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Keywords: treatment planning
| 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-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-F4-4 | Automated Clinical-Criteria-Driven Optimal Planning: Clinical Experience with 5000 Patients Q Huang, G Jhanwar*, J Yang, H Pham, L Cervino, J Deasy, M Zarepisheh, L Hong, Memorial Sloan Kettering Cancer Center, New York, NY |
| 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-F4-6 | Treatment Plan Complexity Quantification for Predicting Patient-Specific Quality Assurance of Stereotactic Volumetric Modulated Arc Therapy X Xudong1, Y Ding2, W Wei3, C Ma4, X Wang5*, (1) Hubei Cancer Hospital, Wuhan, ,CN, (2) Hubei Cancer Hospital, Wuhan, ,CN, (3) Hubei Cancer Hospital, Wuhan, CN, (4) Rutgers University, New Brunswick, NJ, (5) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ |
| MO-H345-IePD-F4-3 | ArcPT Plan Optimization: Thinking Out of the Box with Mixed-Integer Programming S Wuyckens1*, M Saint-guillain2, G Janssens3, E Sterpin1,4, J Lee1, K Souris1, (1) UCLouvain / MIRO, Woluwe-saint-lambert, BE, (2) UCLouvain / ICTEAM, Louvain-La-Neuve, BE, (3) Ion Beam Applications SA, Louvain-la-neuve, BE, (4) KULeuven / Department of Oncology, Leuven, BE |
| MO-H345-IePD-F4-6 | A Nearly-Exact Beam Angle Optimization Algorithm Via Angle Generation Method H Shen1,2, G Zhang2, Y Lin1, R Chen1, Y Long2, H Gao1*, (1) University of Kansas Medical Center, Kansas City, KS (2) Shanghai Jiao Tong University, Shanghai, China |
| MO-H345-IePD-F7-3 | A Comparison of In-House and Shared Knowledge-Based Planning (KBP) Models for Bilateral Head and Neck Treatment Planning O Trejo*, H Li, K Guida, The University of Kansas Cancer Center, Kansas City, KS |
| MO-H345-IePD-F7-4 | Plan Quality Evaluation of Automated Non-Coplanar VMAT for Head and Neck Cancer Radiation Therapy L Smith1*, Q Lyu1, K Woods2, Y Gao1, E Morris1, T Ma1, K Sheng1, S Tenn1, A Kishan1, J Hegde1, M Steinberg1, R Chin1, M Cao1, (1) UCLA Health, Los Angeles, CA, (2) Keck School of Medicine of USC, Los Angeles, CA |
| MO-H345-IePD-F7-5 | The Impact of Advanced ESAPI-Based Automated Total Body Irradiation Treatment Planning On Plan Standardization R Frederick1,2*, L Van Dyke2, J Lovis2, A Hudson1,2, G Pierce1,2, (1) University of Calgary, Calgary, AB, CA, (2) Tom Baker Cancer Centre, Calgary, AB, CA |
| MO-H345-IePD-F7-6 | Development and Implementation of An Automated Planning Algorithm for Multi-Metastatic Stereotactic Radiosurgery Using Eclipse Scripting T Mann1,2*, N Ploquin1,2, K Thind1,3, (1) University of Calgary, Calgary, Alberta, CA, (2) Tom Baker Cancer Centre, Calgary, AB, CA, (3) Henry Ford Health Systems, Detroit, Michigan |
| PO-GePV-M-5 | Geometric and Dosimetric Evaluation of An Atlas - Based Autosegmentation Software On Organs-At-Risk (OARs) for Tomotherapy Planning of Nasopharyngeal Carcinoma (NPC) Patients Y Wang1*, P Cheung1, J Lui2, F Lee2, L Wing Sum2, H Yiu2, J Cai1, (1) The Hong Kong Polytechnic University, Hong Kong, CN, (2) Queen Elizabeth Hospital, Hong Kong, HK |
| PO-GePV-M-16 | Evaluation of a Commercial Convolution Neural Network Based Auto-Segmentation Software M Leyva*, D Wang, N Mcallister, A Gutierrez, R Tolakanahalli, Miami Cancer Institute, Miami, Florida |
| PO-GePV-M-23 | SliCERR: An Extension for 3D Slicer to Execute CERR Analysis Routines E LoCastro1*, H Veeraraghavan2, T Kapur3, A Iyer4, C Pinter5, G Sharp6, J Deasy7, A Apte8, (1) Memorial Sloan Kettering Cancer Center, New York, New York, (2) Memorial Sloan Kettering Cancer Center, New York, NY, (3) Harvard Medical School, Boston, MA, (4) Memorial Sloan Kettering Cancer Center, New York, NY, (5) Queen's University, Kingston, ON, CA, (6) Massachusetts General Hospital, Beverly, MA, (7) Memorial Sloan Kettering Cancer Center, New York, NY, (8) Memorial Sloan-Kettering Cancer Center, Maywood, NJ |
| PO-GePV-M-27 | Initial Utilization of An Outcomes Database to Determine the Effects of Planning Technique Change On Patient Outcomes A Du*, B Morris, P Lewiz, A Beggs, S Hedrick, Provision Center for Proton Therapy, Knoxville, TN |
| PO-GePV-M-34 | Clinical Implementation of the Pancreatic Cancer Fast CT-CBCT Registration Network Model E LoCastro1*, J Hong2, Y Hu3, X Han4, A Apte5, G Mageras6, (1) Memorial Sloan Kettering Cancer Center, New York, New York, (2) MSKCC, New York, NY, (3) Memorial Sloan Kettering Cancer Center, New York, NY, (4) Unc Chapel Hill, ,,(5) Memorial Sloan-Kettering Cancer Center, Maywood, NJ, (6) Memorial Sloan-Kettering Cancer Center, New York, NY |
| PO-GePV-M-79 | Clinical Implementation of the Philips Orthopedic Metallic Artifact Reduction (OMAR) Algorithm for Proton Radiotherapy CT Simulations N Miksys*, C Curley, R Tokarz, Ackerman Cancer Center, Jacksonville, Florida |
| PO-GePV-M-110 | Assessing the Accuracy of Target Contours Derived From Ethos ICBCT Images for Online Adaptive Prostate SBRT D O'Connell*, M Xiang, T Ma, S Yoon, L Valle, R Savjani, J Lamb, University of California, Los Angeles, Los Angeles, CA |
| PO-GePV-M-112 | Three-Dimensional Dose Super-Resolution Using Implicit Neural Representation V Vasudevan1*, O Pastor-Serrano2,4, C Huang3, C Chuang4, Z Perko2, P Dong4, L Xing4, (1) Stanford University, Stanford, CA, (2) Delft University of Technology, Delft, NL, (3) Stanford University, Stanford, CA, (4) Stanford University School of Medicine, Stanford, CA, |
