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| BReP-SNAP-I-22 | Imaging the Metabolic Evolution of Glioblastoma Throughout Tumor Regression Following Radiotherapy to the Point of Relapse with Hyperpolarized Magnetic Resonance Imaging T Salzillo*1,2, J Gumin1, J Lee1, N Zacharias1, F Lang1,2, P Bhattacharya1,2, (1) University of Texas M.D. Anderson Cancer Center, Houston, TX (2) MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX |
| BReP-SNAP-M-1 | 3D Dose Predictions and Plan Quality Assessment in MRI Guided Online Plan Adaptation Using Artificial Neural Network (ANN) Models D Yang*, A Thomas, Y Fu, H Gach, H Li, Washington University in St. Louis, St. Louis, MO |
| BReP-SNAP-M-3 | A Comparison of Convolutional Neural Networks and Logistic Regression for the Detection of Vertebral Body Misalignments During Radiation Therapy R Petragallo*, J Lamb, University of California, Los Angeles, Los Angeles, CA |
| BReP-SNAP-M-44 | Cone Beam CT-Guided Adaptive Strategy in Pre-Operative Gastric Cancer Radiotherapy M Bleeker1*, K Goudschaal1, 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 |
| BReP-SNAP-M-63 | Dosimetric Predictors for Volumetric Liver Deformation and Change in Liver Function After SBRT for Hepatocellular Carcinoma: An In-Vivo Assessment Based On Longitudinal Magnetic Resonance Imaging P Brodin*, A Correa De Sousa, H Nash, J Tang, W Tome, N Ohri, S Kalnicki, M Garg, C Guha, R Kabarriti, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY |
| BReP-SNAP-M-71 | Exploration 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-90 | Incorporating 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-91 | Incorporating 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-94 | Interfractional Motion Is Not a Predictor of Delivery Accuracy in Liver Stereotactic Body Radiation Therapy S Kuznetsova1*, R Sinha2, N Ploquin2, K Thind2, (1) University of Calgary, Calgary, AB, CA, (2) Tom Baker Cancer Centre, Calgary, AB, CA |
| BReP-SNAP-M-98 | Machine Learning Analysis of Treatment Session Time Components R Kashani, D Smith*, C Mayo, University of Michigan, Ann Arbor, MI |
| BReP-SNAP-M-102 | Moving From Geometric-Based to Risk-Based Adaptive Re-Planning in Head and Neck Radiotherapy K Brock1*, S Gryshkevych2, B Rigaud1, A Ohrt1, S Svensson2, C Fuller1, (1) UT MD Anderson Cancer Center, Houston, TX, (2) RaySearch Laboratories AB, Stockholm,SE |
| BReP-SNAP-M-120 | Quantum-Inspired Approach to Predicting Geometric Changes in Head and Neck Cancer J Pakela*, R Ten Haken, D McShan, M Matuszak, I El Naqa, University of Michigan, Ann Arbor, MI |
| BReP-SNAP-T-24 | An Investigation of Using Logfile Analysis for Automated Patient Specific Quality Assurance in MRgRT S Lim1*, P G Scripes1, M Napolitano2, E Subashi1, N Tyagi1, L Cervino 1, D Lovelock1, (1) Memorial Sloan-Kettering Cancer Center, New York, NY, (2) Standard Imaging, Middleton, WI |
| BReP-SNAP-T-26 | Analytical Modeling of the Parameters of a Multileaf Collimator for Monte Carlo Dose Simulations in Radiotherapy J Martins1*, S Neppl2, A Alhazmi1,4, J Fleckenstein3, G Dedes1, M Reiner2, C Belka2, K Parodi1, S Veloza1,5, (1) Ludwig-Maximilians-Universitaet Muenchen, Garching b. Muenchen, DE, (2) University Hospital, LMU Munich, Munich, DE, (3) University Medical Center Mannheim, University of Heidelberg, Mannheim, DE, (4) Currently at: King Saud University Medical City, Riyadh, SB, (5) Currently at: Universidad Nacional de Colombia, Bogota, CO |
