DISCLAIMER:
Entry of taxonomy/keywords during proffered abstract submission was optional.
Not all abstracts will appear in search results.
Keywords: Treatment Planning
| MO-B-TRACK 6-6 | BEST IN PHYSICS (MULTI-DISCIPLINARY): Treatment Response Prediction Using Extracellular Volume Fraction Derived From Dual-Source DECT for Chemoradiation Therapy of Pancreatic Cancer G Noid1*, G Godfrey1, E Paulson1, W Hall1, B Erickson1, J Shah2, X Li1, (1) Medical College of Wisconsin, Milwaukee, WI, (2) Siemens Healthineers, Durham, NC |
| MO-EF-TRACK 4-2 | Electron FLASH in Clinical Setting: LINAC Conversion, Commissioning and Treatment Planning M Rahman1*, M Ashraf1, D Gladstone1,2,3, P Bruza1, L Jarvis2,3, P Schaner2,3, X Cao1, B Pogue1,3,4, J Hoopes1,2,3,4, R Zhang1,2,3, (1) Thayer School of Engineering, Dartmouth College, Hanover, NH, (2) Department of Medicine, Radiation Oncology, Geisel School of Medicine, Dartmouth College, Hanover, NH, (3) Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, (4) Department of Surgery, Geisel School of Medicine, Dartmouth College, Hanover, NH |
| MO-IePD-TRACK 3-4 | 3D Deep Convolutional Neural Network for Mapping MRI to Synthetic MVCT for Radiotherapy Planning J Scholey1*, A Rajagopal2, E Vasquez3, A Sudhyadhom4, P Larson5, (1) University of California San Francisco, San Francisco, CA, (2) University of California San Francisco, San Francisco, CA, (3) University Of California Berkeley, Berkeley, CA,(4) Harvard Medical School, Boston, MA, (5) University of California San Francisco, San Francisco, CA |
| MO-IePD-TRACK 5-2 | Solving the Non-Convex Volumetric Modulated Arc Therapy (VMAT) Problem Via a Sequence of Convex Optimization Problems P Dursun*, G Jhanwar, J Deasy, M Zarepisheh, Memorial Sloan Kettering Cancer Center, New York, NY |
| MO-IePD-TRACK 5-2 | Capturing Head-And-Neck Planning Trends with a Knowledge-Based Tradeoff Model J Zhang1*, Y Sheng2, Y Ge3, Z Tian1, X Yang1, T Liu1, J Wu2, (1) Emory University, Atlanta, GA, (2) Duke University, Durham, NC, (3) University of North Carolina at Charlotte, Charlotte, NC |
| MO-IePD-TRACK 5-3 | A Deep-Learning-Based Dual-Arc VMAT Plan Generation From Patient Anatomy for Prostate Simultaneous Integrated Boost (SIB) Cases Q Zhu1*, X Li2, Y Ni3, C Wang4, Q Wu5, Y Ge6, F Yin7, Q Wu8, (1) Duke Kunshan University, Kunshan, 32, CN, (2) Duke University Medical Center, Durham, NC, (3) ,,,(4) Duke University Medical Center, Durham, NC, (5) Duke University Medical Center, Durham, NC, (6) University of North Carolina at Charlotte, Charlotte, NC, (7) Duke University, Chapel Hill, NC, (8) Duke University Medical Center, Durham, NC |
| MO-IePD-TRACK 5-5 | Plan N Check: An Open-Source Tool for Automatic Head-And-Neck VMAT Planning in Varian Eclipse™ C Sample1*, H Clark2, (1) British Columbia Cancer Agency, Vancouver, BC, CA, (2) British Columbia Cancer Agency, Surrey, BC, CA |
| MO-IePD-TRACK 5-6 | A Fully-Automated Field-In-Field Algorithm Translatable to Multiple Disease Sites K Huang1,2*, D Rhee1,2, A Olanrewaju2, D Hancock2, L Zhang2, C Cardenas1,2, P Das2, S Beddar1,2, D Fuentes1,2, T Briere1,2, L Court1,2, (1) University of Texas MD Anderson UTHealth Graduate School of Biomedical Sciences, (2) University of Texas MD Anderson Cancer Center, Houston, TX |
| MO-IePD-TRACK 5-6 | NYU Clinical Experience with Total Body Irradiation: From 3D Laterals to Image-Guided VMAT P Galavis*, C Hitchen, A Mccarthy, M Malin, S Taneja, S Ayyalasomayajula, Y Yuan, N Gerber, D Barbee, J Teruel, NYU Langone Medical Center, New York, NY |
| PO-GePV-M-33 | Three-Dimensional Dose Prediction Methodology for Gamma Knife B Zhang1*, A Babier1, T Chan1, M Ruschin2, (1) University of Toronto, Toronto, Ontario, CA, (2) Odette Cancer Centre, Toronto, ON, CA |
| PO-GePV-M-80 | Sun Nuclear DoseCHECK Vs Varian Mobius: Commissioning and Characterisation for Ethos Adaptive Independent Dose Calculations R Brown1*, R Bromley1, C Stanton1, B Zwan2, J Booth1, A Briggs1, (1) Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, AU, (2) Central Coast Cancer Centre, Gosford, AU |
| PO-GePV-M-84 | A Dilated Convolution Neural Network to Predict Three-Dimensional Dose Distribution in IMRT Treatment of Cervical Carcinoma Y Yang, Z Yuan*, University of Science and Technology of China, Hefei, Anhui, China |
| PO-GePV-M-85 | Plan Quality and Feasibility of Adaptive CBCT-Guided Prostate and Nodal Volume SBRT E Laugeman*, A Price, M Prusator, L Henke, B Baumann, Washington University in St. Louis, St. Louis, MO |
| PO-GePV-M-104 | Management of Urgent Sim-And-Treat Palliative Cases Via Halcyon KV-ICBCT Images M Gei*, M Randall, D Pokhrel, University of Kentucky, Lexington, KY |
| PO-GePV-M-120 | Potential for Using Extracellular Volume Fraction Derived From Dual-Source DECT for Pancreatic Tumor Delineation G Godfrey1*, G Noid1, J Shah2, W Hall1, B Erickson1, X Li1, (1) Medical College of Wisconsin, Milwaukee, WI, (2) Siemens Healthineers, Durham, NC |
| PO-GePV-M-127 | DeepDoseNet: A Deep Learning-Based Approach for 3D Dose Prediction M H Soomro1*, V Leandro Alves1, H Nourzadeh2, J Siebers1, (1) University of Virginia Health System, Charlottesville, VA, (2) Thomas Jefferson University, Philadelphia, PA. |
| PO-GePV-M-137 | Usefulness of 4DCT-Based Elasticity Map for Function Preserving Liver Radiotherapy Treatment Planning T Sera*, T Shiinoki, K Fujimoto, Y Yuasa, Y Kawazoe, H Tanaka, Yamaguchi UniversityUbeJP |
