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A B C D E F G H I J K L M N O P Q R S T U V W X Y Z # | show all

Keywords: treatment planning
BReP-SNAP-M-23D Intrafraction Assessment of Pelvis and Abdominal Gastrointestinal Peristalsis in MR-Guided Online Adaptive Radiotherapy (MRgoART)
K Mittauer1*, R Herrera2, M Chuong1, T Romaguera1, D Alvarez1, D Doty1, J Bryant2, A Bone1, R Kotecha1, M Hall1, N Kalman1, M Mehta1, J Contreras1, A Gutierrez1, (1) Miami Cancer Institute, Miami, FL, (2) Florida International University, Miami, FL
BReP-SNAP-M-4A Comprehensive Framework for Radiotherapy Treatment Plan Quality Evaluation in Large Multiple Institution Dataset
L Yuan*, R Kapoor, W Sleeman, M Hagan, J Palta, M Rosu-Bubulac, Virginia Commonwealth University, Richmond, VA
BReP-SNAP-M-21Automatic CT Segmentation for Radiotherapy Treatment Planning: How Good Is Good Enough?
W S Ingram*, L Dong, University of Pennsylvania, Philadelphia, PA
BReP-SNAP-M-22Automatic Detection of Dental Artifact in a Fully-Automated Treatment Planning Workflow
S Hernandez*, C Sjogreen, S Gay, T Netherton, A Olanrewaju, C Nguyen, D Rhee, J Mendez, L Court, C Cardenas, MD Anderson Cancer Center, Houston, TX
BReP-SNAP-M-31Can Machine Learning Optimization (MLO) Auto Planning Clinically Replace Multi-Criteria Optimization (MCO) Manual Planning in Complex Pancreatic VMAT with Dose Painting?
Y Wang*, H Prichard, J Wo, T Hong, Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
BReP-SNAP-M-41Comparison and Validation of Distortion Correction On a Low-Field MR-Guided Radiotherapy System
Y Gao*, J Pham, A Kalbasi, A Raldow, P Hu, Y Yang, University of California, Los Angeles, Los Angeles, CA
BReP-SNAP-M-71Exploration of Potential Parameters That Influence When to Replan Head and Neck Cancer Patients
A Andrade*, G Shenouda, J Kildea, McGill University, Montreal, QC, CA
BReP-SNAP-M-80Hard Constraint Approximation for Deep Learning in Radiation Therapy
R McBeth*, M Lin, A Godley, S Jiang, D Nguyen, UT Southwestern Medical Center, Dallas, TX
BReP-SNAP-M-90Incorporating Explicit Dose-Volume Constraints in Deep Learning Improves Prediction of Deliverable Dose Distributions for Prostate VMAT Planning
S Willems1*, L Vandewinckele1, E Sterpin2, K Haustermans3, W Crijns3, F Maes1, (1) KU Leuven, BE (2) KU Leuven/UC Louvain, BE (3) KU Leuven/UZ Leuven, BE
BReP-SNAP-M-91Incorporating GTV Information in a Multi-Stage Process to Improve Automatically Generated Field Apertures for Rectal Cancer Radiotherapy
K Huang*, P Das, L Zhang, M Amirmazaheri, C Nguyen, D Rhee, T Netherton, S Beddar, T Briere, D Fuentes, E Holliday, L Court, C Cardenas, MD Anderson Cancer Center, Houston, TX
BReP-SNAP-M-105Multi-Strategy Machine Learning Auto Planning for Liver SBRT: Improving Quality, Consistency and Efficiency for a Complex Treatment
H Prichard*, J Wo, T Hong, Y Wang, Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
BReP-SNAP-M-106Novel Angle Descriptor Projection Overlap Volume for Improved Quality Assurance of Lung Cancer Radiotherapy Treatment Plans
J Zhang1*, Y Yang2, Y Chen2, J Zhang3, M Chen2, (1) The Hong Kong Polytechnic University, Hung Hom, Kowloon, HKSAR, (2) Zhejiang Cancer Hospital, University Of Chinese Academy Of Sciences, Hangzhou, Zhejiang, CHN, (3) Duke University Medical Center, Durham, NC
BReP-SNAP-M-151Variable Margin Expansion to Account for MR Image Distortion in Treatment Planning
R Mumme*, C Nguyen, A Olanrewaju, P Castillo, J Wang, X Wang, C Cardenas, L Court, M Martel, J Yang, University of Texas MD Anderson Cancer Center, Houston, TX
BReP-SNAP-T-12A Method for Automatic Optimization of Breast Electronic Tissue Compensation Treatment Plans Based On the Breast Radius and Separation
A Podgorsak1,2*, L Kumaraswamy3, (1) University at Buffalo, Buffalo, NY, (2) Roswell Park Comprehensive Cancer Center, Buffalo, NY, (3) Novant Health, Winston-Salem, NC
BReP-SNAP-T-19Accelerated Multi-Criterial Optimization for Pancreas SBRT Using Machine-Learning Dose Prediction
P. James Jensen*, Jiahan Zhang, Q. Jackie Wu, Duke University Medical Center, Durham, NC
BReP-SNAP-T-34Commissioning and Validation of RayStation Treatment Planning for TomoTherapy Delivery Systems
P Hill*, RA Bayliss, J Huang, M Lawless, Z Labby, J Smilowitz, University of Wisconsin, Madison, WI
BReP-SNAP-T-36Comparison of Pareto Surface Interpolations for Multi-Criterial Optimization Algorithm Evaluation
P. James Jensen1,2*, Jiahan Zhang2, Q. Jackie Wu2, (1) Duke University Medical Center, Durham, NC, (2) Duke University Medical Center, Durham, NC
BReP-SNAP-T-41Development and Customization of the RayStation Automatic Breast Planning Module: A Program to Adapt the Provided Module to Suit Clinical Needs
C Collins*, M Kaluarachchi, E Yu, J Hepel, M Schwer, Brown University Warren Alpert Medical School/Rhode Island Hospital, Providence, RI
BReP-SNAP-T-43Development of An Imaging and Treatment Planning System for Small Animal Radiation Research
H Liu1*, Y Zhong1, X Jia1, (1) University of Texas Southwestern Medical Center, Dallas, TX
BReP-SNAP-T-84Improving Plan Quality Through Automation of Treatment Planning Processes Using Scripting in RayStation
G Jarry*, M Ayles, M Brunet-Benkhoucha, D Martin, Hopital Maisonneuve-Rosemont, Montreal, CA,
BReP-SNAP-T-97Lesion Specific Asymmetric Rotational Margins for Targets Remote From Isocenter
C Dial*, V Sarkar, A Paxton, G Nelson, B Salter, University of Utah, Salt Lake City, UT
BReP-SNAP-T-108ORBIT-RT: A Real-Time, Open Platform for Knowledge-Based Quality Control of Radiotherapy Treatment Planning
B Covele*, K Puri, K Kallis, K Moore, UC San Diego, La Jolla, CA
BReP-SNAP-T-114Predicting Optimal Plan Dose Distributions of Total Marrow Irradiation Using Deep Learning Model
D Du*, J Neylon, J Wong, A Liu, City of Hope Medical Center, Duarte, CA
BReP-SNAP-T-128The Gantry-Static Couch-Motion Optimization (GsCMO) Technique for Partial Breast Irradiation Reduced Dose to Organs-At-Risk and Improved Plan Quality
G Gill1,4>/sup>*, R Jakubovic2, J Baker3, T Button4, J Chang5, (1) Long Island Jewish Medical Center, NY, Lake Success, NY, (2) Hamilton Health Sciences/Walker Family Cancer Centre, St Catharines, ON, CA, (3) Zucker School of Medicine at Hofstra/Northwell, Lake Success, NY, (4) University Hospital, Stony Brook, NY, (5) Northwell Health and Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Lake Success, NY
BReP-SNAP-T-132Towards a Treatment Planning Optimization Framework Utilizing Predicted Quality Assurance Outcomes From a Machine Learning Model to Maximize Plan Quality and Deliverability
P Wall1*, J Fontenot1,2, (1) Louisiana State University, Baton Rouge, LA, (2) Mary Bird Perkins Cancer Center, Baton Rouge, LA
BReP-SNAP-T-138Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy
G Bohara*, A Sadeghnejad Barkousaraie, S Jiang, D Nguyen, UT Southwestern Medical Center, Dallas, TX
BReP-SNAP-T-140VMAT Simultaneous Integrated Total Marrow and Total Body Irradiation (SIMBA)
DN Stanley1*, KA McConnell2, A Everett1, J Dodson1, K Keene1, A Mcdonald1, (1) The University of Alabama at Birmingham, Birmingham, AL, (2) UC San Diego, San Diego, CA
BReP-SNAP-T-141What Knowledge-Based Dose Prediction Models Tell Us About Ovoid Vs. Ring Based Brachytherapy Applicators
