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Keywords: Radiation Therapy
| MO-A-BRC-2 | Development and Maintenance of a Knowledge-Based Planning Quality Assurance Tool for a Statewide Radiation Oncology Quality Consortium C Matrosic1*, K Dess1, K Torolski1, R Marsh1, M Grubb1, D Dryden2, D Jarema1, C Fraser3, P Paximadis4, M Dominello5, J Hayman1, S Jolly1, M Matuszak1, (1) University of Michigan, Ann Arbor, MI, (2) Covenant HealthCare, Boyne City, MI, (3) Henry Ford Health System, Detroit, MI, (4) Spectrum Health Lakeland, St. Joseph, MI, (5) Wayne State University School Of Medicine, Detroit, MI |
| MO-B-206-0 | Clinical-Industry Partnerships B Cai1*, L Henke2*, T Li3*, K Brown4*, (1) University of Texas Southwestern Medical Center, Clayton, MO, (2) Washington University School of Medicine, Saint Louis, MO, (3) University of Pennsylvania, Philadelphia, PA, (4) Elekta Oncology Systems LTD, Crawley, WSX, GB |
| MO-C930-IePD-F4-2 | Design and Implementation of Fully Automated Multi-Campus Patient Plan Readiness System S Elguindi*, M Zhu, D Wang, L Santanam, A Li, Memorial Sloan Kettering Cancer Center, New York, NY |
| MO-C930-IePD-F5-1 | Patient-Specific Nuclei Size and Cell Spacing Distribution Extraction From Histopathology Whole Slide Images for Treatment Outcome Prediction Modelling Y Zou1*, M Lecavalier-barsoum2, M Pelmus3, S Abbasinejad Enger1,2,4, (1) Medical Physics Unit, Department of Oncology, Faculty of Medicine, McGill University, Montreal, QC, CA, (2) Department of Radiation Oncology, Jewish General Hospital, Montreal, QC, Canada, (3) Department of Pathology, Faculty of Medicine, McGill University, Montreal, QC, CA, (4) Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, CA |
| MO-C930-IePD-F9-3 | Automatic Organ Contouring for Head and Neck MR-Guided Online Adaptive Radiotherapy Using Neural Networks V Koteva1, D Mcquaid2, A Dunlop3, B Eiben4, E Persson5*, U Oelfke6, (1) The Institute of Cancer Research, Iver, BKM, GB, (2) Royal Marsden Hospital, ,,(3) Royal Marsden Hospital, ,,(4) The Institute Of Cancer Research, (5) Sutton, GB, (6) The Institute of Cancer Research, Sutton |
| MO-E115-IePD-F2-3 | Daily 4DMRI Assessed Motion and Its Impact On ITV for Non-Gated MRI-Guided Adaptive Radiation Therapy of Liver Cancer E Omari*, H Jassar, M Straza, E Paulson, X Chen, E Ahunbay, W Hall, X Li, Medical College of Wisconsin, Milwaukee, WI |
| MO-E115-IePD-F2-4 | Low-Dose Contrast-Enhancement MRI Using Deep Learning with Patient-Specific Image Prior for Liver Cancer Adaptive Radiotherapy Y Gao, J Deng, X Jia*, The University of Texas Southwestern Medical Ctr, Garland, TX |
| MO-E115-IePD-F4-3 | Lung SBRT VMAT QA Benchmark and Prediction Using a Random-Forest Model with Weighted Gamma Passing Rate and Histogram-Based Features C He1,2*, A Le2, (1) University at Buffalo, Buffalo, NY, (2) Roswell Park Cancer Institute, Buffalo, NY |
| MO-E115-IePD-F4-4 | Variational Clustering: Toward Unsupervised Machine Learning-Based Error Detection in Patient-Specific IMRT QA J Perez-sanchez*, B Lu, S Samant, J Li, C Liu, G Yan, University of Florida, Gainesville, FL |
| MO-E115-IePD-F9-1 | Validation of a Commercial Artificial Intelligence Auto-Segmentation System for Head and Neck Treatment Site P Tsai, S Huang*, R Press, A Shim, C Apinorasethkul, C Chen, L Hu, E Jang, H Lin, New York Proton Center, New York, NY |
| MO-F-BRC-5 | BEST IN PHYSICS (MULTI-DISCIPLINARY): Development of Quadruple On-Board Imaging to Guide Radiation Treatment in Small Animals H Wang1,2*, X Li1,2, L Xu1,2, Y Ren1,2, W Deng1, H Feng3, Z Yang4, S Ma1,5, Q Ni6, Y Kuang7, (1) Medical Imaging and Translational Medicine Laboratory, Hangzhou Cancer Center, Hangzhou, CN, (2) Department of Radiotherapy, Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou, CN, (3) Patient Follow-up Center, Hangzhou Cancer Hospital, Hangzhou, CN, (4) Department of Radiotherapy, Xiangya Hospital Central South University, Changsha, CN, (5) Medical Oncology, Xiaoshan Hospital Affiliated to Hangzhou Normal University, Hangzhou, CN, (6) Department of Radiology, Hunan Cancer Hospital, Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, CN, (7) Medical Physics Program, University of Nevada, Las Vegas, NV, USA |
| MO-FG-201-2 | Student Experiential Learning Through Patient Education: Game-Oriented Radiotherapy Simulation for Pediatric Cancer Patients J Cai1*, S Lee1, A Nicol1, V Tam1, H Law1, V Leung1, J Cai1, (1) The Hong Kong Polytechnic University, Hong Kong, CN |
| MO-FG-201-4 | An Affordable Platform for Virtual Reality-Based Patient Education in Radiation Therapy J Schulz1*, A Yu1, P Dubrowski1, E Blomain1, C Marquez1, (1) Department of Radiation Oncology, Stanford University School of Medicine |
| MO-H345-IePD-F2-1 | Integration of Attention-GAN to Predict Mid-Treatment Dual-Energy CT for Head and Neck Adaptive Radiation Therapy Y Yan1,2*, R BAYLISS1, H Emami Gohari3, M Dong3, C Glide-Hurst1,2, (1) Department of Human Oncology, University of Wisconsin-Madison, Madison, WI, (2) Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, (3) Department of Computer Science, Wayne State University, Detroit, MI |
| MO-H345-IePD-F2-5 | A Novel CT Guided Adaptive Radiotherapy Platform with An End-To-End Integrated Simulation to Treatment Solution N Wen1*, Y Liu2, J Zhou2, W Zhang2, L Wang2, C Ni2, (1) SJTU-Ruijing-UIH Institute for Medical Imaging Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine(2) Shanghai United Imaging Healthcare Co., Ltd., |
| MO-H345-IePD-F5-1 | Simultaneous Temporal and Dose Optimization for MLC Tracking: Cutting Dose Errors in Half L Mejnertsen1*, E Hewson1, J Booth2,3, P Keall1, (1) ACRF Image X Institute, University of Sydney Medical School, Sydney, NSW, Australia (2) Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, NSW, Australia (3) School of Physics, University of Sydney, Sydney, NSW, Australia |