| PO-GePV-M-150 | Comparison of a Commercial Calculation-Based and Offline Measurement-Based Systems for Online Adaptive Radiotherapy A Quinn1*, A Briggs2, B Zwan3, J Booth4, (1) Royal North Shore Hospital, Sydney, NSW, AU, (2) Royal North Shore Hospital, Sydney, ,AU, (3) Gosford Hospital, Gosford, NSW, AU, (4) Royal North Shore Hospital, Sydney, NSW, AU |
| PO-GePV-M-173 | Investigation of Unity MR-Linac Adaptive Planning On Prostate SBRT Plan Quality J St-Aubin*, J Snyder, D Dunkerley, S Yaddanapudi, D Hyer, University of Iowa, Iowa City, IA |
| PO-GePV-M-186 | Automated Detection of Freiburg Flap Applicator Catheters for Surface Brachytherapy On PETRA MR Images E Kaza*, CY Lee, R Cormack, PM Devlin, I Buzurovic, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA |
| PO-GePV-M-188 | Geometric Accuracy of Spiral FLAIR for Treatment Planning in Stereotactic Radiosurgery: A Preliminary Study Z Li1*, S Srivastava2, J Karis1, (1) Barrow Neurological Institute, Phoenix, AZ, (2) Dignity Health, Phoenix, AZ |
| PO-GePV-M-208 | A Supplementary Management System for Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR) J Lin*, A Godley, R Timmerman, D Sher, J Wu, G Tang, Y Yan, The University of Texas Southwestern Medical Ctr, Dallas, TX |
| PO-GePV-M-212 | Prediction of Dose Discrepancies Using Differences in Plan Normalization Values of Head-And-Neck VMAT Plans M Sasaki1*, H Ikushima2, S Kobuchi3, K Kuwahara4, A Kajino5, D Sato6, W Sugimoto7, M Oita8, (1) Department of Therapeutic Radiology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima,JP (2) Department of Therapeutic Radiology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, JP (3)Graduate School of Health Sciences, Tokushima University, Tokushima, JP (4)Graduate School of Health 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 Radiological Technology, Tokushima Prefectural Central Hospital, Tokushima, JP (8) Okayama University Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama, JP |
| PO-GePV-M-238 | Using Deep Learning Auto-Planning for Evaluating the Dosimetric Impact of Deep Learning Auto-Segmentation Without Human Intervention Over Multiple Dose Escalation Schemes for Lung SBRT Treatment Planning M Holmstrom1*, E Samuelsson1, Y Wang2, (1) RaySearch Laboratories, Stockholm, Sweden, (2) Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA |
| PO-GePV-M-244 | Performance Evaluation and Validation of Knowledge-Based Treatment Planning of VMAT for Post-Mastectomy Loco-Regional Radiotherapy Involving Internal Mammary Chain R Phurailatpam*, M Sah, J Jain, T Wadasadawala, K Joshi, J Swamidas, ACTREC, Navi Mumbai, MHIN, |
| PO-GePV-M-257 | A Deep Learning-Based Physician-Specific OAR Segmentation Framework for Radiotherapy Treatment Planning Y Chen*, L Xing, L Yu, N Panjwani, J Obeid, M Gensheimer, H Bagshaw, M Buyyounouski, N Kovalchuk, B Han, Stanford University School of Medicine, Stanford, CA |
| PO-GePV-P-26 | First Quality Assurance Implementation of Treatment Planning System for Pencil Beam Scanning Proton Radiotherapy W Xiong*, G Yu, M Kang, S Huang, H Lin, New York Proton Center, New York, NY |
| PO-GePV-P-33 | Comparison of Intracranial Stereotactic Radiotherapy (SRS/SRT) Plan Quality Using CyberKnife, Eclipse MLC and Cone Techniques X Zhang*, S Jang, S Lee, A Hirsch, K Mak, M Dyer, M Truong, Boston Medical Center, Boston, MA |
| PO-GePV-P-50 | An Implementation Strategy for Introducing Automated Treatment Planning Into the Clinic J Jackson*, H Kang, J Wick, J Roeske Loyola University Medical Center, Maywood, IL |
| PO-GePV-T-19 | MRI-Based Virtual Volume Study for Permanent Prostate Brachytherapy (PPB) Y Le1*, S Ng2, Y Yue3, G Guo4, J Holmes5, (1) Indiana University- School of Medicine, Indianapolis, IN, (2) Indiana University Methodist Hospital, Indianapolis, IN, (3) Indiana University, Carmel, IN, (4) University Hospital Cleveland, ,,(5) Indiana University- School Of Medicine, |
| PO-GePV-T-41 | Development of a Software Tool for FLASH Dose and Dose Rate Optimization for IntraOp Mobetron A Ayan*, D Blakaj, A Chakravarti, N Gupta, J Woollard, Ohio State Univ, Dublin, OH |
| PO-GePV-T-44 | Bremsstrahlung Dose of the Electron Beam at Extended Distances Used in Total Skin Electron Therapy G Ding1*, S Kucuker Dogan2, I Das3, (1) Vanderbilt University, Nashville, TN, (2) Northwestern Memorial Hospital, Chicago, IL, (3) Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL |
| PO-GePV-T-51 | Development and Validation of ESAPI Script Based Electron Cutout Digitizer T Chen*, H Wang, J Teruel, D Barbee, New York University, New York, NY |
| PO-GePV-T-57 | Clinical Implementation of An Abdominal Compression Belt On a Double Scattering Proton Machine X Wang1*, Y Zhang1, J Zhu1, K Qing2, K Nie1, T Cui1, N Yue1, B Liu1, (1) Rutgers-Cancer Institute of New Jersey, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, (2) City of Hope National Medical Center, Duarte, CA |
| PO-GePV-T-69 | 4D Treatment Planning for Lung Proton Therapy: Treatment Design and Evaluation V T Taasti*, D Hattu, F Vaassen, R Canters, M Velders, J Mannens, J van Loon, I Rinaldi, M Unipan, W van Elmpt, Department of Radiation Oncology (MAASTRO), GROW - School for Oncology, Maastricht University Medical Centre+, Maastricht, The Netherlands. |
| PO-GePV-T-76 | Open Source TPS for Bragg Peak Proton FLASH Treatment Plans L Hotoiu1*, A Pin2, S Deffet3, E Sterpin3,4, R Labarbe5, (1) Ion Beam Applications SA, Louvain-la-neuve, WBR, BE, (2) Ion Beam Applications Sa, Louvain-la-neuve, WBR, BE, (3) Universite catholique de Louvain, Molecular Imaging Radiotherapy and Oncology MIRO, Louvain-la-Neuve, BE, (4) KULeuven, Laboratory of Experimental Radiotherapy Department of Oncology Faculty of Medicine, Leuven, BE, (5) Ion Beam Applications (IBA), Louvain-la-neuve, WBR, BE |