| 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-138 | Feasibility of a Second-Generation Dual-Layer Spectral CT System for Stopping Power Prediction and Dose Calculation in Particle Therapy F Longarino1*, A Kowalewski2, T Tessonnier3, S Mein4, B Ackermann5, J Debus6, W Stiller7, A Mairani8, (1) German Cancer Research Center (DKFZ), Heidelberg, DE, (2) German Cancer Research Center (DKFZ), Heidelberg, DE, (3) Heidelberg Ion Beam Therapy Center (HIT), Heidelberg, DE, (4) German Cancer Research Center (DKFZ), Heidelberg, DE, (5) Heidelberg Ion Beam Therapy Center (HIT), Heidelberg, DE, (6) Heidelberg University Hospital, Heidelberg, DE, (7) Heidelberg University Hospital, Heidelberg, DE, (8) Heidelberg Ion Beam Therapy Center (HIT), Heidelberg, DE |
| PO-GePV-M-150 | Feasibility of Using the Planning CT (pCT) Electron Density Calibration Curve for Prostate Cancer Adaptive Planning Based On Daily Cone-Beam CT P Shukla*, D Mynampati, P Brodin, A Lukaj, R Yaparpalvi, A Basavatia, W Tome, Montefiore Medical Center, Bronx, NY |
| PO-GePV-M-168 | Feasibility Study of Deep Learning Based ITV Prediction in Cone Beam CT Images & It’s Dosimetric Study of Lung SBRT S Zhang1, Z Li2, E Yang3, Y Li4, L Zhang5, X Zheng6, J Qiu7*, (1) Department of Radiation Oncology, Huadong Hospital, Fudan University,, Shanghai, 31, CN, (2) Duke Kunshan University, Kunshan, 32, (3) Department of Radiation Oncology, Huadong Hospital, Fudan University,, Shanghai, 31, CN, (4) Department of Radiation Oncology, Huadong Hospital, Fudan University,, Shanghai, 31, CN, (5) Department of Radiation Oncology, Huadong Hospital, Fudan University,, Shanghai, 31, CN, (6) Department of Radiation Oncology, Huadong Hospital, Fudan University,, Shanghai, 31, (7) Department of Radiation Oncology, Huadong Hospital, Fudan University,, Shanghai, 31, CN |
| PO-GePV-M-169 | Development of An Image-Plan-Treat Workflow On An Integrated KVCT and Linac System G Chen, A Tai, K Kainz, Y Zhang, A Amjad, H Jassar*, X Li, Medical College of Wisconsin, Milwaukee, WI |
| PO-GePV-M-178 | Lymphocyte-Sparing Radiotherapy: Reducing Dose to Lymphocyte-Related Organs at Risk in Locally Advanced Lung Cancer N Bassiri, M Daly, T Yamamoto*, UC Davis School of Medicine, Sacramento, CA |
| PO-GePV-M-180 | Multimodality Image Registration and Fusion Using Deep Learning for Radiotherapy Planning A Ratke*1, E Darsht1, C Baeumer2, B Spaan1, K Kroeninger1, (1) TU Dortmund University, Dortmund, DE, (2) West German Proton Therapy Centre Essen, Essen, DE |
| PO-GePV-M-194 | Feasibility of PTV Margin Reduction for Pelvic Oligometastatic Disease Treated Using MRI-Guided Adaptive Radiotherapy J Snyder1*, J St. Aubin1, D Dunkerley1, D Hyer1, (1) University of Iowa Hospitals and Clinics, Iowa City, IA |
| PO-GePV-M-200 | Assessment of Clinical Impact On Treatment Planning of the Use of Deep-Learning Model for Organ-At-Risk Autosegmentation for Head and Neck Cancer J Lucido1*, T DeWees2, T Leavitt2, A Anand2, C Beltran3, M Brooke4, J Buroker1, R Foote1, O Foss1, T Hodge1, C Hughes4, A Hunzeker1, N Laack1, T Lenz1, M Morigami4, D Moseley1, Y Patel4, E Tryggestad1, L Undahl1, A Zverovitch4, S Patel2, (1) Mayo Clinic, Rochester, MN, (2) Mayo Clinic, Phoenix, AZ, (3) Mayo Clinic, Jacksonville, FL, (4) Google Health, Mountain View, CA |
| PO-GePV-M-201 | Automatic Segmentation of Rectal Tumor On Magnetic Resonance Images Via A Deep Discriminative Model Consisting of U-Net and Conditional Random Field Based Post-Processing Hao CHEN1*, Xing Li2, X. Sharon Qi3, (1) Xi'an University of Posts and telecommunications, Xian, ,CN, (2) Xi'an University of Posts and Telecommunications, Xian, Shaanxi Province, CN, (3) UCLA School of Medicine, Los Angeles, CA |
| PO-GePV-M-204 | Integration of Color Diffusion Tensor Tractography Images Into Contouring Workflows with Commercial Software Z Grelewicz*, K Tatebe, Rush University Medical Center, Chicago, IL |
| PO-GePV-M-209 | Automated Clinical Target Volume (CTV) Delineation Using Deep 4D Neural Networks with Enhanced OAR Sparing in Radiation Therapy of Non-Small Cell Lung Cancer (NSCLC) Y Xie1*, K Kang2, Y Wang3, M Khandekar4, H Willers5, F Keane6, T Bortfeld7, (1) Massachusetts General Hospital, Boston, MA, (2) Independent Researcher, ,,(3) Massachusetts General Hospital, Boston, MA, (4) Massachusetts General Hospital, ,,(5) Massachusetts General Hospital, Boston, MA, (6) Massachusetts General Hospital, ,,(7) Massachusetts General Hospital, Boston, MA |
| PO-GePV-M-211 | Clinical Equivalency of Alternate Head-And-Neck OAR Delineations MNH Rashad1*, F Badry1, V Leandro Alves1, H Nourzadeh2, W Choi2, J Siebers1, (1) University of Virginia, Charlottesville, VA, (2) Thomas Jefferson University, Philadelphia, PA, |
| PO-GePV-M-239 | Dosimetric Feasibility of Craniopharyngioma Radiation Therapy Using An MR-Guided Linac K Mooney*1, M Mistro2, C Ainsley1, A Harrison3, A Kubli1, H Liu1, H Nourzadeh1, W Shi1, 1Thomas Jefferson University Hospital, Philadelphia, PA 2University of Virginia, Charlottesville, VA 3ChristianaCare Health System, Newark DE |
| PO-GePV-M-246 | Feasibility of Stereotactic Radiotherapy for Base of Tongue Cancers On the MR-Linac H Wang1*, (1) UT MD Anderson Cancer Center, Houston, TX |
| PO-GePV-M-253 | MR-Based Treatment Planning and Plan Adaptation for Treating Cardiac Metastases with MR-Linac J Yang*, P Castillo, A Sobremonte, B Lee, M Pham, N Hughes, M Mohammadsaid, X Wang, P Lee, UT MD Anderson Cancer Center, Houston, TX |