| BReP-SNAP-T-43 | Development 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-64 | Experimental Validation of Magnetically Focused Proton Minibeams AV Teran, GA McAuley*, JD Slater, AJ Wroe, Department of Radiation Medicine, Loma Linda University, Loma Linda, CA |
| BReP-SNAP-T-103 | Mechanical Evaluation of a Helical Drive System for Rotating Shield Brachytherapy in Prostate Cancer Q Adams1*, K Hopfensperger2, Y Kim3, R Flynn4, (1) Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA, (2) Department of Biomedical Engineering, The University of Iowa, Iowa City, IA, (3) Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA, (4) Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA |
| MO-CD-TRACK 1-1 | An 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 3-15 | Deep DoseNet: A Deep Neural Network Based Dose Calculation Algorithm P Dong1*, L Xing1, (1) Stanford Univ School of Medicine, Stanford, CA |
| MO-F-TRACK 2-4 | OARnet: Organs-At-Risk Delineation in Head and Neck CT Images M H Soomro*, H Nourzadeh, V Leandro Alves, W Choi, J Siebers, University of Virginia, Charlottesville, VA |
| PO-GeP-I-60 | Comparison of Lens Dose Received During 2.5 MV and 6 MV Imaging T Tran*, B Subramanian, GenesisCare, Melbourne, VIC, AU |
| PO-GeP-I-156 | Novel Radiotherapy Application of Eulerian Amplification for Predicting Skin Erythema R Culcasi*, M Snyder, William Beaumont Hospital, Royal Oak, MI |
| PO-GeP-I-176 | Quantification of the HU Variation On KV CBCT for Direct Dose Calculation in Adaptive Radiotherapy N Givehchi*, A Strzelecki, M Lehmann, M Plamondon, S Scheib |
| PO-GeP-I-199 | Study On the Influence of Lung Cancer Target Delineation with Different SUV Thresholds On Feature Extraction in 18F-FDG-PET Images C Ma*, Shandong Cancer Hospital and Institute,Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, N/ACN, |
| PO-GeP-I-217 | Towards Automation in Radiation Therapy: Extracting a Breathing Signal From a Patient-Specific Region Using a Depth Sensor E Mathias*, R O'Brien, ACRF Image X institute, Sydney, NSW, AU. |
| PO-GeP-M-8 | A Data-Driven Analytical Framework to Track and Improve Clinical Workflow in Radiation Oncology R Munbodh1*, K Leonard1, T Roth2, M Schwer1, J Brindle1, E Klein1, (1) Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI, (2) Clark Cancer Center, Cape Cod Healthcare, Falmouth, MA, |
| PO-GeP-M-9 | A Deep Learning Method for Prediction of 3D Dose Distribution in Clinical Case S Ahn1*, E Kim2, K Kim3, C Kim4, S Lee5, Y Lim6, H Kim7, D Shin8, J Jeong9, (1) National Cancer Center, Goyang-si Gyeonggi-do,KR |
| PO-GeP-M-10 | A Deep Learning-Based Interactive Software Tool to Assist Physicians Revising CTV Contours to Achieve Balanced Tumor Coverage and Organ Sparing A Balagopal*, D Nguyen, m mashayekhi, M Lin, A Garant, N Desai, R Hannan, Y Weng, X Gu, S Jiang, UT Southwestern Medical Center, Dallas, TX |
| PO-GeP-M-24 | A Novel Coplanar Multi-Modality Tomographic Imaging for Image Guidance in Radiotherapy Using Hybrid Radiation Detector Hewei Gao*, Yingxian Xia, Tsinghua University, Haidian Dist, 11CN, |
| PO-GeP-M-45 | Accurate Tracking of Position and Dose During VMAT Based On VMAT-CT X Zhao1*, R Zhang2, (1) Louisiana State University, Baton Rouge, LA, (2) Mary Bird Perkins Cancer Center, Baton Rouge, LA |
| PO-GeP-M-46 | Adaptive 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-50 | Alert System for Monitoring Changes in Patient Anatomy During Radiation Therapy of Head and Neck Cancer B Schaly1, 2*, J Kempe1, V Venkatesan1, 3, S Mitchell1, J Chen1, 2, (1) London Regional Cancer Program, London, ON, CA, (2) Departments of Medical Biophysics and Oncology, Western University, London, ON, CA, (3) Department of Oncology and Schulich School of Medicine and Dentistry, Western University, London, ON, CA |
