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Taxonomy: TH- Small Animal RT: Response assessment
| BReP-SNAP-I-7 | Assessment of the Perfusion Variation After Radiotherapy for Brain Metastasis Using MR 3D ASL Perfusion Imaging C Hou1*, G Gong2, Y Yin3, (1) Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, ShanDong, CN, (2) Shandong Cancer Hospital Affiliated to Shandong University, Jinan, CN (3) Shandong Cancer Hospital Affiliated to Shandong University, Jinan, ,CN |
| BReP-SNAP-M-7 | A Depthwise Separable Convolution Neural Network for Survival Prediction of Head & Neck Cancer R Li1*, A Das2, N Bice1, P Rad2, A Roy2, N Kirby1, N Papanikolaou1, (1) University of Texas HSC SA, San Antonio, Texas, (2) The University of Texas at San Antonio |
| BReP-SNAP-M-63 | Dosimetric Predictors for Volumetric Liver Deformation and Change in Liver Function After SBRT for Hepatocellular Carcinoma: An In-Vivo Assessment Based On Longitudinal Magnetic Resonance Imaging P Brodin*, A Correa De Sousa, H Nash, J Tang, W Tome, N Ohri, S Kalnicki, M Garg, C Guha, R Kabarriti, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY |
| BReP-SNAP-T-78 | Impact of Enhanced CT-Based Heart Model On Estimating Radiation Therapy Related Late-Onset Cardiac Disease in the Childhood Cancer Survivor Study S Shrestha1, 2*, Q Liu3, J Bates4, Y Yasui5, A Gupta1, 2, C Owens1, 2, S Smith1, R Weathers1, C Lee6, B Hoppe7, W Leisenring8, K Oeffinger9, L Constine10, D Mulrooney5, G Armstrong5, R Howell1, 2, (1) MD Anderson Cancer Center, TX (2) UTHealth Graduate School of Biomedical Sciences, TX (3) University Of Alberta, Canada (4) University Of Florida, FL (5) St. Jude Children's Research Hospital, TN (6) National Cancer Institute, MD (7) Mayo Clinic, FL (8) Fred Hutchinson Cancer Research Center, WA (9) Duke University, NC (10) University of Rochester Medical Center, NY |
| BReP-SNAP-T-105 | Minibeam Radiation Is Superior to Uniform Radiation for Abscopal Effect When Combined with PD-L1 Checkpoint Inhibitor Immunotherapy S Chang1,2*, J Rivera2, K Laemont3, S Stryler3, A Tovmasyan3, G Palmer3, (1) Department of Radiation Oncology, University of North Carolina, Chapel Hill, NC, (2) Department of Biomedical Engineering, A Joint Program of the University of North Carolina and North Carolina State University, Chapel Hill, NC, (3) Duke University School of medicine, Durham, NC |
| MO-F-TRACK 2-2 | A Deep Learning Based Segmentation and Evaluation Framework for Brain Metastases Follow-Up After Stereotactic Radiosurgery Z Yang1*, L Wang2, Y Liu3, M Chen1, E Zhang1, R Timmerman1, T Dan1, Z Wardak1, W Lu1, X Gu1, (1) UT Southwestern Medical Center, Dallas, TX (2) University Of Texas At Arlington, TX (3) Sichuan University, Chengdu, CN |
| PO-GeP-I-79 | Developing a Novel Approach for ECG Classification Using Modified Local Binary Patterns e zeraatkar1*, M Gholamian2, N Jahani3, M Yazdi4, (1) Shiraz Urban Railway Organozation,Shiraz,IR (2) Shiraz University, Shiraz Iran,(3) Green Land Shiraz Eksir Chemical and Agricultural Industries Cimpant,Shiraz,Iran(4)Shiraz University,Shoraz Iran |
| PO-GeP-I-87 | Digital Whole Slides-Based Deep Learning for the Prediction of Treatment Outcome in Head and Neck Squamous Cell Carcinoma H Yu1, D Jing2, W Lu1, W Lu1, J Qiu1, L Shi1*, (1) Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, CN, (2) Xiangya Hospital, Central South University, Changsha, CN |