K Kallis*, B Covele, A Simon, D Brown, D Scanderbeg, K Kisling, C Yashar, J Einck, L Mell, J Mayadev, K Moore, S Meyers, UC San Diego, La Jolla, CA
MO-CD-TRACK 1-1An Artificial Intelligence-Driven Agent for Rapid Head-And-Neck IMRT Plan Generation Using Conditional Generative Adversarial Networks (cGAN)
X Li1*, Y Sheng1, J Zhang1, W Wang1, F Yin1, Q Wu1, Y Ge2, Q Wu1, C Wang1, (1) Duke University Medical Center, Durham, NC, (2) University of North Carolina at Charlotte, Charlotte, NC
MO-EF-TRACK 3-10DeepMCDose: Variance-Reduced Monte Carlo Beamlet Dose Prediction for Accelerated Online-Adaptive MRI-Guided Treatment Planning
R Neph*, Q Lyu, Y Huang, Y Yang, K Sheng, UCLA School of Medicine, Los Angeles, CA
PO-GeP-I-48Characterization of Liver and Pancreatic Tumor Motion Using Real-Time Planar Cine MR Images
D Gunasekara1*, J Darko1, E Osei1, B Maraghechi2, T Mazur2, H Li2, (1) Grand River Regional Cancer Center, Kitchener, ON, CA, (2) Washington University School of Medicine, St. Louis, MO, USA
PO-GeP-M-12A Deep Reinforcement Learning Based Neural Network for Beam Orientation Selection Problem in the Treatment Planning of the IMRT Prostate Cancer
A Sadeghnejad Barkousaraie, G Bohara, S Jiang, D Nguyen, D Nguyen*, UT Southwestern Medical Center, Dallas, TX
PO-GeP-M-14A Feasibility Study On the Development of a Deep Learning-Based Whole Brain Irradiation Automated Dose Calculation Algorithm
A Jaffe*, J Keller, Thomas Jefferson University, Philadelphia, PA
PO-GeP-M-15A Framework for Iso-Toxic Adaptive Replanning Using Biophysical Models
P Prior*, X Chen, XA Li, Medical College of Wisconsin, Milwaukee, WI
PO-GeP-M-29A Novel Methodology for Deriving Set-Up Margins Using Dose Accumulation and Bidirectional Local Distance
A Frederick1,2*, S Quirk1,2, S Weppler1,2, M Roumeliotis1,2, (1) University of Calgary, Calgary, AB, CA, (2) Tom Baker Cancer Centre, Calgary, AB, CA
PO-GeP-M-39A Study of Using Modulation Complexity Score as a Clinical Decision Aid for VMAT-Based Pancreas SBRT Treatment Planning
Y Zlateva*, X Li, F Yin, Q Wu, C Wang, Duke University Medical Center, Durham, NC
PO-GeP-M-42Abdominal Synthetic CT Reconstruction Using Intensity Projection Prior for MRI-Only Adaptive Radiotherapy
S Olberg1,2*, J Chun1,3, B Choi1,3, I Park1,3, H Kim1, T Kim1, J Kim3, O Green1, J Park1,2,3, (1) Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO, (2) Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, (3) Department of Radiation Oncology, Yonsei University College of Medicine, Seoul, KR
PO-GeP-M-46Adaptive Treatment Replanning with a Commercial Field-In-Field Optimization Platform
C K Matrosic*, K C Paradis, M M Matuszak, University of Michigan, Ann Arbor, MI
PO-GeP-M-72Assessment of Need for MR Guidance in Adaptive RT
A Sethi*, E Omari, J Ingram, K Stoeckigt, T Thomas, J Roeske, T Refaat, R Wynn, Loyola Univ Medical Center, Maywood, IL
PO-GeP-M-110Comparison of Artificial Intelligence Based Decision Support Tool for Head and Neck Treatment Planning
R McBeth*, D Nguyen, H Wang, R Norouzi-Kandalan, m mashayekhi, X Zhong, Z Iqbal, A Godley, S Jiang, M Lin, UT Southwestern Medical Center, Dallas, TX
PO-GeP-M-112Comparison of Contour-Based, Image-Based, and Contour-Image-Based Deformable Image Registration for Adaptive Re-Planning
K Kainz*, H Zhong, A Tai, E Ahunbay, X Li, Medical College of Wisconsin, Milwaukee, WI
PO-GeP-M-139Deep Proton DoseNet: A Deep Neural Network for Proton Dose Distribution Image Super-Resolution
Y Nomura1*, T Matsuura1, H Shirato1, S Shimizu1, L Xing1,2, (1) Hokkaido University, Sapporo, Hokkaido, Japan, (2) Stanford University, Palo Alto, CA
PO-GeP-M-168Dosimetric Analysis of Automated Treatment Planning for Whole Brain Radiotherapy with A Deep Learning Approach
E Han*, C Cardenas, C Nguyen, T Briere, j Li, D Yeboa, C Wang, L Court, M Martel, Z Wen, University of Texas MD Anderson Cancer Center, Houston, TX
PO-GeP-M-174Dosimetric Impact of Magnetic Resonance Imaging Distortion in Photon and Proton Treatment Plans
Y Yan1*, J Yang2, F Pirlepesov1, Y Ding2, J Uh1, L Zhao1, T Merchant1, J Wang2, C Hua1, (1) St. Jude Children's Research Hospital, Memphis, TN, (2) MD Anderson Cancer Center, Houston, TX
PO-GeP-M-175Dosimetric Planning Comparison for Left-Sided Breast Cancer Radiotherapy: 4DCT Vs Deep-Inspiration Breath-Hold
O Chau*1,2, H Fakir1,2, M Lock1,2, R Dinniwell1,2, F Perera1,2, A Erickson1, S Gaede1,2,(1) London Regional Cancer Program, London, ON,CA,(2) Western University, London, ON, CA
PO-GeP-M-197Evaluation of a Novel Automated Treatment Planning Tool for Cervical Cancer in IMRT
J Guo*, J Zhou, L Chen, J Ni, Y Xu, G Gan, W Gon, C Ma, Y Li, W Zhan, X Xu, S Qin, The first affiliated hospital of Soochow University, Suzhou, JiangsuCN,
PO-GeP-M-202Evaluation of Machine Learning Algorithms for Treatment Planning Parameter Calculation
J Chow1*, R Jiang2, F Ng3, (1) Princess Margaret Cancer Centre, Toronto, ON, CA, (2) Grand River Hospital, Kitchener, ON, CA, (3) Ryerson University, Toronto, ON, CA
PO-GeP-M-210Evaluation of T2-Weighted MRI Pulse Sequences for Visualization and Sparing of Urethra with MR-Guided Radiation Therapy (MRgRT) On-Board MRI
J Pham*, R Savjani, Y Gao, M Cao, P Hu, D Low, M Steinberg, A Kishan, Y Yang, UCLA, Los Angeles, CA
PO-GeP-M-220Feasibility of Knowledge-Based Planning to Improve Online Adaptive Stereotactic Body Radiation Therapy for Hepatocellular Carcinoma
K Dess1*, J Dow2, K Paradis (Younge)2, J Burmeister1, M Matuszak2, (1) Wayne State Univ School of Medicine, Detroit, MI, (2) University of Michigan, Ann Arbor, MI
PO-GeP-M-222Feasibility of Pseudo 4pi Approach for Stereotactic Radiosurgery On a Linear Accelerator with On-Board MRI
E Omari*, E Melian, S Hoffman, T Thomas, K Stoeckigt, J Ingram, A Sethi, T Refaat, J Roeske, I Rusu, Loyola University Chicago, Maywood, IL
PO-GeP-M-228Functional Programming and Immutable Data in Treatment Planning Systems
N Depauw*, T Madden, H Kooy, Massachusetts General Hospital, Boston, MA
PO-GeP-M-254Improving Accuracy of Predicted Lung Dosimetry in 90Y-Microsphere Radioembolization with 99mTc-MAA Planar Scintigraphy
B Lopez1*, A Mahvash1, J Long1, M Lam2, S Kappadath1, (1) University of Texas MD Anderson Cancer Center, Houston, TX, USA (2) University Medical Center, Utrecht, NL
PO-GeP-M-280Learned Delineation of Gross Tumor Volume Incorporating Intra-Observer Variability
T Marin*, C Ma, R Lahoud, F Xing, P Wohlfahrt, M Moteabbed, J Woo, X Ma, K Grogg, Y Chen, G El Fakhri, Massachusetts General Hospital, Boston, MA
PO-GeP-M-281Learning Clinical Expertise Using Deep 3D Networks: An Automated Clinical Target Volume (CTV) Delineation for Non-Small Cell Lung Cancer (NSCLC) Patients
Y Xie1*, K Kang2, Y Wang3, F Keane4, M Khandekar5, H Willers6, T Bortfeld7, (1) Massachusetts General Hospital, Boston, MA, (2) Bio-tree System, Inc., ,,(3) Massachusetts General Hospital, Boston, MA, (4) Massachusetts General Hospital, ,,(5) Massachusetts General Hospital, ,,(6) Massachusetts General Hospital, Boston, MA, (7) Massachusetts General Hospital, Boston, MA
PO-GeP-M-288Low Cost MRI Geometric Distortion Phantom Made From Paintballs and Pourable Foam