| MO-H345-IePD-F5-2 | Investigating a Real-Time Dose Calculation to Guide Multi-Target MLC Tracking E Hewson1*, D Nguyen1,2,3, A Le3, J Booth3,4, P Keall1, L Mejnertsen1, (1) ACRF Image X Institute, University of Sydney, Sydney, NSW, AU, (2) University of Technology Sydney, Ultimo, Sydney, NSW, AU, (3) Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, NSW, AU, (4) School of Physics, University of Sydney, Sydney, NSW, AU |
| MO-H345-IePD-F6-2 | Rtdsm: An Open-Source Software for Dose-Surface Map Generation and Analysis H Patrick*, J Kildea, McGill University, Montreal, QCCA, |
| MO-I430-BReP-F3-3 | The Use of a Mini Ridge Filter with Cyclotron-Based Pencil Beam Scanning Proton Therapy F O'grady1*, M Janson2, A Rao1, A Chawla1, J Fan1, P Wang1, (1) Inova Health System, Fairfax, VA, (2) RaySearch Laboratories, Stochholm, AB, SE, |
| MO-I430-BReP-F3-4 | Robust Multi-Site Deep Learning-Based Dose Predictions for Volumetric Modulated Arc Therapy Using the MR-Linac G Tsekas*, G Bol, B Raaymakers, University Medical Center Utrecht, Utrecht, UtrechtNL, |
| MO-J-BRA-0 | Managing Implanted Devices S Lim1*, S Kry2*, C Shi3*, M Chan4*, (1) Memorial Sloan-Kettering Cancer Center, Somerset, NJ, (2) The University of Texas MD Anderson Cancer Center, Houston, TX, (3) New York Proton Center, Edgewater, NJ, (4) Memorial Sloan Kettering Cancer Center, Basking Ridge, NJ |
| MO-J-BRA-1 | Dosimetric Concerns of Post-Mastectomy Tissue Expanders During External Beam Radiation Therapy S Lim1*, S Kry2*, C Shi3*, M Chan4*, (1) Memorial Sloan-Kettering Cancer Center, Somerset, NJ, (2) The University of Texas MD Anderson Cancer Center, Houston, TX, (3) New York Proton Center, Edgewater, NJ, (4) Memorial Sloan Kettering Cancer Center, Basking Ridge, NJ |
| MO-J-BRA-2 | Clinical Management of Cardiac Implantable Electronic Device (CIED) Patients S Lim1*, S Kry2*, C Shi3*, M Chan4*, (1) Memorial Sloan-Kettering Cancer Center, Somerset, NJ, (2) The University of Texas MD Anderson Cancer Center, Houston, TX, (3) New York Proton Center, Edgewater, NJ, (4) Memorial Sloan Kettering Cancer Center, Basking Ridge, NJ |
| MO-J-BRA-3 | Clinical Practices of Managing Implantable Medical Devices for Proton Therapy S Lim1*, S Kry2*, C Shi3*, M Chan4*, (1) Memorial Sloan-Kettering Cancer Center, Somerset, NJ, (2) The University of Texas MD Anderson Cancer Center, Houston, TX, (3) New York Proton Center, Edgewater, NJ, (4) Memorial Sloan Kettering Cancer Center, Basking Ridge, NJ |
| MO-J-BRA-4 | A Review of Managing Commonly Seen Implanted Devices for Radiotherapy Patients S Lim1*, S Kry2*, C Shi3*, M Chan4*, (1) Memorial Sloan-Kettering Cancer Center, Somerset, NJ, (2) The University of Texas MD Anderson Cancer Center, Houston, TX, (3) New York Proton Center, Edgewater, NJ, (4) Memorial Sloan Kettering Cancer Center, Basking Ridge, NJ |
| MO-J-BRA-5 | Q & A S Lim1*, S Kry2*, C Shi3*, M Chan4*, (1) Memorial Sloan-Kettering Cancer Center, Somerset, NJ, (2) The University of Texas MD Anderson Cancer Center, Houston, TX, (3) New York Proton Center, Edgewater, NJ, (4) Memorial Sloan Kettering Cancer Center, Basking Ridge, NJ |
| PO-GePV-E-11 | Introductory Patient Communication Curriculum for Medical Physics Graduate Students: Multi-Institutional Experience L Padilla1*, L DeWeese2, M Kishore2, V Bry3, N Kirby3, A Rodrigues4, (1) University of California, San Diego, La Jolla, CA, (2) Oregon Health & Science University, Portland, OR, (3) UT Health San Antonio, San Antonio, TX, (4) Duke University Medical Center, Durham, NC |
| PO-GePV-I-39 | Developing a 3D Printed Phantom for Multi-Institutional Radiomic Studies and Assessment Software to Evaluate a Radiomic Software S Duong1, D Lee2, S Oh3, X Chen4, M Hwang5, H Li6, Y Cui7, M Boss8, Y Xiao9, J Sohn10*, (1) ,,,(2) Allegheny Health Network, Pittsburgh, PA, (3) Allegheny General Hospital, Wexford, PA, (4) Allegheny Health Network, Drexel University, Pittsburgh, PA, (5) Allegheny Health Network, Pittsburgh, PA, (6) Johns Hopkins Medicine, Washington, DC, (7) Duke University Medical Center, Durham, NC, (8) American College of Radiology, Malvern, PA, (9) University of Pennsylvania, Philadelphia, PA, (10) Allegheny Health Network, Pittsburgh, PA |
| PO-GePV-M-4 | Domain Knowledge Driven 3D Dose Prediction Using Moment-Based Loss Function G Jhanwar1*, N Dahiya2, P Ghahremani3, M Zarepisheh4, S Nadeem5, (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) Georgia Institute Of Technology, ,,(3) Memorial Sloan Kettering Cancer Center, ,,(4) Memorial Sloan Kettering, New York, NY, (5) Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-M-26 | Standardization Process of Nomenclature Application in Head and Neck Tumor in Multi-Center for Radiotherapy W Zheng1,2, S Huang1, L Ye1,3, X Zhang1,4, Y Duan2, X Yang1*, (1) Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong province, 510060, China, (2) Department of Radiation Oncology, Southern Theater Air Force Hospital of the People's Liberation Army, Guangzhou, Guangdong province, 510050, China, (3) Department of Radiation Oncology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, 510095, China,(4) Department of Radiation Oncology, The Fifth Affiliated Cancer Hospital of Guangzhou Medical University, 510799, China |
| PO-GePV-M-44 | Active Learning for Deep Learning Dose Prediction as a Radiotherapy QA Tool in Radiotherapy M Huet Dastarac*, A Barragan Montero, J Lee, Universite Catholique de Louvain, Brussels, BE |
| PO-GePV-M-103 | Preferred MRI Registration Techniques for Deformable Dose Accumulation in Abdomen K Kainz*, J Garcia Alvarez, H Zhong, A Tai, E Ahunbay, X Li, Medical College of Wisconsin, Milwaukee, WI |
| PO-GePV-M-105 | Potential Benefit of a Library of Plans Strategy for Pre-Operative Gastric Cancer Radiotherapy M Bleeker1*, M Hulshof1, K Goudschaal1, A Bel1, J-J Sonke1,2, A van der Horst1, (1) Department of Radiation Oncology, Amsterdam UMC - University of Amsterdam, Amsterdam, NL, (2) Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, NL |
| PO-GePV-M-115 | Correlation Between Angular Dependent Dose Projections and Field Shape Changes in Adapted VMAT Plans P Kessler*, K Kirschbaum, F Schwab, K Bratengeier, *Department of Radiation Oncology, University Hospital Wurzburg, Wurzburg, Germany |