| PO-GePV-M-255 | Feasibility of Using AI Generated Synthetic CT Images From a Commercially Available MRI Simulator for Proton Therapy Planning in the Prostate M Saki1*, P Johnson1,2, C Liu2, (1) University of Florida Health Proton Therapy Institute, Jacksonville, FL, (2) University of Florida, Gainesville, FL |
| PO-GePV-M-281 | A Framework for Effective Radiotherapy Treatment Plan Reporting in a Visual Programming Language M Schmidt1*, W Keranen2, J Labrash1, B Bikki2, P Szentivanyi2, J Aho2, V Gedei2, A Balogh2, F Reynoso1, G Hugo1, N Knutson1, (1) Washington University School of Medicine in St. Louis, Saint Louis, MO, (2) Varian Medical Systems, |
| PO-GePV-M-310 | Dose Mimicking of Carcinoma Cervix Treatment Plans Using a Novel Convolutional Deep Neural Network G Singh1*, H Himani2, A Oinam1, D Thaper3, R Kamal3, B Rai1, V Kumar4, (1) PGIMER, Chandigarh, Chandigarh, IN, (2) HOMI BHABHA CANCER HOSPITAL, SANGRUR, Rupnagar, PB, IN, (3) ILBS, Delhi, IN, (4) Centre for Medical Physics, Chandigarh, CH, IN |
| PO-GePV-M-345 | Automatic Segmentation Algorithms Improve the Efficiency and Inter-Observer Agreement of Gross Target Volumes Contours E Czeizler1, J Pajula2, H Polonen3, K Antila4, K Lehtio5, J Lehto6, A Tiulpin7, A Maslowski8, M Hakala9, E Kuusela10, K Bush11*, (1) Varian Medical Systems Finland, Helsinki, FI, (2) VTT Technical Research Center of Finland, Tampere, ,FI, (3) VTT Technical Research Center of Finland, Tampere, FI, (4) VTT Technical Research Center of Finland, Tampere, FI, (5) Oulu University Hospital, Department of Oncology and Radiotherapy, Oulu, FI, (6) Oulu University Hospital, Department of Oncology and Radiotherapy, Oulu, ,FI, (7) Ailean Technologies Oy, FI, (8) Varian Medical Systems, Palo Alto, CA, (9) Varian Medical Systems Finland, Helsinki, FI, (10) Varian Medical Systems Finland, Helsinki, FI, (11) Stanford University, Stanford, CA |
| PO-GePV-T-3 | Clinical Analysis of a Dual-Energy CT Joint Statistical Image Reconstruction Method in Proton Therapy X Chen1*, M Medrano2, T Ge3, R Liao4, D Politte5, B Whiting6, Y Hao7, J Williamson8, J O'Sullivan9, T Zhao10, (1) Washington University in St. Louis, St. Louis, MO, (2) Washington University in St. Louis, St. Louis, MO, (3) Washington University in St. Louis, St. Louis, MO, (4) Washington University in St. Louis, St. Louis, MO, (5) Washington university in St. Louis, St. Louis, (6) retired, Pittsburgh, PA, (7) Washington University School of Medicine, St. Louis, MO, (8) Washington University in St. Louis, St. Louis, MO, (9) Washington University, St. Louis, MO, (10) Washington University School of Medicine, St. Louis, MO |
| 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-6 | Dosimetric Evaluation of Ethos IMRT Versus Eclipse VMAT Plans for Cervical Cancer ART D Branco*, K Kisling, R Manger, D Rash, K Moore, X Ray, UC San Diego, La Jolla, CA |
| 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-34 | Evaluation of the Dosimetric Quality of MRI-Only HDR Brachytherapy Planning with Titanium Ring-And-Tandem Applicators I Veltchev*, T Lin, X Chen, R Price, K Howell, C Ma, Fox Chase Cancer Center, Philadelphia, PA |
| PO-GePV-T-39 | Dose Reduction and Tumor Coverage in Small Uveal Melanoma Tumors Treated with Eye Plaque Brachytherapy When Normalizing to An Alternative Prescription Point S Tan*, E Schnell, D Zuro, S Ahmad, S Martinez, University of Oklahoma Health Sciences Center, Oklahoma City, OK |
| PO-GePV-T-55 | Integrated Optimization of Needle Path and Dwell Time for Individual Template Guided Interstitial Brachytherapy Y Wang1, B Liu1,2*, H Sun3, F Zhou1,2 (1)Image Processing Center, Beihang University, Beijing, CN (2) Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, CN (3) Department of Radiation Oncology, Peking University Third Hospital, Beijing, CN |
| PO-GePV-T-67 | Investigating Dose Calculation Algorithms in Electron Radiation Therapy with Tissue Equivalent Material F Mostafaei, T Lavin, D Jacobs, M Rocque, C Huh*, Medical College of Georgia, Department of Radiation Oncology, Augusta University, Augusta, GA, USA |
| PO-GePV-T-89 | Eclipse Scripting API: An Automated Plan-Check to Improve Efficiency C Chang*, Y Wu, M Yang, National Taiwan University Hospital, Taipei, TW |
| PO-GePV-T-90 | Improving Treatment Plan Workflow with Automated Eclipse Scripting API Y Wu*1, D Bhatti, C Chang1 , (1)National Taiwan University Hospital, Taipei, TW |
| PO-GePV-T-96 | Clinical Assessment of Commercially Available Software for Composite Hypofractionated Treatment Plans C Esquivel, T Roberts, A Tipton, O Calvo*, L Patton, Texas Oncology, San Antonio, San Antonio, TX |
| 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-162 | Proton Pencil Beam Scanning Proton Vs Photon Stereotactic Body Radiotherapy for Ventricular Tachycardia: A Comparative Planning Study M Ruth1*, B Hartl1, J Marcel1, J Arkles2, K Cengel1, E Diffenderfer1, M Kim1, (1) Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA (2) Department of Medicine, University of Pennsylvania, Philadelphia, PA |
| PO-GePV-T-166 | Feasibility of Intensity Modulated Proton Therapy for Treating Pancreatic Cancer Using a Hypofractionated Approach F Alsanea, T Williamson, F Poenisch, R Martin, S Beddar, G Sawakuchi, L Perles, E Ludmir, A Koong, P Das, C Taniguchi, E Koay, J Niedzielski*, UT MD Anderson Cancer Center, Houston, TX |