| PO-GeP-M-13 | A Deep Transfer Learning-Based Radiomics Model for Prediction of Local Recurrence in Laryngeal Cancer Y Jia12*, X Qi2, J Du2, R Chin2, E McKenzie2, K Sheng2, (1) Shaanxi Key Laboratory of Network Data Intelligent Processing; UCLA School of Medicine, Xi'an, Shaanxi, CN, (2) UCLA School of Medicine, Los Angeles, CA |
| PO-GeP-M-123 | Convolutional Neural Network Learning From RT Dose Distribution and Images Improves Predicting Locoregional Recurrence for Head and Neck Cancer A Wu1*, Y Li2, M Qi1, X Lu1, Y Liu1, L Zhou1, T Song1, (1) Southern Medical University, Guangzhou, Guangdong, CN, (2) Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, CN |
| PO-GeP-M-300 | MRI Radiomic Analysis for Survival Prediction in Diffuse Midline Glioma L Tam1, M Han1, D Yecies1, K Yeom1, S Mattonen2*, (1) Stanford University, Stanford, CA, USA (2) Western University, London, ON, CA |
| PO-GeP-M-323 | Partial Volume Correction (PVC) in Quantitative 18F-FDG PET/CT Imaging On Intratumoral Dose Response Assessment S Chen*, S Chang, D Krauss, D Yan, William Beaumont Hospital, Royal Oak, MI |
| PO-GeP-M-329 | Predicting Prognosis of Posterior Fossa Ependymoma Using MRI Radiomics L Tam1, D Yecies1, M Han1, K Yeom1, S Mattonen2*, (1) Stanford University, Stanford, CA, USA (2) Western University, London, ON, CA |
| PO-GeP-M-331 | Predicting Treatment Outcome After Immunotherapy Based On Delta-Radiomic Model in Metastatic Melanoma X Chen1*, M Zhou1, K Wang2, Z Wang4, Z Zhou4, (1) Xi'an Jiaotong University, Xi'an, Shaanxi, CN, (2) UT Southwestern Medical Center, Dallas, TX, (3) Peking University Cancer Hospital, Beijing, CN, (4) University Of Central Missouri, Warrensburg, Missouri |
| PO-GeP-M-351 | Quantifying Radiation-Induced Changes to Pulmonary Anatomy Through Dose-Binned Hounsfield Unit Analysis Pre- and Post-RT A Wuschner1*, E Wallat1, M Flakus1, D Shanmuganayagam1, J Meudt1, G Christensen2, J Reinhardt2, J Bayouth1, (1)University of Wisconsin, Madison, WI (2) Univ Iowa, Iowa City, IA |
| PO-GeP-M-352 | Quantifying the Effects of Radiation Therapy Fractionation Scheme On Dose Response Modeling E.M. Wallat1*, A.E. Wuschner1, M.J. Flakus1, W. Shao2, J.M. Reinhardt2, G.E. Christensen2, J.E. Bayouth1, (1)University of Wisconsin-Madison, Madison, WI (2) University of Iowa, Iowa City, IA |
| PO-GeP-M-410 | Treatment of Oligoresistant and Oligoprogressive Disease in Metastatic Prostate Cancer Patients with Radiation Therapy A Roth1*, G Cooley1, J Smilowitz1, P Ferjancic1, G Liu1, R Jeraj1,2, (1) University of Wisconsin, Madison, WI, (2) University of Ljubljana, SI |
| PO-GeP-M-431 | Voxel Forecast Classifier to Predict Spatially Variant Binary Tumor Voxel Response On Longitudinal FDG-PET/CT Imaging of FLARE-RT Protocol Patients S Bowen1*, D Hippe1, W Chaovalitwongse2, P Thammasorn2, X Liu2, R Iranzad2, R Miyaoka1, H Vesselle1, P Kinahan1, R Rengan1, J Zeng1, (1) University of Washington, School of Medicine, Seattle, WA, (2) University of Arkansas, Fayetteville, AR |
| PO-GeP-T-70 | A Study of Reoxygenation of Cancer Cells After Application of Radiation of Different Sized Doses Using a Diffusion Model Y Watanabe, E Dahlman*, University of Minnesota, Minneapolis, MN |
