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Keywords: validation
| MO-IePD-TRACK 3-5 | Reduced Field-Of-View Diffusion Weighted MRI On An MR-Guided Radiotherapy System J Pham*, Y Gao, D Low, P Hu, Y Yang, University of California, Los Angeles, Los Angeles, 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-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-P-27 | Evaluation of Varian Identify SGRT System for Localization of Cranial Targets V Stakhursky1*, W Chang2, M Sewell3, I Stakhurska4, S Kriminski5, (1) USONCOLOGY CMOH, Philadelphia, PA, (2) U Oncology, Philadelphia, PA,(3) US Oncology, Snellville, GA, (4) Karlsruher Institut Fur Technologie Studienkolleg, Karlsruher, DE, (5) Health Quest, Wappingers Falls, NY |
| 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-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-302 | API Assisted Treatment Planning System Validation for Medical Linear Accelerators M Schmidt1,2*, N Knutson1, B Sun1, E Sajo2, P Zygmanski3, M Jandel2, J Kavanaugh1, G Hugo1, F Reynoso1, (1) Washington University School of Medicine in St. Louis, Saint Louis, MO, (2) University of Massachusetts Lowell, Lowell, MA, (3) Brigham & Women's Hospital, Boston, MA |
| 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 |
| SU-C-TRACK 6-1 | A Robust Method to Quantitate Tracer Activity in Organs and Lesions with Clinical SPECT/CT Systems J James*, J Bian, J Halama, Loyola University Medical Center, Maywood, IL |
| 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-IePD-TRACK 2-5 | Evaluation of Computer-Aided Nodule Assessment and Risk Yield (CANARY) in Korean Patients for Prediction of Invasiveness of Early Lung Adenocarcinoma Juyoung Lee1,2*, Seong Yong Park, M.D., Ph.D.3, Jin Sung Kim, Ph.D.1, (1) Department of Radiation Oncology, Yonsei University College of Medicine, Seodaemun-gu, Seoul, KR, (2) Department of Integrative Medicine, Yonsei University College of Medicine, Seoul, KR, (3) Department of Thoracic and Cardiovascular Surgery, Yonsei University College of Medicine, Seoul, KR |
| TH-A-TRACK 6-5 | Development of a Comprehensive Framework for the Validation of a Respiratory Gating System M Stock1*, C Chu2, K Matthews3, J Fontenot4, (1) Louisiana State University, Baton Rouge, LA, (2) Mary Bird Perkins Cancer Center, Baton Rouge, LA, (3) Louisiana State University, Baton Rouge, LA, (4) Mary Bird Perkins Cancer Center, Baton Rouge, LA |
| WE-C-TRACK 3-6 | Predicting Ion Chamber Disagreements for Patient-Specific Quality Assurance of VMAT Plans Using Machine Learning P Wall*, M Lafreniere, E Hirata, O Morin, G Valdes, A Witztum, University of California San Francisco, San Francisco, CA |
| WE-IePD-TRACK 1-6 | Quantitative Dimension Estimation and Clinical Utility of Three-Dimensional Ultrasound in Oral Cavity Tumors C Park1,2*, J Wihlidal3,4, A Mendez3,4, A Fenster1,2, (1) Western University, London, ON, Canada, (2) Robarts Research Institute, London, ON, Canada, (3) Schulich School Of Medicine And Dentistry, Western University, London, ON, Canada (3) London Health Sciences Centre, London, ON, Canada |
| WE-IePD-TRACK 6-4 | Clinical Implementation of Deep Learning-Based VMAT Patient-Specific QA X Yang*1,2, L Wang3, D Li4, Y Guo5, Y Li6, Y Guan7, X Wu8, S Xu9, S Zhang10, M Chan11,R Yang1, L Geng2, J Sui3 (1)Peking University Third Hospital, Beijing, CN, (2)Beihang university, Beijing, CN, (3)Institute of Automation, Chinese Academy of Sciences, Beijing, CN, (4)Henan Cancer Hospital, Zhengzhou, Henan, CN, (5)The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, CN, (6)The First Affiliated Hospital of Chongqing Medical University, Chongqing, CN, (7)Yantai Yuhuangding Hospital, Yantai, Shandong, CN, (8)Shanxi Provincial Cancer Hospital, Xi'an, Shanxi, CN, (9)General Hospital of People's Liberation Army, Beijing, CN, (10)Beijing Hospital, Beijing, CN, (11)Memorial Sloan Kettering Cancer Center, New York, NY |