | ||
1Beijing Cancer Hospital, Beijing, China |
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Baseline MRI detected lateral lymph node was associated with poor prognosis in patients with pN0 low risk rectal cancer. For patients with MR detected lateral lymph node of a short axis at least 8mm, the present clinical strategies may be unlikely sufficient. |
| 4749 | Prebiopsy mpMRI to Increase the Detection Rate and Reduce the Overdiagnosis of Prostate Cancer | |
| Sujeet Kumar Mewar1, Sanjay Sharma2, Sanjay Thulka3, Ekta Dhamijia3, Pradeep Kumar1, Sridhar Panaiyadiyan4, Rama Jayasundar1, S. Senthil Kumaran1, S. Datta Gupta5, N.R. Jagannathan6, Rajeev Kumar4, and Virendra kumar1 | ||
1Department of NMR, All India Institute of Medical Sciences, New Delhi, India, Ansari nagar, India, 2Department of Radio-diagnosis, RPC, All India Institute of Medical Sciences, New Delhi, India, Ansari nagar, India, 3Department of Radio-diagnosis, IRCH, All India Institute of Medical Sciences, New Delhi, India, Ansari nagar, India, 4Department of Urology, All India Institute of Medical Sciences, New Delhi, India, Ansari nagar, India, 5Department of Pathology, All India Institute of Medical Sciences, New Delhi, India, Ansari nagar, India, 6Present address.Department of Radiology, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India |
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The results of the study showed that mpMRI guided in-bore biopsy has the potential to increase the detection rate of PCa. Prebiopsy mpMRI of prostate was used for identification of suspicious areas of malignancy which were targeted for PCa detection and reducing unnecessary biopsies. The detection rate was compared with TRUS guided 12 core biopsy. The data also indicated that using prebiopsy mpMRI may also help to reduce unnecessary biopsies. The PCa detection rate of in-bore mpMRI targeted biopsy was 53.84 % compared to 37.27% for TRUS guided biopsy. |
| 4750 | Improving tumor-tissue contrast by increasing spatial resolution | |
| Jinghua Wang1,2, Kim M Cecil1, Mary Gaskill-shipley1,2, Lili He3,4, Bin Zhang5, Michael Lamba6, Lily Wang1, and Achala Vagal1 | ||
1Radiology, University of Cincinnati, Cincinnati, OH, United States, 2Brain Tumor Center, University of Cincinnati, Cincinnati, OH, United States, 3Pediatrics, University of Cincinnati, Cincinnati, OH, United States, 4The Perinatal Institute and Section of Neonatology, Perinatal and Pulmonary Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 5Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 6Radiation Oncology, University of Cincinnati, Cincinnati, OH, United States |
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There is broad agreement that increased tumor-tissue contrast significantly improves tumor visibility. It is not yet clear whether increasing spatial resolution will improve tumor-tissue contrast. In this study, we found that the increasing spatial resolution can significantly increase tumor-tissue contrast when tumor size is comparable to the spatial resolution, but provides an invariant contrast when tumor size is much larger than the spatial resolution. |
| 4751 | Assessment of Metastatic Lymph Node in Head and Neck Cancer Using Simultaneous 18F-FDG-PET, DCE-MRI, and DWI | |
| Jenny Chen1, Mari Hagiwara1, Artem Mikheev1, Henry Rusinek1, Jean Logan1, Elcin Zan1, and Sungheon Gene Kim1 | ||
1Department of Radiology, NYU School of Medicine, New York, NY, United States |
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Detecting malignant lymph nodes in the neck remains a challenge such that most patients still have to consider aggressive treatment including nodal dissection. In this study, we used positron emission tomography with 18F-fluorodeoxyglucose (18F-FDG PET), dynamic contrast enhanced magnetic resonance imaging (DCE-MRI), and diffusion weighted imaging (DWI) to assess head and neck cancer cases and consider the feasibility of using all three imaging methods in synergy to assess the regional lymph nodes. |
| 4752 | Imaging and pain response in extra vs intra-pelvic recurrent gynaecological tumours treated with MR guided HIFU: a pilot study | |
| Georgios Imseeh1,2, Sharon L Giles3, Ian Rivens4, Alexandra Taylor2, Gail ter Haar4, Erica Scurr3, and Nandita M deSouza1,3 | ||
1Imaging, Institute of Cancer Research, Sutton, Surrey, United Kingdom, 2Clinical Oncology, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 3MRI Unit, The Royal Marsden NHS Foundation Trust, Surrey, United Kingdom, 4Therapy Ultrasound, Institute of Cancer Research, Sutton, Surrey, United Kingdom |
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MR guided High Intensity Focused Ultrasound in 10 patients with symptomatic recurrent gynecological tumors treated for pain palliation resulted in higher temperatures in shallower extra-pelvic tumors compared to intra-pelvic ones (62.9±11.7oC vs. 49.4±2.8oC over median 16 sec sonication) despite lower energy delivery in them (39.1±23.6 kJ vs. 72.1±24.3 kJ). In 3 of 5 extra-pelvic tumors, an increase in the non-perfused tumor volume immediately after treatment was seen, indicating edema. At Day 30, 5 patients met the criteria of pain response, 3 with extra-pelvic tumors and 2 with intra-pelvic tumors. |
| 4753 | Identification of the dural tail sign of meningiomas with contrast-enhanced zero echo time (ceZTE) imaging | |
| Lian Jian1, Weiyin Vivian Liu2, Xiaohuang Yang 1, and Xiaoping Yu1 | ||
1Radiology, Hunan Cancer Hospital, Hunan, China, 2MR Research, GE Healthcare, Beijin, China |
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The dural tail sign is often the pathological presence of meningiomas and recently reckoned as a response to vascular congestion and edema. Zero echo time (ZTE) imaging is capable of capturing signal of tissues with relatively short T2* such as pia mater right after onset of the radiofrequency pulse. The significant enhanced rim of meningioma on ecZTE showed the meningioma were supplied by both intracranial and extracranial arteries. Contrast-enhanced ZTE might be listed as a routine imaging sequence to improve accuracy of discriminating the tumor-cortex-dura interface and offer additional clinical information such as vascular growth and supply in meningiomas. |
| 4754 | Hypoxia alters normal fibroblast metabolism towards a cancer associated fibroblast phenotype | |
| Jesus Pacheco-Torres1, Tariq Shah1, William Nathaniel Brennen2, Flonne Wildes1, 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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Fibroblasts play a pivotal role in cancer progression. In prostate cancer, fibroblasts have been shown to induce growth, confer castration-resistance, and increase metastatic potential. To further understand how fibroblasts respond to hypoxic tumor microenvironments that are frequently observed in prostate cancer, here we have characterized the effects of hypoxia on normal prostate fibroblast metabolites as detected by high resolution 1H magnetic resonance spectroscopy. We found that hypoxia induced metabolic changes in normal prostate fibroblasts that mimicked the metabolites detected in prostate cancer associated fibroblasts (CAFs), highlighting the potential role of hypoxia in the transition of normal fibroblasts to CAFs. |
| 4755 | Performance of brain MR automatic slice positioning in Metastatic Brain Tumors | |
| Jingjing Gao1, Min Du1, Shaodong Li1, Kai Xu1, and Zhongshuai Zhang2 | ||
1Department of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Xuzhou, China, 2SIEMENS Healthcare, Shanghai,China, Shanghai, China |
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This study evaluated the diagnostic sensitivities and confidence for monitoring the progression of brain metastases using brain auto-positioning and manually positioning methods. We found that automatic slice positioning do help in finding lesions by comparing initial imaging side-by-side, but the technique does not sacrifice the diagnostic sensitivity and the diagnostic confidence when comparing with the conventional manually positioning method for brain tumor. |
| 4756 | The feasibility of StarVibe in MR imaging and CT volume imaging in measuring the length of esophageal cancer after neo-adjuvant therapy on 3-T | |
| Ruobing Wang1, Zhu Wang1, Yawen Wang1, Dong Qu1, Qinglei Shi2, and Peihua Wu1 | ||
1National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China, 2MR Scientific Marketing, Diagnostic Imaging, Siemens Healthcare Ltd, Beijing, China |
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This study evaluated the length of esophageal cancer lesions after neoadjuvant treatment with MR and thin-layer CT scanning using the length of gross specimens as the gold standard. MR sequence included T2WI and contrast-enhanced StarVibe (DCE StarVibe). In this study, two readers measured the length of esophageal cancer lesions on T2WI, DCE StarVibe and CT images. It was found that contrast-enhanced Starvibe and thin-slice CT can be used to measure the lenth of esophageal cancer after neoadjuvant treatment. |
| 4757 | Radiopathological features of primary extragonadal endodermal sinus tumor | |
| Fang fang Fu1, Cuiyun Chen1, Yan Bai1, Qiuyu Liu1, Kaiyu Wang2, and Meiyun Wang1 | ||
1Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China, 2Department of MR Research China, GE Healthcare, Beijing 100000, China., Beijing, China |
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The extragonadal endodermal sac tumor (EEST) is an extremely rare malignant germ cell tumor and has a poor prognosis. Therefore, familiarity of the radiological characteristics of EESTs could help preoperative diagnosis and improve surgical management of patients. In this study, we investigate CT and MRI characteristics of 25 patients with EESTs correlated with pathological results, for better understanding and cognition in the diagnosis of EEST. Finally, we found that imaging features coupled with clinical data and the serum AFP check are helpful for the diagnosis of EEST and could improve the accuracy of the preoperative diagnosis. |
| 4758 | In vivo melanoma imaging based on melanin free radical using in vivo dynamic nuclear polarization magnetic resonance imaging | |
| Fuminori Hyodo1, Shinichi Shoda1, Tomoko Nakaji2, Hinako Eto3, Tatsuya Naganuma2, Norikazu Koyasu1, Masaharu Murata3, and Masayuki Matsuo1 | ||
1Gifu University, Gifu, Japan, 2Japan Redox Inc., Fukuoka, Japan, 3Kyushu University, Fukuoka, Japan |
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Malignant melanoma is one of the most progressive tumors in humans with increasing incidence worldwide. Dynamic nuclear polarization (DNP)-MRI is a noninvasive imaging method to obtain the spatio-temporal information of free radicals. If endogenous free radicals in melanin pigment could be utilized as a bio-probe for DNP-MRI, this will be an advantage for the specific enhancement of melanoma tissues. We report that biological melanin pigment induced a in vivo DNP effect by interacting with water molecules. In addition, we demonstrated in vivo melanoma imaging based on the DNP effects of endogenous free radicals in the melanin pigment of living mice. |
| 4759 | USPIO-Enhanced Imaging of Mediastinal Lymph Nodes in Esophageal Cancer with Sparse Radial MRI | |
| Ivo Maatman1, Didi de Gouw2, John Hermans1, Kai Tobias Block3, Marnix Maas1, and Tom Scheenen1 | ||
1Department of Radiology and Nuclear Medicine, Radboud university medical center, Nijmegen, Netherlands, 2Department of Surgery, Radboud university medical center, Nijmegen, Netherlands, 3Department of Radiology, New York University, New York, NY, United States |
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Clinical imaging techniques are unable to outline metastatic spread of esophageal cancer to nearby lymph nodes. This deficiency is predominantly due to significant motion in the upper abdomen. We radially acquired MRI data with a contrast agent of USPIO nanoparticles to image the lymph nodes of an esophageal cancer patient. After retrospective gating the data into motion phases we created images with a compressed sensing reconstruction. We also acquired traditional multi-gradient echo sequences in breath-hold and apnea. The radially acquired, compressed sensing reconstructed and motion-gated images appear of similar diagnostic quality to those obtained with traditional modalities. |
| 4760 | Value of Gd-EOB-DTPA-enhanced MRI in detecting residual hepatocellular carcinoma and evaluating regional hepatic function injury afterTACE | |
| Hai-Feng Liu1, Yong-Sheng Xu2, Qing Wang1, Ji-Lei Zhang3, and Wei Xing1 | ||
1Third Affiliated Hospital of Soochow University, changzhou, China, 2First Hospital of Lanzhou University, lanzhou, China, 3Philips Healthcare, Shanghai, China, shanghai, China |
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In this study, we sought to investigate the value of Gd-EOB-DTPA-enhanced MRI in diagnosing residual hepatocellular carcinoma (HCC) and evaluating regional hepatic function injury after transarterial chemoembolization (TACE).Gd-EOB-DTPA-enhanced MRI is a sensitive imaging in diagnosing residual HCCs, especially for the imaging feature of arterial enhancement and DWI hyperintensity, and SNR value measured on HBP can be used as a valuable index to assess regional hepatic function injury after TACE. |
| 4761 | The value of novel magnetic resonance imaging tumor response score for locally advanced rectal cancer: a prospective and multicenter study | |
| Zhen Guan1 and Ying shi Sun1 | ||
1Beijing cancer hospital, Beijing, China |
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Our study enrolled four possible predictive imaging parameters of the pTRG and establised the magnetic resonance imaging tumor response score for the theraputic evaluation and prognosis prediction of LARC. The objective and semi-quantitative mrTRS was established for the first time in this study, which is an independent factor of overall survival, distant metastasis and local recurrence. |
| 4762 | 3D amide proton transfer MR imaging for evaluation of hepatocellular carcinoma | |
| Nan Wang1, Qingwei Song1, Renwang Pu1, Mingli Gao1, Lihua Chen1, Jiazheng Wang2, Zhiwei Shen2, Liangjie Lin2, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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Amide proton transfer weighted (APTw) imaging has been proved of great value in diagnoses of brain tumors, and has attracted increased interest for evaluation of abdomen diseases. Different regions of the hepatocellular carcinoma (HCC) are associated with different pathophysiological changes. The APTw-MRI was employed in this study to evaluate the protein and polypeptide molecular levels in different regions of HCC, and a significant difference was observed between APT values measured in the center of HCC and outside the tumor. |
| 4763 | Validation of accuracy of fat-referenced PRFS thermometry on activated brown adipose tissue in rat in vivo | |
| Chuanli Cheng1, Qian Wan1, Yangzi Qiao1, Min Pan2, Changjun Tie1, Hairong Zheng1, Xin Liu1, and Chao Zou1 | ||
1Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences, Shenzhen, China, 2Shenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen, China |
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Brown adipose tissue (BAT) is a special adipose tissue which burns fat and dissipates energy in heat. As a result, heat production capacity of BAT is considered to represent its activity directly. In this study, we aimed to evaluate the accuracy of the proposed magnetic resonance fat-referenced PRFS method on BAT in vivo in rat after activated by Norepinephrine. The preliminary results show the PRFS based thermometry can describe the temperature change in activated BAT accurately, implying that magnetic resonance thermometry (MRT) is a useful tool to characterize the BAT activity. |
| 4764 | Rectal Carcinoma at 3T Assessed via iShim DWI: A Comparison of Image Quality with RESOLVE | |
| Jinrong Qu1, Hongkai Zhang2, Xu Yan3, Shaoyu Wang4, and Thomas Benkert5 | ||
1Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China, 2Radiology, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China, 3MR Scientific Marketing, Siemens Healthcare, Shanghai, China, 4MR Scientific Marketing, Siemens Healthcare, Xi'an, China, 5Application Development, Siemens Healthcare GmbH, Erlangen, Germany |
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This study evaluated a new diffusion weighted imaging (DWI) technique for assessing rectal cancer. Based on a population of 12 patients diagnosed with rectal carcinoma, images were acquired using both Read-out Segmented Echo-Planar Imaging (RESOLVE) and integrated slice-specific shimming (iShim)-DWI sequences using the same field of view (FOV) at 3T in assessment of rectal carcinoma. The quality of the images was compared based on independent review by radiologists plus parameter data analysis. The results showed that the image quality and lesion conspicuity of the iShim-DWI sequence were significantly better than RESOLVE DWI sequence in assessment of rectal carcinoma at 3T. |
| 4765 | Retrospective ADC correction of gradient nonlinearity errors in multi-center breast DWI trials: ACRIN6698 multi-platform feasibility study | |
| Dariya Malyarenko1, David C Newitt2, Lisa J Wilmes2, Ek Tsoon Tan3, Luca Marinelli4, Ajit Devaraj5, Johannes M Peeters6, Shivraman Giri7, Axel vom Endt8, Nola Hylton2, Savannah Partridge9, and Thomas L Chenevert1 | ||
1Radiology, University of Michigan, Ann Arbor, MI, United States, 2Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 3Hospital for Special Surgery, New York, NY, United States, 4GE Global Research, Niskayuna, NY, United States, 5Philips Research North America, Cambridge, MA, United States, 6Philips MR Clinical Science, Best, Netherlands, 7Siemens Medical Solutions, Boston, MA, United States, 8Siemens Healthcare GmbH, Erlangen, Germany, 9Radiology, University of Washington, Seattle, WA, United States |
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Multi-site, multi-platform clinical oncology trials seek to enhance quantitative utility of the apparent diffusion coefficient (ADC) metric by reducing technical cross-platform variability due to systematic gradient nonlinearity (GNL). Here we test feasibility of retrospective GNL correction implementation for a representative subset of subjects and systems from the ACRIN6698 breast cancer therapy response trial. GNL ADC correction based on previously developed formalism is demonstrated for trace-DWI DICOM using system-specific gradient-channel fields derived from vendor-provided spherical harmonic tables. Implemented correction substantially improves precision and removes ADC bias for DWI QC phantoms, and markedly changes ADC histogram percentiles for solid breast tumors. |