| PO-GePV-M-118 | Variations in Rectal Volume and Dose as Estimated On Daily CBCT and the Association with Radiation Proctitis During IMRT for Prostate Cancer W Martin*, W Bodner, V Cardozo, L Goddard, J Tang, S Kalnicki, M Garg, W Tome, P Brodin, Montefiore Medical Center, Bronx, NY |
| PO-GePV-M-121 | The Dosimetric Performance of Online Adaptive Radiotherapy Based On CT-LINAC for Cervical Cancer DZ Jiang*, CX Yang*, ZJ Mei, J Gong, H Liu#, H Qiu#, XY Wang#, Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors,Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China, 430071 |
| PO-GePV-M-123 | Feasibility of Novel Low Dose Radiation Treatment of Polymetastatic Disease in Stage IV NSCLC Patients Receiving Systemic Immunotherapy to Improve Response N Nasser1,2*, B Perez2, J Penagaricano2, K Latifi2, E Moros2, J Caudell2, G Redler2, (1) University of South Florida, Tampa, FL, (2) H. Lee Moffitt Cancer Center, Tampa, FL |
| PO-GePV-M-127 | Deep Learning for MRI-Generated Synthetic CT: Dosimetric Evaluation for RT Planning in Head and Neck Cancers JT Antunes1*, D Pittock1, P Jacobs1, AS Nelson1, J Piper1, T Young2,3, S Deshpande3,4 (1) MIM Software Inc, Cleveland, OH, (2) Institute of Medical Physics, School of Physics, University of Sydney, Australia, (3) Liverpool And Macarthur Hospital, Liverpool, Australia, (4) South Western Sydney Clinical School, University of New South Wales, Sydney, Australia |
| PO-GePV-M-131 | Evaluation of a Real-Time Method for Motion-Induced Dose Error Reporting for Pancreas Stereotactic Body Radiotherapy M Gargett1,2*, A Ahmed1, A Briggs1, T Ravkilde3, S Skouboe4, P Poulsen4,5,6, G Hruby1,7, A Kneebone1,7, P Keall8, J Booth1,9, (1) Northern Sydney Cancer Centre, Royal North Shore Hospital, AU, (2) School of Health Sciences, Faculty of Medicine and Health, University of Sydney, AU, (3) Department of Medical Physics, Aarhus University Hospital, DK, (4) Danish Centre for Particle Therapy, Aarhus University Hospital, DK, (5) Department of Oncology, Aarhus University Hospital, DK, (6) Department of Clinical Medicine, Aarhus University, DK, (7) Northern Clinical School, University of Sydney, AU, (8) ACRF Image X Institute, University of Sydney, AU, (9) Institute of Medical Physics, School of Physics, University of Sydney, AU |
| PO-GePV-M-132 | Analysis of Intra-Fractional Motion in Prostate Stereotactic Body Radiation Therapy R Cattell*, A Hsia, J Kim, X Qian, S Lu, A Slade, K Mani, S Ryu, Z Xu, Stony Brook University Medical Center, Stony Brook, NY |
| PO-GePV-M-151 | Evaluation of Efficacy of Iterative Metal Artifact Reduction Algorithm with the Beam Hardening Correction in Image Quality and Radiation Therapy C Kim*, N Vassell, Y Na, Mount Sinai Health System, New York, New York |
| PO-GePV-M-188 | How Fiducial Bracketing Affects Lung Tumor Tracking W Belcher*, J Jung, A Ju, K Yang, S Sharma, East Carolina Univ, Greenville, NC |
| PO-GePV-M-202 | A Clinical and Time Savings Evaluation of a Commercial Deep Learning Automatic Contouring Algorithm J Ginn1*, H Gay2, J Hilliard2, J Shah3, N Mistry3, C Mohler3, G Hugo2, Y Hao2, (1) Duke University, Durham, NC, (2) Washington University School of Medicine, St. Louis, MO (3) Siemens Healthineers, Durham, NC |
| PO-GePV-M-227 | Evaluation of Delivered Dose Using Synthetic CT for MR-Guided and CT-Guided Radiotherapy H Wang1*, (1) UT MD Anderson Cancer Center, Houston, TX |
| PO-GePV-M-242 | MRI-Guided Adaptive Head and Neck Radiotherapy On a 1.5T MR Linac System E Aliotta, J Hesse, E Subashi, P Godoy Scripes, M Aristophanous*, J Mechalakos, L Cervino, N Tyagi, K Zakeri, N Lee, Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-M-249 | Improving Target Dose Coverage with Patient’s Comfort Arms-Down Planning in 0.35T MRgRT S Marasini1*, D Holloway2, J Park3, T Kim1, (1) Washington University in St. Louis, Saint Louis, MO, (2) Viewray (3) University of Texas Southwestern, Dallas, TX, |
| PO-GePV-M-292 | Predicting the Complexity of Head and Neck VMAT Planning Using a TPS Quality Assurance Software M Sasaki1*, Y Nakaguchi2, S Ueda3, Y Endo4, A Kajino5, D Sato6, H Ikushima7, (1) Department of Therapeutic Radiology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, JP, (2) TOYO-MEDIC Co.,Ltd, Tokyo, JP, (3)Department of Radiological Technology, Yawatahama City General Hospital, Ehime, JP, (4)Graduate School Medical Sciences, Tokushima University, Tokushima, JP, (5)Graduate School of Health Sciences, Tokushima University, Tokushima, JP, (6)Graduate School of Health Sciences, Tokushima University, Tokushima, JP, (7)Department of Therapeutic Radiology, Institute of Biomedical Sciences, Tokushima University Graduate School,Tokushima,JP |
| PO-GePV-M-311 | Characterization of Carbon Beams Interactions with Tissue Towards Adaptive Radiotherapy Applications A Bey1*, J Johnson1, J Ma1, C Beltran2, (1) Mayo Clinic, Rochester, MN, (2) Mayo Clinic, Jacksonville, FL |
| PO-GePV-M-351 | Three-Dimensional Dose-Function Data-Based Deep Convolutional Neural Network for Predicting Pulmonary Toxicity After Radiotherapy for Lung Cancer Y Fujita1*, Y Nakajima1, D Kawahara2, T Kimura3, T Yamamoto4, (1) Komazawa University, Tokyo, JP, (2) Hiroshima University, Hiroshima, JP, (3) Kochi University, Kochi, JP, (4) UC Davis School of Medicine, Sacramento, CA |
| PO-GePV-T-1 | An Evaluation of Five Commercially Available Models for Autosegmentation of Organs at Risk in Genitourinary Malignancies S Yaddanapudi1*, A Anand2, J Brooks3, M Fatyga2, R Foote3, D Hobbis2, A Jackson1, J Lucido3, J Ma3, D Moseley3, D Pafundi1, S Patel2, Y Rong2, D Routman3, B Stish3, E Tryggestad3, (1) Mayo Clinic, Jacksonville, FL, (2) Mayo Clinic, Phoenix, AZ, (3) Mayo Clinic, Rochester, MN |