| PO-GePV-T-251 | Exploration of One-Step Auto Planning: Tomotherapy MLC Sequence Prediction Yaoying Liu1,2, Xuying Shang1,2, Gaolong Zhang1, Xiaoyun Le1, Wei Zhao1, Chuanbin Xie2, Baolin Qu2, Shouping Xu3,* (1) Beihang University, School of Physics, Beijing, China. (2) The First Medical Center of PLA General Hospital, Department of Radiation Oncology, Beijing, China. (3) National Cancer Center/Cancer Hospital- Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Radiation Oncology, Beijing, China. |
| PO-GePV-T-252 | Reinforcement Learning to Speed Up Conjugate Gradient Optimization in IMRT M Hakala1, S Basiri1, E Kuusela1, K Bush2*, (1) Varian Medical Systems Finland, Helsinki,FI, (2) Stanford University, Stanford, CA |
| PO-GePV-T-254 | Transformer Network Assisted VMAT Optimization P Dong*, L Xing, Stanford University School of Medicine, Stanford, CA |
| PO-GePV-T-255 | Intensity Based Optimization Using Monte Carlo Dose Distribution for VMAT Plans N Miri1*, A Pant2, S Bhagroo3, J Mathews4, D Nazareth1,2, (1) Roswell Park Comprehensive Cancer Center, Buffalo, NY (2) University at Buffalo, Buffalo, NY (3) University of Utah, Salt Lake City, UT (4) The Ohio State University, Columbus, OH |
| PO-GePV-T-256 | Radiotherapy Planning with Monte Carlo Dose Calculation and Intensity Optimization On Control Points N Miri1*, A Pant2, S Bhagroo3, J Mathews4, D Nazareth1,2, (1) Roswell Park Comprehensive Cancer Center, Buffalo, NY, (2) University at Buffalo, Buffalo, NY, (3) University of Utah, Salt Lake City, UT, (4) The Ohio State University, Columbus, OH |
| PO-GePV-T-257 | Dose Predictions Facilitate Efficient Optimization of High-Quality Prostate Treatment Plans S Robertson*, D Lasher, B Kassas, Wellspan Health, York, PA |
| PO-GePV-T-259 | A Novel Planning Method to Mitigate Effects of Shoulder Setup and Positioning Variations for Volumetric Modulated Arc Therapy (VMAT) of Head and Neck Cancer Y Yang, J Peng, X Liu, Z Li, Y Zheng*, Guangzhou Concord Cancer Center, Guangzhou, Guangdong Province, CN |
| PO-GePV-T-261 | Hybrid Forward and Inverse Planning Approach For Lattice Radiation Therapy G Shukla*, A Mahadevan, Geisinger, Lewistown, PA |
| PO-GePV-T-281 | Modeling and Validation of Knowledge-Based Planning for Prostate with Simultaneous Integrated Boost to Dominant Intra-Prostatic Lesion S Kuznetsova1*, A Lui2, T Seibert3, K Moore4, (1) ,La Jolla, CA, (2) University Of California, San Diego, ,,(3) University Of California, San Diego, ,,(4) UC San Diego, La Jolla, CA |
| PO-GePV-T-288 | A Treatment Planning Feasibility Study for Cranio-Spinal Irradiation (CSI) Using RefleXion X1 D Pham1*, T Ngo2, B Han1, M Surucu1, S Hiniker1, N Kovalchuk1, (1) Stanford University, Palo Alto, CA, (2) MD Anderson Cancer Center, Dosimetry School, Houston, Tx |
| 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-291 | Correlation Between Modulation Indices and Gamma Passing Rate for Different Treatment Sites E Salari*, N Sperling, E Parsai, University of Toledo Medical Center, Toledo, OH |
| PO-GePV-T-293 | Dosimetric Analysis of Volumetric Modulated Arc Therapy for Extensive Skin Field Cancerization of the Scalp A Hafeez, T Nurushev, A Sutter, T Fox, B Koontz, W Curran, P Potrebko*, GenesisCare, Fort Myers, FL |
| PO-GePV-T-299 | Title:Automated Testing Platform Within a Software Development Governance Framework for Treatment Planning System User Scripts J Lucido*, S Seetamsetty, D Ellerbusch, S Shiraishi, J Antolak, D Moseley, Mayo Clinic, Rochester, MN |
| PO-GePV-T-302 | Dosimetric Comparison Between TMR Based Algorithm and Collapsed Cone Algorithm for Radiodynamic Therapy Treatment Planning Using 45MV Beams A Eldib1, J Liu1*, J Panetta1, M Sherif2, C Ma1, (1) Fox Chase Cancer Center, Philadelphia, PA, USA (2) Kuwait Cancer Control Center, Hawally 32097, ,KW, Kuwait |
| PO-GePV-T-303 | Quality and Safety Control with Eclipse Scripting for Dose Calculation Using Acuros XB Algorithm J Teruel, J Rembish*, I Duarte, H Wang, J Xue, P Galavis, D Barbee, T Chen, New York Langone Health, New York, NY |
| PO-GePV-T-307 | Comparison of Manual, Isodose-Based, and Projection-Based PTV Contouring Methods for 3D Conformal Breast Cancer Treatment Planning P Jensen1,2*, Z Chen1,2, (1) Yale-New Haven Health, New Haven, CT, (2) Yale University School of Medicine, New Haven, CT |
| PO-GePV-T-308 | Anatomic Optimization of VMAT Field Arrangement and Isocenter Placement for Cardiac Sparing Whole-Lung Radiation Therapy J Teruel*, P Galavis, A Mccarthy, B Cooper, D Barbee, NYU Langone Health, New York, NY |
| 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-387 | Evaluation of 4Pi Arc Positioning for Cranial VMAT SRS in Elements B Loughery*, C Knill, R Sandhu, L Lin, Z Seymour, Beaumont Hospital, Dearborn, MI |
| PO-GePV-T-393 | Evaluation of the Effects of Energy and Planned Dose Grid On Plan Quality Metrics for Treatment of Single Isocenter Multiple Target Brain Lesions E Salari, E Parsai*, N Sperling, University of Toledo Medical Center, Toledo, OH |
| PO-GePV-T-395 | Phantom Evaluation of Dose Calculation Accuracy Comparing BrainLab and Eclipse Treatment Planning Systems (TPS) for Brain Stereotactic Radiosurgery (SRS) with Simulation and Film Dosimetry J Yoon*, H Jung, M Milano, K Usuki, S Hardy, D Zheng, University of Rochester, Rochester, NY |
| PO-GePV-T-396 | Dosimetric Evaluation of Two Modern Planning Techniques for Single-Isocenter, Multiple Brain Metastases Fractionated-Stereotactic Radiosurgery with >20 Lesions H Jung*, J Yoon, M Milano, K Usuki, S Hardy, D Zheng, University of Rochester, Rochester, NY |