| PO-GeP-M-58 | An Optimized Training Module for Deep Learning-Based Auto-Segmentation A Amjad1*, W Xhang2, Z Chen2, Q Zhou2, T Plautz1, L Buchanan1, X A Li1, (1) Medical College of Wisconsin, Milwaukee, WI, (2) Manteia Medical Technologies, Brookfield, WI |
| PO-GeP-M-64 | Application of Multiparametric MRI Strategically Acquired Gradient Echo (STAGE) Imaging for Radiotherapy Planning E Florez*, J Storrs, R Hamidi, A Fatemi, University of Mississippi Medical Center, Jackson, MS |
| PO-GeP-M-72 | Assessment 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-76 | Automated Dose Accumulation for Online Adaptive Radiotherapy of Head and Neck Cancers S Gros1*, A Santhanam2, D Elliott3, J Roeske1, R Patel1, H Kang1, (1) Loyola Univ Medical Center, Maywood, IL, (2) University of California, Los Angeles, Los Angeles, CA, (3) SegAna Inc, Orlando |
| PO-GeP-M-113 | Comparison of CT-MR Image Registrations of BrainLab Elements MBM SRS and Varian Eclipse J Li*, Y Yu, H Liu, Thomas Jefferson University, Philadelphia, PA |
| PO-GeP-M-120 | Cone-Beam CT Radiomics for Patients with Liver Tumors Treated by Stereotactic Body Radiation Therapy: A Pilot Study P Yang1*, J Shan2, Q Zhou2, L Xu1, Z Cao1, T Niu3, M Huang4, X Sun2, (1) Zhejiang University, Hangzhou, ,CN, (2) Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang Univ., Hangzhou, ,CN,(3) Georgia Institute Of Technology,Woodruff School of Mechanical Engineering,Atlanta,GA(4) Duke University, Department of Radiation Oncology, Durham, NC, |
| PO-GeP-M-149 | Development and Validation of a Machine Learning Predictive Model of IMRT Patient-Specific Quality Assurance Approval Using Gamma-Radiomics C Yaly1, J Lizar2, P Santos3, A Colello Bruno1, G Viani1, J Pavoni1,2*, (1) Radiotherapy Department, Ribeirao Preto Medical School Hospital and Clinics, University of Sao Paulo, ,,BR, (2) Department of Physics, Faculty of Philosophy, Sciences and Letters at Ribeirao Preto - University of Sao Paulo, ,,BR, (3) Department of Psychology, Faculty of Philosophy, Sciences and Letters at Ribeirao Preto, University of Sao Paulo, ,,BR, |
| PO-GeP-M-153 | Development of a No Action Level (NAL) Protocol for Physician Time Management During MRI Guided Online Standard Fractionation Adaptive Radiation Therapy for Head and Neck Cancer S Vedam1*, B McDonald2, J Yang3, P Castillo4, A Sobremonte5, B Lee6, N Hughes7, M Mohammadsaid8, J Wang9, C Fuller10, (1) UT MD Anderson Cancer Center, Houston, TX, (2) ,Houston, TX, (3) MD Anderson Cancer Center, Houston, TX, (4) MD Anderson Cancer Center, Houston, TX, (5) M D Anderson Cancer Center, ,,(6) UT MD Anderson, Houston, TX, (7) MD Anderson Cancer Center, Houston, TX, (8) M D Anderson Cancer Center, ,,(9) MD Anderson Cancer Center, Houston, TX, (10) MD Anderson Cancer Center, Houston, TX |
| PO-GeP-M-159 | Direct Dose Calculation On CBCTs for Various Treatment Sites in Adaptive Radiotherapy C Wessels*, S Scheib, Varian Medical System, Daettwil, AGCH, |
| PO-GeP-M-221 | Feasibility of MRI-Only Treatment Planning for Stereotactic Body Radiation Therapy (SBRT) for Prostate Cancer R Nosrati1*, W Lam2,3, M Paudel2,3, A Pejovic-Milic4, G Morton2,3, G Stanisz2,3, (1) Harvard Medical School, Boston Children's Hospital, Boston, MA (2) Sunnybrook Health Sciences Centre, Toronto, ON, Canada (3) University of Toronto, Toronto, ON, Canada, (4) Ryerson University, Toronto, ON, Canada |