| PO-GePV-T-5 | Evaluation of Initial and Online Adapted Plan Quality in Ethos for Head and Neck Patients N Nasser1,2*, G Yang2, 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-7 | Difference of Pseudo Fluences - a Novel Concept for VMAT Plan Adaption K Kirschbaum1, P Kessler1*, E Jung1, B Hahn2, K Bratengeier1, (1) Department of Radiation Oncology, University Hospital Wurzburg, Wurzburg, Germany, (2) Department of Mathematics, University of Stuttgart, Stuttgart, Germany |
| PO-GePV-T-8 | Assessment of Inter-Fractional Adaptive Planning Techniques of Spine SBRT Treatments Treated Using the Elekta Unity MRLinac and Monaco Treatment Planning System B Smith*, M Howard, J Snyder, D Dunkerley, D Hyer, J St-Aubin, University of Iowa, Iowa City, IA |
| PO-GePV-T-9 | Evaluating Accuracy of Biology-Guided Radiotherapy Using QUASAR 4D Motion Phantom G Bal1*, P Olcott1, D Zaks1, S Khan1, J Burns1, J Schmall1, L Shao1, T Laurence1, O Oderinde1, M Surucu2, M Narayanan1, G Kuduvalli1, (1) Reflexion Medical, Hayward, CA, (2) Stanford University School of Medicine, Palo Alto, CA, |
| PO-GePV-T-47 | Evaluate Atlas-Based Auto-Segmentation in MR Images for Liver Yttrium-90 Selective Internal Radiation Therapy J Li*, R Anne, Thomas Jefferson University, Philadelphia, PA |
| PO-GePV-T-83 | The Use of the IAEA Directory of RAdiotherapy Centres (DIRAC) in Scientific Literature M Carrara*, W Elisabeth, International Atomic Energy Agency Vienna AT |
| PO-GePV-T-87 | An Education Bot for Radiation Safety in Radiotherapy J Chow1*, L Sanders2, S Siddique3, L Xu4, S Ali3, R Nathanael3, K Li2, (1) Princess Margaret Cancer Centre, Toronto, ON, CA, (2) York University, Toronto, ON, CA, (3) Ryerson University, Toronto, ON, CA, (4) University of Toronto, Toronto, ON, CA |
| PO-GePV-T-98 | Simulating Clinical Protocol Accrual in the Radiotherapy Outcomes Estimator (ROE) A Iyer*, E Yorke, J Shin, A Apte, A Rimner, A Wu, M Thor, J Deasy, D Gomez, A Jackson, Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-T-103 | Assessment of the Effect of Time On the Density, Volume, and Shape of Two Custom Bolus Materials S Parker*, C Whiddon, S Kidd, L Messenger, A Towers, Wake Forest Baptist Health High Point Medical Center, High Point, NC |
| PO-GePV-T-108 | A Multi-Centre Multi-Omics Study of Critical Weight Loss Prediction in Nasopharyngeal Carcinoma Patients Undergoing Chemo-Radiotherapy J SUN1*, S Lam2, X Teng3, J Zhang4, Z Ma5, C Liu6, W Li7, H Xiao8, Y Huang9, X Han10, F Lee11, W Yip12, A Cheung13, H Lee14, K Au15, J Cai16, (1) HKU/POLYU, Tko, ,HK, (2) Duke Kunshan University, Kunshan, ,CN, (3) The Hong Kong Polytechnic University, Hong Kong, Hong Kong, HK, (4) Duke Kunshan University, Nantong, 32, CN, (5) The Hong Kong Polytechnic University, ,,(6) The Hong Kong Polytechnic University, Hong Kong, Hong Kong, (7) The Hong Kong Polytechnic University, ,,(8) The Hong Kong Polytechnic University, Hong Kong, 91, CN, (9) The Hong Kong Polytechnic University, Hung Hom, Kowloon, (10) ,,,(11) Queen Elizabeth Hospital, Hong Kong, ,HK, (12) Queen Elizabeth Hospital, Hong Kong, ,CN, (13) ,,,(14) The University Of Hong Kong, ,,(15) Hong Kong Queen Elizabeth Hospital, ,,(16) Hong Kong Polytechnic University, Hong Kong, ,CN |
| PO-GePV-T-112 | An Interpretable Machine Learning Model for Predicting Overall Survival for Malignant Mesothelioma Patients Following 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 |
| PO-GePV-T-113 | Evaluation of Radiotherapy Treatment Characteristics for Patients in the Kaiser Permanente Breast Cancer Survivors Study M Mille1*, L Veiga1, R Curtis1, S Smith2, R Howell2, C Lee1, A Berrington De Gonzalez1, (1) National Cancer Institute, Rockville, MD, (2) UT MD Anderson Cancer Center, Houston, TX |
| PO-GePV-T-117 | Tumor Control Probability for Stereotactic Body Radiotherapy of Early Stage Hepatocellular Carcinoma F Liu*, M Munley, Wake Forest University School of Medicine, Winston-salem, NC |
| PO-GePV-T-119 | Pattern of Treatment and Outcome for Esophageal Adenocarcinoma in the United States: Longitudinal Analysis of a Large Hospital Based Registry A Dey1, T Biswas2, T Podder2*, (1) University of Akron, Akron, OH, (2) University Hospitals Seidman Cancer Center, Cleveland, OH |
| PO-GePV-T-174 | Evaluation of the Utility of Rescans in the Treatment of Prostate and Pelvic Nodes with Pencil Beam Scanning Protons S Laub*, S Schmidt, L Campbell, B Hartsell, Northwestern Medicine Proton Center, Warrenville, IL |
| PO-GePV-T-189 | Developing a Compact Proton Dielectric Wall Accelerator: Characterizing Pulse Delivery and Electromagnetic Dispersion in Annular Parallel-Plate Waveguides M Maher1*, C Lund1, J Bancheri1, J Seuntjens2, (1) Medical Physics Unit, McGill University, Montreal, QC, CA, (2) University Health Network, Toronto, ON |
| PO-GePV-T-199 | Development of the Prediction Model of Multi-Leaf Collimator Position Errors Using the Characteristics of Error-Related Patterns in Non-Heterogeneous Conditions H Sheen1*, H Shin2, H Kim3, C Kim4, J Kim5, J Kim6, C Hong7, (1) Heesoon Sheen1,*, Han-Back Shin2,*, Hojae Kim3, Changhwan Kim2, Jihun Kim2, Jin Sung Kim2, Chae-Seon Hong2,a) Author Institutions: 1Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University 2Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea 3Department of Radiation Oncology, Yonsei Cancer Center, Seoul, South Korea |
| PO-GePV-T-212 | Radiation Dose Tolerance Assessment of the Zio Heart Monitor S Klash1*, L Brennan2, J Graham3, (1) VAPHS, Pittsburgh, PA, (2) VAPHS, Pittsburgh, PA, (3) VAPHS, Pittsburgh, PA |
| PO-GePV-T-213 | Black Swans in Radiation Therapy K Maloney*, L Myers, Versant Medical Physics and Radiation Safety |
| PO-GePV-T-228 | Validating TG119 VMAT Commissioning On a Volumetric Phantom J Delgado, D Brito, D Garcia, S Serrano-Aguirre, Y Rodriguez-Gago, J Delgado*, Sociedad de Lucha contra el Cancer SOLCA - Matriz Guayaquil, Guayaquil, GuayasEC, |
| PO-GePV-T-235 | A Synthesized Gamma Map-Based Patient-Specific VMAT QA Using a Generative Adversarial Network T Matsuura1,2*, D Kawahara2, A Saito3, K Yamada1, S Ozawa1,2, Y Nagata1,2, (1) Hiroshima High-Precision Radiotherapy Cancer Center, Hiroshima, JP, (2) Hiroshima University, Hiroshima, JP, (3) Hiroshima University Hospital, Hiroshima, JP |