| PO-GePV-T-407 | Differences Between AcurosXB and AAA On Collimator Angle in VMAT-SBRT for Lung Tumor Y Yamanaka1*, K Inoue2, Y Suetsugu3, M Tateishi1, T Hirose4, J Fukunaga4, T Yoshitake1, T Sasaki5, K Atsumi1, (1) Kyushu University, Fukuoka-shi, 40, JP, (2) Steel Memorial Yawata Hosp., Kitakyushu-shi, Fukuoka-ken, 40, JP, (3) Hos. of the Univ. of Occupational and Environmental Health, Kitakyushu-shi, Fukuoka-ken, 40, JP, (4) Kyushu Univ. Hosp., Fukuoka-shi, Fukuoka-ken, 40, JP, (5) Iizuka Hosp.,Iizuka-shi, Fukuoka-ken, 40,JP, |
| PO-GePV-T-409 | Single-Isocenter Multi-Target SRS VMAT Treatment Planning Strategy: When Targets Compete for Limited MLC Beam Apertures J Duan*, G Cui, N Walls, I Wang, F Yin, Duke University Medical Center, Durham, NC |
| PO-GePV-T-418 | Evaluation of Two Treatment Planning Systems for Single Isocenter Multiple Metastases Stereotactic Radiosurgery Treatment Planning and Delivery W Johansson, D Opp, C Tichacek, B Libby*, G Zhang, G Redler, L Nardella, S Wasserman, D Oliver, T Robinson, H-H Yu, J Graham, H Lee Moffitt Cancer Center & Research Institute, Tampa, FL |
| SU-E-202-2 | Commissioning of a Commercial Whole-Body Gamma Camera Image-Based Radiopharmaceutical Therapy Treatment Planning System W Erwin1*, (1) UT MD Anderson Cancer Center, Houston, TX |
| SU-E-206-4 | Distributed and Scalable Optimization for Robust Proton Treatment Planning A Fu1*, V Taasti2, J Deasy1, M Zarepisheh1, (1) Memorial Sloan-Kettering Cancer Center, New York, NY, (2) Maastricht University Medical Center, Maastricht, NL |
| SU-E-206-6 | Towards Automated, Knowledge-Based Brachytherapy Treatment Planning: Converting 3D Dose to Optimized Dwell Times K Kallis, L Moore, D Brown, J Mayadev, KL Moore, SM Meyers*, University of California, San Diego, La Jolla, CA |
| SU-E-206-7 | Cardiac Substructures Specific Knowledge-Based Treatment Planning for Lung Radiotherapy S Momin1*, J Wolf1, J Roper1, Y Lei1, M Lloyd2, T Liu1, J Bradley1, K Higgins1, X Yang1, J Zhang1, (1) Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, 30322 (2) Department of Medicine, Division of Cardiology, Emory University, Atlanta, GA |
| SU-E-BRA-7 | Towards Improved Robustness to Needle Displacement: A Robust Planning Technique for Gynecological High Dose Rate Interstitial Brachytherapy K Jiang*, M MacFarlane, R McCarroll, N Lamichhane, P Mohindra, Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD |
| 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-BRB-6 | Developing Clinical Pipeline to Translate Deep Learning Based Auto-Segmentation Models for Radiotherapy Planning M Lin*, T Bai, B Wang, D Nguyen, Y Gonzalez, J Wu, Y Yan, X Jia, A Godley, S Jiang, W Lu, The University of Texas Southwestern Medical Ctr, Dallas, TX |
| 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-BRA-8 | Using FMEA to Evaluate the Changes in Patient Risk for a New Automated Breast Planning Workflow K O'grady*, L KUO, G Tang, J Moran, L Hong, C Della Biancia, K Ohri, A Ng, E Lin, L Santanam, Memorial Sloan Kettering Cancer Center, New York, NY |
| SU-H300-IePD-F4-3 | Learned Iterative Shrinkage-Thresholding Algorithm (LISTA) for Sparse Rectangular Aperture Optimization Q Lyu*, M Cao, K Sheng, UCLA School of Medicine, Los Angeles, CA |
| SU-H300-IePD-F4-5 | Aperture and Control Point Weight Prediction for Breast VMAT Using Deep Learning L Vandewinckele1*, T Reynders2, S Petillion2, C Weltens1,2, F Maes3,4, W Crijns1,2, (1) Department of Oncology, Laboratory of Experimental Radiotherapy, KU Leuven, BE-Belgium, (2) Department of Radiation Oncology, UZ Leuven, BE-Belgium, (3) Department ESAT/PSI, KU Leuven, BE-Belgium,(4) Medical Imaging Research Center, UZ Leuven, BE-Belgium, |
| SU-H300-IePD-F6-2 | Accuracy of An Automated Software for Adaptive Radiotherapy of Head and Neck Cancers S Gros1,2*, A Block1,2, A Santhanam3, (1) Loyola University Chicago, Stritch School of Medicine, Department of Radiation Oncology, Maywood, IL, (2) Loyola University Medical Center, Maywood, Illinois, (3) University of California, Los Angeles, Los Angeles, CA |
| SU-H300-IePD-F6-5 | Synergizing Artificial Intelligence 3D Dose Predictor with Ethos Intelligent Optimizer for Head and Neck Adaptive Radiotherapy Treatments J Visak*, E Inam, B Meng, D Nguyen, D Parsons, T Zhuang, D Moon, V Avkshtol, D Sher, M Lin, University of Texas Southwestern Medical Center, Dallas, TX |
| SU-H300-IePD-F7-3 | An Automatic Needle and Seed Planning Algorithm for Head and Neck Seed Implant Brachytherapy Z Xiao1,F Zhou1,2, B Liu1,2*, Z Ji3, H Sun3, Y Jiang3, J Wang3, Q Wu4, (1) Image Processing Center, Beihang University, Beijing, CN (2) Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, CN (3) Department of Radiation Oncology, Peking University Third Hospital, Beijing, CN (4) Duke University Medical Center, Durham, NC |
| SU-H330-IePD-F6-1 | Improvement of Online Treatment Planning with the MR-Linac Using Fat-Suppressed MRI T Salzillo1*, A Dresner2, A Way1, K Wahid1, S Mulder1, A Yoder1, S Ahmed1, K Corrigan1, G Manzar1, L Andring1, C Pinnix1, R Stafford3, A Mohamed1, J Wang4, C Fuller1, (1) Department of Radiation Oncology, MD Anderson Cancer Center, Houston, TX (2) Philips Healthcare (3) Department of Imaging Physics, MD Anderson Cancer Center, Houston, TX (4) Department of Radiation Physics, MD Anderson Cancer Center, Houston, TX |
| SU-H330-IePD-F7-5 | Clinical Outcome-Driven Intelligent Automatic Treatment Planning of High-Dose-Rate Brachytherapy for Cervical Cancer E Wang, C Shen*, Y Gonzalez, X Jia, The University of Texas Southwestern Medical Center, Dallas, TX |