| 4766 | Combine the different DWI biological inspirations including cellularity, vascularity and structural complexity to grade rectal cancer | |
| Zhijun Geng1, Yunfei Zhang2, Shaohan Yin1, Shanshan Lian1, Haoqiang He1, Hui Li1, Chuanmiao Xie1, and Yongming Dai2 | ||
1Sun Yat-sen University Cancer Center, Guangzhou, China, 2United Imaging Healthcare, Shanghai, China |
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Biological inspirations such as cellularity, vascularity and micro-structural complexity of diffusion weighted imaging (DWI) are of great significance during clinical practice. However, scarcely has the systematic integration of these biological inspirations been applied for clinical application. This research aims to systematically integrate cellularity, vascularity and micro-structural complexity derived from diffusion kurtosis imaging (DKI) and Intravoxel Incoherent Motions (IVIM) Imaging, explore their correlations and evaluate their diagnostic performance for grading rectal cancer. Results suggested that the integration of different DWI biological inspirations provided a more comprehensive characterization of tumor, holding great potential during clinical practice. |
| 4767 | 3D Isotropic Resolution Distortion-free Diffusion-Prepared Magnitude-Stabilized bSSFP Imaging at 1.5 Tesla | |
| Yu Gao1, Ziwu Zhou1, Fei Han1, Xiaodong Zhong2, Yingli Yang1, and Peng Hu1 | ||
1Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, 2MR R&D Collaborations, Siemens Healthineers, Los Angeles, CA, United States |
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Strong spatial distortion of the DW-ssEPI sequence prevents its utilization in radiotherapy planning and treatment adaptation. In this work, a 3D diffusion-prepared magnitude-stabilized bSSFP sequence was developed and validated at 1.5T. A phase navigator was acquired during the catalyzation stage of the bSSFP readout to estimate the spatial variation of the signal phase, and a locally low-rank constrained reconstruction was developed to resolve the phase variation. The sequence was validated on a diffusion phantom and healthy volunteers. It provided submillimeter geometric fidelity and acceptable ADC accuracy, which makes it a promising candidate for treatment planning and adaptation of the brain. |
| 4768 | Measuring the repeatability of an automated Whole-Body Diffusion-Weighted MRI tumour segmentation approach in metastatic prostate cancer | |
| Antonio Candito1, Nina Tunariu1, Richard Holbrey1, Sebastian Schäfer2, Matthew R Orton1, David Collins1, Fabio Zugni3, Martin O Leach1, Matthias Baumhauer2, Matthew D Blackledge1, and Dow-Mu Koh1 | ||
1The Institute of Cancer Research, London, United Kingdom, 2Mint Medical, Heidelberg, Germany, 3IEO, European Institute of Oncology IRCCS, Milan, Italy |
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There is currently no accepted biomarker for assessing response to treatment in patients with bone disease from advanced prostate cancer (APC). Whole-Body Diffusion-Weighted-MRI (WBDWI) is emerging as a bone response biomarker in APC. However, automatic segmentation of disease from WBDWI is needed to quantify changes in WBDWI-derived biomarkers (global tumour apparent diffusion coefficient (gADC) and total tumour volume, tDV) for more reliable response assessment. We investigate the repeatability of WBMRI parameters using automatic disease delineation in APC patients. |
| 4769 | A method for automatic segmentation of the spinal cord and surrounding cerebrospinal fluid using whole-body Diffusion-Weighted MRI | |
| Antonio Candito1, Nina Tunariu1, Richard Holbrey1, Matthew R Orton1, David Collins1, Martin O Leach1, Matthew D Blackledge1, and Dow-Mu Koh1 | ||
1The Institute of Cancer Research, London, United Kingdom |
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Whole-body Diffusion-Weighted MRI (WBDWI) is an emerging tool for quantitative assessment of the response/progression of metastatic bone disease from advanced prostate cancer and myeloma. The tumour apparent diffusion coefficient (ADC) measured by WBDWI shows sensitivity for assessing treatment response, but requires accurate bone disease segmentation. Automatic delineation of the spinal cord and cerebrospinal fluid (CSF) on WBDWI enables clear separation of the spinal cord from disease within the adjacent vertebral column leading to accurate bone disease segmentation. We have developed a new edge-detection method for automatic delineation of the spinal cord and surrounding CSF from WBDWI. |
| 4770 | Controlling Apparent Diffusion and Kurtosis with Vesicle Size in Quantitative Diffusion Kurtosis Phantoms | |
| Scott D. Swanson1, Dariya I. Malyarenko1, Alan M. McLean2, Mario L. Fabiilli1, and Thomas L. Chenevert1 | ||
1Department of Radiology, University of Michigan, Ann Arbor, MI, United States, 2Department of Chemistry, University of Michigan, Ann Arbor, MI, United States |
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Chemical composition of lamellar lipid vesicles determines particle diameter and hence the size of a restricted diffusion component. Phantoms made at 1% by weight solid using cetearyl alcohol and cetyl trimethyl ammonium bromide with varying molar ratios have different apparent diffusion constants and kurtosis values. Vesicle sizes are confirmed by dynamic light scattering and electron microscopy. These molecular vesicles provide a basis for a quantitative diffusion phantom and future MR studies of nanoscopic domains. |
| 4771 | Verifying the feasibility of automatic no-reference image quality metrics in evaluation the image quality of abdominal iSim at 3T | |
| Fan WenWen1, Ou Yang Han1, Zhao XinMing1, Zhang HongMei1, Zhou Chun Wu1, Shi Qing Lei2, Feng Xiang2, Xu Xiao Juan1, Liu Kan1, Wang Xiao Ye3, Thomas Benkert Ph.D4, and Lu Tong Suo1 | ||
1National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, BeiJing, China, 2MR Scientfic marketing Siemens Healthcare, BeiJing, China, 3MR Application Siemens Healthcare, BeiJing, China, 4HC DI MR DL ONCO,Siemens Healthcare GmbH, BeiJing, China |
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This experiment proposed an automatic image quality evaluation method using no-reference image quality metrics of structural similarity index (SSIM), blind/referenceless image spatial quality evaluator (BRISQUE), perception based Image quality evaluator (PIQE) , SNR Wavelet and Contrast. The SNR Wavelet was calculated by the quotient of the image before wavelet filtering and the difference between the image before wavelet filtering and the image after wavelet filtering. The contrast was calculated using the average signal difference of three to five gray bars in the middle position. This study showed the automatic no-reference image quality metrics have potential in future in evaluation the image quality of abdominal DWI at 3T with a higher efficiency. |
| 4772 | Reducing scan time of routine prostate diffusion-weighted imaging using random matrix theory reconstruction | |
| Gregory Lemberskiy1,2, Yousef Mazaheri3, Herbert Alberto Vargas4, Ricardo Otazo3, Els Fieremans1, and Dmitry S Novikov1 | ||
1Radiology, New York University School of Medicine, New York, NY, United States, 2Microstructure Imaging INC, New York, NY, United States, 3Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 4Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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We propose Random Matrix Theory (RMT) reconstruction to reduce the scan time of prostate diffusion (DWI) by using fewer averages and still maintain image quality. RMT leverages the joint redundancy across receiver coils, voxels, and measurements to identify and remove the universal noise-only Marchenko-Pastur distribution. We find that RMT can dramatically increase the SNR of the prostate protocol, where the coefficient of variation of the RMT reconstruction for 1 average is lower than the conventional reconstruction of 14 averages. Thereby, RMT allows to reduce scan time by over 5-fold with comparable image quality. |
| 4773 | Novel glioblastoma infiltration biomarker validation by histopathologic assessment of the relation between ADC and tumor cellularity | |
| Antoine Vallatos1, Haitham Al-Mubarak2, Joanna Birch3, Adam Waldman1, William Holmes2, Anthony Chalmers3, and Gerard Thompson1 | ||
1Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom, 2Glasgow Experimental MRI Centre, Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom, 3Wolfson Wohl Translational Cancer Research Center, Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom |
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This work quantitatively and qualitatively assesses the relation between tumor related cellularity variation and ADC values. We show that the ADC slope along linear profiles perpendicular to the boundary voxels of the ADC region of interest is a a biomarker of tumor infiltration beyond the contrast enhancing regions. We demonstrate the existence of a strong relation between ADC and tumor cellularity and show that a vectorial profile analysis of ADC maps could provide with a robust biomarker of glioblastoma cell infiltration. |
| 4774 | Improved Prostate Cancer Detection: Comparison of Zoomed Diffusion- Weighted Imaging (DWI) with Conventional DWI | |
| Li ming Wei1, Shuhao Wang1, Caixia Fu2, Chunyu Jiang1, Ruiting Li1, Lei Hu1, Thomas Benkert3, and Jungong Zhao1 | ||
1Department of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixt, shanghai, China, 2MR Application Development, Siemens Shenzhen magnetic Resonance Ltd, shenzhen, China, 3MR Application Predevelopment, Siemens Healthcare, Erlangen, Germany |
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This study compared zoomed diffusion- weighted imaging (DWI) and conventional DWI of prostate lesions with respect to image quality, lesion detection capability, and diagnostic accuracy. The results demonstrate that zoomed DWI can provide improved image quality, including reduced artifacts and higher contrast-to-noise ratio (CNR), and aid in improved prostate cancer detection. |
| 4775 | Preliminary feasibility study of MR Q-space trajectory imaging (QTI) for assessment of tissue microstructure in prostate cancer | |
| Bjoern Jan Langbein1,2,3, Filip Szczepankiewicz1,2,4, Carl-Fredrik Westin 1,2, Adam Kibel2,5, Clare Tempany1,2, Martin Schostak3, Andriy Fedorov1,2, and Fiona Fennessy 1,2 | ||
1Brigham and Women’s Hospital, Department of Radiology, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Universitätsklink Magdeburg, Magdeburg, Germany, 4Clinical Sciences Lund, Lund University, Lund, Sweden, 5Brigham and Women’s Hospital, Division of Urology, Boston, MA, United States |
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Q-space trajectory imaging (QTI) has shown promise for characterisation of tissue microstructure. This study seeks to determine if QTI is feasible in assessment of prostate cancer (PCa) and to prefrom a preliminary evaluation of its role to help identify clinically significant prostate cancer (Gleason Grade group ≥2 lesions). QTI was performed in 40 men, 16 of which had biopsy-proven PCa and a PIRADS v.2.1 score ≥3. Preliminary data suggest that quantification of QTI values may indeed be helpful in men with clinically significant disease. |
| 4776 | Repeatability of ADC histogram metrics from the ACRIN6698 breast cancer therapy response trial | |
| David C Newitt1, Dariya I Marlyarenko2, Nola M Hylton1, Brian D Ross2, Lisa Wilmes1, Savannah Partridge3, and Thomas L Chenevert2 | ||
1Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States, 2Radiology, University of Michigan Medical School, Ann Arbor, MI, United States, 3Radiology, University of Washington, Seattle, WA, United States |
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Repeatability of quantitative imaging metrics is important for establishing precision of diagnostic and prognostic measurements. In the multi-center ACRIN6698 trial, mean apparent diffusion coefficient (ADC) of breast tumors showed excellent repeatability but only moderate predictive power for breast cancer therapy response. Previous single-center studies have shown improved predictive performance using alternative ADC histogram metrics related to dense tumor volume. This study evaluates repeatability for a variety of alternative ADC histogram metrics to establish confidence intervals and inform predictive models for future breast cancer therapy response analysis. |
| 4777 | Multi-site evaluation of MR breast phantom with internal MR-visible liquid crystal thermometer: initial temperature and DWI measurements | |
| Lisa J Wilmes1, David C Newitt1, Wen Li1, Evelyn Proctor1, Natsuko Onishi1, Teffany Joy Bareng1, Tom L Chenevert 2, Dariya I Malyarenko2, Patrick J Bolan3, Todor Karaulanov4, Nola M Hylton1, and Kathryn E Keenan5 | ||
1University of California San Francisco, San Francisco, CA, United States, 2University of Michigan Medical School, Ann Arbor, MI, United States, 3University of Minnesota Medical School, Minneapolis, MN, United States, 4QalibreMD, Boulder, CO, United States, 5National Institute of Standards and Technology, Boulder, CO, United States |
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A multiparametric breast phantom with an integrated MRI-“visible” liquid crystal (LC) thermometer for real-time monitoring of phantom temperature was evaluated at three imaging sites, on MRI scanners from different vendors. Short-duration MRI acquisitions were optimized for visualization of LC elements and implemented at the sites for temperature measurements before and after DWI acquisitions. MRI-measured temperature differences between different imaging experiments were reflected in different water ADC values, calculated from DWI, that were consistent with the relationship between ADC and temperature described in the literature. |
| 4778 | Can fewer diffusion-weighting data points deliver similar diagnostic performance for breast IVIM-MRI? | |
| Kurt Li1, Archana Machireddy2, Alina Tudorica2, Brendan Moloney2, Karen Oh2, Neda Jafarian2, Savannah Partridge3, Xin Li2, and Wei Huang2 | ||
1International School of Beaverton, Aloha, OR, United States, 2Oregon Health & Science University, Portland, OR, United States, 3University of Washington, Seattle, WA, United States |
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The goal of this study is to compare the diagnostic performance between intravoxel incoherent motion (IVIM) imaging parameters derived from standard biexponential IVIM model fitting and those from direct calculation using only 3 b-values. This was accomplished using Monte Carlo simulations and IVIM data acquisition and analysis from 27 patients with 28 suspicious breast lesions. Results show that at low signal-to-noise ratio, the 3 b-value approach improved parameter accuracy and provided comparable diagnostic performance in benign-malignant classification compared to the biexponential fitting approach. |
| 4779 | Investigation of tumor grade and gadolinium enhancement by tensor-valued diffusion encoding and QTI analysis: an exploratory study of gliomas | |
| Filip Szczepankiewicz1,2,3, Parikshit Juvekar2,4, Jan Brabec3, Pia C. Sundgren3, Markus Nilsson3, Alexandra Golby2,4, and Carl-Fredrik Westin1,2 | ||
1Radiology, Brigham and Women's Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Clinical Sciences Lund, Lund University, Lund, Sweden, 4Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, United States |
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Diffusion MRI is sensitive to the configuration of cell structures on the microscopic level, and may be a biomarker of tumor grade. High-grade gliomas are hypothesized to be more heterogeneous on a microscopic scale, when compared to low-grade; a feature that should be reflected in the diffusional kurtosis. To explore this premise, we use tensor-valued diffusion encoding to disentangle the isotropic and anisotropic kurtosis and relate them to tumor grade and tumor tissue that is enhancing vs. non-enhancing on post-gadolinium T1 maps. |
| 4780 | Automated RECIST Measurement and Therapeutic Response Evaluation in Osteosarcoma using Diffusion Weighted MRI | |
| Amit Mehndiratta1, Esha Badiya Kayal1, Raju Sharma2, Sameer Bakhshi3, and Devasenathipathy Kandasamy2 | ||
1Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2Department of RadioDiagnosis, All India Institute of Medical Sciences, New Delhi, India, 3Dr. BRA Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India |
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Accuracy and consistency in RECIST(Response evaluation criteria in solid tumors) measurements are crucial as it directly impacts patient treatment options. Manual RECIST measurement, requiring high expertise & attention, is time-expensive, prone-to-error, operator-subjective. we propose an automated tumor segmentation and RECIST score estimation method that uses MRI image slices as input, delineates the tumor in 3D, identifies the MRI slice with maximum-tumor-burden and then measures the tumor-diameter and RECIST1.1 score for treatment response assessment. Proposed method produced reliable and reproducible automated RECIST score measurements in current bone tumor dataset and might be useful as decision support tool saving manual-effort and reading-time. |
| 4781 | Comparison of ADC, IVIM and Kurtosis for differentiation of mesorectal lymph nodes in rectal cancer | |
| Andrada Ianuș1,2, Inês Santiago3,4, Antonio Galzerano3, Paula Montesinos5, Nuno Loução5, Javier Sanchez-Gonzalez5, Daniel C. Alexander2, Celso Matos1,3, and Noam Shemesh1 | ||
1Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal, 2University College London, London, United Kingdom, 3Champalimaud Clinical Centre, Champalimaud Centre for the Unknown, Lisbon, Portugal, 4Nova Medical School, Lisbon, Portugal, 5Philips Healthcare Iberia, Madrid, Spain |
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In this study we employed a clinically feasible diffusion MRI acquisition and modelling approach at 1.5T to characterize perfusion (IVIM) and higher order diffusion (Kurtosis) properties of mesorectal lymph nodes in rectal cancer patients upon staging. The results showed that diffusivity estimated from the IVIM-Kurtosis model was the only parameter showing significant differences between benign and malignant lymph nodes. Moreover, ROC analysis evidenced improved differentiation when adding IVIM-Kurtosis to standard T2-weighted qualitative assessment by expert radiologists. |
| 4782 | Combined DWI and T2 mapping for the Differential Diagnosis of Malignant Liver Tumors | |
| Jinrong Qu1, Hongkai Zhang2, Mingzhe Xu1, Xu Yan3, Shaoyu Wang4, and Fei Han5 | ||
1Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China, 2Radiology, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China, 3MR Scientific Marketing, Siemens Healthcare, Shanghai, China, 4MR Scientific Marketing, Siemens Healthcare, Xi'an, China, 5MR R&D Collaboration, Siemens Medical Solutions, Los Angeles, CA, United States |