| PO-GeP-M-306 | Multi-Modality Imaging Reduces Intra-Observer Variability in GTV Delineation of Sarcomas and Chordomas R Lahoud*, T Marin, F Xing, P Wohlfahrt, M Moteabbed, J Woo, X Ma, K Grogg, Y Chen, C Ma, G El Fakhri, Massachusetts General Hospital, Boston, MA |
| PO-GeP-M-346 | Quantification 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-395 | The Content-Based Standardizing Nomenclatures (CBSN) in Radiotherapy for Nasopharyngeal Carcinoma OARs X MAI1,2, S HUANG1,2, Z Zhong1,2, W Zheng1,3, S Chen1,2, S Zhou2, S Huang1, Y XIA1, X HUANG1, X Yang1*, (1) Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong, 510060, China,(2) XinHua College of Sun Yat-sen University, Guangzhou, Guangdong, 510520, China, (3)Southern Theater Air Force Hospital of the People's Liberation Army, Guangzhou, Guangdong, 510050, China |
| PO-GeP-M-402 | The Use of Image Reject Analysis to Improve Imaging Within a Radiation Therapy Department L Buckley*, The Ottawa Hospital, Ottawa, ON, CA |
| PO-GeP-M-419 | Validation and Clinical Application of DL-Based Automatic Target and OAR Segmentation Software, DeepViewer Z Peng1*, Y Chang2, Y Song3, H Wu4, A Wu5, X Pei6, X Xu7, (1) University of Science and Technology of China, Hefei, (2) University of Science and Technology of China, Hefei, (3) University of Science and Technology of China, Hefei, (4) Anhui Wisdom Technology Company Limited, Hefei, (5) The First Affiliated Hospital of University of Science and Technology of China, Hefei, (6) University of Science and Technology of China, Hefei, (7) Rensselaer Polytechnic Institute, Troy, NY |
| PO-GeP-M-423 | Validation of An Automatic ACR Phantom Quality Assurance Tool for the Low-Field MR Guided Radiotherapy System Y Gao1*, R Lotey2, P Hu1, Y Yang1, (1) University of California, Los Angeles, Los Angeles, CA, (2)Viewray Inc, Mountain View, CA |
| PO-GeP-M-428 | Versatile Geometric Distortion Evaluation of MRI Using Modular Phantom with LEGO Compatibility in Radiation Therapy C Hong1*, H Cho2, C Lee2, B Ahn2, (1) Daegu Catholic University,Daegu,Korea,(2) Korea Research Institute of Standards and Science,Daejeon,Korea |
| PO-GeP-P-7 | Elucidating the Cost of Radiotherapy Delivery for Locally Advanced Cervical Cancer in Public and Private Settings in a Latin American Region Using Time-Driven Activity-Based Costing B Li1,2*, J Trejo3, B Garcia4, B Chang5, S Malhotra5, G Luyo4, M Ning6, E Hirata2, G Sarria3, (1) Rayos Contra Cancer, San Francisco, CA, (2) University of California San Francisco, San Francisco, CA, (3) Instituto Nacional De Enfermedades Neoplasicas, Lima, Peru, (4) RED AUNA, Lima, Peru, (5) Vanderbilt University School of Medicine, Nashville, TN, (6) MD Anderson Cancer Center, Houston, TX |
| PO-GeP-P-89 | Dose Distributions and Comparisons in 3D Lattice Radiotherapy LRT and 2D GRID Beam M Xu, R Foster*, Y Qin, M Stutz, Northwestern Medicine, Geneva, IL and Radiation Oncology Consultants, Ltd., Oak Brook, IL |
| PO-GeP-T-18 | A Database-Driven Verification System for CT Simulation, Contouring and Plan Optimization M Ayles*, P Munger, D Martin, M Brunet-Benkhoucha, G Jarry, L Archambault, Hopital Maisonneuve-Rosemont, Montreal, QCCA, |
| PO-GeP-T-65 | A Risk Bias Weighted Approach to FMEA for An Adaptive Radiation Therapy Workflow N Islam1*, R Lalonde1, S Jang1, M Huq1, (1) UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine, Pittsburgh, PA |