| PO-GePV-T-107 | Dosimetric Comparison for Unfavorable Early Stage Lung Cancer: Intensity Modulated Proton Therapy Versus Volumetric Arc Photon Therapy S O'Reilly*, P Singh, B Hartl, E Diffenderfer, K Cengel, W Levin, A Berman, S Feigenberg, University of Pennsylvania, Philadelphia, PA |
| PO-GePV-T-109 | Dosimetric Comparison of Pencil Beam Scanning Proton Plans with Different Aperture Modes Y Yuan1*, D DeBlois1, Y Chen1, C Frame1, D Pang1, (1) Department of Radiation Medicine, MedStar Georgetown University Hospital, Washington DC, DC |
| PO-GePV-T-115 | Should We Be Considering Biological Robustness in Proton Therapy? A Faught*, L Wilson, M Gargone, F Pirlepesov, V Moskvin, C Hua, St. Jude Children's Research Hospital, Memphis, TN |
| PO-GePV-T-142 | Automated Plan Checking Software Demonstrates Continuous and Sustained Improvements in Safety and Quality: A 3-Year Longitudinal Analysis S Liu*, D Stuhr, Y Zhou, H Pham, J Xiong, J Mechalakos, S Berry, Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-T-147 | Automated Verification of Treatment Parameter Transfer Between TPS and OIS Databases Via Direct Value Comparison W Donahue*, E Draeger, D Han, Z Chen, Yale University School of Medicine, New Haven, CT |
| PO-GePV-T-163 | Efficiency Analysis of the Automatic Plan Printing Application J Park1*, K O'grady1, L KUO1, W Fong1, W Yan2, R Lalonde3, L Cervino1, (1) Memorial Sloan Kettering Cancer Center, New York, NY (2) Carnegie Mellon University, Pittsburgh, PA, (3) University of Pittsburgh Medical Center, Pittsburgh, PA |
| PO-GePV-T-189 | Machine- and Site-Specific Analyses of TomoTherapy Patient-Specific QA Results Planned with Accuray Planning Station and RaySearch RayStation P Hill* and RA Bayliss, University of Wisconsin, Madison, WI, USA |
| PO-GePV-T-191 | Utilization of a Plan Quality Prediction Software to Investigate Patient Specific QA Passing Rates P Irmen1*, C Stambaugh2, C Melhus2, (1) Inova Health System, Fairfax, VA, (2) Tufts Medical Center, Boston, MA |
| PO-GePV-T-198 | Dosimetric Evaluation of Prostate VMAT Plans Optimized by the Photon and Progressive Resolution Optimization Algorithm J Chow1*, R Jiang2, K Mamaril3, (1) Princess Margaret Cancer Centre, Toronto, ON, CA, (2) Grand River Hospital, Kitchener, ON, CA, (3) Ryerson University, Toronto, ON, CA. |
| PO-GePV-T-201 | Automated and Clinical-Criteria-Driven Planning for Locally Advanced Non-Small-Cell Lung Cancer Using the Expedited Constrained Hierarchical Optimization (ECHO) System Q Huang, L Hong, Y Zhou*, G Jhanwar, J Yang, H Pham, E Yorke, L Cervino, J Deasy, M Zarepisheh, Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-T-202 | Monitor Unit Efficient VMAT Treatment Planning Facilitated by the MU Objective Tool M Ashenafi*, M Hare, C Rothfuss, H Zhang, University of Rochester, Rochester, NY |
| PO-GePV-T-206 | Using a Novel Leaf Sequencer and Segment Shape Optimization Algorithm to Reduce Treatment Session Times On the Elekta Unity J Snyder*, J St-Aubin, S Yaddanapudi, S Strand, S Kruger, R Flynn, D Hyer, University of Iowa Hospitals and Clinics, Iowa City, IA |
| PO-GePV-T-209 | An Evaluation of Complex Plan Quality Using RayStation’s Collapsed Cone Convolution (CCC) Algorithm as a Function of Differing Hardware Given a Time Constraint E DeLuca*, N Sperling, University of Toledo Medical Center, Sylvania, OH |
| PO-GePV-T-211 | Dosimetric Differences of Plans Using Flattened 6MV Versus Flattening-Filter-Free 10MV Beams for the Treatment of Prostate with and Without Seminal Vesicles M Ashenafi*, C Rothfuss, A Gray, H Zhang, University of Rochester, Rochester, NY |
| PO-GePV-T-212 | Evaluation of Elekta Unity IMRT Beam Complexity Using a Novel Leaf Sequencer and Shape Optimizer in the Monaco Treatment Planning System J St-Aubin*, J Snyder, S Yaddanapudi, R Flynn, D Hyer, University of Iowa Hospitals and Clinics, Iowa City, IA |
| PO-GePV-T-239 | API Driven Plan Scorecard Designer for the Evaluation of External Beam Planning Quality M Schmidt1,3*, M Folkerts2, C Abraham1, B Baumann1, N Knutson1, F Reynoso1, E Pryser1, E Sajo3, P Zygmanski4, M Jandel3, A Magliari2, (1) Washington University School of Medicine in St. Louis, Saint Louis, MO, (2) Varian Medical Systems, Palo Alto, CA (3) University of Massachusetts Lowell, Lowell, MA, (4) Brigham & Women's Hospital, Boston, MA |
| PO-GePV-T-247 | Planning Strategies for Whole Head-And-Neck Radiation with Robustness Against Shoulder Motion Using Volumetric-Modulated Arc Therapy J Cammin1*, T Bouton2, E Chacko2, B Zhang1, S Chen1, J Molitoris1, B Yi1, (1) University of Maryland, Baltimore, MD, (2) Maryland Proton Treatment Center, Baltimore, MD |
| PO-GePV-T-254 | The Future Is Here: An Inter-Comparative Study of AI and Human-Generated Plans Using Dosimetric Indices as a Guide to Plan Efficacy S Pokharel*, A Pacheco, S Tanner, GenesisCare, Naples, FLORIDA |
| PO-GePV-T-260 | Patient Treatment Transferability Between Unmatched Medical Linacs J Foy*, S Kucuker Dogan, I Das, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL |
| PO-GePV-T-261 | Development of a Progressive Plan Quality Evaluation Solution J Neylon*, J Hegde, S Mccloskey, J Lamb, University of California, Los Angeles, Los Angeles, CA |