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To improve the ability to differentially diagnose malignant liver tumors, quantitative apparent diffusion coefficients (ADCs) and T2 values were evaluated in 117 patients. We also included 59 patients with liver metastases (LMs) from different primary cancers. The results showed combining quantitative ADC and T2 values could make the differential diagnosis of various malignant liver tumors easier. However, this quantitative combination was not effective at improving the ability to diagnose patients with LMs. |
| 4783 | Evaluation of diffusion-weighted MR imaging for the characterization of myeloma-specific renal changes: initial results. | |
| Alexandra Ljimani1, Lukas Prehm1, Julia Stabinska1, Eric Bechler1, Romans Zukovs2, Anja Müller-Lutz1, Miriam Frenken1, Elisabeth Appel1, and Hans-Jörg Wittsack1 | ||
1Department of Diagnostic and Interventional Radiology, University Duesseldorf, Duesseldorf, Germany, 2Department of Haematology, Oncology and Clinical Immunology, University Duesseldorf, Duesseldorf, Germany |
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Myeloma-specific renal changes are of particular interest for the prognosis and therapy monitoring of patients suffering from multiple myeloma. Here we present initial results for the evaluation of myeloma-specific renal changes by diffusion-weighted MR-imaging. Renal cortical and medullar ADC and FA values of myeloma kidney exhibit a good correlation with renal function. Cortical ADC and cortical and medullar FA values show trends to reflect myeloma-specific renal changes measured by proteinuria, serum kappa/lambda-ratio and ß2-microglobulin concentration. Diffusion-weighted MR-imaging could therefore be an important tool for monitoring myeloma-specific renal changes. |
| 4784 | Diffusion-weighted imaging of thyroid nodules for the differentiation of benign from malignant lesions | |
| Jie Liu1, Meng Dai1, and Fan Yang1 | ||
1Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China |
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To investigate the feasibility and effectiveness of diffusion-weighted imaging (DWI) in thyroid for differentiating benign and malignant thyroid nodules, determining the best b-value of DWI sequence for the diagnosis thyroid nodules.This study revealed that the ADC measurements in DWI is useful for quantitatively differentiating benign and malignant thyroid nodules, and should be potential for the assessment of thyroid nodules in addition to conventional MRI protocol. |
| 4785 | Role of whole-body DWI in detection of tumour recurrence and metastasis by comparison with 18FDG PET-CT in patients with gastrointestinal cancer | |
| Sikandar Mohd Shaikh1 | ||
1Yashoda Hospitals, Hyderabad, India |
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Twenty one patients with pathologically confirmed, newly diagnosed, untreated nodal metastases were included. DW images T2-weighted and T2-weighted SPAIR images were evaluated first, We used (18)F-FDG PET/CT as the standard of reference. True-positive, false-positive, and false-negative values were evaluated on a per-lesion basis. Tumor staging based on T2-weighted and T2-weighted SPAIR imaging without DWI and then with DWI was compared. True-positive lesions were increased from 89% to 97%, false-positive lesions were increased from 3% to 6%, and false-negative lesions were decreased from 11% to 3% by the addition of DWI. |
| 4786 | Five-level scale for post treatment whole body MRI-DWI interpretation in lymphoma (Minsk scale): comparison with PET/CT Deauville scale | |
| Siarhei A Kharuzhyk1, Andrei V Dziuban 2, Edward A Zhavrid3, Elena V Sukolinskaja 3, and Olga A Kalenik 3 | ||
1Radiology, N.N. Alexandrov National Cancer Center, Lesnoy, Minsk District, Belarus, 2PET/CT, N.N. Alexandrov National Cancer Center, Lesnoy, Minsk District, Belarus, 3Chemotherapy, N.N. Alexandrov National Cancer Center, Lesnoy, Minsk District, Belarus |
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PET/CT is a standard imaging technique for tumor response assessment in lymphoma. Deauville scale is used to interpret post treatment PET/CT studies. We proposed 5-level scale for whole body MRI-DWI exams interpretation (Minsk scale) in patients with lymphoma after treatment. Five-level structure of Minsk scale makes it comparable to Deauville scale. Treatment response assessment using MRI-DWI and Minsk scale match PET/CT results in 93 of 105 (89%) patients. Survival analysis confirmed prognostic value of Minsk scale. MRI-DWI and Minsk scale could be recommended for tumor response evaluation in lymphoma as non-irradiative alternative to PET/CT. |
| 4787 | Validation of SSIFT MRI: Differentiation between brain tumor and radiation necrosis | |
| Sean P Devan1,2, Xiaoyu Jiang1,3, Guozhen Luo4, Jing Cui1, Jingping Xie1, Zhongliang Zu1,3, Joel R Garbow5,6, James D Quirk5, John A Engelbach5, Austin N Kirschner4, John C Gore1,3, and Junzhong Xu1,3 | ||
1Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 2Chemical and Physical Biology Program, Vanderbilt University, Nashville, TN, United States, 3Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 4Department of Radiation Oncology, Vanderbilt University Medical Center, Nashville, TN, United States, 5Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, United States, 6Alvin J Siteman Cancer Center, Washington University, St. Louis, MO, United States |
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SSIFT is a recently developed MRI method that provides a specific means to detect brain tumors based on their differences in cell size. However, to date SSIFT has not been adequately validated. We therefore used computer simulations and studies of cultured cells in vitro and animal models in vivo to comprehensively validate SSIFT for brain cancer imaging. The results suggest SSIFT is highly specific for cell size and can differentiate brain tumors from other brain abnormalities such as peri-tumor edema and radiation necrosis, which cannot be reliably distinguished by other current MRI methods. |
| 4788 | The value of ADC values and texture analysis in evaluating the differentiation degree of cervical squamous cell carcinoma | |
| Mingxue Zheng1 | ||
1The First Affiliated Hospital of USTC, Hefei, China |
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Single ADC value can only distinguish low-differentiated CSCC from medium-well-differentiated squamous cell carcinoma, but it cannot distinguish medium-differentiated CSCC from highly-differentiated CSCC. ADC value combined with texture features can improve the efficacy of differentiation degree of CSCC before surgery. |
| 4789 | Differentiation of Liver Abscess and Liver Metastatic Tumor: Diffusion Weighted Images Texture Analysis | |
| Nan Wang1, Ye Li1, Qingwei Song1, Xin Li2, Yan Guo3, Lizhi Xie3, Tingfan Wu2, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Translational Medicine Team, GE Healthcare, Shanghai, China, 3GE Healthcare, Beijing, China |
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Liver abscess is a serious abdominal infection that may be caused by bacteria, fungi, or parasites. The typical imaging findings of liver abscess on multiphase contrast-enhanced CT are well known, such as the “double target sign” in liver abscess, multilocular appearance, small bubbles or gas-liquid plane in the cavity. liver metastasis that develop central necrosis or cyst may mimic the appearance of liver abscess. |
| 4790 | Differential diagnosis of central lymphoma and high-grade glioma: dynamic contrast enhanced histogram | |
| Hanwen Zhang1, Guiwen Lv1, Wenjie He1, Yi Lei1, Fan Lin1, Mengzhu Wang2, Hong Zhang1, and Lihong Liang1 | ||
1Shenzhen Second People's Hospital, ShenZhen, China, 2MR Scientific Marketing, Siemens Healthineers, Guangzhou, China |
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Accurate identification between central nervous system lymphoma (CNSL) and high-grade glioma (HGG) has a great impact on the clinical treatment planning of the patients. This study uses the histogram analysis of dynamic contrast-enhanced (DCE) MRI to distinguish CNSL and HGG. Histogram features based on DCE pharmacokinetic parameters were used and achieved high diagnostic efficiency, which provides imaging features for guiding clinical treatment. |
| 4791 | DSC and DCE histogram analyses of diffuse glioma biomarkers, including IDH, MGMT and TERT, on differentiation | |
| Hanwen Zhang1, Guiwen Lv1, Wenjie He1, Yi Lei1, Fan Lin1, Mengzhu Wang2, Hong Zhang1, Lihong Liang1, and Siping Luo1 | ||
1Shenzhen Second People's Hospital, ShenZhen, China, 2Siemens Healthineers, Guangzhou, China |
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The molecular types of glioma including isocitrate dehydrogenase (IDH), O6-methylguanine-DNA methyltransferase (MGMT) and telomere reverse transcriptase (TERT), influence the therapeutic effect and prognosis of patients with diffuse gliomas. We combined DSC and histogram analysis of DCE methods in the diagnosis of diffuse glioma with different molecular types, in order to find biomarkers based on perfusion parameters to predict specific genotypes, and guide doctors to evaluate the prognosis of chemotherapy of patients. |
| 4792 | Estimation of Pharmacokinetic Parameters Using Three Carefully Selected DCE-MRI Timepoints for Breast Cancer Imaging | |
| Julie C. DiCarlo1,2 and Thomas E. Yankeelov1,2,3,4 | ||
1Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, AUSTIN, TX, United States, 2Livestrong Cancer Institutes, The University of Texas at Austin, AUSTIN, TX, United States, 3Department of Biomedical Engineering, The University of Texas at Austin, AUSTIN, TX, United States, 4Department of Diagnostic Medicine, The University of Texas at Austin, AUSTIN, TX, United States |
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A new method based on analysis of simplicial complexes (ASC) is presented to select three time points at which to sample dynamic contrast-enhanced MRI uptake curves. The technique maps expected enhancement curve amplitudes to simplicial complex vertices and searches for the best-discriminating set of time samples. Simulation results indicate it should be possible to estimate Kety-Tofts kinetic parameters from images whose acquisition times are increased above 16 seconds per volume, in a 2-minute shorter imaging time than needed for signal enhancement ratio (SER) measurement. |
| 4793 | Radiogenomic Analysis using Dynamic Histogram Parameters of MR Perfusion-weighted Imaging in Glioblastoma | |
| Kuan Chen1, Tzu-Wei Lee1, Chao-Wei Tso1, Larry Ying-Liang Lai2, Hui-Hsien Lin3, Fei-Ting Hsu4, and Hua-Shan Liu1 | ||
1Taipei Medical University, Taipei City, Taiwan, 2Taipei Medical University and National Health Research Institutes, Taipei City, Taiwan, 3CT/MR Division, Rotary Trading CO.,LTD, Taipei City, Taiwan, 4China Medical University, Taichung City, Taiwan |
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Imaging features contain information that reflects underlying pathophysiology but are distinct from that provided by assessments of tumor specimens, which can involve sampling errors because of selection bias of a localized sampling area. Most of the imaging assessment are based on the static and structural MRI and less has been done to perfusion-weighted imaging (PWI) which can reveal tumor vascularity. Time-dependent dynamic histogram parameters of PWI were derived and correlated with the survival rate and gene expression data. Our study demonstrated that the time-dependent information of dynamic histogram parameters can provide additional information regarding survival rate and GBM angiogenesis pathways. |
| 4794 | Multiparametric MRI to assess physiological changes induced by an anticancer therapy in neuroblastoma | |
| Georgia Kanli1, Delphine Sauvage2, Elodie Viry2, Manon Bosseler 2, Bassam Janji2, and Olivier Keunen1 | ||
1Translational Radiomics Group, Quantitative Biology Unit, Luxembourg Institute of Health, Luxembourg, Luxembourg, 2Laboratory of Experimental Cancer Research, Department of Oncology, Luxembourg Institute of Health, Luxembourg, Luxembourg |
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Neuroblastoma (NB) is the most common extracranial solid tumor in childhood. High-risk patients have still a poor prognosis despite the therapeutic progress. The aim of this study is to assess by Magnetic Resonance Imaging (MRI) the physiological changes (perfusion and hypoxia) induced by an experimental anticancer therapy tested in a well-characterized preclinical transgenic neuroblastoma murine model. Our results show a decrease of the Ktrans parameter and relaxivity R2* value in treated mice compared to control, suggesting an impact of such therapy on vessels normalization. |
| 4795 | Multiparametric MRI as an early outcome predictor to chemotherapy and radiotherapy in cervical cancers | |
| Jelena Mihailovic1,2, Aleksandar Tomasevic3, Fahmeed Hyder1,4, and Daniel Coman1 | ||
1(1) Magnetic Resonance Research Center (MRRC), Yale University, New Haven, CT, United States, 2(2) Department of Diagnostic Radiology, Yale University, New Haven, CT, United States, 3Institute for Oncology and Radiology Of Serbia, Belgrade, Yugoslavia, 4Center for Quantitative Neuroscience with Magnetic Resonance (QNMR), Yale University, New Haven, CT, United States |
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Pre/early intra-treatment prediction of patients with cervical cancer would enable treatment regimens to be changed at an early time point. We focused on diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MRI for quantifying of the tumor microenvironment in prediction of treatment response. Perfusion fraction multiplied by pseudo-diffusion coefficient, plasma flow, transfer constant between plasma and extracellular extravascular space were the parameters statistically significant associated with treatment outcome based on 95% CI in multivariate logistic regression model. Multi-parametric MRI techniques have the potential to assess tumor grade differentiation, and they showed additional value in detecting and therefore, predicting treatment response. |
| 4796 | Assessment of the cerebral blood flow for brain metastasis after radiotherapy using 3D arterial spin labeling MRI | |
| Chuanke Hou1, Guanzhong Gong1, Weiqiang Dou2, Weiyin Vivian Liu2, and Yong Yin1 | ||
1Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China, Jinan, China, 2GE Healthcare, MR Research China, Beijing, China |
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In the study, the relationship between three brain regions (brain metastasis, normal brain region and perituberous edema region) and radiotherapy dose gradient has been explored. 3D arterial spin labeling perfusion imaging (3D-ASL) for quantitative cerebral blood flow measurement has been used in the clinical diagnosis, preoperative differentiation and grading of brain tumors. Therefore, individualized radiotherapy for BM patients could be optimized and improve the local control rate of BM. |
| 4797 | Breast MRI kinetic and radiomic features correlate with invasive breast cancer angiogenesis | |
| Jennifer Xiao1, Michael Hirano1, Daniel Hippe1, Neal Shekar 1, Mara Rendi2, Kevin Cheung3, Habib Rahbar1, and Savannah Partridge 1 | ||
1Radiology, University of Washington, Seattle, WA, United States, 2Pathology, University of Washington, Seattle, WA, United States, 3Medicine, University of Washington, Seattle, WA, United States |
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Although kinetics are routinely incorporated into interpretation of contrast enhanced breast MRI, there is a paucity of literature supporting the association between the pathophysiologic basis of enhancement and its histopathologic correlate. Our study investigated DCE-MRI kinetic parameters and texture features analyzed with radiomics and their correlation with microvessel density as a surrogate for tumor angiogenesis. Twenty seven patients with invasive breast cancer were included in our study. Both peak SER and washout fraction and several texture features were significantly correlated with microvessel density (p<0.01), further supporting the biologic basis of malignant enhancement on breast MRI. |
| 4798 | Active Trans-Membrane Water Cycling Reflects Metabolic Activity in Breast Cancer MRI | |
| Wei Huang1, Brendan Moloney1, Xin Li1, Manoj K Sammi1, Alina Tudorica1, Megan L Troxell1, Karen Y Oh1, Kathleen A Kemmer1, Arpana Naik1, Aneela Afzal1, and Charles S Springer, Jr.1 | ||
1Oregon Health & Science University, Portland, OR, United States |
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[Shutter-speed] SS-DCE-MRI allows access to the crucial on-going cell membrane sodium pump activity previously unreachable in vivo. Literature results indicate the latter is significantly increased early in the oncogenic transformation. This suggests an approach for early cancer detection with high-resolution imaging, a very important clinical goal. Here, we analyze SS-DCE-MRI and concomitant histopathological breast cancer data obtained during neo‑adjuvant chemotherapy, with this consideration in mind. The results support the contention, but indicate a non‑invasive, non-contrast DWI method under development is likely necessary to realize this clinical potential. |
| 4799 | A Method to Improve Automated Subject Specific Arterial Input Function for DCE-MRI and to Evaluate its Effect on Glioma Grading at 3T | |
| Dinil Sasi S1, Sameer Manickam2, Rakshit Dadarwal1, Rakesh K Gupta3, and Anup Singh4,5 | ||
1Center for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India, 2KTH Royal Institute of Technology, Stockholm, Sweden, 3Fortis Memorial Research Institute, Gurugram, India, 4Indian Institute of Technology Delhi, Hauz Khas, India, 5All India Institute of Medical Science, New Delhi, India |
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Arterial-input-function(AIF) or vascular-input-function is a prerequisite for quantitative analysis of dynamic-contrast-enhanced(DCE)-MRI data. For DCE-MRI data of human brain used in the current study, previously reported automatic AIF estimation approach resulted in large variations from theoretically expected shape. In this study, DCE-MRI data of 25 treatment-naïve glioma patients were included. Proposed optimization enabled the removal of wrongly selected voxels having distorted concentration curve and hence provided an improved AIF. A substantial change in the shape of AIF was observed on optimization. Corrected AIF also resulted in significant improvement in quantitative perfusion parameters and glioma gradin |
| 4800 | Personalized DCE-MRI parametric mapping of gynecological cancer using high spatiotemporal resolution GRASP | |