B Rasmussen*, X Du, R Milano, UP Health System - Marquette General Hospital, Marquette, MI
PO-GeP-M-311Offline Assessment and Adaptation of Prostate and Head-And-Neck Radiotherapy Using Velocity
M Hyun1*, A Smith2, P Patel1, W Nie1, S Wisnoskie1, (1) University of Nebraska Medical Center, Omaha, NE, (2) West Virginia University, Morgantown, WV
PO-GeP-M-346Quantification of Intra- and Interfractional Target Motion and Deformation in Gastric Cancer Radiotherapy
M Bleeker1*, S Lie1, A Bel1, J-J Sonke1,2, MCCM Hulshof1, A van der Horst1, (1) Amsterdam UMC, University of Amsterdam, Radiation Oncology, Meibergdreef 9, Amsterdam, NL, (2) Netherlands Cancer Institute, Radiation Oncology, Amsterdam, NL
PO-GeP-M-367Region Specific Dose Prediction Using Deep Neural Networks: A Feasibility Study On the Planning Target Volume of Prostate IMRT Patients
D Nguyen*, S Jiang, Medical Artificial Intelligence and Automation (MAIA)Laboratory, UT Southwestern Medical Center, Dallas, TX
PO-GeP-M-393Techniques and Strategies for Minimizing Reconstruction Artifacts in Extended FOV CT Used for Radiation Therapy Treatment Planning
S Scarboro*, A Polemi, E Aliotta, P Collins, University of Virginia, Charlottesville, VA
PO-GeP-M-398The Feasibility of Using Radiomics to Detect T-Spine Lytic Bone Metastases in Simulation-CT Images
H Naseri*, J Kildea, McGill University, Montreal, QC, CA,
PO-GeP-M-406Toward Real-Time MR-Guided Adaptive Radiotherapy Planning Using a Deep Convolutional Conditional Generative Adversarial Network
L Buchanan*, Y Zhang, X Chen, F Ceballos, Y Liang, X Li, Medical College of Wisconsin, Milwaukee, WI
PO-GeP-M-408Towards Safer Artificial Intelligence-Based Radiation Therapy Treatment Planning: Adding Uncertainty Estimation to Volumetric Dose Prediction Using An Approximate Bayesian Method On Deep Neural Networks
D Nguyen*, A Balagopal, A Sadeghnejad Barkousaraie, R McBeth, S Jiang, Medical Artificial Intelligence and Automation (MAIA) Laboratory, UT Southwestern Medical Center, Dallas, TX
PO-GeP-M-409Transferring Beam Navigation Behavior From Human to Robot: An Evidence Driven Decision Making Model for Liver SBRT
Y Sheng*, W Wang, R Li, C Wang, J Zhang, X Li, H Stephens, Q Wu, F Yin, Y Ge, Q Wu, Duke University Medical Center, Durham, NC
PO-GeP-M-411Treatment Planning for Patients with Resected GBM: Is Post-Operative MRI Enough?
S Thrower*, K Brock, Y Hasan, C Chung, UT MD Anderson Cancer Center, Houston, TX
PO-GeP-M-422Validation of An AI-Driven Treatment Planning System for Adaptive Radiotherapy
E Pryser*, B Cai, F Reynoso, E Laugeman, L Henke, H Kim, S Mutic, G Hugo, Washington University School of Medicine, St. Louis, MO
PO-GeP-M-427Value Proposition of Online Adaptive Radiotherapy: Clinically Achieved Improvements in Daily Delivered Dose
J Bayouth1*, L Bayouth1, P Yadav1, A Shepard1, A Baschnagel1, M Bassetti1, K Mittauer2, (1) University of Wisconsin, Madison, WI, (2) Miami Cancer Institute, Miami, FL
PO-GeP-P-4Clinical Implementation of Plan Transformation: A Process Description
H Afsharpour1,2*, M Nielsen1, K Bozzo1, R Sankreacha1,2, (1) Department of Radiation-Oncology, Credit Valley Hospital, Mississauga, ON, Canada, (2) Department of Radiation-Oncology, University of Toronto, Toronto, ON, Canada
PO-GeP-P-64Transmission and Attenuation On 6DoF Couch Under All FFF and FF Photon Beams
R Foster* and M Xu, Northwestern Medicine Cancer Centers, Warrenville, IL and Geneva, IL
PO-GeP-P-81On the Effectiveness and Robustness of Varian's Photon Optimizer's Auto-Feathering Feature
J Newton*, K Li, John R. Marsh Cancer Center, Hagerstown, MDAF,
PO-GeP-P-92On The Effectiveness and Accuracy of .Decimal's 3D Scanner System
J Newton*, K Li, John R. Marsh Cancer Center, Hagerstown, MDAF,
PO-GeP-T-15A Control-Theoretic Framework for Intra-Fraction Motion Management in MRI-Guided Radiotherapy
H Moazami Goudarzi1*, T Mazur2, S Mirzapour3, G Sharp4, E Salari5, (1) Wichita State University, Wichita, KS, (2) Washington University in St. Louis, St. Louis, MO, (3) Wichita State University, Wichita, KS, (4) Massachusetts General Hospital, Boston, MA, (5) Wichita State University, Wichita, KS
PO-GeP-T-23A Dosimetric Validation of the Acuros XB Algorithm in the Clinic for Volumetric Modulation Arc Therapy Plans
R Srivastava*, K Basta, C Wagter, Hospital Center De Mouscron
PO-GeP-T-24A Dosimetry Evaluation Study for the New Treatment Planning System of United Imaging Healthcare: Preliminary Experience From One Institution
X Zhu*, W Hu, J Wang, J Peng, H Guo, L Yu, Department of Radiation Oncology, Fudan University Shanghai Cancer Center, china and Department of Oncology, Shanghai Medical College, Fudan University, ChinaShanghaiCN
PO-GeP-T-27A Feasibility Study of MRI Guided Pre-Plan Using Advanced Gynecological Applicator Venezia
Y Huang*, F Su, X Li, H Zhao, G Nelson, M Szegedi, L Burt, D Gaffney, G Suneja, B Salter, Univ of Utah, Salt Lake City, UT
PO-GeP-T-33A Monte Carlo Investigation of Dose Reporting Issue in the Presence of High Hounsfield-Unit Material in Clinical AAA Dose Calculation Algorithm
X Chen1*, J Fan2, I Veltchev1, J Li3, J Liu1, C Ma1, (1) Fox Chase Cancer Center, Philadelphia, PA, (2) Inova Health System, Fairfax, VA, (3) OUR United RT Group, Xian, China
PO-GeP-T-49A Novel Method for Determining Optic Nerve and Disc Location for Eye Plaque Treatment Planning
S Scarboro1*, M Astrahan2, (1) University of Virginia, Charlottesville, VA, (2) University of Southern California, Los Angeles, CA
PO-GeP-T-59A Planning Study to Reduce Heart Dose with Deep Inspiration Breath Hold (DIBH) for Left Breast Electron Boost
L Zhang*, G Li, W Lu, S Powell, L Hong, Memorial Sloan Kettering Cancer Center, New York, NY
PO-GeP-T-67A Simple Approach for Efficient Use of Compensators in Total Body Irradiation Using An In-House TBI System
A Eldib*, T Lin, M Hossain, J Liu, J Panetta, L Chen, R Price, C Ma, Fox Chase Cancer Center, Philadelphia, PA
PO-GeP-T-76Accelerated Partial Breast Irradiation On Halcyon Linac
K Yun*, J Snyder, M Bernard, D Pokhrel, University of Kentucky, Lexington, KY
PO-GeP-T-84Acuros-Based Planning with Density Override for Lung SBRT by a Dynamic Conformal Arc Technique: Comparative Evaluation with AAA-Based Planning in Terms of Four-Dimensional Delivered Dose
I Yeo*, N Joyce, D Singh, M Milano, Y Chen, D Rosenzweig, University of Rochester, Rochester, NY
PO-GeP-T-101An Investigation Into VMATPatient-Specific QA Pass Rates Influenced by Linac Performance
S Kucuker Dogan1*, D Schulze1, M Gopalakrishnan1, D Cutright2, (1) Northwestern Memorial Hospital, Chicago, IL, (2) University of Chicago Medicine, Chicago, IL
PO-GeP-T-106Analysis of a Machine Learning Based Planning Tool for Parotid Dose Prediction and Sparing
N Shaheen*, R Bayliss, P Hill, University of Wisconsin, Madison, WI
PO-GeP-T-115Applying Cloud-Based Technology and Multi-Institutional Participation to Guide Best Practice in Treatment Planning
S Quirk1*, H Morrison2, N Logie1, P Grendarova1, T Phan1, K Long2, D Graham2, T Meyer1, B Nelms3, M Roumeliotis1, (1) University of Calgary, Calgary, AB, Canada, (2) Tom Baker Cancer Centre, Calgary, AB, Canada, (3) Canis Lupus LLC, Merrimac, WI
PO-GeP-T-117Are All Volumes of Brain Metastases Suitable for Linac-Based Stereotactic Radiosurgery?