| PO-GeP-T-77 | Acceptance Test and Commissioning: Establishing the Characteristics of LEP 300 Kilovoltage Radiotherapy Equipment NH KWON1*, DO Shin2, YG Bae3, HT Kyeong3, DW Kim3, WK Chung4, DH Shin5, JS Kim6, DW Kim6, (1) Yonsei University, Seoul, KR, (2) Kyung Hee University Hospital, Seoul, KR, (3) Auracare, Yongin, KR,(4) Department of Oncology, Kyung Hee University Hospital at Gangdong, KR (5) National Cancer Center, Goyangsi, KR, (6) Department of Radiation Oncology, Yonsei Cancer Center, Seoul,KR |
| PO-GeP-T-81 | Accurately Modeling Pan and Tilt Beam Motion to Assess the Safety of Dynamic Tumour Tracking On the Vero4DRT Linear Accelerator E Carpentier1,2*, E Dunne2, A Bergman2, E Gete2, M Camborde2, T Karan2, C Swift2, M Liu2, R Ma2, T Zhang2, A Mestrovic2, (1) University of British Columbia, Vancouver, BC, CA, (2) Vancouver Cancer Center, Vancouver, BC, CA, |
| PO-GeP-T-94 | An Automated Non-Coplanar VMAT Planning Study for Dose Escalation in Recurrent Head and Neck Cancer Patients K Woods*, R Chin, K Sheng, J.V. Hegde, M Cao, UCLA School of Medicine, Los Angeles, CA |
| PO-GeP-T-101 | An 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-102 | An Investigation Study Into the Dose Enhancement of Gold Concentration in Radiation Therapy Procedures K Chatzipapas1, V Zoiopoulou1, P Papadimitroulas2, G Loudos2, N Papanikolaou3, GC Kagadis1*, (1) University of Patras, Rion GR 26504, GR, (2) BIOEMTECH,Athens, GR 11472 ,GR, (3) University of Texas HSC SA, San Antonio, TX 78229, USA |
| PO-GeP-T-159 | Boosting the Abscopal Effect with a Boost Dose of Radiotherapy and Immunoadjuvants in the Treatment of Aggressive Metastatic Pancreatic Cancer: A Preclinical Study V Ainsworth1,2*, S Yasmin-Karim1,3,7, K DeCosmo1,5, R Mueller1,4,7, J Wood1,6, W Ngwa1,2,3,7 (1) Dana Farber Cancer Institute, Boston, MA, (2) University of Massachusetts Lowell, Lowell, MA, (3)Harvard Medical School, Boston, MA, (4)Heidelberg University, 69117 Heidelberg, Germany,(5)Northeastern University, Boston, MA,(6)University of Veterinary Medicine and Pharmacy in Kosice, Kosice, Slovakia, (7) Brigham and Womens Hospital, Boston, MA |
| PO-GeP-T-195 | Combining Radiotherapy with Immunoadjuvant Gold Nanoparticles to Enhance the Abscopal Effect in Pancreatic Cancer Model N Bih1*, S Yasmin-Karim1,2,3, J Wood1,4, W Ngwa1,2,3,5, (1) Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA, USA (2) Department of Radiation Oncology, Brigham and Women's Hospital, Boston MA, USA, (3) Harvard Medical School, Boston, MA, USA (4) Department of Immunology, University of Veterinary Medicine and Pharmacy in Kosice, Kosice, Slovakia (5) Department of Physics, University of Massachusetts Lowell, Lowell, MA, USA |
| PO-GeP-T-284 | Development 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-288 | Development of a Pre-Clinical MR-Guided Radiotherapy Model to Assess Gadolinium-Induced Renal Toxicity M Petronek1*, E Steinbach1, A Kalen1, C Callaghan1, D Hyer1, R Flynn1, D Spitz1, J Buatti1, V Magnotta1, D Zepedo-orozco2, J St-Aubin1, B Allen1 (1) University of Iowa, Iowa City, IA, (2) Ohio State University, Columbus, OH |
| PO-GeP-T-324 | Dosimetric Comparison Between Static Intensity Modulated Radiotherapy and Volumetric Intensity Modulated Radiotherapy for Esophageal Cancer L Jing1, W Lu2*, W Lu2, (1) Taian Tumor Hospital, Taian, Shandong Province, CN, (2) Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong Province, CN |
| PO-GeP-T-369 | Effect of Tumor Involvement On Activity Determination of Resin Yttrium-90 in Selective Internal Radiation Therapy of Metastatic Liver Cancer J Li*, Y Yu, Thomas Jefferson University, Philadelphia, PA |