| PO-GePV-T-263 | Evaluation of Treatment Plan Uncertainties for VMAT TBI I Duarte*, P Galavis, N Gerber, D Barbee, J Teruel, NYU Langone Health, New York, NY |
| PO-GePV-T-266 | Automated and Clinical-Criteria-Driven IMRT Planning for Prostate Using Expedited Constrained Hierarchical Optimization (ECHO) Y Zhou*, L Hong, Q Huang, G Jhanwar, J Yang, H Pham, L Happersett, A Damato, L Cervino, J Deasy, M Zarepisheh, Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-T-268 | Evaluation of Initial Planning Techniques in Ethos for Adaptive Head and Neck Patients N Nasser1,2*, J Caudell2, E Moros2, V Feygelman2, G Redler2, (1) University of South Florida, Tampa, FL, (2) H. Lee Moffitt Cancer Center, Tampa, FL |
| PO-GePV-T-272 | Implementation of An Automated Workflow for Planning Tangential Breast Radiotherapy T Keiper*, D Hoffman, K Kisling, UC San Diego, La Jolla, CA |
| PO-GePV-T-277 | Implementing Recommendations of TG 329 E Sudentas*, L Fu, C Teng, Mount Sinai West, New York, NY |
| PO-GePV-T-279 | PenMRT: A Multi-Scale Dose Calculation Engine for Microbeam Radiation Therapy S KESHMIRI*, S Brocard, N Rosuel, R Serduc, J Adam, INSERM UA 7 STROBE, Grenoble, France |
| PO-GePV-T-281 | Solving Beam Orientation Optimization (BOO) of IMRT Treatment Plan Using Tree Embedded Reinforcement Learning for Prostate Cancer A Sadeghnejad Barkousaraie*, A Balagopal, G Bohara, S Jiang, D Nguyen, UT Southwestern Medical Center, Dallas, TX |
| PO-GePV-T-284 | Feasibility Study of a Novel and Efficient Treatment Planning Technique for Total Body Irradiation and Total Marrow Irradiation On Conventional Linacs C Han*, S Dandapani, J Wong, A Liu, City of Hope Medical Center, Duarte, CA |
| PO-GePV-T-286 | Dosimetric Evaluation of Dose Accumulation in MIM and Pinnacle System M Liu1*, I Xhaferllari1, J Liang2, D Lack1, M Snyder2, (1) Beaumont Health System, Troy, MI, (2) Beaumont Health System, Royal Oak, MI |
| PO-GePV-T-292 | Dose Prediction Using Three-Dimensional Convolutional Neural Network for Nasopharyngeal Carcinoma with Tomotherapy Y Liu1,3*, G Zhang1, Z Chen2, J Wang3, X Wang3, B Qu3,4, S Xu3,4, (1) Beihang University, Beijing, BJ, CN, (2) Manteia Medical Technologies, Xiamen, CN, (3) PLA General Hospital, Beijing, BJ, CN, (4) Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, 100191, China; and Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology |
| PO-GePV-T-315 | Comparison of Secondary MU Calculation Softwares for Clinical Use: RadCalc and ClearCalc H Lee*, A Pompos, M Lin, UT Southwestern, Dallas, TX |
| PO-GePV-T-320 | Dosimetric Analysis of ElastoGel Bolus M Pacella*, M Webster, S Tanny, University of Rochester, Rochester, NY |
| PO-GePV-T-321 | Validation of Spatial Fractionated GRID Treatment Planning Using Volumetric Modulated Arc Therapy (VMAT) C Collins*, M Schwer, M Keefe, D Wazer, G Cardarelli, Rhode Island Hospital / Warren Alpert Medical, Providence, RI |
| PO-GePV-T-327 | Volumetric Axillary Boost (VMAB): Novel Planning for Nodal Coverage in Breast/Chestwall Patients W Duggar*, B Eske, D Deng, H Soysal, C Yang, University of Mississippi Med. Center, Jackson, MS |
| PO-GePV-T-336 | The 4D Composite Dose Study of the Breath Motion Effect During the Lung Stereotactic Body Radiotherapy (SBRT) Z Xia*, F Wang, Y Xu, J Xu, Kansas University Medical Center, Kansas City, KS |
| PO-GePV-T-362 | Investigation of Treatment Planning Strategies for Multi-Isocenter Intracranial stereotactic Radiosurgery I Rusu*, J Roeske, S Gros, A Solanki, H Kang, Loyola University Medical Center, Maywood, IL |
| PO-GePV-T-363 | Validation and Clinical Implementation of VMAT Liver SBRT On 6MV-FFF O-Ring Halcyon Linac T Tackett*, A Webster, M Bernard, M Kudrimoti, D Pokhrel, University of Kentucky, Lexington, KY |
| PO-GePV-T-380 | Direct Dosimetric Comparison of LINAC Vs GK FSRT for Large Brain Tumors Z Whiting1*, E Calugaru2, D Ma2, B Garcia1, M Keohane1, A Goenka2, J Chang2, (1) Hofstra University, Hempstead, Ny, (2) Northwell Health, Lake Success, NY |
| PO-GePV-T-389 | Dosimetric Impact of Peripheral MLC Leaves for Stereotactic Radiosurgery X Zhao*, E Covington, A Alexandrian, R Popple, University of Alabama at Birmingham, Birmingham, AL |
| PO-GePV-T-392 | Brain Stereotactic Radiosurgery Using MR-Guided Online Adaptive Planning to Daily Setup Variation: An End-To-End Test E Han1*, H Wang1, T Briere1, D Yeboa1, T Boursianis2, G Kalaitzakis2, E Pappas3, P Castillo1, J Yang1, (1) UT MD Anderson Cancer Center, Houston, TX, (2) University of Crete, Heraklion, GR, (3) University of West Attica, Greece, GR, |
| PO-GePV-T-408 | Can a Single Beam Model Be Used for SBRT Planning On Multiple Linear Accelerators? S Wang*, J Cunningham, S Devpura, K Snyder, C Smith, B Miller, S Gardner, Henry Ford Health System, Detroit, MI |
| PO-GePV-T-409 | A Trajectory Sampling Metric for the Optimization of Dose Distributions in Radiosurgery R MacDonald1*, J Lincoln2, C Church2, A Syme1235, C Thomas12345,(1) Department of Medical Physics, Nova Scotia Health Authority (2) Department of Physics and Atmospheric Science, Dalhousie University (3) Department of Radiation Oncology, Dalhousie University (4) Department of Radiology, Dalhousie University (5) Beatrice Hunter Cancer Research Institute |
| PO-GePV-T-420 | Dosimetric Comparison of Coplanar and Noncoplanar Beam Arrangements for Radiotherapy of Patients with Lung Cancer: A Meta-Analysis M Ma*, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, China, BeijingCN, |