C Liu*, S Ahmed, T Ma, G Neyman, J Suh, P Xia, The Cleveland Clinic Foundation, Cleveland, OH
PO-GeP-T-125Assessment of a Knowledge-Based RapidPlan Model for Craniospinal Irradiation (CSI)
G Luo*, G Twork, M Price, G Ding, Vanderbilt University, Nashville, TN
PO-GeP-T-131Atlas-Based PTV Contouring for Total Marrow Irradiation
A Cherpak1,2,3*, K Chytyk-Praznik1,2,3, L Mulroy1,2, (1) Nova Scotia Health Authority, Halifax, NS, CA (2) Department Of Radiation Oncology, Dalhousie University, Halifax, NS, CA (3) Department of Physics and Atmospheric Sciences, Dalhousie University, Halifax, NS, CA
PO-GeP-T-141Automatic IMRT Planning Via Static Field Fluence Prediction (AIP-SFFP): A Novel Local Attention Deep-Learning Design for Head-And-Neck IMRT Application
X Li1, J Zhang1, Y Sheng1, Y Chang1, H Stephens1, Q Wu1, F Yin1, Y Ge2, Q Wu1, C Wang1*, (1) Duke University Medical Center, Durham, NC, (2) University of North Carolina at Charlotte, Charlotte, NC
PO-GeP-T-145Automation of the Treatment Planning Process for IMRT Prostate Cases
P Kapoor1,2*, (1) Virginia Commonwealth University, (2)Hunter Holmes McGuire Veterans Affairs Medical Center, Richmond, VA
PO-GeP-T-153Benchmarking DVH Prediction Uncertainty Between Different Knowledge-Based Models
B Covele*, K Moore, UC San Diego, La Jolla, CA
PO-GeP-T-164Can Knowledge-Based Dose Prediction Models Inform Brachytherapy Needle Decision-Making for Cervical Cancer?
K Kallis*, D Brown, D Scanderbeg, K Kisling, B Covele, A Simon, C Yashar, J Einck, L Mell, J Mayadev, K Moore, S Meyers, UC San Diego, La Jolla, CA
PO-GeP-T-171Characterization of IMRT, SBRT and SRS Patient Plan Quality Assurance of a Novel Biology-Guided Radiotherapy (BgRT) Machine
D Zaks1*, A Purwar2, M Narayanan3, S Khan4, J White5, A Da Silva6, C Han7, J Liang8, D Du9, A Liu10, Y Voronenko11, D Pal12, D Rigie13, J Burns14, G Kuduvalli15, (1) RefleXion Medical, Hayward, CA, (2) RefleXion Medical, Hayward, CA, (3) Reflexion Medical, Hayward, CA, (4) Reflexion Medical, Hayward, CA, (5) Reflexion Medical, Hayward, CA, (6) RefleXion Medical,Hayward, CA, (7) City of Hope Medical Center, Duarte, CA, (8) City of Hope Medical Center, Duarte, CA, (9) City of Hope Medical Center, Duarte, CA, (10) City of Hope Medical Center, Duarte, CA, (11) RefleXion Medical, Hayward, CA, (12) RefleXion Medical ,Hayward, CA, (13) Reflexion Medical, Hayward, CA, (14) Reflexion Medical, Hayward, CA,(15) Reflexion Medical, Hayward, CA
PO-GeP-T-176Characterization of the IMRT Performance of a Novel Biology-Guided Radiotherapy (BgRT) Machine Using the TG-119 Methodology
A Purwar*, M Narayanan, S Khan, D Zaks, J White, C Huntzinger, S Shirvani, S Mazin, G Kuduvalli, RefleXion Medical, Hayward, CA
PO-GeP-T-183CivaSheet Commissioning and Workflow Planning
S Morelli1*, J Woollard1, A Ayan1, N Gupta1, (1) The Ohio State University, Columbus, OH
PO-GeP-T-185Clinical Evaluation of An Automated Adaptive Proton Therapy Workflow Using Contour Propagation and Dose Evaluation
V T Taasti*, F Vaassen, C Hazelaar, A Vaniqui, W Van Elmpt, R Canters, M Unipan. Maastro Clinic, Maastricht, The Netherlands
PO-GeP-T-201Commissioning of An Xstrahl SARRP in the Novel Micro-RayStation Treatment Planning System
Y Poirier1*, A Anvari1,2, R Nilsson3, A Gerry1, C Johnstone1,4, A Sawant1, (1) University of Maryland School of Medicine, Baltimore, MD, (2) University of Pennsylvania Health System, Philadelphia, PA, (3) RaySearch Laboratories, Stockholm, SE, (4) Princess Margaret Cancer Centre, Toronto, ON, CA
PO-GeP-T-210Comparing SBRT Lung Treatment Plans Using Acuros and AAA to Evaluate Dosimetric Guidelines
M Webster*, J Yeo, S Tanny, N Joyce, University of Rochester, Rochester, NY
PO-GeP-T-218Comparison of Dose Distribution by the Difference of Dose Calculation Algorithm for the Same Treatment Plan
K Inoue1*, H Matsukawa2, Y Kasai3, K Edamitsu1, K Matsumoto1, Y Takayama1, T Hirose4, J Fukunaga4, Y Shioyama1, T Sasaki1, (1) Kyushu Univ. , Fukuoka-shi, Fukuoka-ken, JP, (2) Univ. of Occupational and Environmental Health, Kitakyushu-shi, Fukuoka-ken, JP, (3) Nagoya City Univ. Hosp. , Nagoya-shi, Aichi-ken, JP, (4) Kyushu Univ. Hosp. , Fukuoka-shi, Fukuoka-ken, JP
PO-GeP-T-224Comparison of MLC Beam Model Parameter Values in RayStation for VMAT Deliveries
J Hansen*, M Belanger, A Shepard, S Frigo, University of Wisconsin-Madison, Madison, WI
PO-GeP-T-242Constrained Optimization for Marker-Based Tumour Tracking in VMAT
A Omotayo*, B McCurdy, S Venkataraman, CancerCare Manitoba, Winnipeg, MB
PO-GeP-T-284Development of a Dose Evaluation Method for Lymphnodes Using TOPAS and Mesh-Type Reference Computational Human Phantoms
D Yoo1, H Park1, J Shin2, J Schuemann2, J Pursley2, J Son3, J Kim3, C Kim4, C Min1, H Paganetti2*, (1) Department of Radiation Convergence Engineering, Yonsei University, Wonju, KR, (2) Massachusetts General Hospital and Harvard Medical School, Boston, MA, (3) Department of Radiation Oncology, Seoul National University Hospital, Seoul, KR, (4) Department of Atomic Engineering, Hanyang Univ, Seoul, KR
PO-GeP-T-296Development of Energy Layer Optimization Considering Minimum MU Constraint for Single Field Optimization in Spot-Scanning Proton Therapy
S Hirayama1*, T Toshito2, S Fujitaka1, T Umekawa1, R Fujimoto3, A Ushikubo3, Y Nagamine3, K Hayashi4, H Ogino5, (1) Hitachi Ltd., Reserch & Development Group, (2) Department of Proton Therapy Physics, Nagoya Proton Therapy Center, Nagoya City West Medical Center, (3) Hitachi, Ltd. Smart Life Business Management Division,(4) Department of Proton Therapy Technology, Nagoya Proton Therapy Center, Nagoya City West Medical Center, (5)Department of Radiation Oncology, Nagoya Proton Therapy Center, Nagoya City West Medical Center
PO-GeP-T-314Dose-Volume Comparison of Intensity-Modulated Radiation Therapy and Passive Scattering Proton Therapy Treatment Plans for Early-Stage Glottic Cancer
T Kato13*, N Fuwa2, M Murakami3, (1) Fukushima Medical University, Fukushima, Fukushima, JP, (2) Ise Red Cross Hospital, Tsu, Mie, JP, (3) Southern Tohoku Proton Therapy Center, Koriyama, Fukushima, JP
PO-GeP-T-329Dosimetric Comparison of IFSO and IMPT Methods in Scanning Beam Proton Therapy of Squamous Cell Carcinoma of The Anus
A Anand1*, J Lentz1, S Ito2, C Beltran3, M Bues1, B Kazemba2, J Archuleta1, T Sio1, W Rule1, C Hallemeier2, M Haddock2, J Ashman1, (1) Mayo Clinic Arizona, Phoenix, AZ, (2)Mayo Clinic, Rochester, MN, (3) Mayo Clinic, Jacksonville, FL.