| Nathanael Kim1, Yousef Mazaheri1, Yulia Lakhman2, Li Feng3, Ersin Bayram4, Alberto Vargas2, and Ricardo Otazo1,2 | ||
1Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Biomedical Engineering and Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4GE Healthcare, Waukesha, WI, United States |
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Personalized estimation of the arterial input function (AIF) in DCE-MRI has been a relatively challenging task due to the slow imaging speed of conventional MRI. As a consequence, a population AIF is usually employed for parametric mapping, which represents a group effect rather than the long-desired personalized quantification. In this work, we use the GRASP method to perform DCE-MRI of gynecological tumors with high spatial and temporal resolution and to estimate the AIF directly from the data. The personalized AIF shows higher consistency with the tumor enhancement compared to the population AIF. |
| 4801 | High-temporal-resolution dynamic contrast enhanced MRI helps the diagnosis of the clinically significant lesions of prostate | |
| Lei Hu1, Li ming Wei1, Shuhao Wang1, Chunyu Jiang1, Caixia Fu2, and Jungong Zhao1 | ||
1Department of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixt, shanghai, China, 2MR Application Development, Siemens Shenzhen magnetic Resonance Ltd, shenzhen, China |
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In clinical practice, definitions of the early enhancement are vague with different temporal resolution, and have caused some confusion. The aim of this study was to define the early enhancement in dynamic contrast enhanced (DCE)- MRI with high temporal resolution (5 sec), and to assess whether it can improve the detection of clinically significant lesions. The result indicated that the time to enhancement of clinically significant lesion was significantly different from those lesions with low grade or intermediate grade. |
| 4802 | DCE-MRI for detection of leukaemia induced bone marrow vascular permeability | |
| Ana Gomes1, Diana Passaro1, Dominique Bonnet1, and Bernard Siow1 | ||
1Francis Crick Institute, London, United Kingdom |
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Acute Myeloid Leukemia (AML) is the most common acute leukemia in adults. While the clinical presentation is quite uniform, it is a highly heterogeneous disease at the genetic level. Using intravital two-photon microscopy, we have previously showed that AML patient-derived samples belonging to different genetic subgroups induced a common pathologic bone marrow (BM) vascular phenotype. To understand the translational potential of our findings we have optimized DCE-MRI for the assessment of bone marrow vascular permeability upon leukaemia development. |
| 4803 | Reproducibility of intravoxel incoherent motion MRI of pancreas tumor and healthy pancreas | |
| TING YIN1, Chao Ma2, Shiyue Chen2, Rolf Gruetter1, and Jianping Lu2 | ||
1CIBM-AIT, École polytechnique fédérale de Lausanne, Lausanne, Switzerland, 2Department of Radiology, Changhai Hospital of Shanghai, Shanghai, China |
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Intravoxel Incoherent Motion (IVIM) model has shown the potential of contrast free perfusion estimation in pancreatic diseases study, while IVIM quantification is challenging for conventional free-breathing DWI data due to the presence of high level noise. In this study, we demonstrated that motion correction and denoising can improve the sampling accuracy which allows for pixel-wise parametric maps with acceptable reproducibility. |
| 4804 | Evaluate the Feasibility of Delayed Contrast Extravasation MRI to Delineate Sub-volume Target in brain tumors Radiotherapy. | |
| Yinxing Wang1, Guanzhong Gong1, Weiqiang Dou2, Weiyin Vivian Liu2, and Yong Yin1 | ||
1Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China, 2GE Healthcare, MR Research China, Beijing, China |
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Delayed contrast extravasation MRI (DCEM) could could differentiate regions of contrast agent clearance as an active tumor from regions of contrast agent accumulation as non-tumor tissues. By comparing the sub-volume of active tumor and non-tumor from DCEM with non-liquefaction necrosis and liquefaction from T2WI, our results showed that compared to liquefaction necrosis regions of the T2WI, the DCEM has advantages in distinguishing liquefaction area and could clearly differentiate sub-volume of active tumor from non-liquefaction. The application of DCEM was thus feasibly to guide the delineation of sub-volume target in brain tumor. |
| 4805 | Lipid composition in breast tumours using double quantum filtered correlation spectroscopy is associated with lymphovascular invasion (LVI) | |
| Sai Man Cheung1, Ehab Husain2, Yazan Masannat3, Vasiliki Mallikourti1, Steven Heys3, and Jiabao He1 | ||
1Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom, 2Pathology Department, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom |
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Lymphovascular invasion (LVI) is associated with increased recurrence and metastatic risk in breast cancer. LVI amplifies the impact of genetic mutations on lipid regulation, leading to the deregulation of lipid composition. Currently LVI is estimated using the biopsy sample, while definitive LVI can only be determined after surgery, precluding patients on neoadjuvant chemotherapy or hormonal treatment. Double quantum filtered correlation spectroscopy (DQF-COSY) is a method capable of accurate non-invasive lipid composition quantification. We therefore examined the role of lipid composition using DQF-COSY in differentiating the status of LVI. |
| 4806 | Polyunsaturated fatty acids (PUFA) depletion in high serotonin turnover breast tumours using advanced magnetic resonance spectroscopy (MRS) | |
| Sai Man Cheung1, Ehab Husain2, Yazan Masannat3, Klaus Wahle4, Steven Heys3, and Jiabao He1 | ||
1Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom, 2Pathology Department, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 4Institute of Pharmacy and Biological Sciences, University of Strathclyde, Glasgow, United Kingdom |
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Locally advanced breast cancer is the most common cause of death in middle-aged women, with research focus shifted to preventative medicine. Polyunsaturated fatty acids (PUFA) is depleted in tumour initiation to sustain an inflammatory tumour microenvironment conducive to macrophage recruitment. Serotonin modulates macrophage activity and is a marker of poor 10-year survival in women with breast cancer. The relationship between serotonin and PUFA demands close examination for preventative treatment optimisation. We applied high sensitivity double quantum filtered MRS to accurately quantify PUFA between serotonin low and high breast tumours, and found PUFA depletion is associated with increased serotonin turnover. |
| 4807 | Deregulation of lipid metabolism in postmenopausal breast cancer patients using double quantum filtered correlation spectroscopy (DQF-COSY) | |
| Sai Man Cheung1, Vasiliki Mallikourti1, Yazan Masannat2, Tanja Gagliardi3,4, Steven Heys2, and Jiabao He1 | ||
1Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom, 2Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3Clinical Radiology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 4Radiology, Royal Marsden Hospital, London, United Kingdom |
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Deregulation of lipid metabolism has been shown in BRCA1/2 genetic mutation carriers. Mammary adipose tissues in postmenopausal women are the primary sites of oestrogen production linked to tumour initiation and progression. Therefore, lipid composition in postmenopausal breast plays a key role in breast cancer monitoring and subsequent development of prevention strategies. Previous studies focused on cell or animal models and invasive lipid extraction methods, while conventional MRS is inadequate in complete lipid composition measurement. We hypothesised that lipid composition in peri-tumoural breast adipose tissue is affected by the presence of tumour in postmenopausal women, using a non-invasive 2D MRS approach. |
| 4808 | 2-Hydroxyglutarate detection with semi-LASER and MEGA-sLASER at 7T | |
| Zahra Shams1, Uzay Emir2, Wybe J.M. van der Kemp1, Dennis W.J. Klomp1, Jannie P. Wijnen1, and Evita Wiegers1 | ||
1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2School of Health Sciences, College of Health and Human Sciences, Purdue University, West Lafayette, IN, United States |
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This study evaluates the performance of semi-LASER and MEGA-sLASER for 2-hydroxyglutarate (2-HG) detection at 7T. We compared a semi-LASER with TE of 110ms with editing of 2-HG at 4.02 ppm using MEGA-sLASER with TE of 74ms in phantoms with different concentrations of 2-HG. Both methods were able to detect 2-HG concentrations as low as 0.5mM. MEGA-sLASER provided a clean 2-HG signal. Contrary, the fact that the fitting accuracy for 2-HG in semi-LASER is similar to MEGA-sLASER promotes to choose for a semi-LASER implementation. |
| 4809 | Association of tumor metabolites with inflammation in the glioma microenvironment studied with HRMAS NMR | |
| Selin Ekici1 and Candace C. Fleischer1 | ||
1Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States |
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Evidence suggests that inflammation and metabolic dysregulation in the tumor microenvironment are related, yet the mechanistic relationship is not well characterized. Our goal was to utilize ex vivo 1H high resolution magic angle spinning (HRMAS) nuclear magnetic resonance (NMR) spectroscopy to study the relationship between metabolism and tumor inflammation in gliomas. We observed that multiple inflammatory markers were positively associated with glutamine, glutathione, and lactate. C-reactive protein was positively associated with myo-inositol and aspartate. These results support the hypothesis that inflammation may drive metabolic changes in gliomas and supports the use of HRMAS NMR in studies of the tumor microenvironment. |
| 4810 | Quantification of Fructose Metabolism in Hepatocellular Carcinoma | |
| Sui Seng Tee1, Roozbeh Eskandari2, Nathaniel Kim2, Arsen Mamakhanyan2, and Kayvan Keshari2 | ||
1Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 2Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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Fructose metabolism utilizes a distinct set of transporters and enzymes and is limited to the liver, kidney and small intestines. Key to the ability to break down fructose is the enzyme ketohexokinase (KHK), that phosphorylates fructose to fructose-1-phosphate (F1P). In this study, we demonstrate that fructose metabolism is downregulated in a mouse model of hepatocellular carcinoma (HCC). Based on this novel observation, we use 13C nuclear magnetic resonance (NMR) to quantify altered hepatic fructose metabolism. We demonstrate significantly decreased F1P production in HCC, providing justification for developing non-invasive methods to detect fructose metabolism. |
| 4811 | Elevation in lactate concentration and intracellular pH is less pronounced in IDH mutant compared to IDH wildtype glioma patients | |
| Katharina Wenger1, Joachim P. Steinbach2, Oliver Bähr2, Ulrich Pilatus1, and Elke Hattingen1 | ||
1Neuroradiology, Goethe-University Frankfurt, Frankfurt, Germany, 2Neurooncology, Goethe-University Frankfurt, Frankfurt, Germany |
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Preclinical evidence points towards a metabolic reprogramming in isocitrate dehydrogenase mutated tumor cells with downregulation of the expression of genes that encode for glycolytic metabolism. We non-invasively investigated lactate concentrations, as well as intracellular pH using 1H and 31P MRS in a glioma patient cohort. At TE 97 ms, lactate peaks can be fitted with little impact of lipid/macromolecule contamination. We found a significant difference in lactate concentrations and intracellular pH comparing tumor voxels of IDH mutatet to IDH wildtype patients, with reduced lactate levels and near normal intracellular pH in IDHmut patients. |
| 4812 | Glioblastoma Characterization with Hyperpolarized [1-13C]Pyruvate MRSI, DWI and 18F-FDG PET | |
| Geoffrey J. Topping1, Roland E. Kälin2, Linzhi Cai2, Rainer Glaß2, and Franz Schilling1 | ||
1Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, 2Neurosurgical Research, University Clinics Munich, Ludwig Maximilian University, Munich, Germany |
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Multimodal imaging has the potential for non-invasive assessment of imaging biomarkers that guide and monitor treatment of glioblastoma tumours. In this work, an imaging protocol for characterization of implanted patient-derived and murine glioblastoma tumours (GBM2, GBM14, and U87) was established using T2-weighted MRI, DWI, hyperpolarized 13C-pyruvate-lactate CSI, and 18F-FDG PET. Tumours were visible in T2-weighted MRI as high-signal regions with poorly defined borders. Compared with shams and non-tumour brain, all tumour lines had elevated ADC, 18F-FDG Ki, and lactate-to-pyruvate ratio. GBM2 had particularly high and variable lactate-to-pyruvate ratio, despite relatively low variability in ADC. |
| 4813 | Antitumor effects of NK-derived nanovesicles in a B-cell lymphoma preclinical model by integrating in vivo MRI and ex vivo MRS | |
| Rossella Canese1, Maria Elena Pisanu1, Mattea Chirico1, Daniele Macchia2, Massimo Spada2, Egidio Iorio1, Serena Cecchetti3, Cristina Federici4, and Luana Lugini4 | ||
1NMR and MRI unit, Core facilities, Istituto Superiore di Sanita', Rome, Italy, 2National Center for animal experimentation and welfare, Istituto Superiore di Sanita', Rome, Italy, 3Microscopy unit, Core facilities, Istituto Superiore di Sanita', Rome, Italy, 4Oncology and Molecular Medicine Department, Istituto Superiore di Sanita', Rome, Italy |
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NK cells (NK) are the first barrier of body defense from tumor cells. Individuals with low NK activity display an increased risk to develop cancer. Extracellular vesicles are secreted vesicles possessing immune regulatory properties. We demonstrated that exosomes produced by NK cells (isolated from blood of healthy donors) display a cytotoxic activity against tumors in vitro. In this work we monitor the effects of NKEVs treatment by in vivo MRI/MRS and ex vivo MRS metabolomics in a xenograft model of lymphoma. We found altered lipid and redox metabolism suggesting taurine and lipid signals as potential biomarkers of NKEVs response |
| 4814 | Augmented magnetic resonance spectra to differentiate metastasis from glioblastoma brain tumours | |
| Nikolaos Dikaios1 | ||
1University of Surrey, Guildford, United Kingdom |
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Metabolic processes monitored by MRS precede micro-structural changes visualised by imaging. The high noise and the overlapping spectra of metabolites affect the accurate quantification of metabolite’s concentration. This work hypothesizes that each tissue has a unique metabolic fingerprint and a diagnostic model could be built based on tissue spectra. The MRS datasets however are usually small and acquired with different parameters. This work quantum-mechanically simulates spectra and uses the augmented spectra to train a model that can differentiate metastasis from glioblastoma brain cancer. The trained model was tested on acquired spectra from the INTERPRET single-voxel dataset and illustrated a ROC-AUC=0.90. |
| 4815 | Effect of hypoxia and choline kinase inhibitor on choline metabolism of brain tumour cells using high resolution ¹H NMR | |
| Claire Louise Kelly1, Sofya A Osharovich2, Marie Phelan3, Violaine See3, Edward J Delikatny2, and Harish Poptani1 | ||
1Center for Preclinical Imaging, University of Liverpool, Liverpool, United Kingdom, 2Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 3Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom |
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High resolution ¹H NMR of cell extracts was used to assess the effects of hypoxia on choline metabolism in four glioblastoma (GBM) cell lines (9L, F98, U87 and U251). In addition, the effects of hypoxia on the efficacy of JAS239, a choline kinase alpha (ChoKα) inhibitor, was also assessed in these cell lines. Hypoxic preconditioning resulted in a decrease in phosphocholine (PC) in 9L, F98 and U251 cells. JAS239 significantly decreased PC/glycerophosphocholine (GPC) ratio in the hypoxic 9L and U251 cells compared to when these cells were grown in normoxic conditions. |
| 4816 | The correlation analysis of 3D APT with the parameters of 3D MR spectroscopy in glioma patients: an image-guided intraoperative pilot study | |
| Xiaoluo Zhang1, Dongxiao Zhuang1, Jilei Zhang2, Jianqing Sun2, Weibo Chen2, and Jinsong Wu1 | ||
1Glioma Surgery Division, Neurologic Surgery Department, Huashan Hospital, Fudan University, Shanghai, China, 2Clinical Science, Philips Healthcare, Shanghai, China |
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Our study is the first research to investigate the relationship between 3D APT and 3D MRS on individual level. The APTw values were correlated with the metabolite concentrations or ratios of MRS, especially Cho concentration. We proposed that 3D APT can be potentially used in intra-operation system to guide surgical biopsy and tumor resection. |
| 4817 | Investigating the correlation and repeatability of radiomic features derived from Apparent Diffusion Coefficient maps of Soft-Tissue Sarcoma | |
| Imogen Thrussell1, Jessica Winfield1,2, Matthew Orton1, Aisha Miah1,3, Shane Zaidi3, Amani Arthur1, Khin Thway3,4, Dirk Strauss5, David Collins1, Dow-Mu Koh1,2, Uwe Oelfke1, Paul Huang6, Christina Messiou1,2, and Matthew Blackledge1 | ||
1Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, 2Department of Radiology, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 3Sarcoma Unit, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 4Department of Pathology, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 5Department of Surgery, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 6Division of Molecular Pathology, The Institute of Cancer Research, London, United Kingdom |
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Soft-tissue sarcomas (STS) are highly heterogeneous and, except for myxoid liposarcomas, changes in size following radiotherapy do not correlate with outcomes or histopathological response. Therefore, conventional size-based criteria fail to accurately assess response. In this study we explore the correlation and repeatability of radiomic features derived from Apparent Diffusion-Coefficient maps in a cohort of 27 patients with confirmed STS with a variety of histopathological subtypes. 19 features were identified that had good repeatability and were considered uncorrelated using hierarchical clustering. These features could be used in future studies to investigate heterogeneous response of STS to radiotherapy. |
