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Keywords: Radiation Therapy
| MO-IePD-TRACK 3-1 | Comparison of CT-Guided and MR-Guided Adaptive Radiotherapy for Intramuscular Metastasis S Prajapati1*, Y Zhao1,2, C Tang1, Z Yu1, B Lee1, P Castillo1, A Sobremonte1, R Kudchadker1, J Yang1, (1) UT MD Anderson Cancer Center, Houston, TX, (2) UT MD Anderson UTHealth Graduate School of Biomedical Sciences, Houston, TX |
| MO-IePD-TRACK 3-2 | Dosimetric Benefits of MR Guided Adaptive Radiation Therapy A Sethi*, S Hoffman, J Ingram, B Lee, J Roeske, T Refaat, Loyola University Medical Center, Maywood, IL |
| MO-IePD-TRACK 4-2 | Graph Theory-Based Radiomics Features: Application of Tumor Network Structures On CT-Based Radiomics for Prognostic Prediction M Umeda*, N Kadoya, S Tanaka, S Tanabe, Y Sugai, T Ishida, H Ohashi, S Dobashi, K Takeda, K Jingu, Tohoku University, Sendai, JP |
| MO-IePD-TRACK 4-4 | Treatment Response Prediction for MRI-Guided Adaptive Radiation Therapy of Pancreatic Cancer Using Multiscale Wavelet-Based Delta-Radiomics H Nasief*, W Hall, X Chen, E Paulson, B Erickson, X Li, Medical College of Wisconsin, Milwaukee, WI |
| MO-IePD-TRACK 4-6 | CT-Based Deep Learning Radiomics for Predicting Chemoradiation Treatment Response in Locally Advanced Rectal Cancer J Fu1*, Z Wang1, K Singhrao1, J Lewis2, X Qi1, (1) Department of Radiation Oncology, UCLA, Los Angeles, CA, (2) Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA |
| MO-IePD-TRACK 5-2 | Solving the Non-Convex Volumetric Modulated Arc Therapy (VMAT) Problem Via a Sequence of Convex Optimization Problems P Dursun*, G Jhanwar, J Deasy, M Zarepisheh, Memorial Sloan Kettering Cancer Center, New York, NY |
| MO-IePD-TRACK 5-3 | A Deep-Learning-Based Dual-Arc VMAT Plan Generation From Patient Anatomy for Prostate Simultaneous Integrated Boost (SIB) Cases Q Zhu1*, X Li2, Y Ni3, C Wang4, Q Wu5, Y Ge6, F Yin7, Q Wu8, (1) Duke Kunshan University, Kunshan, 32, CN, (2) Duke University Medical Center, Durham, NC, (3) ,,,(4) Duke University Medical Center, Durham, NC, (5) Duke University Medical Center, Durham, NC, (6) University of North Carolina at Charlotte, Charlotte, NC, (7) Duke University, Chapel Hill, NC, (8) Duke University Medical Center, Durham, NC |
| MO-IePD-TRACK 5-5 | Plan N Check: An Open-Source Tool for Automatic Head-And-Neck VMAT Planning in Varian Eclipse™ C Sample1*, H Clark2, (1) British Columbia Cancer Agency, Vancouver, BC, CA, (2) British Columbia Cancer Agency, Surrey, BC, CA |
| MO-IePD-TRACK 5-6 | A Fully-Automated Field-In-Field Algorithm Translatable to Multiple Disease Sites K Huang1,2*, D Rhee1,2, A Olanrewaju2, D Hancock2, L Zhang2, C Cardenas1,2, P Das2, S Beddar1,2, D Fuentes1,2, T Briere1,2, L Court1,2, (1) University of Texas MD Anderson UTHealth Graduate School of Biomedical Sciences, (2) University of Texas MD Anderson Cancer Center, Houston, TX |
| MO-IePD-TRACK 5-7 | Principal Component Analysis of Dose Clustering Patterns for Parotid Toxicity Modeling in Head and Neck Radiation Therapy M Chao1*, I El Naqa2, Y Lo1, J Penagaricano2, (1) Mount Sinai Medical Center, New York, NY, (2) Moffitt Cancer Center, Tampa, FL |
| MO-IePD-TRACK 6-5 | Survival Prediction of Locally Advanced Non-Small Cell Lung Cancer Via Machine Learning Techniques Based On Multi-Region Radiomics Features and Clinical Risk Factors R Nishioka1, D Kawahara2, N Imano2, Y Nagata1,3(1)Medical and Dental Sciences Course, Graduate School of Biomedical & Health Sciences, Hiroshima University, Hirohima, JP(2)Department of Radiation Oncology, Graduate School of Biomedical Health Sciences, Hiroshima University Hirohima, JP(3)Hiroshima High-Precision Radiotherapy Cancer Center Hirohima, JP |
| MO-IePD-TRACK 6-6 | Prediction of Therapeutic Outcomes of Patients with Non-Small Cell Lung Cancer for Stereotactic Ablative Radiotherapy Based On a Differential Model E Mai*1, A Hidetada2,T Huy1,Y Shirakawa3, N Kenta1, Y Tadamasa4,S Yoshiyuki5,(1) Division of Medical Quantum Science, Department of Health Sciences, Graduate School of Medical Science, Kyushu University, Fukuoka,JP(2)Division of Medical Quantum Science, Department of Health Sciences, Faculty of Medical Sciences, Kyushu University,Fukuoka,JP(3)Department of Radiation Oncology, National Hospital Organization Kyushu Cancer Center,Fukuoka,JP(4)Department of Radiology, Kyushu University Hospital,Fukuoka,JP(5)Kyushu International Heavy Ion Cancer Treatment Center,Saga,JP |
