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BReP-SNAP-M-9 | A Method to Predict the Patient-Specific Dose-Volume Histogram Curves for Radiotherapy Planning with Deep Learning X Chen*, K Men, J Yi, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, 100021,China |
BReP-SNAP-T-9 | A Flexible Projection-Based Non-Convex Inverse Planning Algorithm for Intensity-Modulated Proton Therapy M Brooke1*, Y Censor2, A Gibali3, S Penfold4, R Schulte5, F Van den Heuvel1, (1) CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford, GB, (2) University of Haifa, Haifa, IL, (3) ORT Braude College, Karmiel, IL, (4) University Of Adelaide, Adelaide, AUS, (5) Loma Linda University, Loma Linda, CA |
BReP-SNAP-T-22 | Adaptive Stereotactic Abdominal Plan Quality and Fidelity Evaluation On Ethos E Laugeman*, Y Hao, Z Jiang, G Hugo, S Mutic, H Kim, L Henke, B Cai, Washington University School of Medicine, St. Louis, MO |
BReP-SNAP-T-54 | Efficient Stochastic Optimization Accounting for Uncertainty in HDR Prostate Brachytherapy Needle Placement S Gerlach1*, F Siebert2, A Schlaefer1, (1) Hamburg University of Technology, Hamburg, HH, DE, (2) University Hospital of Schleswig-Holstein, Campus Kiel, Medical Physics, Kiel, KI, DE |
MO-EF-TRACK 3-4 | ROAD: ROtational Direct Aperture Optimization with a Decoupled Ring-Collimator for FLASH Q Lyu1*, R Neph1, D O'Connor2, D Ruan1, S Boucher3, K Sheng1, (1) UCLA School of Medicine, Los Angeles, CA, (2) University of San Francisco, San Francisco, CA, (3) Radiabeam Technologies, Santa Monica, CA |
PO-GeP-M-236 | High Resolution Spectroscopic MRI and Scripting: Towards Automated Planning for a Multi-Center Clinical Trial E Schreibmann, K Ramesh*, H Shu, H Shim, Department of Radiation Oncology and Winship Cancer Institute of Emory University |
PO-GeP-P-81 | On the Effectiveness and Robustness of Varian's Photon Optimizer's Auto-Feathering Feature J Newton*, K Li, John R. Marsh Cancer Center, Hagerstown, MDAF, |
PO-GeP-T-94 | An Automated Non-Coplanar VMAT Planning Study for Dose Escalation in Recurrent Head and Neck Cancer Patients K Woods*, R Chin, K Sheng, J.V. Hegde, M Cao, UCLA School of Medicine, Los Angeles, CA |
PO-GeP-T-112 | Application of Fast Inverse Dose Optimization for Intensity Modulated Proton Therapy M MacFarlane1*, S Mossahebi1, J Chen2, N Lamichhane1, M Guerrero1, (1) University of Maryland School of Medicine, Baltimore, MD, (2) London Regional Cancer Program, London, ON, CA, |
PO-GeP-T-212 | Comparing VMAT and AP/PA Techniques for TBI: Plan Quality, Delivery Efficiency, and Lung Dose Rate B Guo*, A Magnelli, S Cherian, P Xia, Cleveland Clinic Foundation, Cleveland, OH |
PO-GeP-T-340 | Dosimetric Evaluation of a New Integrated SBRT/IMRT Treatment System D wu1*, A Eldib2, L Chen3, Q Jiang4, B Wang5, T Dos Santos6, C Ma7, (1) The People`s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, CN, (2) Fox Chase Cancer Center, Philadelphia, PA, (3) Fox Chase Cancer Center, Philadelphia, PA, (4) The First Affliated Hospital of Chongqing Medical University, Chongqing, Chongqing, CN, (5) Temple University Hospital, Philadelphia, PA, (6) AdventHealth at Gordon, Calhoun, GA, (7) Fox Chase Cancer Center, Philadelphia, PA |
PO-GeP-T-448 | Feasibility of High Dose Rate Brachytherapy Inverse Optimization of Treatment Plans for Patients with Dominant Intraprostatic Lesions Partially Covered by Pubic Arch Interference Pedro Martinez1,2*, Kevin Martell2, Elizabeth Watt2, Siraj Husain2, Tyler Meyer1,2, Kundan Thind1,2, (1) University of Calgary, Calgary, AB, CA, (2) Tom Baker Cancer Centre, Calgary, AB, CA |
PO-GeP-T-478 | Hippocampal-Sparing in Whole-Brain Radiation Therapy: A New VMAT Treatment Planning and Optimization Technique D Soultan*, M Smith, J Edds, H Saleh, H Saleh, Kansas University Medical Center, Department of Radiation Oncology, Kansas City, KS |
PO-GeP-T-506 | Implenting Dosimetric Quality Index in Lattice Radiotherapy Treatments M Banos-capilla*, J Lago-martin, J Bea-gilabert, L Ros-garcia, L Larrea-rabassa, E Lopez-munoz, P Antonini, V Gonzalez-vidal, M Berenguer, Hospital Vithas NISA Virgen del Consuelo ValenciaES, |
PO-GeP-T-555 | Jaw Tracking VMAT: A Robust Option in Delivering Whole Breast Radiotherapy with a Simultaneously-Integrated Boost (WBRT+SIB) K Guida*, J Coster, S Howard, V Radice, University of Kansas Cancer Center, Kansas City, KS |
PO-GeP-T-559 | Learning the Plausible VMAT Subspace with Deep Autoencoders N Bice1*, N Kirby1, R Li1, C Kabat1, D Nguyen2, N Papanikolaou1, M Fakhreddine1, (1) UT Health San Antonio, San Antonio, TX, (2) UT Southwestern Medical Center, Dallas, TX. |
PO-GeP-T-746 | Study On the Improved Internal Feedback System of RapidPlan Model C Ma*, Shandong Cancer Hospital and Institute,Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, ShandongCN, |
PO-GeP-T-776 | The Impact of Plan Feasibility Predictions On VMAT Treatment Planning J Rembish*, C Kabat, E Jang, M Olivares, C Payne, C Rendon, N Kirby, S Stathakis, N Papanikolaou, P Myers, UT Health San Antonio, San Antonio, TX |
TU-C-TRACK 3-4 | Multiresolution-Level Inverse Planning for Gamma Knife Radiosurgery for Vestibular Schwannoma Z Tian*, X Yang, D Giles, T Wang, E Butker, M Walb, W Curran, S Kahn, T Liu, Winship Cancer Institution, Emory University, Atlanta, GA |
TU-EF-TRACK 3-1 | BEST IN PHYSICS (THERAPY): Automated Proton Treatment Planning with Robust Optimization Using Constrained Hierarchical Optimization V Taasti1*, L Hong2, J Deasy2, M Zarepisheh2, (1) MAASTRO Clinic,Maastricht, NL, (2) Memorial Sloan-Kettering Cancer Center, New York, NY |
TU-EF-TRACK 3-11 | Optimization-Free Interactive Planning Framework L Ma*, M Chen, X Gu, W Lu, UT Southwestern Medical Center, Dallas, TX |
TU-EF-TRACK 3-15 | Human Knowledge Augmented Deep Reinforcement Learning for Intelligent Automatic Radiotherapy Treatment Planning C Shen*, L Chen, Y Gonzalez, D Nguyen, S Jiang, X Jia, The University of Texas Southwestern Medical Ctr, Dallas, TX |