| 4818 | Surveillance of the Morphologic and Metabolic Features of the Tumor Microenvironment During Progression of Glioblastoma | |
| John J Walsh1, Maxime J Parent2, Lucas C Adam2, Muhammad H Khan1, Sandeep K Mishra2, Samuel K Maritim1, Daniel Coman2, and Fahmeed Hyder1,2 | ||
1Department of Biomedical Engineering, Yale University, New Haven, CT, United States, 2Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States |
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The morphologic and metabolic basis of the tumor microenvironment is multifaceted, and this complexity is magnified throughout tumor progression. Therefore longitudinal surveillance of this habitat during tumor growth will improve drug targeting. We used translational MRI methods in glioblastoma models to investigate time-dependent remodeling of the extracellular matrix and microvasculature in relation to interstitial acidification. With tumor progression, we detected extracellular volume reduction and vascular plasma flow increase, but extracellular pH and vascular permeability remained unchanged. These differential dynamic processes regulating morphologic and metabolic transformations of the tumor microenvironment suggest distinct time windows for mechanistic therapeutic targeting. |
| 4819 | A deep learning model to predict near pathological complete response for rectal cancer by the diffusion MRI data before chemoradiotherapy | |
| Hai-Tao Zhu1, Xiao-Yan Zhang1, Yan-Jie Shi1, Xiao-Ting Li1, and Ying-Shi Sun1 | ||
1Peking University Cancer Hospital, BEIJING, China |
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A deep learning model is proposed to predict near pathological complete response by diffusion MRI data before chemoradiotherapy. 624 participants are included in this study with 424 for training and 200 for testing. The area under the curve of receiver operating characteristic is 0.800 (95%CI: 0.735-0.851). The sensitivity is 0.700 (95%CI: 0.568-0.812), the specificity is 0.871 (95%CI: 0.804-0.922). Compared with the strategy that uses both pre-NCRT and post-NCRT data, the method may predict the pathological results at an earlier time point before the initiation of NCRT, which enables a chance to modify the NCRT plan if needed. |
| 4820 | Prediction of therapeutic response of HCC to transcatheter arterial chemoembolization based on pretherapeutic dynamic enhanced MRI radiomics | |
| Ying Zhao1, Ailian Liu1, Jingjun Wu1, Nan Wang1, Dahua Cui1, Tao Lin1, Qingwei Song1, Xin Li2, Tingfan Wu2, and Yan Guo3 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Translational Medicine Team, GE Healthcare, Shanghai, China, 3GE Healthcare, Beijing, China |
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In the current study, dynamic enhanced MRI radiomics was demonstrated to be capable to predict therapeutic response in hepatocellular carcinoma treated with transcatheter arterial chemoembolization, which will provide more prognostic information and facilitate clinical management. |
| 4821 | Differential diagnosis of hepatic benign and malignant tumors using texture features based on multiple high b-values DWI | |
| Ying Zhao1, Jiazheng Wang2, Zhiwei Shen2, Zhongping Zhang2, Nan Wang1, Lihua Chen1, Dahua Cui1, Tao Lin1, Qingwei Song1, Renwang Pu1, Bingbing Gao1, and Ailian Liu1 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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This work aimed for multiple high b-values DWI texture features based strategy to identify hepatic benign and malignant tumors, which may provide more abundant and comprehensive quantitative information and promote clinical decision-making. The results showed that texture features based on ultra-high b value (b = 3000 s/mm2) DWI images can achieve the best result (combined AUC: 0.960; sensitivity: 92.0%; specificity: 92.3%), forming a valuable strategy for clinical practice. |
| 4822 | DWI-based Radiomics Nomogram Predicting Recurrence-Free Survival in Patients with Muscle-Invasive Bladder Cancer | |
| Shan Zhang1, Guangyu Wu1, Guiqin Liu1, Yongming Dai2, and Yunfei Zhang2 | ||
1Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China, 2United Imaing Healthcare, Shanghai, China |
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We hypothesized that the radiomics features obtained from DWI holds great potential in improving the recurrence risk stratification of MIBC patients. Thus, we developed a radiomics nomogram and compared its performance with clinicopathological nomogram and radiomics signature in individual RFS prediction. Our results showed that the radiomics nomogram, which incorporates radiomics signatures, clinical characteristics and molecular characteristics, has greater potential to serve as a biomarker to estimate the RFS in MIBC patients. In conclusion, a radiomics nomogram may serve as a potential tool to facilitate individualized prediction of recurrence in patients with MIBC. |
| 4823 | Neural-network discrimination of human plasma samples to detect pancreatic cancer | |
| Meiyappan Solaiyappan1, Santosh K Bharti1, Mohamad Dbouk2, Paul T Winnard1, Michael Goggins2,3, and Zaver M. Bhujwalla1,3,4 | ||
1The Russell H. Morgan Dept of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Departments of Pathology and Medicine, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 43Radiation Oncology and Molecular Radiation Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States |
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The insidious growth of pancreatic cancer is a major factor contributing to its lethality. Only 10-15% of pancreatic cancers are resectable by the time they are detected. Early detection of pancreatic cancer through routine screening is clearly an unmet clinical need. Here we have applied neural network analysis to 1H magnetic resonance spectra of human plasma samples to differentiate between healthy subjects (control), subjects with benign lesions, and subjects with pancreatic ductal adenocarcinoma (PDAC). Our data support developing a neural-network approach to identify PDAC from 1H MRS of plasma samples. |
| 4824 | Texture Analysis in Chemotherapy Response Evaluation in Osteosarcoma: A Preliminary Study | |
| Esha Baidya Kayal1, Devasenathipathy Kandasamy2, Raju Sharma2, Sameer Bakhshi3, and Amit Mehndiratta1,4 | ||
1Centre for Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi, India, 2Radio Diagnosis, All India Institute of Medical Sciences, New Delhi, New Delhi, India, 3Department of Medical Oncology, Dr. B.R. Ambedkar Institute-Rotary Cancer Hospital (IRCH), All India Institute of Medical Sciences, New Delhi, New Delhi, India, 4Department of Biomedical engineering, All India Institute of Medical Sciences, New Delhi, New Delhi, India |
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Recently texture analysis(TA) of MR images has also shown promising results in evaluating response to therapy in different types of cancer. TA uses mathematical approach to characterize the spatial distribution of signal intensity variations in an image and extracts quantitative features thus may infer clinically relevant information about tissue microstructure and its subtle changes during treatment. We examined efficacy of MRI based statistical TA methods in evaluating chemotherapy response in Osteosarcoma early in the course of treatment with correlation to histological response. Experimental results showed statistical TA methods may be effectively used in evaluating chemotherapy response in patient with Osteosarcoma. |
| 4825 | Application Value of Radiomics Approach in Predicting Chromosomal Arms 1p/19q in Low-Grade Gliomas | |
| Wei Wei1, Fan Li Hua1, Nan Yu1, and Yong Yu1 | ||
1Affiliated Hospital of Shaanxi University of Chinese Medicine, XianYang, China |
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Genes play a crucial role in the development, progression and therapeutic outcome of tumors. Several studies have linked codeletion of chromosomal arms 1p/19q in LGG with positive response to chemotherapy and radiotherapy and longer progression-free survival, so 1p/19q status of LGG can impact optimal therapy options. Unfortunately, determining 1p/19q status requires surgical biopsy to identify chromosomal deletion. Radiomics, which extracts high-throughput features from medical images, showing great advantages in tumor phenotype classification, treatment options and prognosis analysis. |
| 4826
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Deep Learning to Discriminate Nasopharyngeal Carcinoma and Benign Hyperplasia on MRI | |
| Lun M. Wong1, Ann D. King1, and Qiyong Ai1 | ||
1Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, Hong Kong |
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Benign hyperplasia is a common finding in the adenoid and walls of the nasopharynx and may hamper the detection of early-stage nasopharyngeal carcinoma (NPC) on MRI. In this study we aim to utilize deep learning to discriminate early-stage NPC from benign hyperplasia using T2-weighted-fat-suppressed MR images. We tested our method on a dataset of 413 cases, comprising 203 with early-stage NPC confined to the nasopharynx and 210 with benign hyperplasia. After training with validation (n=350 and n=13 respectively) followed by testing (n=50), the network achieved a promising result with a sensitivity of 100% and specificity of 83% for NPC detection. |
| 4827 | Combined SENSE and Compressed Sensing to Enhance Radiation Therapy MR Simulation | |
| Kristen Zakian1, Neelam Tyagi1, Victoria Yu1, Alex Dresner2, Paul Romesser3, and Ricardo Otazo1 | ||
1Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Philips Healthcare, Best, Netherlands, 3Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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We evaluated a combination of SENSE acceleration and compressed sensing in the MR simulation workflow to reduce scan time and improve image quality and anatomical coverage. Imaging series were performed with SENSE-only and with a combined SENSE+compressed sensing (CS) software package. CS resulted in an average reduction of 28% in single-series scan time with negligible changes in image quality and the ability to contour structures for RT treatment planning. In addition, CS permitted pulse sequence modifications which reduced respiratory artifacts, improved visibility of the prostatic urethra, and eliminated the need for a Foley catheter in prostate cancer patients. |
| 4828 | Accelerated T2* Mapping in prostate cancer on an MR-Linac | |
| Wajiha Bano1, Mohammad Golbabaee2, and Andreas Wetscherek1 | ||
1Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom, 2Computer Science Department, University of Bath, Bath, United Kingdom |
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T2* mapping can be used to characterize tumour hypoxia, which is associated with therapy resistance. We show the feasibility of fast T2* mapping in prostate cancer patients on a 1.5T MR-Linac. The undersampled data was reconstructed by combining parallel imaging and a sparsifying transform with an iterative model-based reconstruction. The method was tested on a multi-compartment phantom and two prostate cancer patients with retrospective undersampling. With the proposed method T2* maps can be acquired in under five minutes. We demonstrated the feasibility of daily quantitative MRI over the course of radiotherapy on an MR-Linac, to characterize treatment response. |
| 4829 | Study on Intensity Modulated Radiotherapy Plan Design of Nasopharyngeal Carcinoma based on MR Images | |
| Xinsen Yao1, Guanzhong Gong1, Jianxin Ren1, and Yong Yin1 | ||
1Shandong Cancer Hospital and Institute, Jinan, China |
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To study the feasibility of intensity modulated radiotherapy (IMRT) plan which designed for nasopharyngeal carcinoma (NPC) based on MRI-only comparing the dosimetric difference of different CT value assignment methods on dose calculation. Pseudo CT were generated by different assignment methods based on simulation CT. The areas with a difference of more than 1% were mainly distributed in the air cavity, bone periphery and the skin. The assignment method of each tissue and organs were set to Populate CT value compared with other methods has the least influence on the dose calculation of NPC-IMRT plan, which could meet the clinical requirements. |
| 4830 | Planning Reconstruction of Interstitial High Dose Rate Brachytherapy Needles based on MRI Data | |
| Victoria Newton1, William McGuire2, Rachel Wills1, Gerry Lowe1, and N. Jane Taylor2 | ||
1Radiotherapy Physics, Mount Vernon Hospital, Northwood, United Kingdom, 2Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, United Kingdom |
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Interstitial brachytherapy needles in High Dose Rate radiotherapy patients can be visualised clearly and accurately within clinical tolerance values using just a proton-density StarVIBE sequence instead of registered CT and MR images. This could lead to a reduced radiation dose MR-only workflow without compromising the quality of treatment and a reduction of errors in image registration. |
| 4831 | Does the timing of immunotherapy with stereotactic radiosurgery affect the outcome of patients with brain metastases? | |
| Endre Grøvik1, Line Brennhaug Nilsen1, Ingrid Digernes1, Cathrine Saxhaug1, Anna Latysheva1, Oliver Geier1, Birger Breivik2, Dag Ottar Sætre3, Kari Dolven Jacobsen1, Åslaug Helland1, and Kyrre Eeg Emblem1 | ||
1Oslo University Hospital, Oslo, Norway, 2Hospital of Southern Norway, Kristiansand, Norway, 3Østfold Hospital Trust, Kalnes, Norway |
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The introduction of immunotherapy (IMTx) has led to a paradigm shift in the treatment of patients with metastatic cancer. Particular interest has been directed towards combining IMTx with stereotactic radiosurgery (SRS) to improve treatment response. Lately, studies have indicated that the timing of IMTx with SRS may be crucial for the patient outcome, suggesting that there is a window of opportunity to induce an optimal synergy between irradiation and immune agents. To this end, this work investigates whether the timing of IMTx with SRS affects the outcome of patients with brain metastases. |
| 4832 | COMPARISON OF 4D-CT AND 4D- MRI FOR LUNG TUMOUR MOTION MEASUREMENT: A PHANTOM STUDY. | |
| Terry Edward Perkins1, Jonathan Goodwin2, and Peter Greer3 | ||
1Sydney university, Rankin Park, Australia, 2Radiation Oncology, Calvary Mater Newcastle, Newcastle, Australia, 3Radiation Oncology, Calvary Mater Hopsital Newcastle, Newcastle, Australia |
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Using a golden angle radial sampling technique (Siemens WIP#1104), the motion range detection capabilities of 4D-MRI were compared to 4D-CT simulating lung tumour motion using a MODUS QA 4D MRI phantom. Thirteen patient respiratory patterns were used to simulate realistic breathing motion. Repeated measures ANOVA (F=0.052, p=0.948), a post-hoc paired t-test (all p>0.677) and the RMSE (RMSE12 = 1.9 mm) were used to evaluate differences between the detected motion ranges. Results showed no statistically significant difference between the motion range detection capabilities of 4D-CT and 4D-MRI in the phantom. This observation provides evidence for further evaluation in a patient population. |
| 4833 | Magnetic resonance imaging in the evaluation of dose distribution of a radiotherapy plan for brain metastases | |
| Jianxin Ren1, Guanzhong Gong1, Xinsen Yao1, Weiqiang Dou2, Weiyin Vivian Liu2, and Yong Yin1 | ||
1Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China, 2GE Healthcare, MR Research China, Beijing, China |
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In this study, a protocol of pseudo CT values obtained on MRI for treatment planning was proposed. The tissue or organ-specific CT values in representation of the electron density acquired from 35 patients with brain metastases were assigned to MRI. The dose distribution was recalculated, and the dosimetric differences between a new plan and an original plan were compared. The results showed that the dose distribution errors were basically controlled under 2.0% with pseudo CT values to bones, cavities and soft tissues, and lowered than 1.5% with pseudo CT values to different tissues and organs. |
| 4834 | MR-guided-radiotherapy gating using 3D positional probability volume derived from time-resolved volumetric MRI: A conceptual study | |
| Jing Yuan1, Oi Lei Wong1, Yihang Zhou1, Yick Wing Ho1, Kin Yin Cheung1, and Siu Ki Yu1 | ||
1Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong |
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In this study, we proposed a conceptual MRgRT gating strategy using the organ’s motion positional probability volume (PPV) derived from the time-resolved volumetric MRI, aiming to improve treatment accuracy and efficiency. We demonstrated it for the scenario of kidney MRgRT using prospectively acquired CAIPIRINHA-accelerated VIBE MRI data at 1.5T from 7 healthy volunteers. Gating efficiencies of the proposed method were compared to those using the conventional 40%-60% respiratory phase gating. The results showed that the proposed method achieved significantly higher gating efficiency with similar target positional accuracy, indicating its potential value in the future individualized adaptive MRgRT. |
| 4835 | MRI based measurement of pancreas motion reduction with an MR- and particle therapy compatible abdominal corset | |
| Sergej Schneider1,2,3, Sarah Stefanowicz1,3,4, Christina Jentsch1,4,5, Fabian Lohaus4, Chiara Valentini4, Esther G. C. Troost1,3,4,5,6, and Aswin L. Hoffmann1,3,4 | ||
1Oncoray – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 2Technische Universität Dresden, Carl Gustav Carus Faculty of Medicine, Dresden, Germany, 3Institute of Radiooncology-OncoRay, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 4Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, 5National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany, German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, and Helmholtz Association / Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany, 6German Cancer Consortium (DKTK), partner site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany |
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Particle beam therapy (PBT) is extremely sensitive to patient setup uncertainties and anatomical variations prior to and during dose delivery. Organ motion mitigation strategies are hence required to deliver the dose with high precision and accuracy. In this study, an MR- and PBT-compatible patient-individualized abdominal corset was developed and tested in 9 patients with abdominal cancer for its efficacy to reduce respiratory-induced motion. Pancreas motion was analyzed with and without corset by means of orthogonal 2D-cine and 4D-MRI. |
| 4836 | MRI guided radiation therapy near metal implants in a 1.5T MR-Linac system | |
| Fahed Alsanea1, Teodor Stanescu2, Yao Ding1, Sastry Vedam1, Jinzhong Yang1, Seungtaek Choi1, Anuja Jhingran1, and Jihong Wang1 | ||
1UT MD Anderson Cancer Center, Houston, TX, United States, 2Princess Margaret Cancer Centre, Toronto, ON, Canada |
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MR-Linac systems are useful to visualize small soft-tissue targets for radiotherapy (RT) treatments. Geometric distortion caused by metal implants can interfere with the accuracy of the RT plan design and delivery. In this study, we simulated the spatial distortions caused by a hip prosthesis and determined its impact on surrounding tissues. |
| 4837 | The Investigation of Internal Target Volume（ITV）Definition For Radiation Therapy of Hepatocellular Carcinoma Guided Using 4D-MR-T2 Images | |
| Yinxing Wang1, Jianxin Ren1, Guanzhong Gong1, Weibo Chen2, Marijn Kruiskamp3, and Yong Yin1 | ||
1Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China, 2Philips Healthcare, Shanghai, China, 3Philips Healthcare, BIU ADI MR Therapy Clinical Science, Amsterdam, Netherlands |
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In this study, we did the research of the feasibility and advantage in defining the ITV for RT of HCC guided by 4D-MR-T2 images compared to 4D-CT images. It had been found that gross tumor target volume and internal tumor target volume boundaries could be displayed clearly on 4D-MR-T2 images. The position and deformation status of liver and tumors could be monitored easily on 4D-MR-T2 images. 4D-MR-T2 Images should be the first choice for simulation of HCC to define the ITV, and establish adaptive RT approach for HCC. |
| 4838 | Evaluating the pairwise AdaBoost model in predicting the efficacy of chemo-radiotherapy for advanced rectal cancer under small sample size | |
| Qinglei Shi1, Xiaoming Xi*2, Yilong Yin3, Jie Kuang4, Gaofeng Shi4, Xu Yan5, Yi Qu6, and Dongsheng Zhou7 | ||
1School of Software, Shan Dong University, Jinan, China, 2School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China, 3School of Software, Software Park Campus, Shandong University, Jinan, China, 4CT Room, Radiology Department, Hebei Medical University Affilited 4th Hospital, Shi Jiazhuang, China, 5MR Scientific Marketing, Siemens Healthcare, Shanghai, China, Shanghai, China, 6Department of Geriatrics, Qilu Hospital of Shandong University, Jinan, China, 7Department of Breast and Thyroid Surgery, Shandong Provinvial Qianfoshan Hospital, The First Hospital Affiliated with Shandong First Medical University, Jinan, China |
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This paper proposed a pairwise AdaBoost model in predicting the therapeutic effect of non-metastatic LARC treated with neoadjuvant chemotherapy-radiation therapy based on radiomics signatures coming from ADC maps. Compared with traditional models, the pairwise AdaBoost model has ability to enlarge the number of training samples, which is useful to improve the generalization ability of the model. The experimental results demonstrated that the pairwise AdaBoost model seems can improve the accuracy and robustness of the model in predicting the treatment effect for locally LARC treated with neoadjuvant chemotherapy-radiation therapy. |
| 4839 | MRI Guided and Enhanced Radiosensitization by MnO2/Pt Nanosheets with Tumor Microenvironment-Triggered in Cancer Radiotherapy | |
| Lijuan Chen1, Mingbo Liu1, Wei wei1, Yan Bai1, Haiyan Gao1, and Meiyun Wang1 | ||
1Henan Provincial People’s Hospital, Zhengzhou, China |
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We design the MnO2/Pt system to enhance the radiosensitization. 1-2 nm of platinum are uniformly dispersed on the as-prepared MnO2 nanosheet. The as-prepared MnO2/Pt are degraded by H2O2 and GSH into magnetic resonance functional imaging materials Mn2+. Moreover, MnO2/Pt can degrade GSH to GSSG, which is obstructed DNA repair of cancer cells after radiotherapy. From the results of colony formation, MnO2/Pt can improve the radiotherapy effect on U87 cells with the treatments of X-ray (8 Gy). MnO2/Pt are expected to achieve integrated magnetic resonance guided sensitization radiotherapy in vivo. |
| 4840 | Intrinsically Registered Fat Saturated and Unsaturated T2W Images Using a Keyhole Method | |
| Steven Jackson1,2, Hanna Hanson2, David Cobben2, Kathryn Banfill2, Ahmed Salem2, Lisa McDaid1, Marcel van Herk2, and Benjamin Rowland2 | ||
1The Christie NHS Foundation Trust, Manchester, United Kingdom, 2Division of Cancer Sciences, The University of Manchester, Manchester, United Kingdom |
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Fat saturated and unsaturated T2W images of the same anatomy are required for MRI lung radiotherapy treatment planning. A prospective 'keyhole' pulse sequence that produces both image contrasts at full resolution via acquisition of a subset of FS k-space substituted into the non FS k-space was simulated. Simulated FS images with 50% of FS k-space substituted in a cross hair pattern were found to be only slightly inferior to acquired FS images by four clinicians based on scoring for delineation suitability. The prospective pulse sequence would save MR protocol time and improve the patient experience. |
| 4841 | Yttrium-90 Radioembolization for Hepatocellular Carcinoma: Outcome Prediction with MRI Derived Fat-Free Muscle Area | |
| Anton Faron1, Alois M. Sprinkart1, Claus C. Pieper1, Rolf Fimmers2, Wolfgang Block1, Carsten Meyer1, Daniel Thomas1, Ulrike Attenberger1, and Julian A. Luetkens1 | ||
1Radiology, University Hospital Bonn, Bonn, Germany, 2Department of Medical Biometry, Informatics, and Epidemiology, University Hospital Bonn, Bonn, Germany |
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Magnetic resonance imaging (MRI) allows for body composition assessment, including determination of fat-free muscle area (FFMA). This study aimed to evaluate the prognostic value of FFMA, opportunistically measured from pre-interventional liver MRI, to predict outcome in patients receiving radioembolization (RE) for treatment of hepatocellular carcinoma (HCC). Patients with high FFMA showed significantly increased overall survival following treatment. On multivariate analysis, FFMA was an independent predictor of survival and thereby may reveal additional prognostic information in these patients. FFMA may become a promising new biomarker, since it is easy to assess from routine clinical imaging and represents a potential therapeutic target. |
| 4842 | A descriptive study to evaluate radiotherapy-related response for myxoid liposarcomas using functional MRI | |
| Evanthia Kousi1, Christina Messiou1, Aisha Miah2, Matthew Orton1, Rick Haas3,4, Khin Thway2, Georgina Hopkinson1, Shane Zaidi2, Myles Smith2, Elizabeth Barquin2, Eleanor Moskovic2, Nikolaos Fotiadis2, Dirk Strauss2, Andrew Hayes1, and Maria A Schmidt1 | ||
1The Royal Marsden NHS Foundation Trust and Institute of Cancer Research, London, United Kingdom, 2The Royal Marsden NHS Foundation Trust, London, United Kingdom, 3The Netherlands Cancer Institute, Amsterdam, Netherlands, 4The Leiden University Medical Center, Leiden, Netherlands |
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Summary: Myxoid liposarcomas (MLS) show enhanced radiotherapy response owing to their distinctive vasculature. We explore the role of functional MRI in identifying MLS response to radiotherapy. Methods: Ten patients with histologically-proven MLS received radiotherapy. Diffusion, T2* and vascularity estimates were assessed at pre-, during and post-radiotherapy. Results: Baseline values and post-radiotherapy changes of [Gd], IAUGC60 and Ktrans were statistically different between responders and non-responders but not ADC. Responders demonstrated statistically significant early tumour volume and post-radiotherapy T2* reductions. Conclusion: Baseline vascularity estimates and their post-radiotherapy changes could predict MLS response. Early volume changes precede changes in MLS functionality. |
| 4843 | Magnetic Resonance Image guided radiation therapy with nanoparticles improves radiation response of Oral Tumor Xenograft | |
| Gayatri Sharma1, Abdul K Abdul K. Parchur2, Jaidip M. Jagtap2, brian M. Fish2, Bergom Carmen 3, Michael Flister4, Meetha M. Medhora5, and Amit Joshi1,6 | ||
1Biomedical Engineering, Medical College of Wisconsin, MILWAUKEE, WI, United States, 2Medical College of Wisconsin, MILWAUKEE, WI, United States, 3Radiation Oncology, Medical College of Wisconsin, MILWAUKEE, WI, United States, 4Physiology, Medical College of Wisconsin, MILWAUKEE, WI, United States, 5Medical College of Wisconsin, Medical College of Wisconsin, MILWAUKEE, WI, United States, 6Biophysics, Medical College of Wisconsin, MILWAUKEE, WI, United States |
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X-ray CT or MR Image-guided radiation therapy (IGRT) is routinely employed for oral cancer treatment. Enhancing tumor dose while limiting collateral damage to salivary glands is of critical importance for oral cancer patients. Here, we demonstrate the efficacy of multifunctional Theranostic nanoparticles (TNPs) for MR image guided radiation therapy in a rat xenograft model of oral cancer. These TNPs composed of Gold (Au) core and Gd(III) shell with combined X-ray and MR contrast can enable pre-procedure radiotherapy planning via T1-MR imaging, as well as enhance radiation treatment efficacy by increasing the tumor deposited radiation dose. |
| 4844 | VERDICT and kurtosis modelling of diffusion MRI for early assessment of radiotherapy response in a model of human neuroendocrine tumour | |
| Lukas Carl Lundholm1, Mikael Montelius1, Oscar Jalnefjord1, Emman Shubbar1, Eva Forssell-Aronsson1, and Maria Ljungberg1 | ||
1Department of Radiation Physics, Institute of Clinical Sciences, Göteborg, Sweden |
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Diffusion MRI methods to characterize tumour tissue could facilitate early assessment of radiotherapy response. In this study mouse models of human small intestine neuroendocrine tumours were irradiated externally, and post-treatment effects were studied over two weeks using VERDICT and kurtosis analysis of diffusion MRI measurements. Results showed multiple correlations between tumour treatment response and parameters estimated from the models, suggesting that a decrease of cell density and microstructural barriers early after treatment indicates a more substantial response. Both VERDICT and kurtosis analysis shows great potential for early assessment of treatment response to external radiation therapy in the studied tumour model. |
| 4845 | Heterogeneity analysis in T2 mapping enables highly sensitive radiotherapy response measurement and prediction in pancreatic allografts. | |
| Michal Tomaszewski1, William Dominguez Viqueira1, Heiko Enderling2, and Robert J Gillies1 | ||
1Cancer Physiology, H. Lee Moffitt Cancer Center, Tampa, FL, United States, 2Institute of Mathematical Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, United States |
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Tumor response to radiotherapy (XRT) varies significantly between patients, calling for improved response quantification methods. Tumor response to fractionated XRT was quantified in a mouse model of pancreatic cancer with multiple MR sequences. Texture feature analysis of quantitative T2 maps revealed that histogram width information (Interquartile range metric) provided a more sensitive measure of XRT response than first order metrics, reflecting the structural heterogeneity increase due to necrosis, which presaged tumor volume changes. Thus, radiomic analyses of qT2 maps show significant promise for early response prediction, which will be crucial for future development of dynamic adaptive radiotherapy. |
| 4846 | Prediction of Treatment Outcome after Radiosurgery in Brain Metastases from Lung Cancer Using Preradiosurgical MR Radiomics | |
| Chien-Yi Liao1, Cheng-Chia Lee2,3,4, Huai-Che Yang2,3, Wen-Yuh Chung2,3, Hsiu-Mei Wu3,5, Wan-Yuo Guo3,5, Ren-Shyan Liu1,6, and Chia-Feng Lu1,7 | ||
1Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan, 2Department of Neurosurgery, Neurological Institute, Taipei Veteran General Hospital, Taipei, Taiwan, 3School of Medicine, National Yang-Ming University, Taipei, Taiwan, 4Brain Research Center, National Yang-Ming University, Taipei, Taiwan, 5Department of Radiology, Taipei Veteran General Hospital, Taipei, Taiwan, 6Department of Nuclear Medicine and National PET/Cyclotron Center, Taipei Veterans General Hospital, Taipei, Taiwan, 7Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan |
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The development of brain metastases is a devastating consequence of disease progression of advanced non-small cell lung cancer patients. This study proposed an approach to predict the treatment outcome after gamma knife radiosurgery based on preradiosurgical MR radiomics. We suggested that imaging characteristics extracted from preradiosurgical MRIs can be potential image biomarkers for the outcome prediction. |
| 4847 | Evolution of the tissue sodium concentration in brain metastases undergoing stereotactical radiosurgery: a feasilbility study | |
| Anne Adlung1, Michaela A. U. Hoesl1, Sherif Mohamed2, Arne M. Ruder3, Frank A. Giordano3, Eva Neumaier Probst2, and Lothar R. Schad1 | ||
1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Department of Neuroradiology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 3Department of Radiation Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany |
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Brain metastases are the most common malignancy in the brain and can be caused by different primary tumors. The Sodium-SRS study is a prospective feasibility study to observe TSC changes in brain metastases around ablative stereotactical radiosurgery (SRS) treatment with 22 Gy single dose using GammaKnife. TSC was measured with 23Na MRI in two patients at three different time points. The prelimenary results showed feasibility to detect TSC dynamics in brain metastases treated with SRS, which warrants further evaluation. |
| 4848 | The application of APT and IVIM in predicting the recurrence of early stage hepatocellular carcinoma treated with TACE: A pilot study | |
| Jia fei1, Han dongming1, and Wang Kaiyu2 | ||
1The First Affiliated Hospital of Xinxiang Medical University, Xin xiang, China, 2GE Healthcare ,MR Research China, Beijing, China |
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This work assessed the feasibility of quantitative parameters derived from APT and IVIM in the predicting the recurrence of early stage Hepatocellular carcinoma (HCC) treated with transcatheter arterial chemoembolization (TACE). We find that combined quantitative parameters of APT and IVIM can be used to predict the recurrence. Therefore, APT and IVIM can be used as imaging biomarkers to predict the recurrence of early stage of HCC after TACE treatment. |
| 4849 | Multiparametric MRI with cluster analysis for early assessment of radiotherapy response in a human small-intestine neuroendocrine tumor model | |
| Mikael Montelius1, Lukas Lundholm1, Oscar Jalnefjord1, Emman Shubbar1, Eva Forssell-Aronsson1, and Maria Ljungberg1 | ||
1Radiation Physics, Clinical Sciences, Gothenburg, Sweden |
||
The diffusion coefficient (D) and T2* reflect clinically significant tumor characteristics, including cellularity and hypoxia. Methods to non-invasively assess D and T2* at diagnosis and early follow up are desired. The aim of this work was to evaluate the sensitivity of D and T2* to radiotherapy effects in a neuroendocrine tumor model, and to evaluate clustering as an objective method to facilitate D and T2* analysis. 20 mice were examined using MRI before and repeatedly for 2 weeks after tumor irradiation (8Gy) . We show that D and T2* are potential response biomarkers, and that clustering improves response prediction for T2*. |
| 4850 | Intrinsic susceptibility MRI can inform on tumour vascular decompression in response to the stromal targeted therapy PEGPH20 | |
| Emma L. Reeves1, Jin Li1, Jessica K. R. Boult1, Barbara Blouw2, David Kang2, Jeffrey C. Bamber1, Yann Jamin1, and Simon P. Robinson1 | ||
1Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom, 2Halozyme Therapeutics, San Diego, CA, United States |
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PEGPH20 has been shown to decompress blood vessels and improve tumour drug delivery. Given the sensitivity of R2* to paramagnetic deoxyhaemoglobin and reflection of RBC content in tumour vasculature, we hypothesised that IS-MRI may provide a useful biomarker of PEGPH20 response. We performed IS-MRI before and after PEGPH20 treatment in 4T1 HAS3 and MDA-MB-231 LM2-4 orthotopic breast tumours. R2* significantly increased following PEGPH20 treatment in 4T1 HAS3 tumours, however, R2* was unable to detect a similar response to PEGPH20 in the relatively hypovascular MDA-MB-231 LM2-4 tumours. Another vascular biomarker may provide greater sensitivity and detect PEGPH20 response in hypovascular tumours. |
| 4851 | Quantitative T2 Mapping in Advanced Cervical Cancer: A Pilot Study of Patients’ Concurrent Chemoradiotherapy Response | |
| Shujian Li1, Jie Liu1, Jinxia Zhu2, Han Fei3, and Jingliang Cheng1 | ||
1Department of Magnetic Resonance, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2MR Collaboration, Siemens Healthcare Ltd, Beijing, China, 3MR R&D Collaboration, Siemens Healthineers, Los Angeles, CA, United States |
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This study determined the value of quantitative transverse relaxation time (T2) mapping as an alternative method to conventional magnetic resonance imaging (MRI) for evaluating the response to concurrent chemoradiotherapy (CCRT) in 27 patients with advanced cervical cancer (CC). Response values were calculated at three time points (before CCRT, 4 weeks after CCRT, and at the end of CCRT) and then compared. The results showed that quantitative T2 mapping can be effectively used for monitoring treatment response during and after treatment, but not for pre-treatment monitoring. |
| 4852 | Dynamic Contrast Enhanced MRI Parametric Maps as Indicators of Lymph Node Radiotherapy Response in Head and Neck Cancer | |