| PO-GePV-E-1 | A Chatbot for the Staff in Radiotherapy Using Artificial Intelligence and Machine Learning K Li1, J Chow2*, (1) York University, Toronto , ON, CA, (2) Princess Margaret Cancer Centre, Toronto, ON, CA. |
| PO-GePV-E-11 | Development of a Flipped-Classroom Style Medical Physics Course for Radiation Therapist Students M Hyun*, A Besemer, S Wisnoskie, Y Lei, S Li, D Schott, S Wang, D Zheng, J Koth, L Bartenhagen, University of Nebraska Medical Center, Omaha, NE |
| PO-GePV-M-51 | A Multichannel Feature-Based Approach for Longitudinal Lung CT Registration in the Presence of Radiation Induced Lung Damage A Stavropoulou1*, A Szmul1, E Chandy1,2, C Veiga1, D Landau2,3, J McClelland1, (1) University College London, UK, (2) University College Hospital London, UK, (3) Guys & St Thomas NHS Foundation Trust, UK |
| PO-GePV-M-69 | Adaptive Radiation Therapy with Deformable Image Registration and 4D Dose Calculation I Ali1*, N Alsbou2, S Ahmad1, (1) University of Oklahoma Health Sciences Center, Oklahoma City, OK, (2) Department of Engineering and Physics, University of Central Oklahoma, Edmond, OK, |
| PO-GePV-M-84 | A Dilated Convolution Neural Network to Predict Three-Dimensional Dose Distribution in IMRT Treatment of Cervical Carcinoma Y Yang, Z Yuan*, University of Science and Technology of China, Hefei, Anhui, China |
| PO-GePV-M-87 | Comparison of Target Coverage Between Adapted and Non-Adapted Treatment Plans for Prostate Radiation Therapy I Gallagher*, J Riess, C Coughlin, I Chetty, A Kretzler, S Vance, B Movsas, Henry Ford Health System, Detroit, MI |
| PO-GePV-M-94 | AI-Based Online Adaptive Radiation Therapy for Lung Cancer Treatment W Mao*, J Riess, J Kim, S Vance, P Parikh, H Li, B Zhao, B Movsas, I Chetty, A Kretzker, Henry Ford Health System, Detroit, MI |
| PO-GePV-M-127 | DeepDoseNet: A Deep Learning-Based Approach for 3D Dose Prediction M H Soomro1*, V Leandro Alves1, H Nourzadeh2, J Siebers1, (1) University of Virginia Health System, Charlottesville, VA, (2) Thomas Jefferson University, Philadelphia, PA. |
| PO-GePV-M-149 | Left Ventricle Avoidance in Non-Small Cell Lung Cancer Radiotherapy: A Planning Comparison Study O Chau1,2*, S Gaede1,2, (1) Western University, London, Ontario, CA, (2) London Regional Cancer Program, London, ON, CA |
| PO-GePV-M-150 | Comparison of a Commercial Calculation-Based and Offline Measurement-Based Systems for Online Adaptive Radiotherapy A Quinn1*, A Briggs2, B Zwan3, J Booth4, (1) Royal North Shore Hospital, Sydney, NSW, AU, (2) Royal North Shore Hospital, Sydney, ,AU, (3) Gosford Hospital, Gosford, NSW, AU, (4) Royal North Shore Hospital, Sydney, NSW, AU |
| PO-GePV-M-198 | Development and Performance Evaluation of a Portable Respiratory Self-Training System Using Patch Type Magnetic Sensor H Kang, J Kim, D Kim*, Yonsei Cancer Center, Seoul, 41KR, |
| PO-GePV-M-208 | A Supplementary Management System for Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR) J Lin*, A Godley, R Timmerman, D Sher, J Wu, G Tang, Y Yan, The University of Texas Southwestern Medical Ctr, Dallas, TX |
| PO-GePV-M-209 | Analysis of the Dose Enhancement Factor in the Presence of Gold Nanoparticles in Clinical Radiotherapy Beams P Monteiro1*, A Quevedo2, H Trombini1, T Pianoschi 1, (1)Federal University of Health Sciences of Porto Alegre ,Porto Alegre, RS, BR, (2) University of Sao Paulo, Ribeirao Preto, SP, BR |
| PO-GePV-M-213 | Effect of VMAT Improvement Before and After Referring to Radiation Therapy Planning QA Software M Sasaki1*, Y Nakaguchi2, T Kamomae3, S Kobuchi4, K Kuwahara5, A Kajino6, D Sato7, H Ikushima8, (1) Department of Therapeutic Radiology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, ,JP, (2) TOYO-MEDIC Co.,Ltd, Shinjuku-ku, 13, JP, (3) Nagoya University Graduate School of Medicine, Nagoya, ,JP, (4) Graduate School of Health Sciences, Tokushima University, Tokushima, Kyoto, ,JP, (5) Graduate School of Health Sciences, Tokushima University, Tokushima, Tokushima, ,JP, (6) Graduate School of Health Sciences, Tokushima University, Tokushima, Tokushima, ,JP, (7) Graduate School of Health Sciences, Tokushima University, Tokushima, Tokushima, ,JP, (8) Department of Therapeutic Radiology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, ,JP |