| PO-GeP-T-122 | Assessing the Importance of Oral Cavity Dosimetry On Patient Reported Xerostomia and Dysgeusia in Patients Receiving De-Intensified Treatment for Oropharynx Cancer D Fried*, A Fuquay, S Das, B Chera, C Shen, K Pearlstein, Univ North Carolina, Chapel Hill, NC |
| PO-GeP-T-291 | Development of An Age-Scalable Colon Model with Substructures for Colon Radiation Therapy Dosimetry in Large Pediatric Cohorts for Late-Effects Studies C Owens1,2*, A Gupta1,2, S Shrestha1,2, S Smith1, C Lee3, C Peterson1,4, A Paulino5, S Kry1,2, D Followill1,2, R Howell1,2, (1) Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA, (2) The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX, USA, (3) Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD, USA, (4) Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA, (5) Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA |
| PO-GeP-T-409 | Evaluation of PET/clinical Parameters to Predict Toxicity in Chimeric Antigen Receptor T-Cell Therapy Patients with Relapsed/refractory Non-Hodgkin Lymphoma C Uche*, C Wright, J Baron, M Lariviere, A Barsky, D Miller, A Maity, J Plastaras, Y Xiao, University of Pennsylvania, Philadelphia, PA |
| PO-GeP-T-684 | Radiation Planning and the Dosimetric Impact On An Orthotopic and Syngeneic Murine Model of Breast Cancer S Rusu1*, B Janic2, S Brown3, G Valadie4, J Ewing5, I Chetty6, N Wen7, (1) Henry Ford Hospital, Detroit, MI, (2) Henry Ford Hospital System, Grosse Point Woods, MI, (3) Henry Ford Hospital, Detroit, MI, (4) Wayne State University, Detroit, MI, (5) Henry Ford Hospital System, Detroit, MI, (6) Henry Ford Health System, Canton, MI, (7) Henry Ford Health System, Detroit, MI |
| PO-GeP-T-702 | Relationship Between Yttrium 90 Radioactivity Distribution and Treatment Response in Transarterial Radioembolization of Hepatocellular Carcinoma, An Institutional Study Results C Adcock*, E Florez, A Patel, C M. Howard, A Fatemi, H Khosravi, University of Mississippi Medical Center, Jackson, MS |
| SU-F-TRACK 1-7 | The Application of Partial Domain Adaptation Transfer Learning in the Classification of Retinopathy Using OCT Images From Different Datasets J Wu1*, D Li1, YM Yang2, (1) Shandong Normal University, Jinan, Shandong, CN, (2) UCLA, Los Angeles, CA |
| TH-B-TRACK 5-0 | Outcome Modeling and Response Prediction X Li1*, I El Naqa2*, J Seuntjens3*, X Qi4*, (1) Medical College of Wisconsin, Milwaukee, WI, (2) University of Michigan, Ann Arbor, MI, (3) McGill University, Montreal, QC, (4) UCLA School of Medicine, Los Angeles, CA |
| TH-B-TRACK 5-1 | Introduction: outcome modeling and response prediction from analytic to data-driven X Li1*, I El Naqa2*, J Seuntjens3*, X Qi4*, (1) Medical College of Wisconsin, Milwaukee, WI, (2) University of Michigan, Ann Arbor, MI, (3) McGill University, Montreal, QC, (4) UCLA School of Medicine, Los Angeles, CA |
| TH-B-TRACK 5-2 | Radiomics and radiogenomics modeling with machine learning X Li1*, I El Naqa2*, J Seuntjens3*, X Qi4*, (1) Medical College of Wisconsin, Milwaukee, WI, (2) University of Michigan, Ann Arbor, MI, (3) McGill University, Montreal, QC, (4) UCLA School of Medicine, Los Angeles, CA |
| TH-B-TRACK 5-3 | Multimodality radiomics and deep learning for outcome modeling: application in head & neck cancer X Li1*, I El Naqa2*, J Seuntjens3*, X Qi4*, (1) Medical College of Wisconsin, Milwaukee, WI, (2) University of Michigan, Ann Arbor, MI, (3) McGill University, Montreal, QC, (4) UCLA School of Medicine, Los Angeles, CA |