PO-GeP-T-331Dosimetric Comparison of Lung Cancer SBRT Treatment Plans Using Varian Truebeam and Vitalbeam
H Sha*, P Aryal, Bayhealth Medical Center, Dover, DE
PO-GeP-T-334Dosimetric Data for Small Fields (Square and Stereotactic Cone) for Commissioning of 6MV FFF Beams in the RayStation Treatment Planning System
Y Lee*, Y Kim, University of Arizona, Tucson, AZ
PO-GeP-T-342Dosimetric Evaluation of Jaw Tracking Technique for Multiple Off-Axis Targets
J Yoon*, University of Rochester, Rochester, NY
PO-GeP-T-343Dosimetric Evaluation of Whole Pelvis Radiation Therapy of Prostate Cancer
H Mansoor*, E Osei, J Darko, Grand River Hospital, Kitchener, ON,CA.
PO-GeP-T-348Dosimetric Impact of the Use of Jaw Tracking for Fields Smaller Than 3x3cm2 in Lung SBRT VMAT Plans
E Hubley*, R Scheuermann, D Carlson, C Kennedy, University of Pennsylvania, Philadelphia, PA
PO-GeP-T-349Dosimetric Implications for Post-Mastectomy Radiation Treatment (PMRT) with AlloX2 Tissue Expander
J Pan1*, M Lafreniere2, J Yang3, E Hirata4, M Sharma5, (1) UCSF Medical Center, Millbrae, CA, (2) Department of Radiation Oncology at UCSF, San Francisco, CA, (3) University Of California, San Francisco, ,,(4) University of California San Francisco, San Francisco, CA, (5) University of California San Francisco, Albany, CA
PO-GeP-T-354Dosimetrical Assessment of JawTracking Technique in RapidArc for Patients with Lateralized Targets
R Diaz Moreno*, C Venencia, A Garcia, M Almada, F Munoz, Instituto Zunino - Fundacion Marie Curie, Cordoba, ARGENTINA
PO-GeP-T-362Eclipse Output Factor Table: Should It Be Extended for Small Field Radiosurgery?
G Wu*, T Roberts, Oregon Health & Science Univ, Portland, OR
PO-GeP-T-368Effect of Systematic Error of Ovoid Path Reconstruction in Cervical Cancer Brachytherapy Treatment Using Venezia Applicator
M Paudel1*, J Da Re2, A Shaaer3, E Leung1, A Ravi1, (1) Sunnybrook Odette Cancer Center, University of Toronto, Toronto, ON, CA, (2) McMaster University, Hamilton, ON, CA,(3) Ryerson University, Toronto, ON, CA
PO-GeP-T-373Efficient Estimation of Electron Cutout Factor Using Eclipse Electron Monte Carlo Model
F Kalantari1, G Narayanasamy1, S Morrill1, G Deshazer1, S Gholami2, E Galhardo1*, (1) University of Arkansas for Medical Sciences, Little Rock, AR, (2) Cancer institute-Imam Khomeini hospital-TUMS, Tehran, ,IR,
PO-GeP-T-374Efficient Proton Arc Therapy with Column-Generation Planning
M Chen*, X Gu, W Lu, UT Southwestern Medical Center, Dallas, TX
PO-GeP-T-387Establishing Total Time Index as An Investigative Parameter for Radiation Protection of Patients Undergoing High-Dose-Rate Brachytherapy
E Oyekunle1*, R Obed2, B Akinlade3, (1) University College Hospital, Mokola, OY, NG, (2) University of Ibadan,Ibadan, OY, NG, (3) University of Ibadan, College of Medicine, Univ. College Hospital, Ibadan, Ibadan, OY, NG
PO-GeP-T-397Evaluation of a Novel AI-Driven Automated Treatment Planning System
X Ray*, M Moazzezi, C Bojechko, K Moore, University of California San Diego, La Jolla, CA
PO-GeP-T-398Evaluation of a Novel Automation Software for Generating Field-In-Field Plans for Various Treatment Sites
C Esquivel1*, L Patton1, B Doozan2, K Nelson1, D Boga1, T Navarro3, (1) Texas Oncology San Antonio, San Antonio, TX, (2) Texas Oncology, McAllen, TX, (3) Texas Oncology Brownsville,TX
PO-GeP-T-406Evaluation of Dose Variation Between CyberKnife Monte Carlo and Ray-Tracing Dose Calculation Algorithms for Lung Tumors Using An Anthropomorphic Digital Phantom
K Yang1*, J Jung1, R Patel2,1, S Sharma1, A Ju1, (1) East Carolina University, Greenville, NC, (2) 21st Century Oncology, Greenville, NC
PO-GeP-T-415Evaluation of Single Isocenter Multiple Lesion Plan Quality Optimized with Different Aperture Shape Controller Setting
S Li*, CARTI, Little Rock, AR
PO-GeP-T-430Examination of the Best Head Tilt Angle for Parotid Gland Preservation in Whole-Brain Radiotherapy Using Four-Field Box Technique
H Shimizu1,2*, K Sasaki2, T Aoyama1, H Tachibana1, H Tanaka1, Y Koide1, T Iwata1, T Kitagawa1, T Kodaira1, (1) Aichi Cancer Center, Nagoya, Aichi, JP, (2) Gunma Prefectural College of Health Sciences, Maebashi, Gunma, JP
PO-GeP-T-432Examining the Capability of Precision, IPlan, Raystation and Monaco to Satisfy the UNC Treatment Planning Protocol of Stereotactic Radiosurgery for Multi-Lesion Brain Cases
E Schreiber1*, M Dance1, S Stathakis2, A Licon2, N Papanikolaou2, S Das1, P Mavroidis1, (1) Univ North Carolina, Chapel Hill, NC, (2) Mays Cancer Center - MD Anderson Cancer Center, San Antonio, TX
PO-GeP-T-456Feasibility Study of Total Lymph Node Planning with Halcyon Using Three Isocenters
W Feng1, M Needham2, G Huebscher3, S Zhang4, W Qi5, A Grann6*, (1) Saint Barnabas Medical Center, Livingston, NJ, (2) Saint Barnabas Medical Center, Livingston, NJ, (3) Saint Barnabas Medical Center, Livingston, NJ, (4) Alliance Imaging/alliance Oncology, Havertown, PA, (5) Alliance Imaging/alliance Oncology, Havertown, PA, (6) Saint Barnabas Medical Center, Livingston, NJ
PO-GeP-T-461Fine Tuning of the Collimator Calibration Parameters for Modeling An Elekta Synergy Accelerator with An Agility Head in RayStation
P Trepanier*, F Girard, Centre integre de sante et de services sociaux de Laval, Laval, QCCA,
PO-GeP-T-464FLASH Proton Radiotherapy: Exploring the Tradeoff Between Dosimetric Plan Quality and Volumes Receiving Ultra-High Dose Rates
M Folkerts, A Magliari*, A Katsis, J Perez, A Harrington, E Abel, Varian Medical Systems, Inc., Palo Alto, California
PO-GeP-T-468Full Automation of Spine Stereotactic Radiosurgery/Stereotactic Body Radiation Therapy (SRS/SBRT) Planning Using Varian Eclipse Scripting API
J Teruel*, M Malin, A McCarthy, E Sulman, J Silverman, D Barbee, Department of Radiation Oncology, NYU Langone Health, New York, NY
PO-GeP-T-469Fully Automated Planning and Delivery of Hippocampal-Sparing Whole Brain Irradiation
I Rusu*, J Roeske, E Melian, A Solanki, H Kang, Loyola Univ Medical Center, Maywood, IL
PO-GeP-T-481Image Quality of Commercial CT Metal Artifact Reduction Algorithms and a Novel In-House Algorithm for Head and Neck (H&N) Cancer and the Dosimetric Implications On Proton Therapy
D Branco*, S Kry, P Taylor, X Zhang, J Rong, S Frank, D Followill, The University of Texas MD Anderson Cancer Center, Houston, TX
PO-GeP-T-489Impact of MC Dose Algorithm for CNS Proton Treatments
C Bloch1*, J Saini2, J Rockhill1, Y Tseng1, L Halasz1, (1) University of Washington School of Medicine, Seattle, WA, (2) SCCA Proton Therapy Center, Seattle, WA
PO-GeP-T-491Impact of Range Shifter Parameters On the Plan Quality of Intra Cranial Proton Beam Therapy
Rajesh T1*, Dayananda Sharma1, Ganapathy K1, Kartik Patro1, M Noufal1, A Manikandan1, Arunai Nambiraj N2, Rangasamy S1, Mayur S1, R Jalali1, (1) Apollo Proton Cancer Centre,Chennai, Tamil Nadu, India (7) Vit University, Vellore, India
PO-GeP-T-494Impact of SpaceOAR On Prostate Cancer Patients Treated with Stereotactic Body Radiation Therapy
r zheng*, R Chan, Northwell Health, Flushing, NY
PO-GeP-T-509Improving Clinical Efficiency and Consistency with RapidPlan for Single Lesion Brain SRS
Q Shang*, K Koch, D Wiant, T Hayes, N Koch, B Sintay, H Liu, Cone Health Cancer Center, Greensboro, NC
PO-GeP-T-510Improving SBRT Lung Plans by the Addition of Oblique Beams; a Clinical Experience
M Webster*, J Yeo, S Tanny, N Joyce, University of Rochester, Rochester, NY
PO-GeP-T-512Improving the Therapeutic Ratio of Stereotactic Body Radiotherapy for Centrally Located Non-Small Cell Lung Cancer
H Fakir1*, J Laba2, G Randhawa3, (1) London Regional Cancer Program, London, ON, CA, (2) University Of Waterloo,CA.