| PO-GePV-T-422 | Characterization of Single-Dose Radiotherapy (SDRT) Performance in a New High-Speed Ring Gantry-Based LINAC System OM Oderinde1*, S Khan1, A Da Silva1, S Tian2, X Yang2, K Higgins2, SM Shirvani1, G Kuduvalli1, (1) RefleXion Medical, Hayward, CA,(2) Emory University, Atlanta, GA |
| PO-GePV-T-436 | Analysis of Preclinical IMRT Plan Quality Versus Number of Beam Angles D Olivera Velarde1*, E Pearson1, B Aydogan1, H Halpern1, G Redler2, B Epel1, J Slagowski1, (1) University of Chicago, Chicago, IL, (2) H. Lee Moffitt Cancer Center, Tampa, FL |
| SU-A-TRACK 6-1 | Curbing the Errors From Automated Tools Based On An FMEA of An AI-Based Treatment Planning System K Nealon1,2*, P Balter1,2, R Douglas2, D Fullen2, S Hernandez1,2, P Nitsch2, A Olanrewaju2, M Soliman2, L Court1,2, (1) UT MD Anderson UTHealth Graudate School of Biomedical Sciences, Houston, TX (2) The University Of Texas MD Anderson Cancer Center, Houston, TX, |
| SU-A-TRACK 6-2 | Generalizability Study of a Fluence Map Prediction Network L Ma*, M Chen, X Gu, W Lu, University of Texas Southwestern Medical Center, Dallas, TX |
| SU-B-TRACK 6-1 | A Fully Automated Approach for Labeling, Contouring, and Treatment Planning of Vertebral Bodies, Including Automatic Verification to Prevent Errors T Netherton*, C Nguyen, C Cardenas, C Chung, A Klopp, L Colbert, D Rhee, C Peterson, R Howell, P Balter, L Court, MD Anderson Cancer Center, Houston, TX |
| SU-B-TRACK 6-7 | Online Adaptive Radiotherapy: Assessment of Planning Technique and On-Table Adaptive Plan Quality K Mittauer1,2*, J Bryant1, A Gomez1, T Romaguera1,2, D Alvarez1,2, J McCulloch1,2, R Herrera1, D Doty1, M Mehta1,2, A Gutierrez1,2, M Chuong1,2, (1) Miami Cancer Institute, Baptist Health South Florida, Miami, FL, (2) Florida International University, Herbert Wertheim College of Medicine, Miami, FL |
| SU-CD-TRACK 5-0 | Advances in Automatic Segmentation, Treatment Planning and QA H Veeraraghavan1*, Q Wu2*, E Ford3*, S Jiang4*, (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) Duke University Medical Center, Durham, NC, (3) University of Washington, Seattle, WA, (4) UT Southwestern Medical Center, Dallas, TX |
| SU-CD-TRACK 5-1 | Deep Learning Automated Segmentation for Radiation Therapy Planning H Veeraraghavan1*, Q Wu2*, E Ford3*, S Jiang4*, (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) Duke University Medical Center, Durham, NC, (3) University of Washington, Seattle, WA, (4) UT Southwestern Medical Center, Dallas, TX |
| SU-CD-TRACK 5-2 | Automation in Treatment Planning Process H Veeraraghavan1*, Q Wu2*, E Ford3*, S Jiang4*, (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) Duke University Medical Center, Durham, NC, (3) University of Washington, Seattle, WA, (4) UT Southwestern Medical Center, Dallas, TX |
| SU-CD-TRACK 5-3 | Advances in Quality Assurance Through Automation H Veeraraghavan1*, Q Wu2*, E Ford3*, S Jiang4*, (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) Duke University Medical Center, Durham, NC, (3) University of Washington, Seattle, WA, (4) UT Southwestern Medical Center, Dallas, TX |
| SU-CD-TRACK 5-4 | Thoughts on The Clinical Implementation of AI Tools In Treatment Planning Process H Veeraraghavan1*, Q Wu2*, E Ford3*, S Jiang4*, (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) Duke University Medical Center, Durham, NC, (3) University of Washington, Seattle, WA, (4) UT Southwestern Medical Center, Dallas, TX |
| SU-D-TRACK 4-7 | Towards Closed-Loop Control Head Motion Correction with Soft Actuators in MRI-LINAC Systems O Ogunmolu*, R Wiersma, University of Pennsylvania, Philadelphia, PA |
| SU-E-TRACK 5-7 | Prediction of Organ-At-Risk Doses Using An Artificial Intelligence Algorithm: Clinical Validation and Estimated Benefit to Treatment Planning for Lung SBRT P Brodin1*, L Schulte2, D Pappas2, W Martin3, X Shen3, A Basavatia3, N Ohri1, M Garg1, S Kalnicki3, C Carpenter2, W Tome1, (1) Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, (2) Siris Medical, Newburyport, MA, (3) Montefiore Medical Center, New York, NY |
| SU-F-TRACK 5-1 | A Hierarchical Optimization Framework for Gamma Knife Treatment Planning M Chen*, Z Yang, Z Wardak, X Gu, W Lu, UT Southwestern Medical Center, Dallas, TX |
| SU-F-TRACK 5-2 | Assessing the Practicality of Using a Single KBP Model for Multiple Linac Vendors R Douglas*, A Olanrewaju, L Zhang, L Court, University of Texas MD Anderson Cancer Center, Houston, TX |
| SU-F-TRACK 5-4 | Toward Semi-Automatic Biologically Effective Dose Treatment Planning for Gamma Knife Radiosurgery T Klinge1,2,3*, H Talbot4, I Paddick5, S Ourselin3, J McClelland2, M Modat3, (1) Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, GB (2) Centre for Medical Image Computing, University College London, London,GB (3) School of Biomedical Engineering & Imaging Sciences, King's College London, London, GB (4) CentraleSupelec, Universite Paris-Saclay, Gif-sur-Yvette, FR (5) Queen Square Gamma Knife Centre, National Hospital for Neurology and Neurosurgery, London, GB |
| SU-IePD-TRACK 3-4 | A Deep Learning Approach for Contour Interpolation D Yang2*,C Zhao1, Y Duan1, H Li2, H Kim2, L Henke2, D Yang2, (1) University of Missouri, (2) Washington University School of Medicine, St. Louis, MO |