| SU-H400-IePD-F4-2 | Improving Conformality and Homogeneity with Intensity Modulated Electron FLASH Radiotherapy M Rahman1, K Erhart2, D Gladstone3, P Bruza4, C Thomas5, L Jarvis6, J Hoopes7, B Pogue8, R Zhang9*, (1) Dartmouth College, Hanover, NH, (2) .decimal LLC, Sanford, FL, (3) Dartmouth College, Hanover, New Hampshire, (4) Dartmouth College, Hanover, NH, (5) Dartmouth-Hitchcock Medical Center, ,,(6) Dartmouth-Hitchcock Med. Ctr., Lebanon, NH, (7) Dartmouth College, Hanover, NH, (8) University of Wisconsin-Madison, Madison, WI, (9) Dartmouth-Hitchcock Med. Ctr., Lebanon, NH |
| SU-H400-IePD-F4-5 | Robustness Analysis of Single-Energy Bragg Peak FLASH Plans for Hypofractionated Liver Radiotherapy S Wei, H Lin, C Shi, W Xiong, C Chen, S Huang, R Press, S Hasan, A Chhabra, I Choi, C Simone, M Kang*, New York Proton Center, New York, NY |
| SU-H400-IePD-F8-6 | Improving Structural Similarity Based Indication for MR-Guided Online Adaptation Replanning Abdul K. Parchur*, Haidy Nasief, Sara Lim, Eenas Omari, Ying Zhang, X. Allen Li, Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, 53226 USA |
| SU-H430-IePD-F5-1 | An Integrated Reporting Dataset for Investigating Programmatic Modifications of Radiotherapy Treatment Planning Data M Schmidt1*, P Szentivanyi2, F Reynoso1, N Knutson1, G Hugo1, E Sajo3, J Labrash1, B Sun1, P Zygmanski4, M Jandel3, A Price1, (1) Washington University School of Medicine in St. Louis, Saint Louis, MO, (2) Varian Medical Systems, (3) University of Massachusetts Lowell, Lowell, MA,(4) Brigham & Women's Hospital, Boston, MA |
| SU-J-206-1 | An Evolutionary Algorithm of the Spot Sparsity Optimization in Proton Arc Therapy L Zhao*, G Liu, X Li, X Ding, Department of Radiation Oncology, Beaumont Health System, Royal Oak, MI |
| SU-J-206-2 | Biological Optimization of Peak-To-Valley Dose Ratio and Normal-Tissue Survival Fraction for Proton Minibeam Radiation Therapy W Zhang, W Li*, Y Lin, F Wang, R Chen, H Gao, University of Kansas Medical Center, Kansas City, KS |
| SU-J-206-7 | Stochastic Coordinate Descent Optimization Algorithm for Rapid Spot-Scanning Fixed-Beam Or Arc Therapy J Fan1*, J Cai1, Y Lin2, R Chen2, H Gao2, (1) The Hong Kong University of Science and Technology, Hong Kong, China, (2) University of Kansas Medical Center, Kansas City, KS |
| SU-J-206-8 | Validation of the RayOcular Treatment Planning System for Proton Therapy of the Eye B Koska1,2,3*, J Wulff1,2,3, C M Baecker1,2,3,5, C Baeumer1,2,3,4,5, C Behrends1,2,3,5, B Timmermann1,2,3,4,6, (1) Westgerman Proton Therapy Center Essen, Essen, DE, (2) University Hospital Essen, Essen, DE, (3) West German Cancer Centre (WTZ), Essen, DE, (4) German Cancer Consortium (DKTK), Heidelberg, DE, (5) TU Dortmund University, Department of Physics, Dortmund, DE, (6) Department of Particle Therapy, Essen , DE |
| SU-J-BRC-4 | An Investigation of the Transferability of Deep-Learning Based Head and Neck Dose Prediction Model Among Different Institutions Y Chang*, B Teo, T Li, R McBeth, University of Pennsylvania, Philadelphia, PA |
| 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-BRC-1 | Implementation of Primary and Secondary Methods for Automatically Determining Necessity of Online Adaptive Replanning During MRI-Guided Adaptive Radiation Therapy H Nasief*, A Parchur, E Omari, Y Zhang, X Chen, X Li, Medical College of Wisconsin, Milwaukee, WI |
| SU-K-BRC-3 | Validation of CBCT-Based Machine-Learning Automated Planning for Adaptive Prostate Radiation Therapy A Khalifa1,2*, M Golshan1,3, I Navarro1,3, V Malkov3, C McIntosh1,2,3,4,5, T Purdie1,2,3, T Tadic1,3, J Winter1,3, (1) University of Toronto, Toronto, ON, CA, (2) Techna Institute, Toronto, ON, CA, (3) Princess Margaret Cancer Centre, Toronto, ON, CA, (4) Peter Munk Cardiac Center, Toronto, ON, CA, (5) Vector Institute, Toronto, ON, CA |
| TH-B-202-4 | Personalized Dosimetry for Thyroid Metastatic Cancers: An Ancillary Study of the MERAIODE Clinical Trial (NCT 03244956) Using OEDIPE Software S Lamart1*, N Anizan2, A Legrand1, M Bensiali1, D Broggio1, S Leboulleux2,3, (1) Institut de Radioprotection et de Surete Nucleaire, Fontenay-aux-roses, FR, (2) Gustave Roussy et Universite Paris Saclay, Villejuif, FR, (3) Geneva University Hospitals, Geneva, SW |
| TH-F-BRC-6 | Understanding and Modeling Human-Robot Interaction of Artificial Intelligence (AI) Tool in Real Radiation Oncology Clinic Using Deep Neural Network: A Feasibility Study Based On Three Year Prospective Clinical Data D Yang*, C Murr, S Yoo, F Yin, QJ Wu, Y Sheng, Duke University Medical Center, Durham, NC |
| TU-A-202-1 | An Investigation of Using Extracellular Volume Fraction Derived From Dual-Energy CT For pancreatic Tumor Delineation G Godfrey1*, G Noid1, P Knechtges1, W Hall1, J Shah2, B Erickson1, X Li1, (1) Medical College of Wisconsin, Milwaukee, WI, (2) Siemens Healthineers, Durham, NC |
| TU-D1000-IePD-F2-1 | A Protocol for Implementing CBCT Guided Daily Online Adaptive Radiotherapy Safely and Efficiently to Maximize Patient Benefit X Ray*, K Kisling, G Kim, K Moore, University of California, San Diego, La Jolla, CA |
| TU-D1000-IePD-F2-2 | Introducing An Isotoxic Paradigm for Delivery of Ultra-High Doses to Oligometastatic Disease Using Ethos Online Adaptive Radiotherapy G Redler1*, H Musunuru2, R Katipally3, C Lynch3, N Nasser1,4, A Olson2, G Gan5, J Luke2, S Chmura3, (1) H. Lee Moffitt Cancer Center, (2) University of Pittsburgh Medical Center, (3) University Of Chicago Medical Center, (4) University of South Florida, (5) University Of Kansas Cancer Center |
