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Keywords: statistical analysis
| PO-GePV-E-13 | Incorporating Statistical Learning and Artificial Intelligence Education to Medical Physics Graduate Training C Cardenas*, L Court, University of Texas MD Anderson Cancer Center, Houston, TX |
| PO-GePV-M-31 | Can Clinical Data Uncover Physician’s Decision Making Criteria On Patient’s Prescription in Radiotherapy? Q Li1*, J Wright1, T McNutt1, (1) SOM Rad Onc Physics of Johns Hopkins University Hospital, Baltimore, MD |
| PO-GePV-M-49 | The Impact of the COVID-19 Pandemic On Cancer Care in Radiation Oncology S Utkarsh1,2*, S Andrea3,4,5, M Gray6, D Wazer1,2, K Leonard1,2, R Munbodh1,2, (1) Department of Radiation Oncology, Warren Alpert Medical School Of Brown University, Providence, RI, (2) Department of Radiation Oncology, Rhode Island Hospital, Providence, RI, (3) Lifespan Biostatistics Core, Rhode Island Hospital, Providence, RI, (4) VA Portland Health Care System, Portland, OR, (5) OHSU-PSU School of Public Health, Portland, OR, (6) Department of Molecular Pharmacology, Physiology, and Biotechnology, Brown University, Providence, RI |
| PO-GePV-T-86 | Quantitative & Statistical Analyses of Monthly OBI QA On Varian ProBeams Z Diamond*, A Stanforth, R Slopsema, K Langen, Emory Proton Therapy Center, Atlanta, GA |
| PO-GePV-T-166 | Variability of Control Limits for Mean Percent Dose Differences Across Different Anatomical Contours H Mehrens*, R Douglas, M Gronberg, K Nealon, L Zhang, L Court, University of Texas MD Anderson Cancer Center, Houston, TX |
| PO-GePV-T-178 | An Improved Statistical Model for Gamma Index Pass Rates in Intensity Modulated Radiation Therapy Patient-Specific Quality Assurance P. James Jensen*, William Donahue, Zhe Chen, Yale University School of Medicine, New Haven, CT |
| 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-371 | Use Monte-Carlo Simulation to Determine the Coverage-Based PTV Margin L Huang*, J Chang, Northwell Health, Lake Success, NY |
| SU-F-TRACK 5-6 | Deep Learning-Based Dosimetric Plan Quality Assessment for Prostate Radiotherapy Y Nomura*, C Huang, Y Yang, N Kovalchuk, M Surucu, M Buyyounouski, L Xing, Stanford University, Stanford, CA |
| 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 |
| TU-D-TRACK 4-0 | The Anne and Donald Herbert Distinguished Lectureship in Modern Statistical Modeling N Obuchowski1*, (1) Cleveland Clinic Foundation, Cleveland, OH |
| TU-IePD-TRACK 6-7 | How Do More Relaxed Treatment Couch Tolerance Tables Lead to More Consistent Patient Positions? A Statistical Approach to Help Reduce Alert Fatigue C Hui*, M Egan, Arizona Oncology Associates, Phoenix, AZ |
| WE-D-TRACK 1-4 | Power Transformations On Multivariate Non-Normal Radiotherapy Plan Quality Measures R Widjaja1*, A Roy1, M Gopalakrishnan2, B Mittal2, (1) The University of Texas at San Antonio, San Antonio, TX, (2) Northwestern Memorial Hospital, Chicago, IL |
| WE-IePD-TRACK 3-3 | Machine Learning Based Prediction of Big Inter-Fractional Changes in Lung Tumor Motion During Radiotherapy Course Using Robust Feature Selection Q Wang*, L Dong, B Teo, H Lin, S O'Reilly, University of Pennsylvania, Philadelphia, PA |
| WE-IePD-TRACK 4-5 | Prediction of Cardiotoxicity for Breast Cancer Patients Using Light Gradient Boosting Machine Z Jiang1*, P Diao2, Y Liang3, K Dai4, H Li5, H Wang6, Y Chen7, M Lu8, Y Kuang9, (1) University of Nevada, Las Vegas, Las Vegas, NV, (2) Sichuan Cancer Hospital, Chengdu, Sichuan, CN, (3) Sichuan Cancer Hospital, Chengdu, Sichuan, CN, (4) Sichuan Cancer Hospital, Chengdu, Sichuan, CN, (5) Sichuan Cancer Hospital, Chengdu, Sichuan, CN, (6) Sichuan Cancer Hospital, Chengdu, Sichuan, CN, (7) Sichuan Cancer Hospital, Chengdu, Sichuan, CN, (8) Sichuan Cancer Hospital, Chengdu, Sichuan, CN, (9) University of Nevada, Las Vegas, Las Vegas, NV |
| WE-IePD-TRACK 5-2 | Multi-Domain Statistical Modeling of Treatment Tolerance in Patients with Gastric and Esophageal Adenocarcinoma A Toronka*, M Defreitas, B Konkel, M Nedrud, I Zaki, A Valentine, S Cubberley, F Yin, M Bashir, K Lafata, Duke University, Durham, NC |