| PO-GePV-T-245 | Dependence of Log File Based IMRT QA of Lung SBRT Plans On TPS Dose Algorithm G Baltz*, R Manigold, S Kirsner, Scripps M.D. Anderson Cancer Center, San Diego, CA |
| PO-GePV-T-284 | Skin Dose Evaluation From Three Different IMRT Planning Technique On Beast Cancer Radiotherapy R He*, J Martinez, C Yang, University of Mississippi Medical Center, Jackson, MS |
| PO-GePV-T-290 | Stereotactic Body Radiotherapy On a Ring-Gantry Based Linac with Novel Image Guiding System (Reflexion): Plan Quality Comparison with TrueBeam and Tomotherapy B Liu1*, C Han1, T Reilly1, Y Dorsainvil1, K Qing1, Y Chen1, T Williams1, A Liu1, (1) City of Hope National Medical Center, Duarte, CA |
| PO-GePV-T-304 | Determination of Optimal Indicators for Anatomy-Based Automated Beam Setup in Breast Cancer E Costa1, A Gobert1, D Dagot1, Y Jiang1, J Vu-Bezin1*, (1) Institut Curie, Paris,FR |
| PO-GePV-T-313 | Limited Dataset Transfer Learning for Deep Learning Dose Prediction On Head and Neck Cancer Patients Treated with Involved Nodal Radiation Therapy Using Artificial Intelligence-Based Radiomics (INRT-AIR) H Wang*, M Lin, D Sher, S Jiang, D Nguyen, UT Southwestern Medical Center, Dallas, TX |
| PO-GePV-T-314 | Development and Validation of Knowledge Based Planning Model for Prostate Node Positive Stereotactic Body Radiation Therapy R Phurailatpam1*, D Patil2, V Raveendran3, K Joshi4, J Pk5, P Maitre6, V Murthy7, (1) Actrec, Tata Memorial Centre, Maharastra, ,IN, (2) ACTREC, Ratnagiri, ,IN, (3) Advanced Center for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Center, Navi Mumbai, MH, IN, (4) TATA MEMORIAL CENTRE, ACTREC, NAVI MUMBAI, Navi Mumbai, ,IN, (5) Actrec,tmc, ,,(6) Actrec,tmc, ,,(7) Actrec,tmc, |
| PO-GePV-T-326 | Institutional 18 MV Reference Beam Data for Varian TrueBeam Linacs S Bhagroo*, K Hopfensperger, R Price, J Kunz, F Su, G Nelson, A Paxton, University of Utah, Salt Lake City, UT |
| PO-GePV-T-329 | A Critical Analysis of Adaptive Therapy Guidelines for Patient Safety, Treatment Quality and System Safety Tests J Hindmarsh1*, S Dieterich2, J Booth3, P Keall1, (1) ACRF Image X Institute, Faculty of Medicine and Health, University of Sydney, Eveleigh, NSW, AU, (2) Department of Radiation Oncology, UC Davis Medical Center, Sacramento, CA, (3) Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, AU |
| PO-GePV-T-339 | Development of Supplemental Pre-Treatment Daily Quality Assurance On the Radixact Real-Time Tumor Tracking System R Teboh Forbang*, B Lewis, A Ndlovu, Hackensack University Medical Center, Hackensack, NJ |
| PO-GePV-T-359 | A Simple Rule of Thumb to Decide Between Head-First Supine (HFS) Or Feet-First Supine (FFS) for Certain Patients Undergoing Radiotherapy H Kadji1*, B Lewis1,2, T Besso1, J Volpe1, R Teboh Forbang1,2, (1) Hackensack Meridian Health At Mountainside Medical Center, (2) Hackensack University Medical Center, Hackensack, NJ |
| PO-GePV-T-397 | Standardized Open-Source Volume Calculations for Small Voxelized Volumes R Cardan1*, R Popple2, (1) UAB University of Alabama, Birmingham, Birmingham, AL, (2) University of Alabama Birmingham, Birmingham, AL |
| PO-GePV-T-412 | Lowering Modulation Factor in Lung SBRT Plans While Observing RTOG Constraints A Boria1*, G Narayanasamy1, M Bimali2, D Desai3, F Kalantari1, P Sabouri1, Z Su1, (1) University of Arkansas for Medical Sciences, Little Rock, AR, (2) Nexus Institute for Research and Innovation, Lalitpur, Nepal, (3) Memorial Hospital, Chattanooga, TN. |
| PO-GePV-T-419 | A Deep Learning Dose Calculation Model for CyberKnife Circular Beams H Li1, F Zhou1,2, B Liu1,2*, S Xu3, Q Wu4, (1) Image Processing Center, Beihang University, Beijing, CN (2) Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, CN (3) National Cancer Center/Cancer Hospital- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, BJ, CN, (4) Duke University Medical Center, Durham, NC |
| PO-GePV-T-426 | Adaptive Workflow for Prostate, Seminal Vesicle, and Nodal Volume SBRT On a CBCT Adaptive AI Driven System E Laugeman*, A Price, L Henke, B Baumann, Washington University School of Medicine in St. Louis, St. Louis, MO |
| PO-GePV-T-427 | Institutional Review On Evaluating 6-Degree of Freedom Treatment Couches for Disease-Specific SBRT K Lyons, D Spratt, V Colussi, R Kashani*, C Langmack, Seidman Cancer Center /UH Cleveland & CWRU, OH, Cleveland, OH |
| PO-GePV-T-436 | Cell Morphometry for Advancing Nanoparticle-Mediated Radiotherapy Against Glioblastoma E Jank*, O Salas, A Benoit, Y Walter, A Hubbard, A Ekpenyong, Creighton University, Omaha, NE, USA. |
| PO-GePV-T-447 | Computational Modelling of Impedance Based Cell Migration for Improved Chemotherapy and Radiotherapy M Schwengler*, B Ibironke, K Lemke, A Walther, A Ekpenyong, Creighton University, Omaha, NE |
| SU-E-BRB-1 | Adaptation of Dose Prediction DenseNet for Prostate Cancer Patients Treated with Different Beam Modes Using Transfer Learning J Fu1*, Z Wang2, J Lewis3, X Qi2, (1) Stanford Radiation Oncology, Stanford, CA, (2) UCLA School of Medicine, Los Angeles, CA (3) Cedars-Sinai Medical Center, Pacific Palisades, CA |
| SU-E-BRB-4 | Clinical Commissioning and Implementation of An In-House Artificial Intelligence (AI) Tool for Automated Head and Neck Intensity Modulated Radiation Therapy (IMRT) Treatment Planning X Li1*, Y Sheng1, QJ Wu1, Y Ge2, C Wang1, D Brizel1, Y Mowery1, J Lee1, W Wang1, H Stephens1, D Yang1, F Yin1, Q Wu1, (1) Duke University Medical Center, Durham, NC, (2) University of North Carolina at Charlotte, Charlotte, NC |
| SU-E-BRC-4 | GPU-Based Monte Carlo Treatment Planning System for Electron FLASH Radiotherapy B Zhou1*, W Lu2, Y Lai3, M Rahman4, R Zhang4,5, X Jia2,3, K Wang1,2, (1) Biomedical Imaging and Radiation Technology (BIRT) Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, (2) Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, (3) Innovative Technology Of Radiotherapy Computations and Hardware (iTORCH) Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, (4) Thayer School of Engineering, Dartmouth College, Hanover, NH, (5) Department of Medicine, Radiation Oncology, Geisel School of Medicine, Dartmouth College, Hanover, NH, |