| PO-GePV-M-214 | Geometric and Dosimetric Impact of 3D Generative Adversarial network-Based Metal Artifact Reduction Algorithm On VMAT and IMPT for the Head and Neck Region M Nakamura1*, M Nakao2, K Imanishi3, H Hirashima1, Y Tsuruta1,4, (1)Graduate School of Medicine, Kyoto University,(2)Graduate School of Informatics, Kyoto University,(3)e-Growth Co., Ltd.,(4)Kyoto University Hospital |
| PO-GePV-M-232 | Clinical Evaluation Study of Image Guided Radiotherapy (IGRT) for Prostate Cancer Comparing Kv Imaging of Fiducial Markers and Cone Beam Computed Tomography (CBCT) Using SpaceOAR-View as a Matching Structure R Mghari*, I Pataki, K Keene, Cape Fear Valley Medical Center, Holly Springs, NC |
| PO-GePV-P-9 | Value of Peer Review: An Outreach Facility Perspective M Meineke PhD, S Walston DO, A Fogle CMD, D Christ DMP, G Graeper, MSc, M Weldon, MSc, J Pichler, MSc, N Gupta PhD, K Hintenlang PhD*, The Ohio State University, Department of Radiation Oncology, Columbus, OH |
| PO-GePV-P-19 | Regional Workshops as a Method to Facilitate the Implementation of Task Group Recommendations: The Experience of AAPM Task Group 275 S Parker1*, L Fong de los Santos2, A Greener3, G Kim4, D Schofield5, K Smith6, M Wells7, E Yorke8, E Ford9, (1) Wake Forest Baptist Health High Point Medical Center, High Point, NC, (2) Mayo Clinic, Rochester, MN, (3) VA Medical Center, East Orange, NJ, (4) University of California, San Diego, La Jolla, CA, (5) AdventHealth Orlando, Clermont, FL, (6) Mary Bird Perkins Cancer Center, Baton Rouge, LA, (7) Piedmont Healthcare, Atlanta, GA, (8) Memorial Sloan-Kettering Cancer Center, New York, NY, (9) University of Washington, Seattle, WA |
| PO-GePV-P-27 | Evaluation of Varian Identify SGRT System for Localization of Cranial Targets V Stakhursky1*, W Chang2, M Sewell3, I Stakhurska4, S Kriminski5, (1) USONCOLOGY CMOH, Philadelphia, PA, (2) U Oncology, Philadelphia, PA,(3) US Oncology, Snellville, GA, (4) Karlsruher Institut Fur Technologie Studienkolleg, Karlsruher, DE, (5) Health Quest, Wappingers Falls, NY |
| PO-GePV-T-28 | Evaluation of Eclipse Smart Segmentation for Liver Yttrium-90 Selective Internal Radiation Therapy J Li*, R Anne, Thomas Jefferson University, Philadelphia, PA |
| PO-GePV-T-48 | A Clinical Workflow for Creating 3D Printed Bolus with Isocenter and Orientation Labels for Placement L KUO*, S Hellman, M Trager, C Huang, M Aristophanous, C Barker, G Li, Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-T-71 | Radiobiological Evaluation of Physical Metrics in IMPT and VMAT Planning for Prostate Cancer Patient with Metal Hip Prostheses W Hsi1*, T Lee2, (1) Univerisity Florida Health Proton Therapy Institute, Jacksonville, Florida, (2) Indiana University Health Arnett, Lafayette, IN |
| PO-GePV-T-82 | Determination of Plan Deliverability and Treatment Time Estimation for Proton Pencil Beam Therapy Using a Machine Emulator Script S Mossahebi1*, E Makdsay Hana1, J Williams1, B Algawwam1, A Meijers2, B Yi1, (1) University of Maryland Medical School, Baltimore, MD, (2) Varian Medical Systems, Palo Alto, CA |
| PO-GePV-T-84 | Log File-Based Patient Specific Quality Assurance: 5 Years of Experience in Pencil Beam Scanning Pediatric Proton Therapy O Ates*, F Pirlepesov, C Hua, T E Merchant, L Zhao, St. Jude Children's Research Hospital, Memphis, TN |
| PO-GePV-T-97 | Optimizing Design And commissioning of a Synchrotron Proton Beamline for FLASH Preclinical experiments U Titt1*, M Yang1, X Wang1, S Lin1, X Zhu1, K Iga2, N Sahoo1, A Koong1, X Zhang1, R Mohan1, (1) MD Anderson Cancer Center, Houston, TX, (2) Hitachi America, Ltd. |
| PO-GePV-T-99 | The Software Controller of Isocentric Rotation Chair Positioner for Treating Patients with Head/Neck Cancers in Fixed Carbon-Ion Beamline W Hsi1*, X Zhang2, F Yang2, R Zhou2, (1) Univerisity Florida Health Proton Therapy Institute, Jacksonville, Florida, US (2) College of Physical Science and Technology, Sichuan University, Chengdu, Sichuan Province, China |