PO-GeP-T-522Integrating Knowledge-Based Models for An Enhanced Iterative Automated Treatment Planning Process
M Vaccarelli1,2*, J Baker3, (1) Hofstra University, Hempstead, NY, (2) Northwell Health, Lake Success, NY, (3) Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY
PO-GeP-T-525Interactive Dosimetric Evaluation Scorecard Interface Based On Clinical Goals Defined in An External Database
A Lauzon, L Etienne, F Hobeila, M Hinse, B Carozza, CISSS de Laval, Laval, Quebec, CA
PO-GeP-T-535Investigating the Impact of Using TCP and NTCP Objectives in Treatment Plan Optimization of Head & Neck Cancers
M Dance*, B Chera, S Das, P Mavroidis, Univ North Carolina, Chapel Hill, NC
PO-GeP-T-538Investigation of Plan Quality Metrics for Multiple-Metastases Using Single-Isocenter Radiosurgery Technique with Millennium MLC
E Flores-Martinez1*, G Kim2, (1) University of Chicago Hospitals, Chicago, IL, (2) University of California, San Diego, La Jolla, CA
PO-GeP-T-545Investigation of the Potential for Dosimetric Accuracy Improvements When Utilizing the Gammex 1467 Advanced Electron Density Phantom for CT Number Conversions of High-Density Biologic Material
A Plypoo1*, E Lobb2, K Ruchala3, (1) Ascension St. Elizabeth Hospital, Appleton, WI, (2) Ascension St. Elizabeth Hospital, Appleton, WI, (3) GAMMEX Inc., Madison, WI
PO-GeP-T-556Knowledge-Based RapidPlan Models for Left and Right Breast Using RapidArc
O Apaza*, A Garcia, M Almada, C Venencia, Instituto Zunino - Fundacion Marie Curie, Cordoba, ARGENTINA
PO-GeP-T-571Manipulating Gamma Knife Collimator Size in Treatment Planning to Improve Plan Quality
CJ Tien, JE Bond*, N Nguyen, Z Chen, Yale Univ. School of Medicine & YNHH, New Haven, CT
PO-GeP-T-578Method for Optimizing MLC Beam Model Parameters in RayStation for VMAT Deliveries
J Hansen*, M Belanger, A Shepard, S Frigo, University of Wisconsin-Madison, Madison, WI
PO-GeP-T-585Modeling MLC and Jaws Effective Position Correction of An Elekta Synergy Accelerator with An Agility Head in RayStation
P Trepanier*, F Girard, Centre integre de sante et de services sociaux de Laval, Laval, QCCA,
PO-GeP-T-592Monte Carlo Validation of Simple Geometry in Homogeneous Medium for Pencil Beam Scanning
M Hobson*, L Coutinho, Miami Cancer Institute, Miami, FL
PO-GeP-T-602Non-Coplanar VMAT Improves Plan Quality for Locoregional Radiotherapy of Left-Sided Breast Cancer with Internal Mammary Nodes
Y Xu*, Y Xu, Z Hu, Y Tian, P Ma, K Men, S Wang, J Dai, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, BeijingCN,
PO-GeP-T-603Novel Multiple-Isocentric Automatic Planning Approach for Craniospinal Irradiation
C Gong1*, X Xiang2, X Zhang3, L Qiu4, K Li5, J Zhao6, F Yu7, J Xiong8, (1) The First Affiliated Hospital of Nanchang University, Nanchang, 36, CN, (2) The First Affiliated Hospital Of Nanchang University, ,,(3) ,,,(4) ,,,(5) ,,,(6) Philips China Guangzhou Co. Ltd, ,,(7) ,,,(8) ,
PO-GeP-T-613Optimal Choice of Flattening Filter Free Beam for SBRT in Carcinoma of Lung
R KINHIKAR1*, P AGARWAL2, R Barman3, S Hazarika4, S Kale5, E Dandpani6, N Mummudi7, A Tibdewal8, J AGARWAL9, (1) Tata Memorial Hospital, Mumbai, MH, IN, (2) TMH, Varanasi, UP, IN, (3) Tata Memorial Centre, ,,(4) Artemis Hospitals, Gurugram, HR, IN, (5) Tata Memorial Centre, ,,(6) ,,,(7) Tata Memorial Centre, ,,(8) ,,,(9) TMH, Mumbai, MH, IN
PO-GeP-T-614Optimisation Strategy and Conformity Guidance for Mono-Isocentre SRS VMAT of Targets
K Blythe*, D Eaton, Guys And St Thomas Nhs Foundation Trust
PO-GeP-T-618Optimization of Treatment Isocenter Location in Radiation Therapy to Minimize the Impacts of Rotational Uncertainties
T Cui1*, Y Zhou2, N Yue3, I Vergalasova4, Y Zhang5, J Zhu6, K Nie7, (1) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (2) Fudan University Zhongshan Hospital, Shanghai, 31, CN, (3) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (4) Rutgers, Cancer Institute of New Jersey, New Brunswick, NJ, (5) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (6) Rutgers cancer institute of New Jersey, New Brunswick, NJ, (7) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
PO-GeP-T-620Orchestrating Clinical and Technical Data Flow to Drive Automation of Treatment Planning
B Carozza, F Girard, L Etienne, A Lauzon*, M Hinse, F Hobeila, CISSS de Laval, Laval, Quebec, CA
PO-GeP-T-628Patient Specific Collision Zones for 4-Pi SRS/SRT
C Northway1*, J Lincoln1, B Little2, A Syme123, C Thomas1234, (1)Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, CA, (2)Department of Medical Physics, Nova Scotia Health Authority, Halifax, NS, CA, (3)Department of Radiation Oncology, Dalhousie University, Halifax, NS, CA, (4)Department of Radiology, Dalhousie University, Halifax, NS, CA,
PO-GeP-T-636Performance Validation of a Novel Biology-Guided Radiotherapy (BgRT) TPS Following the IAEA-TECDOC-1540 Methodology
D Zaks1, R Bassalow2, S Maganti3*, Y Voronenko4, D Rigie5, O Volotskova6, P Olcott7, G Kuduvalli8, (1) RefleXion Medical, Hayward, CA, (2) Northwest Medical Physics, Silverdale, WA, (3) RefleXion Medical, Hayward, CA, (4) RefleXion Medical, Hayward, CA, (5) Reflexion Medical, Hayward, CA, (6) Sutter Health, Berkeley, CA, (7) Reflexion Medical, Hayward, CA, (8) Reflexion Medical, Hayward, CA
PO-GeP-T-644Possible to Treat with Lower Energy? Tangential Whole Breast Irradiation with Electronic Tissue Compensation Technique
S Wisnoskie1*, D Zheng1, A Wahl1, N Bennion1, A Granatowicz1, X Liang2, S Zhou1, (1) University of Nebraska Medical Center, Omaha, NE, (2) University of Florida, Jacksonville, FL
PO-GeP-T-649Preclinical Feasibility and Evaluation of An IMRT Optimization Method That Directly Incorporates Personalized Radiosensitivity Models
D Polan1*, V Wu1, M Varsta2, D Owen1, M Epelman1, M Schipper1, M Matuszak1, (1) University of Michigan, Ann Arbor, MI, (2) Varian Medical Systems, Palo Alto, CA
PO-GeP-T-654Prediction of Three-Dimensional Radiotherapy Optimal Dose Distributions for Lung Cancer Patients with Asymmetric Network
Y Shao*, H Chen, Z Xu, Department Of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University
PO-GeP-T-674Quality of Head and Neck VMAT Treatment Plans Transferred Between Machines
R Zakariaee*, J DeMarco, J Lewis, Z Zumsteg, B Fraass, Cedars-Sinai Medical Center, Los Angeles, CA
PO-GeP-T-694RayStation Planning for Single Isocenter Multiple Metastases Radiosurgery Treatments
R Hamilton1*, L Smith-raymond2, A Locke3, B Stea4, (1) Univ Arizona, Tucson, AZ, (2) Banner University Medical Center Tucson, ,,(3) Banner University Medical Center Tucson, ,,(4) University Of Arizona,
PO-GeP-T-706Retrospective Analysis of Stereotactic Body Radiation Therapy (SBRT) Patients for Lung Cancer
A Bhangu*, E Osei, J Darko, Grand River Hospital, Kitchener, ON, CA.