| TU-D1000-IePD-F3-5 | Dosimetric Comparison of Linac-Based SRS and Gamma Knife Plans for Arteriovenous Malformations B Garcia1*, E Calugaru2, B Chitti2, B Delacruz1, A Goenka2, J Chang2, (1) Hofstra University, Hempstead, NY, (2) Northwell Health, Lake Success, NY |
| TU-D1000-IePD-F4-5 | Automated Treatment Planning Framework for Single-Isocenter Multi-Target (SIMT) Cranial SRS Treatments J Teruel1, J Xue1, N Bice1, P Galavis1*, M Malin1, A Rea1, A Mccarthy1, T Daniels1, D Barbee1, (1) NYU Langone Health, New York, NY |
| 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-F5-5 | Fully-Automated Hybrid Proton-Photon Therapy Via Fraction Optimization W Li*, W Zhang, Y Lin, R Chen, H Gao, University of Kansas Medical Center, Kansas City, KS |
| TU-D930-IePD-F3-3 | Dosimetric Comparison of Small Animal Intensity-Modulated Versus 3D Conformal Radiotherapy Using a Computer-Generated Cardiac Mouse Phantom J Slagowski1*, E Pearson2, G Redler3, D Olivera Velarde2, H Halpern2, R Tummala2, B Aydogan2, (1) University of Wisconsin - Madison, Madison, WI, (2) University of Chicago, Chicago, IL, (3) H. Lee Moffitt Cancer Center, Tampa, FL |
| TU-D930-IePD-F4-1 | Robust, Applicator-Free and Bolus-Free Mixed Electron-Photon Beam Radiation Therapy for Soft Tissue Sarcoma V Heng1, 2*, M Serban2, C Freeman2, M Renaud3, J Seuntjens1,2,4, (1) McGill University, Montreal, QC, Canada (2) Mcgill University Health Centre, Montreal, QC, Canada (3) Gray Oncology Solutions, Montreal, QC, Canada (4) Princess Margaret Cancer Centre, Toronto, ON, Canada |
| TU-D930-IePD-F4-4 | Benchmarking Publicly Available Knowledge-Based Planning Models with An In-House Trained Model J Zhang*, J Wolf, K Luca, O Kayode, J Bradley, X Yang, T Liu, J Roper, Emory University, Atlanta, GA |
| TU-F115-IePD-F3-1 | Comparison of Aperture Complexity Between VMAT Plans Using Conventionally Flattened (FF) and Flattening-Filter-Free (FFF) Beams Q Liu, J Liang*, William Beaumont Hospital, Royal Oak, MI |
| TU-F115-IePD-F5-1 | Energy Matrix Based Energy Layer Optimization for Proton Arc Therapy G Zhang1, H Shen1,2*, Y Lin2, R Chen2, Y Long1, H Gao2*, (1) Shanghai Jiao Tong University, Shanghai, China (2) University of Kansas Medical Center, Kansas City, KS |
| TU-F115-IePD-F5-2 | FLASH Optimization Via Modified Orthogonal Matching Pursuit Y Zhu1*, Y Lin1, X Zhang2, R Chen1, H Gao1, 1) University of Kansas Medical Center, Kansas City, KS (2) Shanghai Jiao Tong University, Shanghai, China |
| TU-F115-IePD-F7-1 | IMRT and SBRT Treatment Planning Study for the First Clinical Installation of Biology-Guided Radiotherapy System D Pham1*, E Simiele2, D Breitkreutz3, D Capaldi4, O Oderinde5, B Han1, M Surucu1, L Vitzthum1, M Gensheimer1, H Bagshaw1, A Chin1, D Chang1, N Kovalchuk1, (1) Stanford University, Palo Alto, ,(2) Rutgers University, New Brunswick, NJ, (3) Sunnybrook Health Sciences Centre, North York, ON, CA, (4) University of California, San Francisco, San Francisco, CA, (5) RefleXion Medical, Hayward, CA |
| TU-F115-IePD-F7-3 | Is SBRT Treatment for Central/Ultra-Central Lung Tumor a Feasible Option On Ring-Gantry Halcyon Linac? S McCarthy*, M Bernard, W St Clair, M Kudrimoti, D Pokhrel, University of Kentucky, Lexington, KY |
| TU-G-BRA-1 | A Novel Method for Placing Lattice Targets for Spatially Fractionated Stereotactic Body Radiation Therapy (SFSBRT) L Buchanan2*, P Keigwin1, M Kaluarachchi2, M Schwer3, G Cardarelli4, (1) University of Rhode Island, Department of Physics, Kingston, RI, (2) Rhode Island Hospital/ Warren Alpert Medical, Providence, RI, (3) Rhode Island Hospital / Warren Alpert Medical, Warwick, RI, (4) Rhode Island Hospital / Warren Alpert Medical, Providence, RI |
| TU-G-BRA-5 | Automated Optimization of Lattice Geometry to Maximize Dose Heterogeneity in Spatially Fractionated Radiation Therapy (SFRT) P Hill*, RA Bayliss, Z Morris, C Glide-Hurst, University of Wisconsin, Madison, WI |
| TU-GH-BRB-10 | Intelligent Automatic Treatment Planning for Prostate Cancer Stereotactic Body Radiation Therapy Y Gao*, C Shen, Y Gonzalez, X Jia, Y Park, University of Texas Southwestern Medical Center, Dallas, TX |
| TU-H-BRA-2 | A User-Specific Automatic Contouring, Planning, and QA Solution for Cervical Cancer Radiotherapy D Rhee1*, A Jhingran1, B Rigaud1, K Huang1, C Anakwenze1, K Kisling2, B Beadle3, C Cardenas4, S Kry1, S Prajapati1, L Zhang1, K Brock1, W Shaw5, H Simonds6, L Court1, (1) MD Anderson Cancer Center, Houston, TX, (2) UC San Diego, La Jolla, CA, (3) Stanford University, Stanford, CA, (4) The University of Alabama at Birmingham, Birmingham, AL, (5) University of the Free State, Bloemfontein, ZA, (6) Stellenbosch University, Stellenbosch, Cape Town, ZA |
| TU-I345-IePD-F2-2 | IMRT Plans Guided by Novel Artificial Intelligence Neuro-Fuzzy Algorithm E Cisternas Jimenez12*, F Yin123, (1) Medical Physics Graduate Program, Duke University, Durham, NC, United States of America , (2) Department of Radiation Oncology, Duke University, Durham, NC, United States of America, (3) Medical Physics Graduate Program, Duke Kunshan University, Kunshan, People's Republic of China |