| PO-GePV-T-129 | Impact of Noise Level On the Analysis of Proton Exposed Targets F Saheli1*, N Vosoughi2, Z Riazi3, H Shahabinejad4, F Rasouli5, (1) Sharif, Tehran, IR, (2) (3) (4) (5) |
| PO-GePV-T-134 | Sensitivity of Target Coverage and Patient Specific IMPT QA to Spot Positioning Errors S Mossahebi1*, P Sabouri2, B Zhang1, E Makdsay Hana1, J Williams1, S Chen1, (1) University of Maryland Medical School, Baltimore, MD, (2) Miami Cancer Institute, Miami, FL |
| PO-GePV-T-135 | Impact of Spot Position Uncertainties On Intensity Modulated Proton Therapy Plans for Head and Neck Cancers P Sabouri1*, S Mossahebi2, B Zhang2, S Chen2, (1) Miami Cancer Institute, Miami, FL, (2) University of Maryland Medical School, Baltimore, MD |
| PO-GePV-T-136 | Impact of Esophageal and Biliary Stents On Proton Dose Calculation S Mossahebi1*, P Sabouri2, G Kim1, J Polf1, J Molitoris1, B Greenwald1, P Darwin1, S Chen1, (1) University of Maryland Medical School, Baltimore, MD, (2) Miami Cancer Institute, Miami, FL |
| PO-GePV-T-168 | 4D Monte Carlo Assessment of the Impact of Inter- and Intra-Fractional Respiratory Motion Variation On Delivered Dose M Shiha1,2*, J E Cygler1,2,3, R Macrae1,3, E Heath2 (1) The Ottawa Hospital Cancer Centre, Ottawa, ON, CA, (2) Carleton Univ, Ottawa, ON, CA,(3) University of Ottawa, Ottawa, ON, CA |
| PO-GePV-T-169 | Dosimetric Impact On VMAT Plan Delivery From Tumor Motion Variations Due to Breathing Irregularities A Sehovic*, P Shukla, L Xu, X Nie, L Zhang, P Wang, A Wu, A Rimner, P Zhang, G Li, Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-T-188 | A Convolutional neural Network Model for Predicting Gamma Passing Rate of 3D Array Detector-Based VMAT QA T Matsuura1,2*, D Kawahara2, A Saito3, E Shiba4, K Yamada1, S Ozawa1,2, Y Nagata1,2, (1) Hiroshima High-Precision Radiotherapy Cancer Center, Hiroshima, Japan, (2) Hiroshima University, Hiroshima, Japan, (3) Hiroshima University Hospital, Hiroshima, Japan, (4) Department of Radiation Oncology, Hospital of the University of Occupational and Environmental Health, Fukuoka, Japan |
| PO-GePV-T-213 | Sub-Segmentation of Laryngopharynx Whole-Mean Dose Constraints for Reducing Intra-Organ Dose Variability C Sample1*, H Clark2, (1) British Columbia Cancer Agency, Vancouver, BC, CA, (2) British Columbia Cancer Agency, Surrey, BC, CA |
| PO-GePV-T-258 | An Unsupervised Method for Error Detection of Treatment Plan in Radiotherapy Z Song*, H Yan, J Dai, Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China. |
| PO-GePV-T-268 | Evaluation of Initial Planning Techniques in Ethos for Adaptive Head and Neck Patients N Nasser1,2*, J Caudell2, E Moros2, V Feygelman2, G Redler2, (1) University of South Florida, Tampa, FL, (2) H. Lee Moffitt Cancer Center, Tampa, FL |
| PO-GePV-T-269 | Analyzing Performance of Atlas-Based and Deep Learning-Based Auto-Segmentation in Breast Cancer Patients M Weiland1*, K Kisling1, (1) UC San Diego, La Jolla, CA |
| PO-GePV-T-272 | Implementation of An Automated Workflow for Planning Tangential Breast Radiotherapy T Keiper*, D Hoffman, K Kisling, UC San Diego, La Jolla, CA |
| PO-GePV-T-283 | Improved Dose Prediction Performance with Data Clustering and Transfer Learning On H&N Cancer Patients D Nguyen*, T Bai, A Sadeghnejad Barkousaraie, R McBeth, A Balagopal, S Jiang, Medical Artificial Intelligence and Automation (MAIA) Laboratory, UT Southwestern Medical Center, Dallas, TX, USA |
| PO-GePV-T-319 | Commissioning and Clinical Implementation of Pseudo 4Pi On An MR-Guided Radiotherapy (MRgRT) Linac J McCulloch1,2*, A Gutierrez1,2, T Romaguera1,2, D Alvarez1,2, K Mittauer1,2, (1) Miami Cancer Institute, Baptist Health South Florida, Miami, FL, (2) Florida International University, Herbert Wertheim College of Medicine, Miami, FL |
| PO-GePV-T-321 | Validation of Spatial Fractionated GRID Treatment Planning Using Volumetric Modulated Arc Therapy (VMAT) C Collins*, M Schwer, M Keefe, D Wazer, G Cardarelli, Rhode Island Hospital / Warren Alpert Medical, Providence, RI |