| SU-F-201-3 | Leveraging the Elliptical Shape of the Uterocervix On Semi-Axial Cross-Sections for Improved Deep-Learning Segmentation On Cone-Beam CT S Mason1*, L Wang2, K Zormpas-Petridis2, M Blackledge2, S Lalondrelle1, H Mcnair1, E Harris2, (1) Royal Marsden NHS Foundation Trust, Sutton, SRY, GB, (2) Institute Of Cancer Research |
| SU-F-206-3 | Changes of Magnetic Resonance Radiomics in Response to Radium-223 Dichloride in Combination with Androgen Deprivation Therapy (ADT) and Stereotactic Body Radiation Therapy (SBRT) for Patients with Oligometastatic Castration Sensitive Prostate Cancer K Qing1*, T Ketcherside1, A Liu1, B Liu1, C Han1, W Watkins1, X Feng2,3, L Zhao4, Q Chen1, J Liu1, S Dandapani1, (1) City of Hope National Medical Center, Duarte, CA, (2) University of Virginia, Charlottesville, VA, (3) Carina Medical LLC, Lexington, KY, (4) Zhejiang University, Hangzhou, China |
| SU-F-207-1 | A Multi-Parametric Quantitative MR Protocol for Pre-Operative Radiotherapy Response Assessment in Soft-Tissue Sarcomas I Thrussell1,2*, J Winfield1,2, C Messiou1,3, S Usman2, J Newman2, R Simoes1,4, G Hopkinson2, S Zaidi1,4, A Miah1,4, M BLACKLEDGE1,2, (1) Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK, (2) MRI, The Royal Marsden NHS Foundation Trust, London, UK,(3) Department of Radiology, The Royal Marsden NHS Foundation Trust, London, UK,(4) Sarcoma Unit, The Royal Marsden NHS Foundation Trust, London, UK |
| SU-F-BRB-6 | Is Public Data Enough? A Comparison of Public and Institutional Deep Learning Models for Segmentation of 17 Organs-At-Risk in the Head and Neck Brett Clark1,2, Nicholas Hardcastle2,3,4, Price Jackson2,4, Leigh Johnston1, James C Korte1,2, (1) Department of Biomedical Engineering, University of Melbourne, Melbourne, Australia (2) Department of Physical Science, Peter MacCallum Cancer Centre, Melbourne, Australia (3) Centre for Medical Radiation Physics, University of Wollongong, Wollongong, Australia (4) Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne |
| SU-F-BRC-2 | Using a Residual Neural Network to Predict Radiation-Induced Pulmonary Function Damage E Wallat1*, M Flakus1, A Wuschner1, J Reinhardt2, G Christensen2, J Bayouth1, (1) University of Wisconsin, Madison, WI, (2) University of Iowa, Iowa City, IA |
| SU-H330-IePD-F5-6 | Deep Learning-Based Metal Artifact Reduction for Planning CT in Radiation Therapy for Head and Neck Cancer J Lee1, J Lee2, S Jung3*, (1) Department of Nuclear Engineering, Ulsan National Institute of Science and Technology, Ulsan, Ulsan, KR, (2) Department of Computer Engineering, Ulsan National Institute of Science and Technology, KR, (3) Department of Radiation Oncology, Seoul National University Hospital, Seoul, KR |
| SU-H400-IePD-F8-2 | Feasibility of Predicting Deliverable Daily Plans Using Deep Learning for MR-Guided Adaptive Radiation Therapy S Hamdan1*, H Nasief1, L Buchanan2, Y Zhang1, E Omari1, X Li1, (1) Medical College of Wisconsin, Milwaukee, WI, (2) Brown University, Providence, RI |
| SU-H430-IePD-F7-3 | Do Machine Learning-Based Models Perform Better Than Clinical Models in Predicting Biochemical Outcome for Prostate Cancer Patients? L Sun1,2*, H Quon1,2, W Smith1,2, and C Kirkby1,3 (1) University of Calgary, Calgary, AB, CA (2) Tom Baker Cancer Centre, Calgary, AB, CA (3) Jack Ady Cancer Centre, Lethbridge, AB, CA |
| SU-I400-BReP-F3-3 | An Independent Dose Calculation Method for MR-Guided Radiotherapy with Elekta Unity MR-Linac X Chen*, M Hwang, S Oh, J Sohn, Allegheny Health Network, Pittsburgh, PA |
| SU-J-202-5 | XIOSIS: Novel Deep Learning Method for Image-Guided Spacer Placement in Spacer-Enabled Pancreatic Cancer Radiotherapy H Hooshangnejad 1,3*, J Lee 2,3, K Ding2,3, (1) Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA, (2) Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA, (3) Carnegie Center of Surgical Innovation, Johns Hopkins School of Medicine, Baltimore, MD, USA |
| SU-J-202-6 | Machine-Learning Modeling of Patient-Reported Swallowing Dysfunction Using Dose to the Epiglottis and Pharyngeal Constrictors MD Pepin*, S Anaya, RL Foote, YI Garces, H Emily, DW Mundy, MA Neben-wittich, DM Routman, S Catherine, SC Lester, DJ Ma, S Shiraishi, Mayo Clinic Rochester, Rochester, MN |
| SU-J-BRA-0 | The Need for Robust Dosimetry of Flash Beams M McEwen1*, A Subiel2*, A Mascia3*, (1) National Research Council, Ottawa, ON, CA, (2) National Physical Laboratory, Teddington, GB, (3) University of Cincinnati Medical Center, Cincinnati, OH |
| SU-J-BRC-5 | Fully Convolutional Neural Network Model to Predict 3D Dose for Breast Radiotherapy F Nematollahi*, K Moore, L Moore, K Kisling, UC San Diego, La Jolla, CA |
| SU-K-202-1 | Application of Magnetic-Induced Hyperthermia Into Radiation Therapy and Efficacy of Combined Modalities On Prostate Cancer Cells D Heo1*, B Lokeshwar2, J Barrett1, C Huh1, (1) Department of Radiation Oncology, Georgia Cancer Center, Augusta University, Augusta, GA, (2) Cancer Biology Graduate Program, Georgia Cancer center, Augusta University, Augusta, GA |
| SU-K-BRC-6 | High-Resolution Ultrashort Echo Time (UTE) 4D MRI with Camera-Based Respiratory Motion Sensing for Lung Cancer Radiotherapy Treatment Planning and Monitoring C Wu1*, G Krishnamoorthy2, V Yu3, E Subashi4, A Rimner5, R Otazo6, (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) Philips Healthcare, MR R&D, Rochester, MN, (3) Memorial Sloan Kettering Cancer Center, New York, NY, (4) Memorial Sloan Kettering Cancer Center, New York, NY, (5) Memorial Sloan-Kettering Cancer Center, New York, NY, (6) Memorial Sloan Kettering Cancer Center, New York, NY |
| TH-A-206-3 | BEST IN PHYSICS (MULTI-DISCIPLINARY): Feasibility of Biology-Guided Radiation Therapy Using a Long-Lived Antibody PET Tracer A Natarajan1*, S Khan1, D Anders1, N Malik1, H Nguyen1, O Oderinde2, F Chin1, E Rosenthal1, G Pratx1, (1) Stanford University School of Medicine, Palo Alto, CA, (2) RefleXion Medical, Hayward, CA |