| 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-I345-IePD-F4-2 | Planning Strategies for Whole Head-And-Neck Radiation with Robustness Against Shoulder Motion Using Volumetric-Modulated Arc Therapy J Cammin1*, T Bouton2, E Chacko3, E Paranada4, B Zhang5, S Chen6, J Molitoris7, B Yi8, (1) University of Maryland, Baltimore, MD, (2) Maryland Proton Treatment Center, ,,(3) Maryland Proton Treatment Center, ,,(4) University of Maryland Medical Center, ,,(5) University of Maryland School of Medicine, Baltimore, MD, (6) University of Maryland School of Medicine, Baltimore, MD, (7) University of Maryland School of Medicine, Baltimore, ,(8) University of Maryland School of Medicine, Baltimore, MD |
| TU-I345-IePD-F4-3 | Biology-Guided Radiotherapy (BgRT) Treatment Planning Feasibility Study for Head-And-Neck, Abdomen, and Pelvis N Kovalchuk1*, L Vitzthum1, D Pham1, C Chuang1, M Gensheimer1, A Da Silva2, B Han1, D Chang1, M Surucu1, (1) Stanford University Cancer Center, Stanford, CA, (2) RefleXion Medical, Inc, Hayward, CA |
| TU-I345-IePD-F6-2 | P3app - a Fully Automated Plan Checking Tool for Philips Pinnacle TPS C Wu, J Glass*, Sutter Medical Foundation, Rocklin, CA |
| TU-I345-IePD-F6-3 | Comparison in GRID Planning of Self-Developed and Commercially Available Methods M Xu1*, R Foster1, Y Qin1, J Wei2, (1) Northwestern Medicine, Geneva and Warrenville, IL, (2) Varian Medical Systems, Southeastern Regional Medical Center, 600 Celebrate Life PKWY, Newnan, GA |
| TU-I345-IePD-F7-4 | Post-Optimization Flash for Breast/chestwall VMAT Treatment Plans Z Grelewicz*, K Jones, Rush University Medical Center, Chicago, IL |
| TU-J430-BReP-F2-2 | Daily Adaptive Replanning with Dose Accumulation for Prostate Ultra-Hypofractionated Radiotherapy Using Machine Learning Automated Planning On CBCT M Golshan1,2*, A Khalifa2,3, J Winter1,2,3, J Xie1, C McIntosh1,2,3,4,5, T Purdie1,2,3, V Malkov1,3, T Tadic1,2,3, (1) Princess Margaret Cancer Centre, Toronto, ON, CA, (2) University of Toronto, Toronto, ON, CA,(3) Techna Institute, Toronto, ON, CA,(4) Peter Munk Cardiac Center, Toronto, ON, CA, (5) Vector Institute, Toronto, ON, CA |
| WE-B-202-2 | MRI Simulation Protocol Optimization for Ocular Melanoma Proton Therapy Treatment Planning M Goette1*, R Slopsema2, A Dhabaan2, L Qiu2, D Qian2, H Shu2, (1) Emory Healthcare, Atlanta, GA, (2) Emory University, Atlanta, GA |
| WE-C1000-IePD-F3-1 | Development of Colli-DTRT: A Non-Coplanar Intensity Modulated Arc Therapy Technique with Dynamic Collimator Rotation J Bertholet1*, C Zhu1,2, P-H Mackeprang1, HA Loebner1, G Guyer1, W Volken1, O Elicin1, DM Aebersold1, MFM Stampanoni2, S Mueller1, MK Fix1, P Manser1, (1) Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland, (2) Institute for Biomedical Engineering, ETH Zuerich and PSI, Villigen, Switzerland |
| WE-C1000-IePD-F4-3 | A Dosimetric Study of the Use of Hydrogel SpaceOAR™ in the Reduction of Rectal Doses for Patients Undergoing Prostate Stereotactic Body Radiotherapy N Gross1*, R Teboh Forbang1,2, H Kadji1, G Gejerman2, B Lewis1,2, (1) Hackensack Meridian Health At Mountainside Medical Center,(2) Hackensack University Medical Center, Hackensack, NJ |
| WE-C1030-IePD-F3-4 | Development of Automated Sphere Placement Script for Lattice SBRT Using the Eclipse Scripting Application Programming Interface (ESAPI) W Tucker*, M Schmidt, T Mazur, J Hilliard, M Spraker, J Kavanaugh, Washington University School of Medicine in St. Louis, St. Louis, MO |
| WE-C930-IePD-F4-2 | Study of Thread Divergence in GPU-Based Monte Carlo Particle Transport Simulations C Panaino*, H Wan Chan Tseung, Mayo Clinic, Rochester, MN |
| WE-C930-IePD-F4-3 | Dosimetric Impact of Spinal Implant Hardware Material Selection Evaluated with Monte Carlo and Collapsed Cone Calculation Algorithms J Andreozzi*, L Nardella, K Latifi, N D Tran, G Redler, H. Lee Moffitt Cancer Center, Tampa, FL |
| WE-E-BRA-4 | MRI-Only Treatment Planning (MRTP) for Interstitial Gynecologic HDR Brachytherapy C Lee*, E Kaza, T Harris, D O'Farrell, R Cormack, I Buzurovic, Department of Radiation Oncology, Dana-Farber/Brigham and Womens Cancer Center, Harvard Medical School, Boston, MA |
| WE-FG-BRA-0 | Enhancing a Physicist's Role in Radiation Therapy Treatment Plan Assessment D Jacqmin1*, M Kim2*, S Parker3*, B Juneja4*, G Kim5*, L Rankine6*, (1) University of Wisconsin-Madison, Madison, WI, (2) University of Washington, Seattle, WA, (3) Wake Forest Baptist Health High Point Medical Center, Winston-Salem, NC, (4) MD Anderson Cancer Center at Cooper, Media, PA, (5) UC San Diego, La Jolla, CA, (6) The University of North Carolina at Chapel Hill, Chapel Hill, NC |
| WE-G-BRC-3 | Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiotherapy Plans M Gronberg1,2*, S Gay1,2, B Beadle3, A Garden1, H Skinner4, T Netherton1,2, W Cao1, I Vazquez1, A Olanrewaju1, C Chung1, C Cardenas5, C Fuller1,2, C Peterson1,2, A Jhingran1, R Howell1,2, T Lim1,2, M Yang1,2, R Mumme1, L Court1,2, (1) UT MD Anderson Cancer Center, Houston, TX, (2) MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, (3) Stanford University, Stanford, CA, (4) University of Pittsburgh, Pittsburgh, PA, (5) University of Alabama at Birmingham, Birmingham, AL |
| WE-G-BRC-4 | Evaluation of Commercial AI Segmentation Software J Roper*, T Wang, Y Lei, S Dresser, B Ghavidel, L Qiu, J Zhou, O Kayode, K Luca, J Bradley, T Liu, X Yang, Emory University, Atlanta, GA |
| WE-G-BRC-5 | Performing Fully Automated Treatment Planning Using Meta-Optimization C Huang*, Y Nomura, Y Yang, L Xing, Stanford University School of Medicine, Stanford, CA |