| TH-B-TRACK 5-4 | Opportunities and challenges of outcome modeling & response prediction for radiation therapy X Li1*, I El Naqa2*, J Seuntjens3*, X Qi4*, (1) Medical College of Wisconsin, Milwaukee, WI, (2) University of Michigan, Ann Arbor, MI, (3) McGill University, Montreal, QC, (4) UCLA School of Medicine, Los Angeles, CA |
| TU-CD-TRACK 2-2 | Integrating Multi-Omics Information in Deep Learning Architecture for Joint Actuarial Outcome Prediction in Non-Small-Cell Lung Cancer Patients After Radiation Therapy S Cui*, R Ten Haken, I El Naqa, University of Michigan, Ann Arbor, MI |
| TU-CD-TRACK 2-5 | Comparing V/Q SPECT Dose-Function Metrics with Regard to Radiation-Induced Lung Toxicity in NSCLC Patients Undergoing RT D Owen1*, Y Sun2, B Viglianti3, I El Naqa4, J Balter5, S Jolly6, R Ten Haken7, F Kong8, M Matuszak9, (1) Univ Michigan, Ann Arbor, MI, (2) University Of Michigan Radiation Oncology, ,,(3) ,,,(4) University of Michigan, Ann Arbor, MI, (5) Univ Michigan, Ann Arbor, MI, (6) University of Michigan, Ann Arbor, MI, (7) University of Michigan, Ann Arbor, MI, (8) Case Western Reserve University- School of Medicine, Cleveland, OH, (9) University of Michigan, Ann Arbor, MI |
| TU-CD-TRACK 2-9 | The Association Between Clinical Factors and Biochemical Outcome for High-Risk Prostate Cancer Patients L Sun1,2*, H Quon1,2, V Tran1, P Chen2, C Kirkby1,3, W Smith1,2 (1) University of Calgary, Calgary, AB, CA, (2) Tom Baker Cancer Centre, Calgary, AB, CA, (3) Jack Ady Cancer Centre, Lethbridge, AB, CA |
| TU-CD-TRACK 2-12 | Longitudinal MRI Based Radiomics: Classifying Rectal Cancer Response to Radiation Therapy A Chen1*, Y Gao2, Y Yang2, P Hu2, (1) Jericho High School,(2) University of California, Los Angeles, Los Angeles, CA |
| TU-CD-TRACK 2-13 | Detection of Radiation Induced Bone Marrow Damage in a Swine Model Through PET, MRI and Dual Energy CT M Lawless*, J Huang, J Bayouth, K Li, A McMillan, A Pirasteh, J Meudt, D Shanmuganayagam, S Reeder, J Miller, University of Wisconsin, Madison, WI |
| TU-D-TRACK 3-5 | NTCP Fitting of Cardiac Toxicity and Dose to Different Parts of Heart After Radiation for Stage III Non-Small Cell Lung Cancer P Mavroidis*, M Eblan, B Jensen, J Dooley, L Marks, S Das, K Wang, Univ North Carolina, Chapel Hill, NC |
| WE-D-TRACK 1-6 | Comparison of Automated Methods for Detection and Prognostication in Metastatic Prostate Cancer Using 18F-NaF PET/CT Images B Schott*1, A J Weisman1, T G Perk1, A R Roth1, S Yip2, G Liu1, R Jeraj13, (1) University of Wisconsin, Madison, WI, (2) AIQ Solutions, Madison, WI, (3) University of Ljubljana, Slovenia |
| WE-F-TRACK 1-4 | Deep-Learning for Differentiation of Benign From Malignant Parotid Lesions On MR Image B Feng1,2*, X Xia3, L Xu4, C Hu1,2, J Wang1,2, Z Zhang1,2, W Hu1,2, (1) Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, CN (2) Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, CN (3) Department of Radiology, Municipal Hospital Affiliated to Medical School of Taizhou University, Taizhou, CN (4) Department of Radiology, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, CN |
| WE-F-TRACK 1-5 | Prediction of Gleason Grade Group of Prostate Cancer On Multiparametric MRI Using Deep Learning, Transfer Learning, Representation Learning and Prototype Network W Zong*, M Pantelic, E Mohamed, N Wen, Henry Ford Health System, Detroit, MI |