| TH-A-206-4 | Quantifying Robustness of CT-Ventilation Biomarkers to Image Noise M Flakus1*, A Wuschner2, E Wallat3, J Meudt4, D Shanmuganayagam5, G Christensen6, J Reinhardt7, J Bayouth8, (1) University of Wisconsin, Madison, WI, (2) University of Wisconsin, Madison, WI, (3) University of Wisconsin, Madison, WI, (4) ,Madison, WI, (5) ,Madison, WI, (6) University of Iowa, Iowa City, IA, (7) University of Iowa, Iowa City, IA, (8) University of Wisconsin-Madison, Madison, WI |
| TH-B-206-1 | A Novel Process for Clinical Commissioning of An Online Adaptive Radiotherapy Platform: Results and Recommendations K Kisling*, T Keiper, D Branco, G Kim, K Moore, X Ray, UC San Diego, La Jolla, CA |
| TH-B-206-3 | Integrated Multi-Task MR for Abdominal Radiation Therapy: Towards Adaptive Planning and Treatment Monitoring J Chen1,2*, P Han2,3, Y Tian1, W Yang1, Y Yang2, D Li3, A Christodoulou3, K Nayak1, Z Fan1, (1) University of Southern California, Los Angeles, CA, (2) UCLA, Los Angeles, CA, (3) Cedars-sinai Medical Center, Los Angeles, CA, |
| TH-CD-BRA-0 | State of the Art of Adaptive Radiotherapy R Mak1*, R Kashani2*, K Mittauer3*, B Han4*, (1) Brigham and Women's Hospital, Boston, MA, (2) Seidman Cancer Center /UH Cleveland & CWRU, OH, Cleveland, OH, (3) Miami Cancer Institute, Miami, FL, (4) Stanford University School of Medicine, Stanford, CA |
| TH-D-202-6 | Investigating Immune Response Induced in Breast Cancer Cells Across Varying Radiation Type, PARPi Concentration, and BRCA Status E Moran*, M Ben Kacem, D Flint, D Martinus, S Bright, M Manandhar, S Shaitelman, G Sawakuchi, MD Anderson Cancer Center, Houston, TX |
| TH-D-BRC-5 | Normal Tissue Complication Modeling for Radiation-Induced Lymphopenia After Abdominal Radiotherapy S Kim1*, H Byun2, W Sung1, ((1) Department of Biomedical Engineering and Biomedicine & Health Science, College of Medicine, The Catholic University of Korea, Seoul, KR (2) Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, KR |
| TH-D-BRC-6 | Outcome Prediction for Metastatic Lung Cancer Patients After Radiotherapy and Immunotherapy Using Patient, Tumor, Treatment, and Immunologic Factors Y KIM1*, I Chamseddine2, C Grassberger2, Y Cho3, W Sung1, (1) Department of Biomedical Engineering and Department of Biomedicine & Health Science, College of Medicine, The Catholic University of Korea, Seoul, South Korea (2) Department of Radiation Oncology, Massachusetts General Hospital/Harvard Medical School, United States (3) Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea |
| TU-D1000-IePD-F3-4 | Lung SBRT: Quality Management for Improved Outcomes I Iftimia, A Mckee, A Nixon, H Hsu, P Halvorsen*, Beth Israel - Lahey Health/TUSM, Burlington, MA |
| TU-D1000-IePD-F4-4 | SBRT Lung Treatment Planning Methods to Lower the Modulation Factor A Boria1*, G Narayanasamy1, D Desai2, F Kalantari1, P Sabouri1, Z Su1, (1) University of Arkansas for Medical Sciences, Little Rock, AR, (2) Memorial Hospital, Chattanooga, TN. |
| TU-D1000-IePD-F4-6 | Evaluating Plan Quality for Multitarget Brain Tumors: Single Iso Multi Target Vs Single Iso Single Target Plans J Byrne*, E Salari, E Parsai, University of Toledo Medical Center, Toledo, OH |
| TU-D1000-IePD-F7-2 | Develop a Treatment Plan That Would Result in Highly Localized IFNβ production in Well-Oxygenated Tumor Cells A Almalki1*, D Miles2, R Stewart3, K Stantz4, (1) Purdue University, West Lafayette, IN, (2) Johns Hopkins University School of Medicine, Baltimore, MD, (3) University of Washington, Seattle, WA, (4) Purdue University, West Lafayette, IN |
| TU-D1030-IePD-F3-3 | Deliver Proton FLASH Beams with a Saturated Monitor Chamber for Pre-Clinical Studies H Lin1*, Y Yang2, G Yu3, M Kang4, S Wei5, S Huang6, Q Chen7, h Zhai8, C Chen9, M Folkerts10, C Shi11, (1) New York Proton Center, New York, NY, (2) New York Proton Center, New York, NY, (3) New York Proton Center, New York, NY, (4) New York Proton Center, New York, NY, (5) New York Proton Center, New York, NY, (6) New York Proton Center, New York, NY, (7) New York Proton Center, New York, NY, (8) New York Proton Center, New York, NY, (9) New York Proton Center, New York, NY, (10) Varian Medical Systems, Palo Alto, CA, (11) New York Proton Center, New York, NY |
| TU-D1030-IePD-F4-1 | Radiosensitizationeffect and Therapeutic Benefits of Small Sized Gold Nanoparticles S Yasmin-Karim1Brigham and Women's Hospital, U Ibeh2, M Moreau3*, N Bih4, U Ngwa5, B Ziberi6, R Kumar7, G Makrigiorgos8, W Ngwa9, (1) Brigham and Women's Hospital, Boston, MA, (2) University of Massachusetts Boston, Boston, MA, (3) Johns Hopkins University, Columbia, MD, (4) Johns Hopkins University, Boston, MA, (5) Libertas Scholars Inc, ,,(6) University of Tetova, Tetova, Republic of North Macedonia, Boston, MA, (7) West Pharmaceutical Services, Inc., ,,(8) Dana Farber Cancer Institute, Boston, MA, (9) Johns Hopkins University, Boston, MA |
| TU-D930-IePD-F6-6 | Evolution of Work-From-Home Preferences in Radiation Therapy Physics and Dosimetry From 2020 to 2022 A Riegel1,2*, J Antone1, Y Cao1,2, (1) Department of Radiation Medicine, Northwell Health Cancer Institute, Lake Success, NY, (2) Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549 |
| TU-F115-IePD-F5-3 | Feasibility of Combining Transmission Beams and Spread-Out Single-Energy Bragg Peaks for Proton FLASH Radiotherapy C Ma, X Yang, R Liu, L Lin, D Bohannon, T Liu, J Bradley, J Zhou*, Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322 |
| TU-F115-IePD-F7-2 | Characterization of An Independent 3D Dose and MU Verification Software for Lung SBRT Treatments G Baltz*, R Manigold, S Kirsner, Scripps M.D. Anderson Cancer Center, San Diego, CA |
| TU-G-BRA-3 | A Simulation of the Effect of Respiration-Induced Motion On the Delivered Dose Distribution in LATTICE Radiation Therapy AL Van Slyke*, M Mashayekhi, JK Molitoris, WF Regine, B Yi, B Zhang, S Chen, University of Maryland School of Medicine, Baltimore, MD |
