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Keywords: HDR
| PO-GePV-T-21 | In-Vivo Detection of Strut Deformation in Partial Breast Irradiation M Walls1*, C Ramsey1,2, I Pfeiffer2, (1) University of Tennessee, Knoxville, TN, (2) Thompson Cancer Survival Center, Knoxville, TN |
| PO-GePV-T-22 | An Autoradiograph-Free Method for the Commissioning and QA of Elekta Interstitial MR/CT HDR Tandem and Ring Applicators J Wu*, A Schwarz, S Sun, L Maloney, G Yan, B Lu, University of Florida, Gainesville, FL |
| PO-GePV-T-24 | Utilization of Phosphorescent Materials During Quality Assurance of HDR Afterloaders D Sterling*, E Ehler, X Tang, D Mathew, University of Minnesota, Minneapolis, MN |
| PO-GePV-T-31 | Optimisation of Point A Based Cervix Cancer HDR Brachytherapy S Acharya1*, (1) Assam Cancer Care Foundation, Lakhimpur, Assam, IN |
| PO-GePV-T-32 | Source Position Uncertainty in the Venezia Advanced Gynecological Applicator for High-Dose-Rate Brachytherapy X Li*, Y Huang, K Hopfensperger, S Bhagroo, H Zhao, J Kunz, G Nelson, F Su, University of Utah, Salt Lake City, UT |
| PO-GePV-T-58 | Better Identification of Dose Constraints for Use in HDR in the Treatment of Locally Advanced Cervix Cancer S Choudrie*, R Crilly, J Kahn, Oregon Health & Science Univ, Portland, OR |
| PO-GePV-T-357 | External Beam Alternatives to Vaginal Cuff Brachytherapy Z Carter1, J Fang2, X Li3*, (1) Georgia Institute of Technology, Atlanta, GA, (2) Ascension Saint Thomas Rutherford Hospital, Murfreesboro, TN, (3) University of Utah, Salt Lake City, UT |
| SU-E-BRA-7 | Towards Improved Robustness to Needle Displacement: A Robust Planning Technique for Gynecological High Dose Rate Interstitial Brachytherapy K Jiang*, M MacFarlane, R McCarroll, N Lamichhane, P Mohindra, Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD |
| SU-H330-IePD-F5-1 | Dosimetric and Image Quality Assessment of a Novel Deep Learning-Based Framework for MRI Synthesis From CT for Prostate High Dose-Rate Brachytherapy A Podgorsak1,2*, B Venkatesulu1,2, M Abuhamad3, M Harkenrider1,2, A Solanki1,2, J Roeske1,2, H Kang1,2, (1) Department of Radiation Oncology, Stritch School of Medicine, Cardinal Bernadin Cancer Center, Loyola University Chicago, Maywood, IL, (2) Loyola University Medical Center, Maywood, IL, (3) Department of Computer Science, Loyola University Chicago, Chicago, IL |
| SU-H330-IePD-F7-1 | A Knowledge-Based Machine Learning Model for DVH Prediction in HDR Brachytherapy Z Li1, B Zhou1*,Q Zhu1, Z Li1, J Fu1, Z Yang2, (1) Shanghai Sixth People's Hospital, Shanghai, Shanghai, CN, (2) Duke University, Durham, NC |
| SU-H330-IePD-F7-4 | Cross Comparison and Validation of Metallic Catheter Reconstruction for Use in High-Dose-Rate Brachytherapy Utilizing Electromagnetic Tracker, Ultrasound, and Computed Tomography Information N Hassan Rezaeian*, G Cohen, D Aramburu Nunez, J Beaudry, P McCann, A Damato, Memorial Sloan Kettering Cancer Center, New York, NY |
| SU-H400-IePD-F7-1 | Feasibility of HDR Brachytherapy Applicator Commissioning and QA Using a Mobile CT Scanner M Stock*, Y Vinogradskiy, R Taleei, Thomas Jefferson University, Philadelphia, PA |
| SU-H400-IePD-F7-2 | Systematic Review On the Use of Artificial Intelligence in Brachytherapy J Theeler1, Y Kim2*, University Of Iowa, (1) Biomedical Engineering Department,(2) Radiation Oncology Department, Iowa City, Iowa, USA |
| SU-H400-IePD-F7-3 | Investigating Applicator Effect On the Depth-Dose Distribution of a Novel Y-90 Disc Source with 3D-Printed Film Dosimetry Tools L Huang*, X Chang, J Chang, J Liu, Y Cao, Northwell Health, Lake Success, NY |
| SU-I400-BReP-F3-1 | Quantitative Prospective Evaluation of Automated Contouring for HDR Gynecologic Brachytherapy Z Iqbal*, S Marcrom, R Cardan, A Kraus, K Lee, A Mcclain, R Popple, C Cardenas, University of Alabama - Birmingham, Birmingham, AL |
| TU-F115-IePD-F6-4 | Dosimetric Evaluation of Stereotactic Prostate Reirradiation Using Cyberknife as An Alternative to HDR Brachytherapy for Locally Recurrent Prostate Cancer X Zhang, S Jang*, S Lee, S Keohan, AE Hirsch, Boston Medical Center, Boston, MA |
| TU-I345-IePD-F2-4 | Deep-Learning Based Automated Contouring, Dose-Prediction, and Planning in High-Dose-Rate Prostate Brachytherapy C V Guthier1,2*, T C Harris1, D A O'Farrell3, S A Friesen4, M T King5, I M Buzurovic6, R A Cormack7, (1) Department of Radiation Oncology, Brigham and Womens Hospital/Dana-Farber Cancer Institute and Harvard Medical School, Boston MA (2) Artificial Intelligence in Medicine (AIM) Program at Harvard-MGB |