| SU-IePD-TRACK 3-4 | Ortho2D: An Accurate, Memory-Efficient Framework for 3D Vertebrae Labeling Y Huang1*, A Uneri2, C Jones3, X Zhang4, M Ketcha5, N Aygun6, P Helm7, J Siewerdsen8, (1) Johns Hopkins University, Department of Biomedical Engineering, Baltimore, MD, (2) Johns Hopkins University, Department of Biomedical Engineering, Baltimore, MD, (3) Johns Hopkins University, Department of Computer Science, Baltimore, MD, (4) Johns Hopkins University, Department of Biomedical Engineering, Baltimore, MD, (5) Johns Hopkins University, Department of Biomedical Engineering, Baltimore, MD, (6) Johns Hopkins University, Department of Radiology, Baltimore, MD, (7) Medtronic, Inc., Littelton, MA, (8) Johns Hopkins University, Department of Biomedical Engineering, Baltimore, MD |
| SU-IePD-TRACK 5-5 | Improved Dosimetric Performance of VMAT Total Marrow Irradiation Using Knowledge-Based Planning Approach K Ahn1,2*, M Koshy1,2, J Partouche2, D Rondelli1, P Patel1, Y Hasan2, H Liu2, B Aydogan2, (1) University of Illinois at Chicago, Chicago, IL, (2) University of Chicago, Chicago, IL |
| SU-IePD-TRACK 5-6 | Implementation of a Conditional Generative Adversarial Network for Automatic Prediction of 3D Dose Distributions in Prostate Cancer J Cunningham*, S Zhu, B Luo, Z Dai, N Wen, Henry Ford Health System, Detroit, MI |
| SU-IePD-TRACK 6-5 | A TPS Independent Automated Software to Detect Electron Applicator-Body Collisions D McClatchy1*, J Pursley1, C Holdsworth2, (1) Massachusetts General Hospital, Boston, MA, (2) Brigham and Women's Hospital, Boston, MA |
| TH-C-TRACK 5-1 | A Novel 4D Dose Accumulation Algorithm for Predicting Dose to Organs at Risk During Motion Synchronized Treatments On Radixact W Ferris*, W Culberson, J Bayouth, L DeWerd, University of Wisconsin, Madison, WI |
| TH-C-TRACK 5-3 | Influence of the Freedom in Table Rotation On Plan Quality, Deliverability, Delivery Time and Robustness of Dynamic Trajectory Treatment Plans H A Loebner1*, S Mueller1, W Volken1, G Guyer1, P Wallimann1, D M Aebersold1, M F M Stampanoni2, M K Fix1, P Manser1, (1) Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland CH, (2) Institute for Biomedical Engineering, ETH Zuerich and PSI, Villigen, Switzerland CH |
| TH-C-TRACK 5-4 | Management of Larger Number of Multiple Brain Metastases Patients Via Restricted Single Isocenter Stereotactic Radiosurgery (RESIST) Method A Palmiero*, W St Clair, M Randall, D Pokhrel, University of Kentucky, Lexington, KY |
| TH-C-TRACK 5-5 | Treatment of Gynecological Cancer Patients with Extended Fields (EF) Via Dual-Isocenter Volumetric Modulated Arc Therapy (VMAT) Using 6MV-FFF O-Ring Halcyon Linac D Pokhrel*, M Randall, D Fabian, University of Kentucky, Lexington, KY |
| TH-CD-TRACK 8-0 | Therapy: Adaptive Therapy AI Software Planning Systems D Schofield1*, N Dwivedi2*, A Schulte3*, N Dogan4*, L Schulte5*, (1) AdventHealth Orlando, Clermont, FL, (2) Mim Software, Inc., (3) TheraPanacea, Paris, FR, (4) University of Miami, Miami, FL, (5) Siris Medical |
| TH-CD-TRACK 8-1 | The Ghost in the Shell: Understanding How AI Can Improve Adaptive Radiation Therapy Workflows D Schofield1*, N Dwivedi2*, A Schulte3*, N Dogan4*, L Schulte5*, (1) AdventHealth Orlando, Clermont, FL, (2) Mim Software, Inc., (3) TheraPanacea, Paris, FR, (4) University of Miami, Miami, FL, (5) Siris Medical |
| TH-CD-TRACK 8-2 | Automated Adaptive Assessment Utilizing On-Board Imaging and Monte Carlo Dose Calculation D Schofield1*, N Dwivedi2*, A Schulte3*, N Dogan4*, L Schulte5*, (1) AdventHealth Orlando, Clermont, FL, (2) Mim Software, Inc., (3) TheraPanacea, Paris, FR, (4) University of Miami, Miami, FL, (5) Siris Medical |
| TH-CD-TRACK 8-3 | Background of ART-Plan™ Proposal for ART-Plan™ D Schofield1*, N Dwivedi2*, A Schulte3*, N Dogan4*, L Schulte5*, (1) AdventHealth Orlando, Clermont, FL, (2) Mim Software, Inc., (3) TheraPanacea, Paris, FR, (4) University of Miami, Miami, FL, (5) Siris Medical |
| TH-CD-TRACK 8-4 | Varian's Adaptive Planning Solution - Online or Offline D Schofield1*, N Dwivedi2*, A Schulte3*, N Dogan4*, L Schulte5*, (1) AdventHealth Orlando, Clermont, FL, (2) Mim Software, Inc., (3) TheraPanacea, Paris, FR, (4) University of Miami, Miami, FL, (5) Siris Medical |
| TH-CD-TRACK 8-5 | InsightRT: Automated Adaptive Therapy Decision Support and Insurance Authorization D Schofield1*, N Dwivedi2*, A Schulte3*, N Dogan4*, L Schulte5*, (1) AdventHealth Orlando, Clermont, FL, (2) Mim Software, Inc., (3) TheraPanacea, Paris, FR, (4) University of Miami, Miami, FL, (5) Siris Medical |
| TH-CD-TRACK 8-6 | Q&A D Schofield1*, N Dwivedi2*, A Schulte3*, N Dogan4*, L Schulte5*, (1) AdventHealth Orlando, Clermont, FL, (2) Mim Software, Inc., (3) TheraPanacea, Paris, FR, (4) University of Miami, Miami, FL, (5) Siris Medical |
| TH-D-TRACK 6-1 | 3D DenseNet for Improving Dose Prediction of Volumetric Modulated Arc Therapy in Prostate Cancer J Fu1*, K Singhrao1, Z Wang1, D Ruan1, D Low1, J Lewis2, X Qi1, (1) Department of Radiation Oncology, UCLA, Los Angeles, CA, (2) Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA |
| TH-D-TRACK 6-4 | Transfer Learning for Fluence Map Prediction in Adrenal Stereotactic Body Radiation Therapy W Wang1,2*, Y Sheng1, M Palta1, B Czito1, C Willett1, F Yin1,2, Q Wu1,2, Q J Wu1,2, Y Ge3, (1) Duke University Medical Center, Durham, NC, (2) Medical Physics Graduate Program, Duke University, Durham, NC, (3) University of North Carolina at Charlotte, Charlotte, NC |
| TH-D-TRACK 6-5 | How Fluence-Prediction Error Impact Final Plan Quality: Insights Into a Deep-Learning-Based (DL-Based) Head-And-Neck (H&N) IMRT Planning AI Agent X Li1*, QJ Wu1, Q Wu1, C Wang1, Y Sheng1, W Wang1, H Stephens1, F Yin1, Y Ge2, (1) Duke University Medical Center, Durham, NC, (2) University of North Carolina at Charlotte, Charlotte, NC |