| PO-GePV-T-330 | Capacity Assessment of African Clinics to Conduct Hypofractionated Radiotherapy Clinical Trials for Localized Prostate Cancer W Swanson1*, M Lavelle1, V Ainsworth1, N Bih2, D Seymour3, W Ngwa4, (1) University of Massachusetts Lowell, Lowell, MA, (2) Dana Farber Cancer Institute, Boston, MA, (3) Bio Ventures For Global Health, Wellesley, MA, (4) Brigham and Womens Hospital, Boston, MA |
| PO-GePV-T-331 | Photoelectric Dose-Enhancement Using FDA-Approved Materials W Swanson1*, Y Hao2, W Ngwa3, (1) University of Massachusetts Lowell, Lowell, MA, (2) Washington University School of Medicine, St. Louis, MO, (3) Brigham and Womens Hospital, Boston, MA |
| PO-GePV-T-379 | Dosimetric Comparison of ZAP-X and CyberKnife Stereotactic Radiosurgery for Single Brain Metastasis J Wang1, L Pan2, B Qu1, M Bodduluri3, X Dai1, Z Ju1, C Wang1, J Bai1, S Xu1*, (1) Department of Radiation Oncology, the First Medical Center of PLA General Hospital, Beijing, BJ, CN, (2) Department of Neurosurgery, the First Medical Center of PLA General Hospital. Beijing, BJ, CN, 3)Zap Surgical Systems, Inc. San Carlos, CA, USA, |
| PO-GePV-T-433 | The Plant Hemoglobin Can Be Developed as a Radio-Enhancer in Solid Tumor Radiation Treatment S Yasmin-Karim1*, J Wood2, M Moreau3, W Ngwa4, (1)Harvard Medical School,Boston, MA, (2) Dana - Farber Cancer Institute, Boston, MA, (3) Dana Farber Cancer Institute, Everett, MA, (4) Brigham and Womens Hospital, Boston, MA |
| PO-GePV-T-445 | Relative Response of Murine Lung Tumors From Conventional Radiotherapy (CRT) Versus Pulsed Low-Dose-Rate (PLDR) Radiotherapy T Dos Santos*, D Cvetkovic, L Chen, C Ma, Fox Chase Cancer Center, Philadelphia, PA |
| SU-B-TRACK 6-4 | Managing Tumor Changes During Fractionated Radiotherapy: Evaluation On a Deep-Learning-Based Predictive Model and a Re-Planning Strategy R Li1*, A Roy2, N Kirby1, N Bice1, S Sivabhaskar1, M Fakhreddine1, N Papanikolaou1(1) UT Health San Antonio MD Anderson Cancer Center, San Antonio, Texas, (2) The University of Texas at San Antonio, San Antonio, Texas |
| SU-D-TRACK 4-2 | Automated Predictive Models for Lung ART J Kavanaugh1*, G Hugo1, Z Ji1, J Fontenot4, (1) Washington University School of Medicine, St. Louis, MO, (2) Mary Bird Perkins Cancer Center, Baton Rouge, LA |
| SU-D-TRACK 6-1 | A Systematic Approach to Balancing Radiotherapy Risk Management and Infection Control During a Pandemic N Islam*, S Wadi-Ramahi, R Lalonde, M Huq, UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, Pittsburgh, PA |
| SU-D-TRACK 6-3 | Automatic Detection of Vertebral Body Misalignment Errors in Cone-Beam CT Guided Radiotherapy Using a Convolutional Neural Network D Luximon*, J Neylon, J Lamb, University of California, Los Angeles, Los Angeles, CA |
| SU-E-TRACK 6-3 | JACK KROHMER EARLY-CAREER INVESTIGATOR COMPETITION WINNER: Multi-Group Multi-Block Data Integration for Harmonizing 18F-FDG-PET/CT Radiomics Associated with Circulating Tumor Cells and Predicting Recurrence-Free Survival Across Independent Lung Cancer Radiotherapy Studies S Lee*, G Kao, S Feigenberg, Y Fan, Y Xiao, University of Pennsylvania, Philadelphia, PA |
| SU-F-TRACK 5-6 | Deep Learning-Based Dosimetric Plan Quality Assessment for Prostate Radiotherapy Y Nomura*, C Huang, Y Yang, N Kovalchuk, M Surucu, M Buyyounouski, L Xing, Stanford University, Stanford, CA |
| SU-F-TRACK 6-1 | Automatic Stent Recognition Using Deep Neural Network for Quantitative Intra-Fractional Motion Monitoring in Pancreatic Cancer Radiotherapy X He*, W Cai, F Li, P Zhang, L Cervino, T Li, X Li, Memorial Sloan Kettering Cancer Center, New York, NY |
| SU-IePD-TRACK 2-3 | A Deep Learning-Based Radiomics Approach to Identify Patient with Early Tumor Regression Utilizing Planning CT Images for Adaptive Radiotherapy S Tanaka1*, N Kadoya1, Y Sugai1, M Umeda1, Y Katsuta1, K Ito1, T Yamamoto1, N Takahashi1, K Takeda1, S Dobashi2, K Takeda2, K Jingu1, (1) Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan, (2) Department of Radiation Therapy, Tohoku University Graduate School of Medicine, Sendai, Japan |
| SU-IePD-TRACK 5-5 | Improved Dosimetric Performance of VMAT Total Marrow Irradiation Using Knowledge-Based Planning Approach K Ahn1,2*, M Koshy1,2, J Partouche2, D Rondelli1, P Patel1, Y Hasan2, H Liu2, B Aydogan2, (1) University of Illinois at Chicago, Chicago, IL, (2) University of Chicago, Chicago, IL |