| PO-GeP-T-381 | Enhancement of Abscopal Effect in Orthotopic Breast Cancer Animal Model with and Without Use of Nanoparticles as Radiosensitizer K DeCosmo1,2*, S Yasmin-Karim1,3,4, V Ainsworth1,5, Y Zegeye2, R Mueller1,4,6, W Ngwa1,3,4,5(1) Dana Farber Cancer Institute, Boston, MA, (2) Northeastern University, Boston, MA,(3)Harvard Medical School, Boston, MA, (4)Brigham and Womens Hospital, Boston, MA,(5)University of Massachusetts Lowell, Lowell, MA,(6)Heidelberg University, 69117 Heidelberg, Germany |
| PO-GeP-T-394 | Evaluation of a Commercial Tungsten Eye Shield for Orthovoltage Beams Using Gafchromic Film M Shafiq ul Hassan1, H Chen1*, J Bond1, D Allen1, Z Chen1, (1) Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut, USA |
| PO-GeP-T-406 | Evaluation 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-409 | Evaluation of PET/clinical Parameters to Predict Toxicity in Chimeric Antigen Receptor T-Cell Therapy Patients with Relapsed/refractory Non-Hodgkin Lymphoma C Uche*, C Wright, J Baron, M Lariviere, A Barsky, D Miller, A Maity, J Plastaras, Y Xiao, University of Pennsylvania, Philadelphia, PA |
| PO-GeP-T-429 | Evaluation of Prescription Dose Using Follow-Up Images of Head and Neck IMRT M YAMASHITA1,2*, M Kokubo1, H Tanabe1, M Sueoka1, H Mizuno2, M Koizumi2, (1) Kobe City Medical Center General Hospital, Kobe, ,JP, (2) Osaka University Graduate School of Medicine , Suita, JP |
| PO-GeP-T-433 | Experimental and Monte Carlo Analysis of Gold Nanoparticle Dose Enhancement Using 6 MV and 18 MV External Beam Energies T Gray1*, N Bassiri2, S David1, D Patel1, S Stathakis2, N Kirby2, K Mayer1, (1) The University of Texas at San Antonio, San Antonio, TX, (2) Mays Cancer Center - MD Anderson Cancer Center, San Antonio, TX |
| PO-GeP-T-475 | Gross Patient Error Detection Via Cine Transmission Dosimetry N Dang1*, V Leandro Alves1, M Ahmed2, J Siebers1, (1) University of Virginia, Charlottesville, VA, (2) Vanderbilt University Medical Center, Nashville, TN |
| PO-GeP-T-476 | Half-Beam Volumetric Modulated Arc Therapy in the Re-Treatment Scenario G Luciani*, S Davis, N Kalman, R Tolakanahalli, Miami Cancer Institute, Miami, FL |
| PO-GeP-T-487 | Impact of Doped Samarium On Radiosensitizing Effects of Titanium Dioxide Nanoparticles in Vitro M Nakayama1,2*, C Smith2, P Harty3, F Gagliardi2,4, M Geso2, (1) Division of Radiation Oncology, Kobe University, Kobe, Japan, (2) School of Biomedical and Health Sciences, RMIT University, Bundoora, VIC, Australia, (3) Australian Radiation Protection and Nuclear Safety Agency, Yallambie, VIC, Australia, (4) Alfred Hospital, Melbourne, VIC, Australia |
| PO-GeP-T-602 | Non-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-603 | Novel 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-641 | Plan Quality Assessment for Rectal Cancer Patients Using Prediction of Organ-At-Risk Dose Metrics A Vaniqui*, R Canters, F Vaassen, C Hazelaar, I Lubken, K Kremer, C Wolfs, W Van Elmpt, Maastro, Maastricht, NL, |
| PO-GeP-T-749 | Superellipse: A Novel Approach for the Dosimetric Definition of (small) Field Sizes I Mendez*, B Casar, Institute of Oncology Ljubljana, Ljubljana, SI, |
| PO-GeP-T-785 | The Modular Remote Afterloader: A New Approach for Distributing and Delivering Yb-169 to Enable Clinical Intensity Modulated Brachytherapy RT Flynn*, QA Adams, Department of Radiation Oncology, University of Iowa, Iowa City, IA |
| PO-GeP-T-814 | Triple Combination of Docetaxel, Gold Nanoparticles, and Radiation to Escalate the Therapeutic Dose to the Tumor K Bromma, A Bannister, D Chithrani*, University of Victoria, Victoria |