| TH-D-TRACK 6-6 | Feasibility Study of Cross-Modality IMRT Auto-Planning Guided by a Deep Learning Model G Szalkowski*, X Xu, S Das, P Yap, J Lian, University of North Carolina, Chapel Hill, NC |
| TH-E-TRACK 5-6 | Dosimetric Comparison of HDR Surface Applicator Brachytherapy Between TG-43 and TG-186 for Angiosarcoma of the Scalp and Face TC Harris*, D O'Farrell, MB Lam, EH Baldini, PM Devlin, I Buzurovic, Department of Radiation Oncology, Brigham and Women's Hospital, Dana Farber Cancer Institute and Harvard Medical School, Boston, MA, USA |
| TH-E-TRACK 5-7 | Generation of 3D Dosimetric Reference Datasets Using Model-Based Dose Calculations for COMS Eye Plaque Brachytherapy E Fletcher1*, F Ballester2, L Beaulieu3, Y Ma3, H Morrison4, M Rivard5, R Sloboda6, J Vijande2, R Thomson1, (1) Carleton University, Ottawa, ON, CA, (2) University of Valencia (UV-IFIC-IRIMED), Burjassot, ES, (3) CHU de Quebec - Universite Laval, Quebec, QC, CA, (4) Tom Baker Cancer Centre, Calgary, AB, CA, (5) Rhode Island Hospital / Brown University, Providence, RI, USA, (6) Cross Cancer Institute, Edmonton, AB |
| TH-E-TRACK 6-2 | Dose Kernel Decomposition for GammaKnife and GammaPod Treatment Planning M Chen*, Z Yang, Z Wardak, X Gu, W Lu, UT Southwestern Medical Center, Dallas, TX |
| TH-E-TRACK 6-5 | Demonstrating the Practical Limitation of a Previously Validated Knowledge-Based Planning Model for SIB Lung SBRT of Large (> 5 Cm) Tumors J Visak*, A Webster, M Kudrimoti, R McGarry, M Randall, D Pokhrel, University of Kentucky, Lexington, KY |
| TH-E-TRACK 6-7 | Using Deep Learning Framework (pytorch) for Circular Cone Treatment Planning of CyberKnife System B Liang1*, R Wei1, Y Li2, B Liu3,4, S Xu5, F Zhou3,4, Q Wu6, J Dai1, (1) National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, Beijing, CN, (2) 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, CN, (3) Image Processing Center, Beihang University, Beijing, CN, (4) Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, CN, (5) Chinese PLA General Hospital, Beijing, Beijing, CN, (6) Duke University Medical Center, Durham, NC |
| TH-F-TRACK 4-4 | Head-And-Neck IMRT Auto-Planning Through Fluence Map Prediction Using Progressive Growing of Generative Adversarial Networks X Li1*, QJ Wu1, Q Wu1, C Wang1, Y Sheng1, W Wang1, H Stephens1, F Yin1, Y Ge2, (1) Duke University Medical Center, Durham, NC, (2) University of North Carolina at Charlotte, Charlotte, NC |
| TH-F-TRACK 5-3 | An International Validation of Knowledge-Based Planning A Babier1*, B Zhang1, R Mahmood1, V G L Alves2, A Barragan Montero3, J Beaudry4, C Cardenas5, Y Chang6, Z Chen7, J Chun8, H Eraso9, E Faustmann10, S Gaj11, S Gay5, M Gronberg5, J He12, G Heilemann13, S Hira14, Y Huang15, F Ji16, D Jiang16, J Jimenez Giraldo9, H Lee17, J Lian18, K Liu19, S Liu16, K Marixa9, J Marrugo9, K Miki20, T Netherton5, D Nguyen21, H Nourzadeh22, A Osman23, Z Peng6, J Quinto Munoz9, C Ramsl10, D Rhee5, J Rodriguez Arciniegas9, H Shan24, J V Siebers2, M H Soomro2, K Sun25, A Usuga Hoyos9, C Valderrama9, R Verbeek26, E Wang7, S Willems27, Q Wu16, X Xu18, S Yang28, L Yuan29, S Zhu30, L Zimmermann13, K L Moore31, T G Purdie32, A L McNiven32, T C Y Chan1, (1) University of Toronto, Toronto, CA, (2) University of Virginia Health System, Charlottesville, VA, (3) Universite Catholique de Louvain, Brussels, BE, (4) Memorial Sloan Kettering Cancer Center, New York, NY, (5) University of Texas MD Anderson Cancer Center, Houston, TX, (6) University of Science and Technology of China, Hefei, ,CN, (7) WolHelp Technology (Shenzhen) Co Ltd, CN, (8) Yonsei University, Seoul, KR, (9) National University Of Colombia, CO, (10) Vienna University Of Technology, Vienna, AT, (11) Cleveland Clinic, Cleveland, OH, (12) Shanghai Jiao Tong University, Shanghai, CN, (13) Medical University Of Vienna, Vienna, AT, (14) Johns Hopkins University, Baltimore, MD, (15) Peking University Cancer Hospital & Institute, Beijing, CN, (16) Anhui University, Hefei, CN, (17) Massachusetts General Hospital, Boston, MA, (18) University of North Carolina, Chapel Hill, NC, (19) Taiwan Ai Labs, Taipei, TW, (20) Hiroshima University, Hiroshima, JP, (21) UT Southwestern Medical Center, Dallas, TX, (22) Thomas Jefferson University, Philadelphia, PA, (23) Al-Neelain University, Khartoum, SD, (24) Fudan University, Shanghai, CN, (25) Studio Vodels, Atlanta, GA, (26) Aalto University, Espoo, FI, (27) KU Leuven, Leuven, BE, (28) Sichuan University, Chengdu, CN, (29) Virginia Commonwealth University Medical Center, Richmond, VA, (30) Henry Ford Health System, Detroit, MI (31) UC San Diego, La Jolla, CA, (32) Princess Margaret Cancer Centre, Toronto, CA |
| TH-F-TRACK 5-6 | Understanding Physician's Preference in Treatment Planning of Stereotactic Body Radiation Therapy of Prostate Cancer Y Gao*, C Shen, Y Gonzalez, X Jia, The University of Texas Southwestern Medical Center, Dallas, TX |
| TH-F-TRACK 6-2 | Predicting the Efficacy of Spacer Placement for Pancreatic Cancer Using a Novel Patient-Specific Virtual Spacer H Hooshangnejad 1*, K Ding2, (1) Johns Hopkins University, School of Medicine, Biomedical Engineering, Baltimore, MD, (2) Johns Hopkins University, School of Medicine, Radiation Oncology and Molecular Radiation Sciences, Baltimore, MD |
| TH-F-TRACK 6-4 | Single-Isocenter/Multi-Target (SIMT) SRS to Multiple Brain Lesions Via Dynamic Conformal Arcs (DCA)-Based VMAT with MLC Aperture Shape Controller S Land*, A Palmiero, M Bernard, D Pokhrel, University of Kentucky, Lexington, KY |