| SU-IePD-TRACK 6-2 | Experimental Verification of Scanning Magnet with Distributed Winding Coils for Particle Beam Therapy K Nagashima*, T Yamada, T Nomura, S Soeda, Hitachi, Ltd. |
| TH-B-TRACK 6-1 | Decompose KV Projections Using Neural Network for Improved Motion Tracking in Paraspinal SBRT X He*, W Cai, F Li, Q Fan, P Zhang, L Cervino, X Li, T Li, Memorial Sloan Kettering Cancer Institute, New York, NY |
| TH-C-TRACK 3-2 | Correcting Image Distortion for Brain Tumor Treatments On An MRI-Linac S Shan1,2*, D Waddington1,2, P Liu1,2, B Dong2, J Buckley2,3, D Elwadia4, T Pham4, G Liney2,3,4, P Keall1,2, (1) ACRF Image X Institute, University of Sydney School of Health Sciences, Sydney, NSW, Australia (2) Ingham Institute For Applied Medical Research, Liverpool, NSW, 2170, Australia (3) Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia (4) Liverpool and Macarthur Cancer Therapy Centres, Liverpool, New South Wales, Australia |
| TH-C-TRACK 6-3 | Hypersensitivity of Cancer Cells to Photon and Proton Radiation Caused by Disruption of Cell Cycle Arrest by An ATR Inhibitor M Manandhar*, S Bright, B Turner, D Flint, M Ben Kacem, D Martinus, S Shaitelman, G Sawakuchi, University of Texas MD Anderson Cancer Center, Houston, TX |
| TH-D-TRACK 5-4 | Evaluation of GRID and Spatially Fractionated Radiation Therapy: Dosimetry and Preclinical Trial T Johnson*, A Bassil, C Kent, N Williams, G Palmer, Y Mowery, M Oldham, Duke University Medical Center, Durham, NC |
| TH-D-TRACK 5-6 | Effect of Incoming Particle Energy and Ionization Cluster Size On the G-Value of Hydrated Electrons A Bui*1, L Childress2, J Sankey2, J Seuntjens13, S A Enger134(1) Medical Physics Unit, McGill University, Montreal, QC, CA, (2) Department of Physics, McGill University, Montreal, QC, CA (3) Research Institute of the McGill University Health Centre, Montreal, QC, CA, (4) Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, CA |
| TH-D-TRACK 6-1 | 3D DenseNet for Improving Dose Prediction of Volumetric Modulated Arc Therapy in Prostate Cancer J Fu1*, K Singhrao1, Z Wang1, D Ruan1, D Low1, J Lewis2, X Qi1, (1) Department of Radiation Oncology, UCLA, Los Angeles, CA, (2) Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA |
| TH-D-TRACK 6-4 | Transfer Learning for Fluence Map Prediction in Adrenal Stereotactic Body Radiation Therapy W Wang1,2*, Y Sheng1, M Palta1, B Czito1, C Willett1, F Yin1,2, Q Wu1,2, Q J Wu1,2, Y Ge3, (1) Duke University Medical Center, Durham, NC, (2) Medical Physics Graduate Program, Duke University, Durham, NC, (3) University of North Carolina at Charlotte, Charlotte, NC |
| TH-D-TRACK 6-6 | Feasibility Study of Cross-Modality IMRT Auto-Planning Guided by a Deep Learning Model G Szalkowski*, X Xu, S Das, P Yap, J Lian, University of North Carolina, Chapel Hill, NC |
| TH-E-TRACK 5-1 | A Feasibility Study for Deep Learning-Based Efficient Monte Carlo Dose Calculation Method in Radiotherapy X Lu1*, Y Li2, Q Mengke1, L Zhou1, T Song1, (1)Department of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, CN, (2)Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, CN |
| TH-F-TRACK 4-1 | A Non-Parametric Analysis to Identify High-Risk Vs. Low-Risk Anatomic Regions Associated with Reduced Overall Survival in the RTOG 0617 Clinical Trial Data J Zhu1*, M Thor2*, A Apte2, J Oh2, A Rimner2, J Deasy2, A Tannenbaum1, (1) Stony Brook University, Stony Brook, NY, (2) Memorial Sloan Kettering Cancer Center, New York, NY |
| TH-F-TRACK 5-3 | An International Validation of Knowledge-Based Planning A Babier1*, B Zhang1, R Mahmood1, V G L Alves2, A Barragan Montero3, J Beaudry4, C Cardenas5, Y Chang6, Z Chen7, J Chun8, H Eraso9, E Faustmann10, S Gaj11, S Gay5, M Gronberg5, J He12, G Heilemann13, S Hira14, Y Huang15, F Ji16, D Jiang16, J Jimenez Giraldo9, H Lee17, J Lian18, K Liu19, S Liu16, K Marixa9, J Marrugo9, K Miki20, T Netherton5, D Nguyen21, H Nourzadeh22, A Osman23, Z Peng6, J Quinto Munoz9, C Ramsl10, D Rhee5, J Rodriguez Arciniegas9, H Shan24, J V Siebers2, M H Soomro2, K Sun25, A Usuga Hoyos9, C Valderrama9, R Verbeek26, E Wang7, S Willems27, Q Wu16, X Xu18, S Yang28, L Yuan29, S Zhu30, L Zimmermann13, K L Moore31, T