| TU-I345-IePD-F2-3 | Using Deep Neural Network for Beam Angle Selection in 4π IMRT Planning of Patients with Lung Cancer A Sadeghnejad Barkousaraie*, M Lin, S Jiang, D Nguyen, The University of Texas Southwestern Medical Center, Dallas, TX |
| TU-I345-IePD-F2-5 | Input Feature Design and Their Impact On the Artificial Intelligence Planning Agent’s Performance X Li1*, Y Ge2, Q Wu1, C Wang1, Y Sheng1, W Wang1, H Stephens1, F Yin1, QJ Wu1, (1) Duke University Medical Center, Durham, NC, (2) University of North Carolina at Charlotte, Charlotte, NC |
| TU-J430-BReP-F2-1 | Incrementally Re-Trained AI-Models for Organ and Target Auto-Segmentation for Post-Prostatectomy Patients D Hobbis1*, K Mund1, Q Chen2, X Feng3,4, N Yu1, C Vargas1, S Schild1, J Rwigema1, S Keole1, W Wong1, Y Rong1, (1) Mayo Clinic, Phoenix, AZ, (2) University of Kentucky, Lexington, KY, (3) University of Virginia, Charlottesville, VA, (4) Carina Medical LLC, Lexington, KY |
| TU-J430-BReP-F3-4 | Motion Effects in Cardiac Ablation Radiotherapy J Marcel1, R Trevillian1*, N Yegya-raman1, L Yin1, Z Zhang1, H Chen1, S Feigenberg1, L Dong1, J Arkles2, B Teo1, K Cengel1, W Zou1, (1) University of Pennsylvania, Department of Radiation Oncology, Philadelphia, PA, (2) University of Pennsylvania, Department of Cardiology, Philadelphia, PA |
| WE-B-201-2 | Development and Validation of a Radiomics Model to Predict Pathological Complete Response to Neoadjuvant Chemoradiation (nCRT) in Locally Advanced Rectal Cancer: A Perspective Observational Study Y Zhang1*, S Hu1, L Shi2, X Sun2, N Yue1, K Nie1, (1) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (2) Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang Univ., Hangzhou, ,CN |
| WE-B-BRC-2 | A Computational Multiscale Framework for Precision Dosimetry in Radiation Therapy P Inman*, J Houri, J Gounley, G Agasthya, A Kapadia, Oak Ridge National Laboratory, Oak Ridge, TN |
| WE-B-BRC-3 | Feasibility of Image- and Emission-Guided Radiation Therapy Within a Small Animal Radiation Irradiator Integrated with Quad-Modal On-Board Imaging X Li1,2*, H Wang1,2, L Xu1,2, Y Ren1,2, W Deng1, H Feng3, Z Yang4, S Ma1,5, Q Ni6, Y Kuang7, (1) Medical Imaging and Translational Medicine Laboratory, Hangzhou Cancer Center, Hangzhou, CN, (2) Department of Radiotherapy, Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou, CN, (3) Patient Follow-up Center, Hangzhou Cancer Hospital, Hangzhou, CN, (4) Department of Radiotherapy, Xiangya Hospital Central South University, Changsha, CN, (5) Medical Oncology, Xiaoshan Hospital Affiliated to Hangzhou Normal University, Hangzhou, CN, (6) Department of Radiology, Hunan Cancer Hospital, Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, CN, (7) Medical Physics Program, University of Nevada, Las Vegas, NV, USA |
| WE-B-BRC-5 | Second-Generation Bismuth Gadolinium Theranostic Nanoparticles for MR Guidance and Radiation Dose Amplification N Brown1, 2*, P Rocchi3,4, L Carmes3,4, R Guthier2, M Iyer1,2, T Morris2,5, S Bennett2, M Lavelle2,5, T Doussineau3, C Williams2, E Huynh2, Z Han2, E Kaza2, G Bort3,4, F Lux3,4, O Tillement3,4,6, R Berbeco2, (1) Northeastern University, Department of Physics Boston, MA, (2) Brigham and Women's Hospital, Dana-Farber Cancer Institute, and Harvard Medical School, Department of Radiation Oncology, Boston, MA,(3) NHTherAguix, Lyon, France, (4) Universite Claude Bernard, Lyon, France, (5) University of Massachusetts Lowell, Department of Physics and Applied Physics, Lowell, MA, (6) Institut Lumie`re-Matie`re, UMR 5306, Universite Lyon1-CNRS, Universite de Lyon, Villeurbanne Cedex, France |
| WE-C1000-IePD-F7-2 | Hypofractionated Radiotherapy Regimens for Early Stage Non-Small Cell Lung Cancer F Liu*, M Munley, Wake Forest University School of Medicine, Winston-salem, NC |
| WE-C1030-IePD-F3-5 | Comparing the Analytic Anisotropic Algorithm Vs. Acuros XB for Dose Calculation in the Setting of Radioablation of Ventricular Tachycardia M Prusator1*, W Tucker2, T Mazur3, G Hugo4, C Robinson5, P Cuculich6, N Knutson7, (1) ,St. Louis, MO, (2) Washington University School of Medicine, Chesterfield, MO, (3) ,St. Louis, MO, (4) Washington University School of Medicine, St. Louis, MO, (5) ,Saint Louis, MO, (6) Washington University in St Louis, Saint Louis, MO, (7) Washington University School of Medicine, St. Louis, MO |
| WE-C930-IePD-F2-4 | Adaptive Predictions of Confidence Regions During Indirect Lung Tumor Tracking C Remy*1,2, H Bouchard1,2,3, (1) Université de Montréal, Département de Physique, Montréal, QC, CA, (2) Centre de recherche du Centre hospitalier de l'Université de Montréal, Montréal, QC, CA, (3) Département de radio-oncologie, Centre hospitalier de l'Université de Montréal, Montréal, QC, CA. |
| WE-C930-IePD-F5-4 | Deep Learning Improves Image Quality and Radiomics Reproducibility for High-Speed Four-Dimensional Computed Tomography Reconstruction B Yang*, X Chen, S Yuan, Y Liu, K Men, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing,China |
| WE-C930-IePD-F7-6 | Towards Accessible Proton Radiotherapy: Beam Optics Design for a Compact Medical Proton Accelerator CM Lund1*, PM Jung2, MJ Maher1, J Bancheri1, T Planche2, R Baartman2, J Seuntjens3, (1) McGill University, Montreal, QC, CA, (2) TRIUMF, Vancouver, BC, CA, (3) University Health Network, Toronto, ON, CA |
| WE-E-BRA-1 | Advancing Radioimmunotherapy For Brain Tumors Using In Vitro Assays Y Walter*, O Salas, A Benoit, D Jordan, E Jank, A Hubbard, A Ekpenyong, Creighton University, Omaha, NE |
| WE-E-BRA-2 | Analysis of a Novel Concept for Intraocular Tumors - the Combination of Brachytherapy and Teletherapy H Manke1*, D Fluehs2, M Stroth1, S Mueller1, B Spaan1, J Albrecht1, (1) TU Dortmund University, Dortmund, DE, (2) University Hospital Essen, Essen, DE |
| WE-F-206-2 | FLASH Irradiation of Drosophila Melanogaster Using Low Energy X-Rays A Hart*, J Dudzic, J Eby, S Perlman, M Bazalova-Carter, University of Victoria, Victoria, BCCA, |