| Kareem Wahid1, Abdallah Mohammed1, Lisanne Van Dijk1, Sara Ahmed1, Renjie He1, Baher Elgohari1, Yao Ding2, Jihong Wang2, Stephen Lai3, and Clifton Fuller1 | ||
1Radiation Oncology, MD Anderson Cancer Center, Houston, TX, United States, 2Radiation Physics, MD Anderson Cancer Center, Houston, TX, United States, 3Head and Neck Surgery, MD Anderson Cancer Center, Houston, TX, United States |
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Current methodology in analyzing pathological lymph node radiotherapy response in head and neck cancer relies on qualitative visual inspection of geometrical features. A quantitative approach that takes into account dynamic changes in underlying lymph node pathology could be an important supplemental clinical tool in radiotherapy treatment planning. Herein, we investigate dynamic contrast enhanced MRI quantitative parametric maps as possible biomarker candidates for lymph node radiotherapy response by analyzing multi-timepoint images of head and neck cancer patients. |
| 4853 | Prospective assessment of DCE-MRI parameters associated with advanced mandibular osteoradionecrosis after IMRT of head and neck cancer | |
| Abdallah Sherif Radwan Mohamed1, Renjie He1, Yao Ding1, Jihong Wang1, Joly Fahim1, Baher Elgohari1, Hesham Elhalawani1, Jason Johnson2, Jason Stafford3, Jim Bankson3, Mark Chambers4, Vlad Sandulache5, Clifton Fuller1, and Stephen Lai4 | ||
1Radiation Oncology, MD Anderson Cancer Center, Houston, TX, United States, 2Diagnostic imaging, MD Anderson Cancer Center, Houston, TX, United States, 3Imaging physics, MD Anderson Cancer Center, Houston, TX, United States, 4Head and Neck Surgery, MD Anderson Cancer Center, Houston, TX, United States, 5Baylor College of Medicine, Houston, TX, United States |
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Our aim was to characterize the quantitative DCE-MRI parameters associated with advanced mandibular osteoradionecrosis (ORN) in comparison with normal mandible. Thirty patients with advanced ORN after radiation of head and neck cancer were prospectively enrolled. Our results confirm there is a quantitatively significant higher degree of leakiness in the mandibular vasculature as measured using DCE-MRI parameters of areas affected with advanced grade of ORN versus healthy mandible. We were able to measure significant increases in quantitative parameters (3.3 fold Ktrans, 3 fold ve) compared to non-ORN mandibular bone. |
| 4854 | Validation of USPIO-MRI for detection of lymph node metastases in head and neck cancer: feasibility and workflow. | |
| Daphne A.J.J. Driessen1, Tim Dijkema1, Sjoert A.H. Pegge2, Patrik Zámecnik2, Adriana C.H. van Engen-van Grunsven3, Willem L.J. Weijs4, Robert P. Takes5, Tom W.J. Scheenen2, and Johannes H.A.M. Kaanders1 | ||
1Radiation Oncology, Radboud university medical centre, Nijmegen, Netherlands, 2Radiology and Nuclear Medicine, Radboud university medical centre, Nijmegen, Netherlands, 3Pathology, Radboud university medical centre, Nijmegen, Netherlands, 4Oral- and Maxillofacial Surgery and Head and Neck Surgery, Radboud university medical centre, Nijmegen, Netherlands, 5Otorhinolaryngology and Head and Neck Surgery, Radboud university medical centre, Nijmegen, Netherlands |
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Head and neck cancers have a high propensity to metastasize to the lymph nodes of the neck. Accurate knowledge of this regional nodal status is of great importance for therapy selection and prognosis. Ultrasmall superparamagnetic iron oxide (USPIO) particles (Ferumoxtran-10 / Ferrotran®) are a promising contrast agent that can be used to detect nodal metastases with MRI. This study aims to validate USPIO-MRI for the detection of nodal metastases in head and neck cancer patients with histopathology as the reference standard. The workflow and preliminary results in 5 patients are shown in this abstract. |
| 4855 | Heterogeneity of cellularity in breast cancer from diffusion q-space MRI | |
| Nicholas Senn1, Ehab Husain2, Yazan Masannat3, Sai Man Cheung1, Bernard Siow4, Steven D Heys5, and Jiabao He1 | ||
1Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom, 2Pathology department, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 4Francis Crick Institute, London, United Kingdom, 5School of Medicine, University of Aberdeen, Aberdeen, United Kingdom |
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Breast cancers often present a spatially heterogenous response to treatment manifesting as diverse variations in the underlying distribution of cellularity. We hypothesised that kurtosis from diffusion q-space imaging provides a higher effect gradient to assess the amount of entropy and dispersion in breast cancer cellularity than measures of diffusion displacement. We investigated whole breast tumours excised from surgery, with imaging performed same day overnight on a clinical 3T MRI system. The entropy and dispersion obtained from kurtosis were significantly higher than that obtained from displacement measurements, yielding a higher effect gradient, and significantly correlated with the histologic cellularity. |
| 4856 | MRI texture analysis based on 3D tumor measurement in differential diagnosis of benign and malignant presacral lesion | |
| jian jiang1 and ailian liu1 | ||
1The first affiliated hospital of Dalian medical university, Dalian, China |
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My study is to evaluate the diagnostic value of 3D MRI texture analysis based on T1WI, T2WI, DKI and contrasted-enhanced T1WI MRI sequences in differential diagnosis of benign and malignant presacral lesion after resection of rectal carcinoma |
| 4857 | The value of whole tumor volume measurement texture analysis based on ADC images in differentiating DCIS from DCISM: Apreliminary study. | |
| Ye Ju1, Shifeng Tian1, Ailian Liu1, Lina Zhang1, Lizhi Xie2, Yan Guo2, and Xin Li2 | ||
1First affiliated hospital of dalian medical university, Dalian, China, 2GE Healthcare, Beijing, China |
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In this study, we used the whole tumor volume measurement of texture analysis based on ADC images to identify breast ductal carcinoma in situ (DCIS) and DCIS with microinvasion (DCISM), which revealed to be feasible approach for differentiating between DCIS and DCISM. |
| 4858 | Texture analyses based on multiple high b-value diffusion-weighted imaging (DWI) for evaluation of tumor heterogeneity in prostate cancer | |
| Jingjun Wu1, Ailian Liu1, Jiazheng Wang2, Liangjie Lin2, Lihua Chen1, Qingwei Song1, Renwang Pu1, and Bingbing Gao1 | ||
1Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Philips Healthcare, Beijing, China |
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In the current study, multiple high b-value DWI-based texture analysis was applied to evaluate tumor heterogeneity in prostate cancer patients. Parameters, including MinIntensity, MedianIntensity, MeanValue, and Skewnesswere were significantly different among DWI images with different b values. Therefore, texture analysis based on DWI maps with different b values may serve as a preoperative and non-invasive method for evaluating heterogeneity of prostate cancer. |
| 4859 | Diffusion Kurtosis Imaging and Intravoxel Incoherent Motion MR Imaging in the Differentiation of Sinonasal Malignant Tumors | |
| Zuohua Tang1, Zebin Xiao1, Peng Wang1, and Zhongshuai Zhang2 | ||
1Radiology, Fudan University Eye & ENT Hospital, Shanghai, China, 2MR Scientific Marketing, Siemens Healthcare, Shanghai, China |
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A reliable differentiation of different histological types of sinonasal malignancies is usually difficult by using conventional CT and MR imaging but plays an important role in determining the treatment strategies for the patients. This is the first study which combined DKI and IVIM to distinguish among four histological types of sinonasal malignant tumors, including squamous cell carcinomas (SCCs), olfactory neuroblastomas (ONBs), malignant melanomas (MMs), and lymphomas. Our study showed that these sinonasal malignant tumors had distinct profiles in DKI and IVIM parameters, determined by different proportions of tissue complexity, capillary perfusion, or water diffusion components within tumor. |
| 4860 | Quantitative Classification of Clinically Significant Prostate Cancer Using a Biexponential Model of Extended b-value Diffusion-Weighted MRI | |
| Christine H Feng1, Christopher C Conlin2, Ana E Rodríguez-Soto2, Roshan Karunamuni1, Aaron B Simon1, Rebecca Rakow-Penner2, Michael E Hahn2, Anders M Dale2,3, and Tyler Seibert1,4 | ||
1Radiation Medicine & Applied Sciences, UC San Diego, La Jolla, CA, United States, 2Radiology, UC San Diego, La Jolla, CA, United States, 3Neurosciences, UC San Diego, La Jolla, CA, United States, 4Bioengineering, UC San Diego, La Jolla, CA, United States |
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Prostate cancer is the second most frequent malignancy in men worldwide—novel strategies are needed to better identify patients with clinically significant disease. We developed a biexponential linear regression model using data from 36 men who underwent prostate MRI with 5 distinct b-values. We evaluated quantitative detection of clinically significant prostate cancer. The biexponential model and derivative lookup table outperformed simple ADC and kurtosis in quantitative classification of benign tissue and cancer (AUC 0.958 and 0.976 vs 0.632 and 0.409, respectively). |
| 4861 | Parameter Induced Variations in DCE-MRI Analysis: Monitoring Treatment Response for Head and Neck Tumours | |
| Madeline Carr1,2,3, Michael Jameson1,2,3,4, Christopher Rumley2,4,5, Gary Liney2,3,4, Mark Lee3,4, Phillip Chlap2,4, Peter Metcalfe1,2, and Lois Holloway1,2,3,4,6 | ||
1Centre for Medical and Radiation Physics, University of Wollongong, Wollongong, Australia, 2Medical Physics, Ingham Institute of Applied Medical Research, Liverpool, Australia, 3Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia, 4South Western Sydney Clinical School, University of New South Wales, Liverpool, Australia, 5Townsville Hospital and Health Service, Townsville, Australia, 6Institute of Medical Physics, University of Sydney, Camperdown, Australia |
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The effect of altering the input parameters into a Pharmacokinetic (PK) model on output parameter values generated was investigated. This included determining the variations induced by using individualized versus population based Arterial Input Function and haematocrit values in the model. This was completed for multiple DCE-MRI scans acquired along the course of radiotherapy treatment for 5 head and neck cancer patients. Qualitatively, most patients had similar trendlines when comparing between each combination of parameter inputs. However quantitatively, the %difference between baseline and subsequent weeks highlighted significant impacts caused by input parameter selection; having implications for applications in treatment response monitoring. |
| 4862 | Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-suppressed T2 Sequence | |
| Hongna Tan1, Fuwen Gan2, Yaping Wu3, Yusong Lin4, and Meiyun Wang3 | ||
1Radiology, Department of Radiology, Henan Provincial People’s Hospital & Imaging Diagnosis of Neurological Diseases and Research Laboratory of Henan Province & People's Hospital of Zhengzhou University, Henan, China, 450003, Zhengzhou, China, 2Collaborative Innovation Center for Internet Healthcare & School of Software and Applied Technology, Zhengzhou University, Zhengzhou, Henan,China, 450052, Zhengzhou, China, 3Department of Radiology, Henan Provincial People’s Hospital & Imaging Diagnosis of Neurological Diseases and Research Laboratory of Henan Province & People's Hospital of Zhengzhou University, Henan, China, 450003, Zhengzhou, China, 4Collaborative Innovation Center for Internet Healthcare & School of Software, Zhengzhou University, Zhengzhou, Henan,China, 450052, Zhengzhou, China |
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Currently, a noninvasive and high diagnostic sensitivity model for preoperative predicting the status of ALN is need. Our aim is to investigate the value of radiomics method based on the fat-suppressed T2 sequence for preoperative predicting axillary lymph node (ALN) metastasis in breast carcinoma. |
| 4863 | Optimisation of whole-body diffusion weighted MRI for imaging patients with metastatic melanoma treated with immunotherapy | |
| Annemarie Knill1, Matthew Blackledge1, Jessica Winfield1,2, Andra Curcean2, James Larkin3, Samra Turajlic3, Dow-Mu Koh1,2, and Christina Messiou1,2 | ||
1Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, 2Department of Radiology, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 3Renal and Melanoma Unit, The Royal Marsden NHS Foundation Trust, London, United Kingdom |
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Whole body MRI, including diffusion weighted imaging, has potential to unravel complex response patterns in patients with metastatic melanoma receiving immunotherapy. To minimise the effect of noise on resultant apparent diffusion coefficient (ADC) maps, images should be acquired using optimal b-values. These values have been calculated from MRI scans of 11 patients, with 99 metastases. The optimal pair of b-values is found to be 50 and 1250 s/mm2. A significant difference is reported between the distributions of the ADC values before and after treatment with immunotherapy. This provides preliminary evidence that ADC could provide a biomarker of response to immunotherapy. |
| 4864 | The value of multiparametric MRI-based radiomics in diagnosing of benign and malignant prostatic diseases | |
| Junjia Luo1, Shuangfeng Dai2, Zebin Luo3, Wubiao Chen3, Xiaodong Chen3, and Wenxuan Luo3 | ||
1Guangdong Medical University, Zhanjiang, China, 2Huiying Medical Technology Co., Ltd., Beijing, China, 3Affiliated Hospital of Guangdong Medical University, Zhanjiang, China |
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Radiomics, as it refers to the extraction and analysis of large number of advanced quantitative radiological features from medical images using high throughput methods, it provides a new evaluation method for detection of the suspicious lesion of cancer. The present study explores the value of radiomics based on the mulitparameter magnetic resonance imaging (mpMRI) for diagnosis of the benign and malignant prostatic diseases. |
| 4865 | Histogram Analysis Parameters ADC for Distinguishing Orbital Tumors of Lymphoma,Pleomorphic Adenoma and Adenoid Cystic Carcinoma | |
| Chen Chen1 and Cuiping Ren1 | ||
1the First Affiliated Hospital of Zhengzhou University, ZhengZhou, China |
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To determine if histograms of ADC can be used to differentiate orbital lymphoma,pleomorphic adenoma(PA) and adenoid cystic carcinoma(ACC) |
| 4866 | T2-mapping of MR imaging for discriminating mucinous adenocarcinoma from nomucinous adenocarcinoma in rectal cancer and compared with diffusion weighted image | |
| yuxi ge1 and weiqiang dou2 | ||
1Wuxi Fourth People's Hospital, wuxi, China, 2GE Healthcare, MR Research, Beijing, China |
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T2-mapping, as a quantitative and accurate measurement that can be used as a noninvasive biological marker to predict the pathological classification of rectal cancer, may be beneficial to making an individualized treatment strategy before operation of rectal cancer. |
| 4867 | Radiotherapy for prostate cancer: Effects of fiducial gold marker on diffusion-weighted magnetic resonance imaging | |
| Osamu Tanaka1, Takuya Taniguchi1, Kousei Ono1, and Masayuki Matsuo2 | ||
1Radiation Oncology, Asahi University Hospital, Gifu, Japan, 2Radiation Oncology, Gifu University Hospital, Gifu, Japan |
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Gold markers showed little effect on the quality of DWI. Therefore, despite using iron-containing markers and the size of marker < 0.5 mm being available, MRI, particularly DWI, may be used during follow-up imaging. |
| 4868 | Quantify breast stiffness in breast carcinoma patients using Magnetic Resonance Elastography at 3T and its comparison with clinical grading | |
| Prateek Kalra1, Ashonti Harper1, Jeffrey Hawley 1, Brian Raterman1, and Arunark Kolipaka1 | ||
1Radiology, Ohio State University Wexner Medical Center, Columbus, OH, United States |
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Dynamic contrast-enhanced MRI kinetic parameters have been investigated to assess the response to neoadjuvant chemotherapy (NAC). However, those studies have predictive value only after one or two cycles of NAC treatment and involves injection of contrast agent. Moreover, breast tumor sample is graded clinically using biopsy and is invasive. Aim of this study is to evaluate any correlation between MRE stiffness and clinical grading in breast carcinoma and if MRE can predict the response to NAC. Preliminary results show moderate correlation between MRE-derived stiffness and clinical grading in breast carcinoma patients. |
| 4869 | Prediction of response to neoadjuvant chemotherapy for nasopharyngeal carcinoma using pretreatment MRI: a validated radiomics nomogram | |
| Junqi Sun1, Shenglan Chen2, Jie Ding2,3, Feifei Shan1, Yi Kang1, Xiaoting Tang1, and Chuan Huang2,4,5 | ||
1Yuebei People’s Hospital, Shaoguan, China, 2Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States, 3Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong, 4Radiology, Stony Brook Medicine, Stony Brook, NY, United States, 5Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States |
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Nomograms are widely adopted as prognostic tools for clinical practice. In this study, we developed and temporally validated a radiomics nomogram to predict early response to neoadjuvant chemotherapy among patients with nasopharyngeal carcinoma using pretreatment MRI. |
| 4870 | IVIM & Diffusion Kurtosis MR Imaging on Interim Response Assessment of Hodgkin Lymphoma | |
| Archana Vadiraj Malagi1, Devasenathipathy Kandasamy2, Kedar Khare3, Deepam Pushpam4, Rakesh Kumar5, Sameer Bakhshi4, and Amit Mehndiratta1,6 | ||
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, 3Indian Institute of Technology Delhi, New Delhi, India, 4Department of Medical Oncology, Dr. B.R. Ambedkar Institute-Rotary Cancer Hospital (IRCH), All India Institute of Medical Sciences Delhi, New Delhi, India, 5Department of Nuclear Medicine, All India Institute of Medical Sciences Delhi, New Delhi, India, 6Department of Biomedical Engineering, All India Institute of Medical Sciences Delhi, New Delhi, India |