G Purdie32, A L McNiven32, T C Y Chan1, (1) University of Toronto, Toronto, CA, (2) University of Virginia Health System, Charlottesville, VA, (3) Universite Catholique de Louvain, Brussels, BE, (4) Memorial Sloan Kettering Cancer Center, New York, NY, (5) University of Texas MD Anderson Cancer Center, Houston, TX, (6) University of Science and Technology of China, Hefei, ,CN, (7) WolHelp Technology (Shenzhen) Co Ltd, CN, (8) Yonsei University, Seoul, KR, (9) National University Of Colombia, CO, (10) Vienna University Of Technology, Vienna, AT, (11) Cleveland Clinic, Cleveland, OH, (12) Shanghai Jiao Tong University, Shanghai, CN, (13) Medical University Of Vienna, Vienna, AT, (14) Johns Hopkins University, Baltimore, MD, (15) Peking University Cancer Hospital & Institute, Beijing, CN, (16) Anhui University, Hefei, CN, (17) Massachusetts General Hospital, Boston, MA, (18) University of North Carolina, Chapel Hill, NC, (19) Taiwan Ai Labs, Taipei, TW, (20) Hiroshima University, Hiroshima, JP, (21) UT Southwestern Medical Center, Dallas, TX, (22) Thomas Jefferson University, Philadelphia, PA, (23) Al-Neelain University, Khartoum, SD, (24) Fudan University, Shanghai, CN, (25) Studio Vodels, Atlanta, GA, (26) Aalto University, Espoo, FI, (27) KU Leuven, Leuven, BE, (28) Sichuan University, Chengdu, CN, (29) Virginia Commonwealth University Medical Center, Richmond, VA, (30) Henry Ford Health System, Detroit, MI (31) UC San Diego, La Jolla, CA, (32) Princess Margaret Cancer Centre, Toronto, CA |
| TH-F-TRACK 5-5 | Prescription Tradeoff Decision Support for Pancreas SBRT: From Templates to Artificial Intelligence Models Y Xie1*, R Li1, W Wang1, M Hito2, L Zhang3, W Giles1, H Stephens1, Q Wu1, F Yin1, Y Ge4, Q Wu1, Y Sheng1, (1) Duke University Medical Center, Durham, NC, (2) Princeton University, ,,(3) North Carolina State University, ,,(4) University of North Carolina at Charlotte, Charlotte, NC |
| TH-F-TRACK 6-7 | Modeling Dosimetric Impact of Treatment Delivery Errors in Robotic Radiosurgery: Experimental Validation and Applications M Liu1,2*, J E Cygler1,2,3, E Vandervoort1,2,3, (1) The Ottawa Hospital Cancer Centre, Ottawa, ON, Canada (2) Carleton University, Ottawa, ON, Canada (3) University of Ottawa, Ottawa, ON, Canada |
| TH-IePD-TRACK 5-6 | Dosimetric Effect of Tumor Treating Field Electrodes for Pediatric Infratentorial IMRT J Faught1*, W Myers1, E Bowers2, M Gargone1, L Zhao1, T Merchant1, C Tinkle1, (1) St. Jude Children's Research Hospital, Memphis, TN, (2) Northwestern Medicine Lake Forest Hospital, Lake Forest, IL |
| TU-A-TRACK 6-7 | Survival Prediction Models for Patients with Malignant Pleural Mesothelioma After Adjuvant Radiotherapy Z Wang1*, V Li2, X Qi3, (1) UCLA School of Medicine, Los Angeles, CA, (2) USC Dornsife College of Letters, Arts and Sciences, Los Angeles, CA, (3) UCLA School of Medicine, Los Angeles, CA |
| TU-C-TRACK 4-7 | Protons Combined with PARP Inhibition Sensitize Cancer Cells and Activate Immune Signaling More Than Photons M Ben Kacem*, S Bright, B Turner, D Flint, M Manandhar, D Martinus, C McFadden, S Shaitelman, G Sawakuchi, University of Texas MD Anderson Cancer Center, Houston, TX |
| TU-C-TRACK 6-5 | Nanoparticle-Mediated Assessment of ROS and Radiosensitization of Brain Cancer Cells for Improved Radiotherapy Outcomes C Thiegs*, K Djam, H Kramer, Y Walter, A Hubbard, A Benoit, E Yank, O Salas, M Schwengler, J Lewison, S Mckinley, A Ekpenyong, Creighton University, Omaha, NE |
| TU-C-TRACK 6-6 | Potential Anti-Kras Activity OfFlavonoid Derivative of Cannabis Is Enhanced by a Single Fraction of Low Doseof Radiation Therapy S Yasmin-Karim1*, M Moreau2, N Bih3, N Toyang4, W Ngwa5, (1) Harvard Medical School,Boston, MA, (2) Dana Farber Cancer Institute, Everett, MA, (3) Dana Farber Cancer Institute, Boston, MA, (4) Flavocure Biotech LLC, Baltimore, MD, (5) Brigham and Womens Hospital, Boston, MA |
| TU-F-TRACK 6-6 | Measuring the Clinical Impact of the Introduction of a Novel Auto-Contouring Workflow for 0.35T MRI-Guided Pelvic Radiotherapy Y Abdulkadir*, D Luximon, E Morris, P Chow, J Lamb, University of California, Los Angeles, Los Angeles, CA |