| TH-F-TRACK 7-0 | Using Automation to Improve Linac-Based VMAT for Total Body Irradiation (TBI) B Guo1*, N Kovalchuk2*, X Gu3*, (1) Cleveland Clinic Foundation, Cleveland, OH, (2) Stanford University Cancer Center, Palo Alto, CA, (3) UT Southwestern Medical Center, Dallas, TX |
| TU-A-TRACK 6-7 | Survival Prediction Models for Patients with Malignant Pleural Mesothelioma After Adjuvant Radiotherapy Z Wang1*, V Li2, X Qi3, (1) UCLA School of Medicine, Los Angeles, CA, (2) USC Dornsife College of Letters, Arts and Sciences, Los Angeles, CA, (3) UCLA School of Medicine, Los Angeles, CA |
| TU-B-TRACK 6-4 | Performance Evaluation of An Optimization Method for Fluence-Modulated Proton CT with Dose and Variance Objectives J Dickmann1, F Kamp2, M Hillbrand3, S Corradini4, C Belka5, R Schulte6, K Parodi7, G Dedes8, G Landry9*, (1) Ludwig-Maximilians-Universitat Munchen, Garching Bei Munchen, BY, DE, (2) Cologne, NW, (3) Kantonsspital Graubunden,(4) University Hospital, Lmu Munich,(5) No institution provided,(6) Loma Linda University, Loma Linda, CA, (7) Ludwig-Maximilians-Universitat Munchen, Garching B. Munich, (8) Ludwig-Maximilians-Universitat Munchen, Munich, DE, (9) Ludwig-Maximilians-Universitat Munchen, Munich, DE |
| TU-C-TRACK 4-3 | BEST IN PHYSICS (MULTI-DISCIPLINARY): Lung Treatment Planning with Parametric Response Mapping Function Guidance C K Matrosic*, D R Owen, D Polan, Y Sun, S Jolly, C Schonewolf, M Schipper, R Ten Haken, C Galban, M Matuszak, University of Michigan, Ann Arbor, MI |
| TU-IePD-TRACK 3-7 | Development of a Deep Learning Model That Can Create Multiple Auto-Plans Prioritizing Different Clinical Goals to Facilitate Decision Making in Complex Pancreatic VMAT with Dose Painting Y Wang*, J Wo, T Hong, Department of Radiation Oncology Massachusetts General Hospital, Harvard Medical School, Boston, MA |
| TU-IePD-TRACK 5-2 | 4D Robust Optimization in Small Spot Intensity-Modulated Proton Therapy (IMPT) for Distal Esophageal Carcinoma H Feng*, J Shan, J Ashman, W Rule, R Bhangoo, N Yu, J Chiang, M Fatyga, W Wong, S Schild, T Sio, W Liu, Mayo Clinic Arizona, Phoenix, AZ |
| WE-A-TRACK 6-3 | Robust Optimization of Proton Therapy Treatments Using a Variable Range Uncertainty M Cohilis1*, E Sterpin1,2, C Chang3, S Rivas1, L Lin4, J Lee1, K Souris1, (1) UCLouvain, Brussels, BE, (2) KU Leuven, Leuven, BE (3) Emory University, Alpharetta, GA (4) Emory Proton Therapy Center, Atlanta, GA |
| WE-A-TRACK 6-4 | The Effect of Treatment Planning Approach On Head-And-Neck IMPT for Patients with Implanted Dental Fixtures Y Hu1*, O Muller2, R Foote1, D Mundy1, (1) Mayo Clinic, Department of Radiation Oncology, Rochester, MN, USA(2) Mayo Clinic, Department of Advanced Prosthodontics, Rochester, MN, USA |
| WE-C-TRACK 3-3 | Evaluation of MRI-Only Treatment Planning (MRTP) Quality for Gynecologic HDR Brachytherapy Using PETRA Sequence CY Lee*, E Kaza, TC Harris, DA O'Farrell, MT King, RA Cormack, I Buzurovic, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA |
| WE-E-TRACK 6-5 | Commissioning and Clinical Implementation of a Hybrid TG-43 Technique for Shielded Brachytherapy Applicators E Choi, C Collins*, M Rivard, Brown University/Rhode Island Hospital, Providence, RI |
| WE-F-TRACK 6-7 | Computational Prediction of Symptomatic RP Based On Planning Computed Tomography Images Using Topologically Invariant Betti Numbers Prior to Stereotactic Body Radiation Therapy K Ninomiya1*, H Arimura1, T Yoshitake2, T Hirose2, Y Shioyama3, (1) Kyushu University, Fukuoka, JP (2) Kyushu University Hospital, Fukuoka, JP (3) SAGA HIMAT Foundation, Saga, JP |
| WE-IePD-TRACK 4-3 | Improving the Performance of a Proton Computed Tomography Scanner with An Empirical Artifact Correction Method G Landry*6,7,1, J Dickmann1, C Sarosiek2, S Goetz1, M Pankuch3, G Coutrakon2, R P Johnson4, R W Schulte5, K Parodi1, G Dedes1, (1) Ludwig-Maximilians-Universitaet Muenchen, Munich, Germany, (2) Northern Illinois University, DeKalb, IL, (3) Northwestern Medicine Chicago Proton Center, Warrenville, IL, (4) U.C. Santa Cruz, Santa Cruz, CA, (5) Loma Linda University, Loma Linda, CA, (6) University Hospital, LMU Munich, Munich, Germany, (7) German Cancer Consortium (DKTK), Munich, Germany |
| WE-IePD-TRACK 5-2 | 3D Dosimetry of Lung and Cardiac Shielding for Total Body Irradiation M Glenn*, K Wallner, S Luk, M Phillips, Y Tseng, R Ermoian, M Kim, University of Washington, Seattle, WA |
| WE-IePD-TRACK 5-4 | Sensitivity of IMRT and VMAT Dose Calculation to Changes in MLC Parameters S Gardner*, S Wang, K Snyder, C Smith, B Miller, I Chetty, Department of Radiation Oncology, Henry Ford Cancer Institute, Henry Ford Health System, Detroit, MI |
| WE-IePD-TRACK 5-6 | Feasibility of Using 6MV-FFF Halcyon RDS for Single-Isocenter/Two-Lesion Lung SBRT A Webster*, J Visak, M Bernard, R McGarry, M Kudrimoti, D Pokhrel, University of Kentucky, Lexington, KY |
| WE-IePD-TRACK 5-6 | Robust Alternating RBE- and LET-Weighted Beam Orientation and Fluence Map Optimization for Intensity Modulated Proton Therapy P Ramesh1*, Q Lyu1, W Gu2, D Ruan1, K Sheng1, (1) UCLA School of Medicine, Los Angeles, CA, (2) University of Pennsylvania, Philadelphia, PA |
| WE-IePD-TRACK 6-7 | Double-Vertebral Segment SBRT Via Novel Ring-Mounted Halcyon Linac: Plan Quality, Delivery Efficiency and Accuracy J Stephen*, A Webster, M Bernard, D Pokhrel, University of Kentucky, Lexington, KY |