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PET/CT plays an important role in assessment of treatment response in Hodgkin lymphoma (HL). This study goal was to evaluate the role of IVIM and DKI parameters role in interim assessment of HL. ADC, D(BE+TV), Dk and f showed reduction in interim which was in accordance with changes of SUVmax and SUVmean whereas D* and k showed increase against treatment response. In future, IVIM and DKI can have the potential in accurate assessment of interim monitoring in HL. |
| 4871 | Lipid composition mapping in whole breast tumour using chemical shift encoded imaging | |
| Sai Man Cheung1, Kwok Shing Chan2, Nicholas Senn1, Yazan Masannat3, Ehab Husain4, Steven Heys3, and Jiabao He1 | ||
1Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom, 2Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands, 3Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 4Pathology Department, Aberdeen Royal Infirmary, Aberdeen, United Kingdom |
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Lipid composition in breast has a major role in breast cancer prevention, with deregulation of lipid metabolism identified in BRCA1/2 genetic mutation carriers. Neoplastic tubule formation can infiltrate adipose tissue in peri-tumoural region, with low tubular differentiation indicating a poorer prognosis. Lipid composition measurement through biochemical extraction is invasive, while conventional chemical shift imaging demands an intolerably long acquisition time. Recent development in gradient-echo (GRE) based imaging allows lipid composition mapping of the whole breast in a clinically acceptable timeframe. We set out to examine the relationship between peri-tumoural lipid composition and tubule formation using GRE-based imaging in breast tumours. |
| 4872 | A Pilot Evaluation of Intravoxel Incoherent Motion Imaging Features of Stage T1 HER2-positive breast carcinomas | |
| Nan Zhang1, Qingwei Song1, Lina Zhang1, Ailian Liu1, Yu Song1, and Lizhi Xie2 | ||
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2GE Healthcare, MR Research China, Beijing, China |
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Intravoxel incoherent motion (IVIM) imaging provides quantitative measurement of ADCslow for cellularity and ADCfast and ffast for vascularity. The parameters derived from IVIM can distinguish lesions of different aggressive pathological subtypes of Stage T1 breast carcinomas[1]. This study concerned clinical features, perfusion as well as diffusion parameters using IVIM imaging and then compared these parameters from conventional MR images on the classification of Stage T1 HER2-positive and HER2-negative breast carcinoma lesions . |
| 4873 | Diagnostic efficiency of DBT compared to conventional MRI and FFDM in diagnosing breast cancer | |
| Fan WenWen1, Fan WenWen1, Ou Yang Han2, Zhao XinMing2, Zhang HongMei2, and Xie LiZhi3 | ||
1Department of Imaging Diagnosis, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, BeiJing, China, 2National Cancer Center/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, BeiJing, China, 3MR Research, GE Healthcare, BeiJing, China |
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The aim of this study was to evaluate the technical characteristics and diagnostic efficiency of Digital Breast Tomosynthesis (DBT) compared to conventional MRI approach and full-field digital mammography (FFDM) in screening breast cancer (BC) patients. Briefly, 253 female patients who underwent Digital Mammary Gland 3D Tomosynthesis, MR scan and FFDM were enrolled in this study. Briefly, the DBT, FFDM and MRI showed a sensitivity of 90.9%, 85.6% and 94.1%; specificity of 89.7%, 80.7% and 83.3%; and coincidence rate of 89.3%, 83.4% and 89.7%, respectively, and the difference was statistically significant (p＜0.001). |
| 4874 | Molecular Effects of Chemotherapeutic Agents on Choline Phospholipid Metabolism of Triple Negative Breast Cancer Cells | |
| Caitlin M Tressler1, Kanchan Sonkar1, Vinay Ayyappan1, Menglin Cheng1, and Kristine Glunde1 | ||
1Johns Hopkins University, Baltimore, MD, United States |
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Magnetic resonance spectroscopy (MRS) of breast cancer patients has shown a significant decrease in total choline (tCho) signal in patients responding to chemotherapy.1-4 Despite the clinical development of tCho as an imaging biomarker for response to chemotherapy, little is known about the molecular mechanism driving this observed change. We examined six chemotherapy agents in two triple negative breast cancer (TNBC) cell lines by high resolution (HR) 1H MRS to determine the impact of chemotherapy treatment on choline metabolites. Furthermore, we have begun to probe the impact of these chemotherapy agents on important genes in choline metabolism using quantitative real-time PCR. |
| 4875 | Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using deep learning method | |
| Yuhong Qu1, Haitao Zhu1, Kun Cao1, Xiaoting Li1, and Ying-shi Sun1 | ||
1Beijing cancer hospital, Beijing, China |
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This study established a deep learning model to predict PCR status after neoadjuvant therapy by combining pre-NAC and post-NAC MRI data.The area under the receiver operating characteristic (ROC) curve (AUC) of the models are 0.968 for post-NAC and 0.970 for the combined data. |
| 4876 | Can radiomics and machine learning capture the unique differences between invasive lobular and invasive ductal carcinoma of the breast? | |
| Carolina Rossi Saccarelli1,2, Peter Gibbs3, Almir G V Bitencourt1, Isaac Daimiel1, Roberto Lo Gullo1, Sunitha B Thakur3, Elizabeth A Morris1, and Katja Pinker 1 | ||
1breast radiology, MSKCC, New York, NY, United States, 2breast radiology, Hospital Sirio-Libanes, Sao Paulo, Brazil, 3MSKCC, New York, NY, United States |
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In this study, we hypothesized that the specific genomic profiles of invasive lobular carcinoma (ILC) can be captured with radiomics analysis and machine learning (ML) from standardized dynamic contrast-enhanced breast MRI. Three-dimensional tumor segmentation of the first post-contrast T1-weighted sequence was conducted and included the entire mass and non-mass enhancement lesions, unifocal and multifocal/multicentric lesions. This supervised ML model produced an accuracy of 76.6%, sensitivity of 72.7%, specificity of 80.6%, PPV of 79.1% and NPV of 74.5%. Our preliminary results indicate that radiomics analysis coupled with supervised ML allows a non-invasive differentiation between ILC and invasive ductal carcinoma. |
| 4877 | Characterization of Sub-centimeter Enhancing Breast Masses on MRI with Radiomics and Machine Learning in BRCA Mutation Carriers | |
| Roberto Lo Gullo1, Isaac Daimiel 1, Carolina Saccarelli1, Almir Bitencourt1, Peter Gibbs2, michael James Fox2, Sunitha B. Thakur2,3, Danny F. Martinez1, Elisabeth A. Mossir1, and Katja Pinker1 | ||
1Radiology, Breast imaging, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3medical physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States |
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The purpose of our study was to investigate whether radiomics features extracted from MRI of BRCA-positive patients with breast masses smaller than 1 cm coupled with machine learning can differentiate benign from malignant lesions using model-free parameter maps. We included 96 patients with 116 lesions assessed by two readers according to the BI-RADS lexicon. Radiomics features were calculated and included in a machine learning model, along with clinical factors, to discriminate between malignant and benign lesions. The machine learning model, combining two clinical and three radiomics features, achieved higher diagnostic accuracy (81.5%) compared to morphological assessment alone (53.4%) |
| 4878 | MR-based machine learning radiomics can predict tumor heterogeneity and pathologic response after neoadjuvant therapy in HER2 breast cancer | |
| Almir Bitencourt1,2, Peter Gibbs3, Carolina Rossi Saccarelli3, Isaac Daimiel3, Roberto Lo Gullo3, Michael Fox3, Sunitha Thakur3, Katja Pinker3, Elizabeth A Morris3, Monica Morrow4, and Maxime Jochelson3 | ||
1Breast Radiology, MSKCC, New York, NY, United States, 2Department of Imaging, A.C. Camargo Cancer Center, Sao Paulo, Brazil, 3MSKCC, New York, NY, United States, 4Breast Surgery, MSKCC, New York, NY, United States |
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In this study, we used magnetic resonance (MR)-based clinical and radiomic features to assess tumor heterogeneity in 311 HER2 overexpressing breast cancer patients receiving neoadjuvant chemotherapy (NAC), and correlated these findings with tumor heterogeneity and pathologic response. Tumor heterogeneity was evaluated based on the HER2 expression (IHC vs. FISH) . Pathologic complete response (pCR) was defined as no residual invasive carcinoma in the breast or axillary lymph nodes (ypT0/isN0). Radiomics analysis and machine learning with MRI were able to assess tumor heterogeneity and predict pCR after neoadjuvant chemotherapy in these patients, with a diagnostic accuracy of 97.4% and 85.2%, respectively. |
| 4879 | Radiomics analysis on magnetic resonance diffusion weighted imagefor prediction of Ki-67 expression in breast cancer | |
| Qinglin Wang 1, Ning Mao1, Haizhu Xie1, Fengjie Liu1, and Jingjing Cui2 | ||
1Yantai Yuhuangding Hospital, Yantai, China, 2Huiying Medical Technology Co., Beijing, China |
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The expression level of Ki-67 has an important reference value for the diagnosis, treatment and prognosis evaluation of breast cancer. To explore the feasibility of diffusion-weighted imaging for prediction of Ki-67 expression. In this study, the expression of Ki-67 in breast cancer was differentiated by semi-automatic extraction of the image parameters of diffusion-weighted(DWI) before treatment. The results of this study show that Ki-67-negative and Ki-67-positive breast cancer have different imaging characterization values in DWI images. The imaging of DWI is feasible in identifying the two, which is helpful to predict the expression level of Ki-67 in breast cancer before operation. |
| 4880 | Prediction of pathologic complete response of neoadjuvant chemotherapy for early triple negative breast cancer using pre-therapeutic MRI | |
| Angeline Nemeth1, Pierre Chaudet2, Benjamin Leporq1, Pierre-Etienne Heudel3, Olivier Tredan3, Isabelle Treilleux4, Frank Pilleul2, Agnès Coulon2, and Olivier Beuf1 | ||
1Univ Lyon, INSA‐Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F69621, Lyon, France, 2Department of Radiology, Centre Léon Bérard, Lyon, France, 3Department of Medical Oncology, Centre Léon Bérard, Lyon, France, 4Department of Pathology, Centre Léon Bérard, Lyon, France |
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A total of 76 patients were enrolled in this retrospective monocentric study. All patients had a non-metastatic triple negative breast cancer and underwent a pre-therapeutic MRI protocol (T1-weighted, T2-weigthed, diffusion-weighted and dynamic-contrast-enhanced imaging) before a neoadjuvant chemotherapy. Results of radiomic analyses based on multiple contrast images and using 3 classifiers (support vector machine, Random forest and multilayer perceptron) were leading to a relative interest of using a combination of features extracted from DCE-MRI, T1W and T2W in the aim to predict responders and non-responders. |
| 4881 | Breast tumor response on dynamic contrast-enhanced MRI after single dose neoadjuvant partial breast irradiation | |
| Maureen Groot Koerkamp1, Jeanine Vasmel1, Stefano Mandija1,2, Marielle Philippens1, Ramona Charaghvandi3, Maaike Moman4, Wouter Veldhuis4, Celien Vreuls5, Paul van Diest5, Arjen Witkamp6, Ronald Koelemij7, Annemiek Doeksen7, Thijs van Dalen8, Elsken van der Wall9, Helena Verkooijen10, Jan Lagendijk1, Bram van Asselen1, Desiree van den Bongard1, and Anette Houweling1 | ||
1Radiotherapy, UMC Utrecht, Utrecht, Netherlands, 2Computational Imaging Group for MR diagnostic & therapy, UMC Utrecht, Utrecht, Netherlands, 3Radiotherapy, Radboudumc, Nijmegen, Netherlands, 4Radiology, UMC Utrecht, Utrecht, Netherlands, 5Pathology, UMC Utrecht, Utrecht, Netherlands, 6Surgical Oncology, UMC Utrecht, Utrecht, Netherlands, 7Surgery, St. Antonius, Utrecht, Netherlands, 8Surgery, Diakonessenhuis, Utrecht, Netherlands, 9Medical Oncology, UMC Utrecht, Utrecht, Netherlands, 10Epidemiology, UMC Utrecht, Utrecht, Netherlands |
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Radiologist assessment and quantitative dynamic contrast-enhanced (DCE) MRI analysis were used to determine if changes in these parameters could predict pathologic complete response to single ablative dose neoadjuvant partial breast irradiation. 3.0T DCE MRI scans in prone position were obtained pre-radiotherapy (RT), and 1 week, 2, 4, 6, and, if applicable, 8 months post-RT. Quantitative analysis showed an increase of relative enhancement 1 week after RT followed by a decrease at later time points which indicates acute tissue response and tumor regression, respectively. Both radiologist assessment (n=36) and quantitative analysis (n=27) could not predict pathologic response. |
| 4882 | Tumor Characteristics of Discordant MRI Imaging and Pathology Following Neoadjuvant Chemotherapy in Non-metastatic Breast Cancer | |
| Alexandra Besser1, Ana Rodriguez-Soto1, Helen Park2, Andrew Park2, Grace Ahn Sora2, Haydee Ojeda-Fournier1, and Rebecca Rakow-Penner2 | ||
1Radiology, University of California, San Diego, La Jolla, CA, United States, 2University of California, San Diego, La Jolla, CA, United States |
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For patients with non-metastatic or locally advanced breast cancer, MRI imaging is used to follow response to neoadjuvant chemotherapy (NAC) and determine treatment plan. However, MRI radiological complete response is not always concordant with pathological complete response. In a cohort of patients imaged at our institution with non-metastatic/locally advanced breast cancer, we report that 24% of post-NAC final MRI imaging is discordant with the final pathology report. We also show that many of these MRI false negatives demonstrate residual intermediate to high grade DCIS and contain microcalcifications. |
| 4883 | Diffusion fractional anisotropy in peritumoral edema of triple negative breast cancer | |
| Benjamin Charles Musall1, Abeer H Abdelhafez2, Hagar S Mahmoud2, Ken-Pin Hwang1, Jong Bum Son1, Mark D Pagel3, Lumarie Santiago4, Gary J Whitman4, Huong Le-Petross4, Tanya W Moseley4, Rosalind P Candelaria4, Thorunn Helgason5, Elizabeth E Ravenberg6, Jennifer K Litton6, Stacy L Moulder6, Wei T Yang4, Jingfei Ma1, Gaiane M Rauch2, and Beatriz E Adrada4 | ||
1Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 2Abdominal Imaging, MD Anderson Cancer Center, Houston, TX, United States, 3Cancer Systems Imaging, MD Anderson Cancer Center, Houston, TX, United States, 4Breast Imaging, MD Anderson Cancer Center, Houston, TX, United States, 5Investigational Cancer Therapeutics, MD Anderson Cancer Center, Houston, TX, United States, 6Breast Medical Oncology, MD Anderson Cancer Center, Houston, TX, United States |
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Diffusion fractional anisotropy and ADC were compared between tumors, peritumoral edema, and fibroglandular tissue in triple negative breast cancer. Fractional anisotropy in the peritumoral edema of triple negative breast cancer did not correlate strongly with ADC and may offer additional characterization of peritumoral edema. |
| 4884 | Diffusion tensor distribution imaging of breast tumors: Initial findings | |
| Isaac Damiel1, Daniel Topgaard2,3, Karin Bryske2, Sunitha Thakur1, and Katja Pinker-Domenig1 | ||
1Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Random Walk Imaging, Lund, Sweden, 3Lund University, Lund, Sweden |
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Diffusion tensor distribution (DTD) imaging was applied in a pilot study to investigate the potential for breast tumor grading in a clinical setting. The method relies on advanced gradient waveforms to encode the signal with information about cell densities, shapes, and orientations, and quantify tissue composition as a probability distribution in a space with dimensions analogous to the cellular ones. Five patients with ductal carcinoma underwent a <4 min DTD protocol giving voxel-resolved distributions and parameter maps with microstructural information not accessible with conventional methods, thereby encouraging future studies with larger patient groups and comparison with current gold standards. |
| 4885 | MRI and PET for staging of axillary lymph nodes in breast cancer at diagnosis | |
| Pauline Huang1, Renee Cattell1, Meghan Moriarty1, Kwan Chen1, Lev Bangiyev1, Cliff Bernstein1, Jules Cohen1, Lea Baer1, Dinko Franceschi1, Haifang Li1, and Tim Duong1 | ||
1Radiology, Renaissance School of Medicine, Stony Brook, NY, United States |
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In breast cancer, lymph node status is highly related to prognosis. We evaluated the use of MRI of axillary lymph nodes (aLNs) to detect metastasis in pre-chemo breast cancer with PET as reference standard. For 4 readers scoring on T1-weighted DCE and T2-weighted MRI, the AUC, sensitivity, specificity and accuracy ranged from 0.73-0.85, 64%-83%, 54-91%, and 67-79%, respectively. Readers showed significant agreement (Spearman’s Rho 0.35-0.65). Though improvement is needed, this approach presents a less invasive method of assessing all aLNs and avoiding their unnecessary removal. |
| 4886 | q-Space imaging is more sensitive to breast tumour cellularity than conventional diffusion-weighted imaging methods at 3T | |
| Nicholas Senn1, Yazan Masannat2, Ehab Husain3, Bernard Siow4, Steven D Heys5, and Jiabao He1 | ||
1Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom, 2Breast Unit, Aberdeen Royal infirmary, Aberdeen, United Kingdom, 3Pathology department, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 4Francis Crick Institute, London, United Kingdom, 5School of Medicine, University of Aberdeen, Aberdeen, United Kingdom |
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q-Space imaging (QSI) was compared against conventional DWI and non-Gaussian diffusion models of diffusion kurtosis imaging (DKI) and stretched-exponential model (SEM) to evaluate the skewness in histogram distribution of diffusion displacement and diffusivity for profiling breast tumour cellularity. We investigated whole breast tumours excised from surgery, with imaging performed same day overnight on a clinical 3T MRI system. We found QSI to yield a higher effect gradient to assess cellularity in breast cancer compared with conventional diffusion-weighted imaging methods. The skewness obtained from QSI further showed fidelity with the skewness of cellularity obtained from histology. |