| TU-IePD-TRACK 1-1 | A Quantitative Evaluation of Computational Paediatric Phantoms for Radiotherapy Applications R Ahmad1*, C Borrelli1, J Cantwell2, P Lim2, D D'Souza2, S Moinuddin2, J Gains2, C Veiga1 (1) University College London, London, GB, (2) University College London Hospital, London, GB |
| TU-IePD-TRACK 3-1 | A Method to Select Optimal Candidates for Adaptive Radiation Therapy (ART) in Anal Cancer O Dona1*, D Horowitz1,2, M Savacool1, K Rayn1, F Li1, M Price3, C Wuu1, L Kachnic1,2, (1) Columbia University, New York, NY, (2) Herbert Irving Comprehensive Cancer Center, New York, NY, (3) Vanderbilt University Medical Center, Nashville, TN, |
| TU-IePD-TRACK 3-3 | Analysis of the Benefits of Daily Online Adaptive Radiotherapy Via Ethos for Prostate Cancer M Moazzezi*, K Moore, B Rose, X Ray, UC San Diego, La Jolla, CA |
| TU-IePD-TRACK 3-7 | CBCT-Based, Physicist-Driven Daily Adaptive Protocol for Locally Advanced Cervical Cancer: Improved Target Coverage and Reduced Margins in a 20-Minute Treatment Slot D Branco*, J Mayadev, K Moore, X Ray, UC San Diego, La Jolla, CA |
| WE-C-TRACK 6-2 | BEST IN PHYSICS (MULTI-DISCIPLINARY): Multi-Task MR (MT-MR) for Free-Breathing Simulation in Abdominal Radiotherapy Treatment Planning J Chen1,2*, P Han1,2, F Han3, Z Hu1,2, N Wang1,2, W Yang4, D Ling4, S Palmer4, A Christodoulou1,2, D Li1,2, Z Fan4, (1) Cedars-Sinai Medical Center, Los Angeles, CA, (2) University of California, Los Angeles, Los Angeles, CA, (3) Siemens Medical Solutions USA, Inc., (4) Keck School of Medicine of USC, Los Angeles, CA |
| WE-C-TRACK 6-7 | Auto-Detection of Structural Similarity Index Map From Daily MRI as An Indicator for MR-Guided Online Adaptation Replanning Abdul K Parchur, Sara Lim, Haidy Nasief, Eenas Omari, Ying Zhang, X. Allen Li*, Medeical College of Wisconsin, Milwaukee, WI |
| WE-D-TRACK 1-5 | Artificial Intelligence for Dose-Volume Histogram Based Clinical Decision-Making Support System in Radiation Therapy Plans for Brain Tumors P Siciarz*, B McCurdy, S Alfaifi, S Rathod, E Van Uytven, R Koul, CancerCare Manitoba, Winnipeg, MB, Canada |
| WE-E-TRACK 1-4 | Did the COVID-19 Pandemic Disproportionally Affect Patients Receiving Radiation Therapy at a Public Safety-Net Hospital Compared with Patients Treated at a Private Hospital in the Same Metropolitan Area? J Cui*, J Cui, W Yang, A Zhuang, O Ragab, D Hong, S Bian, E Chang, R Jennelle, Keck School of Medicine of USC, Los Angeles, CA |
| WE-IePD-TRACK 3-5 | Positron Emission Tomography (PET) Characterization for Biology-Guided Radiotherapy (BgRT) Z Hu1*, M Narayanan1, V Ferri2, A Iagaru2, N Kovalchuk3, B Han3, L Xing3, L Vitzthum3, P Olcott1, M Bieniosek1, T Laurence1, S Shirvani1, D Chang3, M Surucu3, (1) Reflexion Medical, Inc., Hayward, CA (2) Stanford University School Of Medicine, Department of Radiology, Stanford, CA, (3) Stanford University School of Medicine, Department of Radiation Oncology, Stanford, CA |
| WE-IePD-TRACK 3-6 | Longitudinal Evaluation of Plan Quality Metrics During the Course of Pancreatic Online Adaptive MRI-Guided Radiotherapy J Ginn*, O Green, D Yang, A Curcuru, S Badiyan, L Henke, H Kim, A Price, Washington University School of Medicine, St. Louis, MO |
| WE-IePD-TRACK 4-1 | Forecasting Absolute Lymphocyte Count Depletion During and After Radiation Therapy Using Deep Learning S Ebrahimi1*, G Lim2, B Hobbs3, S Lin4, R Mohan5, W Cao6, (1) University of Houston, Houston, TX, (2) University of Houston, Houston, TX, (3) The University Of Texas At Austin, Austin, TX, (4) UT MD Anderson Cancer Center, Houston, TX, (5) UT MD Anderson Cancer Center, Houston, TX, (6) UT MD Anderson Cancer Center, Houston, TX |
| WE-IePD-TRACK 6-2 | Prediction of Radiation Pneumonitis for NSCLC Using Crop Convolutional Neural Network Based Model D Kawahara1*, N Imano1, R Nishioka2, A Saito1, Y Nagata1, (1) Hiroshima University,Hiroshima, JP, (2) Medical and Dental Sciences Course, Graduate School of Biomedical & Health Sciences, Hiroshima University, Hiroshima, JP |
| WE-IePD-TRACK 6-3 | Development of Radioimmunotherapy for Brain Tumors Using In-Vitro Assays Y Walter*, A Hubbard, C Thiegs, K Djam, H Kramer, A Benoit, E Yank, O Salas, M Schwengler, S Mckinley, J Lewison, A Ekpenyong, Creighton University, Omaha, NE |