PO-GeP-T-707Retrospective Dosimetric Study of a Novel Automation Software for Whole Brain Planning Field-In-Field Treatment Plans
C Esquivel*, A Tipton, L Patton, D Baldassari, B Lin, Texas Oncology San Antonio, San Antonio, TX
PO-GeP-T-735Spinal Stereotactic Radiotherapy Treatment Plan Quality and Delivery Comparison Between a Conventional Linac and a 1.5T MR-Linac
M Aima*, E Han, N Hughes, T Briere, D Yeboa, P Castillo, J Wang, J Yang, S Vedam, The University of Texas MD Anderson Cancer Center, Houston, TX
PO-GeP-T-775The Impact of Knowledge-Based Planning and Multicriteria Optimization On Treatment Planning Workflows
J Rogers*, M DiMascio, J Stanulus, W Ramer, A Boe, Atrium Health - Rock Hill and Lancaster Radiation Therapy, Indian Land, SC
PO-GeP-T-787The Research of Automatic Treatment Planning by DVH Prediction Based On Classifying the OARs Overlap
X Pan1,2*, D Wang1,3,4, J Jia1,3,4, L Hu1, FDS Team (1) Institute Of Nuclear Energy Safety Technology, Chinese Academy Of Sciences, CN (2) University of Science and Technology of China, Hefei Anhui, CN, (3) Anhui Engineering Technology Research Center of Accurate Radiotherapy, Hefei Anhui, CN (4) CAS SuperAccuracy Science & Technology Co., Ltd., Nanjing, Jiangsu, CN
PO-GeP-T-790The Use of Artificial Intelligence to Auto-Segment Organs-At-Risk in Total Marrow Irradiation Treatment
A Liu*, R Li, C Han, J Liang, D Du, A Shinde, S Dandapani, A Amini, S Glaser, J Wong, City of Hope Medical Center, Duarte, CA
PO-GeP-T-798Total Spine Radiotherapy: A VMAT Approach
E Barnett*, R Chmielewski, S Abbas, Southlake Regional Health Centre, Newmarket, Ontario, Canada
PO-GeP-T-807Treatment Plan Comparison of HybridArc and VMAT for Fractionated Stereotactic Intracranial Radiotherapy
A Landers*, J Li, V Gunn, W Shi, H Liu, Thomas Jefferson University, Philadelphia, PA
PO-GeP-T-808Treatment Planning for Synchrotron Radiotherapy Enhanced with Iron-Oxide Nanoparticles
A Ocadiz1*, S Reymond1, N Rosuel1, AL Bulin1, JL Ravanat2, JK Kim3, JK Jeon3, GH Choi3, JF Adam1, H Elleaume1, (1) Inserm UA 7 STROBE, Grenoble, FR, (2) UGA & INAC/SyMMES CEA, Grenoble, FR, (3) Department of Biomedical Engineering, Catholic University of Daegu, Daegu city, KR
PO-GeP-T-827Using Flattening Filter Free (FFF) Beams in Electronic Tissue Compensation (ECOMP) Whole Breast Irradiation with Deep Inspiration Breath Hold (DIBH) for Left Sided Breast Cancer
S Wisnoskie1*, D Zheng1, A Wahl1, N Bennion1, A Granatowicz1, X Liang2, S Zhou1, (1) University of Nebraska Medical Center, Omaha, NE, (2) University of Florida, Jacksonville, FL
PO-GeP-T-852Volumetric Modulated Arc Therapy Based Total Body Irradiation Five Year Clinical Experience
E R Zhang, D Parsons*, J Tan, M Joo, R Reynolds, Y Zhang, P Lee, E Chambers, N B Desai, T D Dan, K A Kumar, X Gu, UT Southwestern Medical Center, Dallas, TX
PO-GeP-T-853Volumetric Proton Therapy at Relativistic Energies
M S Freeman*, E F Aulwes, F E Merrill, D Tupa, M Espy, Los Alamos National Laboratory, Los Alamos, NM
PO-GeP-T-858Automated SBRT Planning Using Constrained Hierarchical Optimization: Three Year Clinical Experience with Over 1900 Patients
L Hong*, Y Zhou, Q Huang, J Yang, H Pham, J Mechalakos, M Hunt, J Deasy, M Zarepisheh, Memorial Sloan Kettering Cancer Center, New York, NY
SU-CD-TRACK 2-4A Data Driven Fully Automated Contouring and Planning Solution for Cervical Cancer
D Rhee1*, A Jhingran1, B Rigaud1, K Huang1, K Kisling2, B Beadle3, C Cardenas1, S Kry1, S Vedam1, L Zhang1, K Brock1, W Shaw4, D O'Reilly4, H Simonds5, L Court1, (1) University of Texas MD Anderson Cancer Center, Houston, TX, (2) UC San Diego, La Jolla, CA, (3) Stanford University, Stanford, CA, (4) University of the Free State, Bloemfontein, ,ZA, (5) Stellenbosch University, Stellenbosch, ,ZA,
SU-E-TRACK 3-1BEST IN PHYSICS (THERAPY): The Role of Beam Modeling Errors in IROC Houston Phantom Failures
M Glenn*, C Peterson, R Howell, D Followill, J Pollard-Larkin, S Kry, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
SU-E-TRACK 3-2Error Reduction by Synergizing Event Reporting and Automation
M Lin*, Y Park, A Pompos, R Reynolds, A Owrangi, D Sher, S Jiang, A Godley, UT Southwestern Medical Center, Dallas, TX
SU-F-TRACK 2-7Synthesizing of Lung Tumors in Computed Tomography Images
T O'Briain1*, K Moo Yi1, S Chitsazzadeh2, M Bazalova-Carter1, (1) University of Victoria, Victoria, BC, CA, (2) BC Cancer - Victoria, Victoria, BC, CA
TH-A-TRACK 5-1Designing An Ocular Option for the ProBeam Proton Pencil-Beam-Scanning System
R Slopsema*, A Dhabaan, Emory University, Atlanta, GA
TH-A-TRACK 5-4Investigation of Tumor Bed Delineation Accuracy for Targeted Breast Radiation Therapy Following Oncoplastic Surgery
G Aldosary1*, J Caudrelier2, T Tse3, A Arnaout3, C Foottit4, J Belec4, E Vandervoort1,4, (1) Department of Physics, Carleton University, Ottawa, ON, Canada, (2) Department of Radiation Medicine, The Ottawa Hospital Cancer Centre, Ottawa, ON, Canada, (3) Department of General Surgery, The Ottawa Hospital, Ottawa, ON, Canada, (4) Department of Medical Physics, The Ottawa Hospital Cancer Centre, Ottawa, ON, Canada
TH-AB-TRACK 4-8Dosimetric Validation of An Artificial Intelligence Encapsulated Knowledge Transfer Across Medical Domains Applied to Heart Contouring for Treatment Planning
C V Guthier1*, R Zeleznik1, J Weiss1, J Taron2, C Hancox1, D Bitterman1, D Kim1, R Punglia1, B Foldyna2, M Lu2, B Kann1, J Bredfeldt1, U Hoffmann2, H Aerts1, R Mak1, (1) Dana-Farber/Brigham and Women's Cancer Center and Harvard Medical School, Boston, MA, (2) Massachusetts General Hospital and Harvard Medical School, Boston, MA,
TH-AB-TRACK 4-11Using Hyperpolarized Xe-129 Gas-Exchange MRI to Guide Functional Avoidance Planning in Thoracic Radiation Therapy
L Rankine1,2*, Z Wang2, E Bier2, C Kelsey3, L Marks1, B Driehuys2, S Das1, (1) University of North Carolina School of Medicine, Chapel Hill, NC, (2) Duke University, Durham, NC, (3) Duke University Medical Center, Durham, NC
TH-D-TRACK 6-3Failure Mode and Effects Analysis of the Paraspinal Stereotactic Body Radiotherapy (SBRT) Program: Memorial Sloan Kettering Experience
S Lee*, D Lovelock, A Kowalski, R Foley, M Gil, D Higginson, J Yamada, E Yorke, Memorial Sloan-Kettering Cancer Center, New York, NY
TH-D-TRACK 6-7A Novel Restricted Single-Isocenter Stereotactic Body Radiotherapy (RESIST) Treatment for Synchronous Multiple Lung Lesions That Minimizes Setup Uncertainties
L Critchfield*, M Bernard, M Randall, R McGarry, D Pokhrel, University of Kentucky, Lexington, KY
TU-C-TRACK 3-5SIB-VMAT for Left-Breast DIBH Patients On Halcyon Linac: A Novel Approach to Integrate Electron Breast Boost Dose in the Primary Beams
J Snyder*, M Bernard, D Pokhrel, University of Kentucky, Lexington, KY
TU-C-TRACK 5-0Matters of the Heart: From Cardiac Radioablation to Cardiac Sparing and Toxicity
