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Taxonomy: TH- Brachytherapy: HDR Brachytherapy

PO-GePV-P-17Evaluation of Fractional Variations of Delineated Volumes and Dosimetric Parameters for Patients Treated with HDR Multi-Channel Vaginal Cylinders
T Giaddui*, B Wang, J Price, C Heese, C Miyamoto, B Micaily, S Li, Temple University Hospital, Phila., PA
PO-GePV-T-32Source 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-34Evaluation of the Dosimetric Quality of MRI-Only HDR Brachytherapy Planning with Titanium Ring-And-Tandem Applicators
I Veltchev*, T Lin, X Chen, R Price, K Howell, C Ma, Fox Chase Cancer Center, Philadelphia, PA
PO-GePV-T-36Deep-Learning-Based Automated HDR Applicator Digitization for GYN Brachytherapy
S Momin1*, Y Lei2, T Wang3, M Axente4, J Roper5, J Shelton6, J Bradley7, T Liu8, X Yang9, (1) Emory Univ, Decatur, GA, (2) Emory University, Decatur, GA, (3) Emory University, Atlanta, GA, (4) Emory University, Atlanta, GA, (5) Winship Cancer Institute of Emory University, Atlanta, GA, (6) Emory University, ,,(7) Emory University School of Medicine, ,,(8) Emory University School of Medicine, Atlanta, GA, (9) Emory University School of Medicine, Atlanta, GA
PO-GePV-T-37Are We Improving? The Learning Curve for Implementing Intraoperative Ultrasound-Guided Prostate High Dose Rate (HDR) Brachytherapy
A Besemer1*, J Wong1, S Wang1, M Hyun1, S Wisnoskie1, D Schott1, D Zheng1,2, Y Lei1,3, K Gallagher1, S Hendley1, (1) University of Nebraska Medical Center, Omaha, NE, (2) University of Rochester, Rochester, NY, (3) Barrow Neurological Institute, Phoenix, AZ
PO-GePV-T-51Effects of Multichannel Cylinder System (MCC) Rotation On Plan Robustness in Asymmetric Vaginal Tumors
L Huang*, E Suarez, Z Wang, M Naik, J Greskovich, T Djemil, Cleveland Clinic Florida, Weston, FL
PO-GePV-T-357External 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-7Towards 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-F7-1A 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-F7-4Cross 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-K-207-4Dose Map Prediction for High-Dose-Rate Brachytherapy Using Deep Learning Neural Networks
Z Li1, Q Zhu1, Z Li1, J Fu1, Z Yang2*, (1) Shanghai Sixth People's Hospital, Shanghai, Shanghai, CN, (2) Duke University, Durham, NC

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