| PO-GeP-T-847 | Varian Halcyon/Ethos for Breast Radiotherapy C Stanton*, B Zwan, A Lee, B Griffiths, K Wu, K Richardson, R Bromley, M Morgia, G Lamoury, S Carroll, Northern Sydney Cancer Centre, Sydney, AUS |
| TH-A-TRACK 5-4 | Investigation 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-D-TRACK 5-4 | Head and Neck CTV Decision Making and Automatic Contouring Results in More Consistent Radiotherapy Plans C Cardenas1*, B Beadle2, T Lim1, J Yang1, A Olanrewaju1, R Douglas1, T Netherton1, L Zhang1, L Court1, (1) The University of Texas MD Anderson Cancer Center, Houston, TX, (2) Stanford University, Stanford, CA |
| TH-D-TRACK 6-5 | Toward Fully Integrated Spatial and Temporal Fractionation for Radiosurgery of Large Brain Lesions L Ma1*, S Luan2, W Chen1, B Ziemer1, O Morin1, P Sneed1, S Braunstein1, (1) University of California San Francisco, San Francisco, CA, (2) University of New Mexico, Alburquerque, NM |
| TU-CD-TRACK 2-8 | Normalizing Delta Radiomics for Early Prediction of Treatment Response During Chemoradiation Therapy of Pancreatic Cancer H Nasief*, W Hall, B Erickson, X Li, Medical College of Wisconsin, Milwaukee, WI |
| TU-CD-TRACK 2-9 | The Association Between Clinical Factors and Biochemical Outcome for High-Risk Prostate Cancer Patients L Sun1,2*, H Quon1,2, V Tran1, P Chen2, C Kirkby1,3, W Smith1,2 (1) University of Calgary, Calgary, AB, CA, (2) Tom Baker Cancer Centre, Calgary, AB, CA, (3) Jack Ady Cancer Centre, Lethbridge, AB, CA |
| TU-CD-TRACK 2-12 | Longitudinal MRI Based Radiomics: Classifying Rectal Cancer Response to Radiation Therapy A Chen1*, Y Gao2, Y Yang2, P Hu2, (1) Jericho High School,(2) University of California, Los Angeles, Los Angeles, CA |
| TU-D-TRACK 3-3 | First-In-Canada Non-Invasive Cardiac Radio-Ablation: Physics Considerations K Lekx-Toniolo*, G Cook, M Lacelle, G Fox, E Ali, The Ottawa Hospital, Ottawa, ON, Canada |
| TU-EF-TRACK 2-2 | BEST IN PHYSICS (MULTI-DISCIPLINARY): Accelerating Image Reconstruction On An MRI-Linac with AUTOMAP D Waddington1*, N Hindley1, N Koonjoo2, T Reynolds1, B Zhu2, C Paganelli3, M Rosen2, P Keall1, (1) ACRF Image X Institute, Faculty of Medicine and Health, The University of Sydney, NSW, AU, (2) A. A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA, (3) Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, IT. |
| TU-EF-TRACK 3-2 | A 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 3-6 | Fluence 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 |
| WE-D-TRACK 1-2 | Planning Dosimetry for 90Y Therapy: Evaluating the Predictive Power of 99mTc-MAA and the Partition Model M. Allan Thomas1*, Armeen Mahvash2, Mohamed Abdelsalam2, Ahmed Kaseb2, S. Cheenu Kappadath1, (1) Department of Imaging Physics, UT MD Anderson Cancer Center, Houston, TX, (2) Department of Interventional Radiology, UT MD Anderson Cancer Center, Houston, TX |
| WE-D-TRACK 3-1 | Radiotherapy Boosted with Continuous Release of Anti-CD40 Inhibits the Tumors Progression in Mouse Metastatic Cervical Cancer Model J Wood1,2*, W Swanson1,3, R Mueller1,4,5,6, S Yasmin-Karim1,4,7, N Bih1, W Ngwa1,4,7, (1) Department of Radiation Oncology, Dana - Farber Cancer Institute, Boston, MA, USA (2) University of Veterinary Medicine and Pharmacy in Kosice, Kosice, Slovakia (3) University of Massachusetts Lowell, Lowell, MA, USA (4) Department of Radiation Oncology, Brigham and Womens Hospital,Boston, MA, USA (5) Heidelberg University, Heidelberg, Germany (6) Data Analysis and Modeling in Medicine, Mannheim Institute for Intelligent Systems in Medicine (MIISM), Heidelberg University, Heidelberg, Germany(7) Harvard Medical School, Boston, MA, USA |