C Robinson1*, M Cao2*, C Glide-Hurst3*, (1) Washington University, Saint Louis, MO, (2) UCLA School of Medicine, Los Angeles, CA, (3) Henry Ford Health System, Detroit, MI
TU-C-TRACK 5-1Clinical Outcomes after Noninvasive Cardiac Radioablation for Ventricular Tachycardia (VT)
C Robinson1*, M Cao2*, C Glide-Hurst3*, (1) Washington University, Saint Louis, MO, (2) UCLA School of Medicine, Los Angeles, CA, (3) Henry Ford Health System, Detroit, MI
TU-C-TRACK 5-2Imaging technologies for Stereotactic Ablative Radiotherapy (SABR) of Cardiac Ventricular Tachycardia
C Robinson1*, M Cao2*, C Glide-Hurst3*, (1) Washington University, Saint Louis, MO, (2) UCLA School of Medicine, Los Angeles, CA, (3) Henry Ford Health System, Detroit, MI
TU-C-TRACK 5-3Leveraging advanced technologies for improved cardiac sparing
C Robinson1*, M Cao2*, C Glide-Hurst3*, (1) Washington University, Saint Louis, MO, (2) UCLA School of Medicine, Los Angeles, CA, (3) Henry Ford Health System, Detroit, MI
TU-EF-TRACK 2-6Using Prediction Models to Analyze MR Guided Radiation Therapy Plans
A Thomas1, J Olick-Gibson2*, P Parikh3, D Yang2, (1) MD Anderson Cancer Center, Spring, TX, (2) Washington University in St. Louis, Saint Louis, MO, (3) Henry Ford Cancer Institute, Saint Louis, MO
TU-EF-TRACK 2-13MRI-To-CBCT Registration for Alignment of Prostate Cancer Patients in An MRI-Only Simulation Workflow: Implementation of a GPU-Accelerated Elasticity-Based Biomechanical Model Mediated by Synthetic-CT Images
K Singhrao1*, B Stiehl1, M Lauria1, J Fu1, N Parikh2, A Kishan2, A Santhanam2, J Lewis3, (1) David Geffen School of Medicine at UCLA, Los Angeles, CA, (2) Dept. of Radiation Oncology, UCLA, Los Angeles, CA, (3) Cedars-Sinai Medical Center, Beverly Hills, CA
TU-EF-TRACK 3-2A Deep-Learning Method of Automatic VMAT Planning Via MLC Dynamic Sequence Prediction (AVP-DSP) Using 3D Dose Prediction: A Feasibility Study of Prostate Radiotherapy Application
Y Ni1*, J Zhang2, Y Sheng2, X Li2, J Ye3, Y Ge4, Q Wu2, C Wang2, (1) Duke Kunshan University, Kunshan, 32, CN, (2) Duke University Medical Center, Durham, NC, (3) Swedish Medical Center, Seattle, WA, (4) University of North Carolina at Charlotte, Charlotte, NC,
TU-EF-TRACK 3-3A Lightweight Deep-Learning Model for Automatic IMRT Planning Via Fluence Map Prediction with a 2.5D Implementation: A Study of Head-And-Neck IMRT Application
C Wang1*, X Li1, Y Sheng1, J Zhang1, K Lafata1, F Yin1, Q Wu1, Y Ge2, Q Wu1, (1) Duke University Medical Center, Durham, NC, (2) University of North Carolina at Charlotte, Charlotte, NC
TU-EF-TRACK 3-5Automation of Palliative Radiotherapy Treatment Planning Using Independent Models to Prevent Errors From Propagating Through the Planning Process
T Netherton1*, D Rhee2, C Cardenas3, C Chung4, A Klopp5, L Colbert6, C Nguyen7, V Kolluru8, R Douglas9, C Peterson10, R Howell11, P Balter12, L Court13, (1) MD Anderson Cancer Center, Houston, TX, (2) MD Anderson Cancer Center, Houston, TX, (3) University of Texas MD Anderson Cancer Center, Houston, TX, (4) MD Anderson Cancer Center, Houston, TX, (5) MD Anderson Cancer Center, Houston, TX, AF, (6) Md Anderson Cancer Center, ,,(7) MD Anderson Cancer Center, Houston, TX, (8) Ut Md Anderson Cancer Center, ,,(9) The University Of Texas Md Anderson Cancer Center, ,,(10) The University of Texas MD Anderson Cancer Center, Houston, TX, (11) The University of Texas MD Anderson Cancer Center, Houston, TX, (12) UT MD Anderson Cancer Center, Houston, TX, (13) UT MD Anderson Cancer Center, Houston, TX
TU-EF-TRACK 3-6Fluence Map Prediction Using Deep Learning Models: A Pilot Study for AI-Driven Pancreas SBRT Planning
W Wang1*, Y Sheng1, J Zhang1, X Li1, P Jensen1, C Wang1, F Yin1, Q Wu1, Y Ge2, QJ Wu1, (1) Duke University Medical Center, Durham, NC, (2) University of North Carolina at Charlotte, Charlotte, NC
TU-EF-TRACK 3-7BEST IN PHYSICS (THERAPY): Insights Into Planning Techniques Mastered by An Autoplanning Robot: Can An AI Planning Agent Be Interpretable and Tractable?
J Zhang1*, C Wang1, Y Sheng1, F Yin1, Y Ge2, Q Wu1, (1) Duke University Medical Center, Durham, NC, (2) The University of North Carolina at Charlotte, Chartlotte, NC
TU-EF-TRACK 3-8Inter-Institutional Dose Prediction with Deep Convolutional Neural Network and Transfer Learning for Prostate Cancer VMAT Treatments
R Norouzi-Kandalan1,2*, D Nguyen1, M Lin1, A Barragan Montero3, S Breedveld4, K Namuduri2, S Jiang1, (1) UTSouthwestern Medical Center, Dallas, TX(2) University of North Texas, Denton, TX (3) Universite Catholique de Louvain, Brussels, VBR, BE (4) Erasmus University Medical Center, RTM, NL
TU-EF-TRACK 3-9Knowledge-Based Three-Dimensional Dose Prediction for Tandem-And-Ovoid Brachytherapy
K Cortes*, A Simon, K Kallis, J Mayadev, S Meyers, K Moore, University of California San Diego, La Jolla, CA
TU-EF-TRACK 3-10Machine Learning for Lung SBRT Auto Planning and Clinical Decision Support
S Zieminski*, H Willers, F K Keane, M Khandekar, Y Wang, Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
TU-EF-TRACK 3-13Reinforcement Learning for Fast and Intelligent Radiation Therapy Optimization
W Hrinivich*, J Lee, Johns Hopkins University, Baltimore, MD
WE-A-TRACK 3-5GPU-Accelerated Treatment Planning System for Intensity-Modulated Proton Therapy (IMPT)
J Shan*, W Wong, S Patel, S Schild, M Fatyga, W Liu, Mayo Clinic Arizona, Phoenix, AZ
WE-B-TRACK 3-1Towards a Helium Ion-Beam Therapy Program in 2020: Physical, Biological and Clinical Considerations
J Besuglow1,2,3,4,5*, S Mein1,2,3,4, B Kopp1,2,3,4,5, S Brons6, B Ackermann6, J Naumann6, A Abdollahi1,2,3,4, T Haberer6, J Debus3,4,5,6,7,8, A Mairani6,9, (1) Clinical Cooperation Unit Translational Radiation Oncology, National Center for Tumor Diseases, Heidelberg University Hospital and German Cancer Research Center, Heidelberg, DE (2) Division of Molecular and Translational Radiation Oncology, Department of Radiation Oncology, Heidelberg Faculty of Medicine and Heidelberg University Hospital, Heidelberg Ion-Beam Therapy Center, Heidelberg, DE (3) German Cancer Consortium Core-Center Heidelberg, German Cancer Research Center, Heidelberg, DE (4) Heidelberg Institute of Radiation Oncology, National Center for Radiation Oncology, Heidelberg University and German Cancer Research Center, Heidelberg, DE (5) Department of Physics and Astronomy, Heidelberg University, Heidelberg, DE (6) Heidelberg Ion-Beam Therapy Center at the Heidelberg University Hospital , Heidelberg, DE (7) Clinical Cooperation Unit Radiation Oncology, Heidelberg Institute of Radiation Oncology, National Center for Radiation Oncology, Heidelberg University and German Cancer Research Center, Heidelberg, DE (8) National Center for Tumor diseases, Heidelberg, DE (9) National Centre of Oncological Hadrontherapy, Medical Physics, Pavia, IT