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A B C D E F G H I J K L M N O P Q R S T U V W X Y Z # | show all

Keywords: Intensity Modulation
BReP-SNAP-T-1169Yb-Based Intensity Modulated Brachytherapy for Head & Neck Cancers
G Famulari1*, K Sultanem1;2, M Duclos1;3, S Abbasinejad Enger1;2;3;4, (1) McGill University, Montreal, QC, CA, (2) Sir Mortimer B. Davis Jewish General Hospital, Montreal, QC, CA, (3) McGill University Health Centre, Montreal, QC, CA, (4) Research Institute of the McGill University Health Centre, Montreal, QC, CA
BReP-SNAP-T-23An AP/PA Recumbent Technique for Total Body Irradiation Using IMRT at Extended SSD
X Liang1*, Q Wu2, (1) Duke Kunshan University, Kunshan, Jiangsu, CN, (2) Duke University Medical Center, Durham, NC
BReP-SNAP-T-57Error Detection and Classification in Patient Specific IMRT QA with Dual Neural Networks
N Potter*, K Mund, J Andreozzi, J Li, C Liu, G Yan, University of Florida, Gainesville, FL
PO-GeP-M-12A Deep Reinforcement Learning Based Neural Network for Beam Orientation Selection Problem in the Treatment Planning of the IMRT Prostate Cancer
A Sadeghnejad Barkousaraie, G Bohara, S Jiang, D Nguyen, D Nguyen*, UT Southwestern Medical Center, Dallas, TX
PO-GeP-M-149Development 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-367Region Specific Dose Prediction Using Deep Neural Networks: A Feasibility Study On the Planning Target Volume of Prostate IMRT Patients
D Nguyen*, S Jiang, Medical Artificial Intelligence and Automation (MAIA)Laboratory, UT Southwestern Medical Center, Dallas, TX
PO-GeP-M-384Statistical Process Control Analysis of Adaptive Patient Specific QA On the Elekta Unity MRI-Linac
S Strand*, A Boczkowski, J Snyder, D Hyer, S Yaddanapudi, D Dunkerley, J St-Aubin, University of Iowa, Iowa City, IA
PO-GeP-M-408Towards Safer Artificial Intelligence-Based Radiation Therapy Treatment Planning: Adding Uncertainty Estimation to Volumetric Dose Prediction Using An Approximate Bayesian Method On Deep Neural Networks
D Nguyen*, A Balagopal, A Sadeghnejad Barkousaraie, R McBeth, S Jiang, Medical Artificial Intelligence and Automation (MAIA) Laboratory, UT Southwestern Medical Center, Dallas, TX
PO-GeP-P-16A New Precision Method to Do IMRT Verification Work in Tomotherapy Treatment Planning System Commissioning
T Pang*, L Yu, B Yang, J Qiu, Peking Union Medical College Hospital, Beijing, 11CN,
PO-GeP-T-24A Dosimetry Evaluation Study for the New Treatment Planning System of United Imaging Healthcare: Preliminary Experience From One Institution
X Zhu*, W Hu, J Wang, J Peng, H Guo, L Yu, Department of Radiation Oncology, Fudan University Shanghai Cancer Center, china and Department of Oncology, Shanghai Medical College, Fudan University, ChinaShanghaiCN
PO-GeP-T-28A Feasibility Study to Standardize Prostate Planning Using An MR-Guided Radiotherapy Platform
C Zatwarnicki*, I Zawisza, H Zhang, C Kota, Reading Hospital - Tower Health, West Reading, PA
PO-GeP-T-31A Method for Determining Optimal Arc Parameters in VMAT
B Perumal1*, H Etti2, V Ranganathan3, N Ramar4, G Joe Anto5, M S R6, (1) Philips health systems, Bangalore, Karnataka, IN, (2) Department Of Medical Physics, Bharathiar University, ,,(3) Philips Health Systems, ,,(4) Philips Health Systems, ,IN, (5) Philips Health Systems, ,,(6) Department of Physics, School of Advanced Sciences, Vellore Institute of Technology Vellore,
PO-GeP-T-44A Novel Computer Graphical User Interface for MLC Leaf Sequencing Based On the Shape Optimization Technique
J Jing1*, H Lin1, J Chow2, (1) School of Electronic Science and Applied Physics,Hefei University of Technology,Hefei,CN, (2) Princess Margaret Cancer Centre, Toronto, ON, CA
PO-GeP-T-72A Study On Active Scanning Path Optimization for Intensity Modulated Proton Therapy Based On Improved Adaptive Genetic Algorithm
Lian Zhang1, Wenjun Fan2*, Jun Han1, Jing Yang1, Xiaohui Zhu1, Biao Tu1, Zhiwen Liang and Sheng Zhang1, (1) Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, CN, (2) Department of Otolaryngology, Renmin Hospital of Wuhan University, Wuhan, Hubei, CN.
PO-GeP-T-111Aperture Area in IMRT Studied Via Accumulated Dose Uncertainty Potential
E Shiba1,2*, A Saito2, M Furumi1, D Kawahara2, K Miki2, Y Murakami2, T Ohguri1, S Ozawa3, M Tsuneda4, K Yahara1, T Nishio4, Y Korogi1, Y Nagata2, (1) University of Occupational and Environmental Health, Fukuoka, JP, (2) Hiroshima University, Hiroshima, JP, (3) Hiroshima High-precision Radiotherapy Cancer Center, Hiroshima, JP, (4) Tokyo Women's Medical University, Tokyo, JP
PO-GeP-T-121Assessing the Effect of Multiple Delivery Parameters in Patient-Specific QA for Poor Pass-Rates Using A Diode Array and Treatment Plans From Two Different Planning Systems
J Bogue*, E Parsai, University of Toledo Medical Center, Toledo, OH
PO-GeP-T-122Assessing the Importance of Oral Cavity Dosimetry On Patient Reported Xerostomia and Dysgeusia in Patients Receiving De-Intensified Treatment for Oropharynx Cancer
D Fried*, A Fuquay, S Das, B Chera, C Shen, K Pearlstein, Univ North Carolina, Chapel Hill, NC
PO-GeP-T-143Automatic Selection of An Absolute-Dose Verification Point for Volumetric-Modulated Arc Therapy Via Dose Uncertainty Potential Accumulation Model
A Saito1*, T Nakashima1, D Kawahara1, E Shiba2,1, T Matsuura3,1, K Fukata4, K Miki1, M Tsuneda5, T Nishio5, Y Nagata1, (1) Hiroshima University, Hiroshima, JP, (2) University of Occupational and Environmental Health, Fukuoka, JP, (3) Hiroshima High-precision Radiotherapy Cancer Center, Hiroshima, JP, (4) Keio University, Tokyo, JP, (5) Tokyo Women's Medical University, Tokyo, JP
PO-GeP-T-145Automation of the Treatment Planning Process for IMRT Prostate Cases
P Kapoor1,2*, (1) Virginia Commonwealth University, (2)Hunter Holmes McGuire Veterans Affairs Medical Center, Richmond, VA
PO-GeP-T-166Cardiac Dose Control and Optimization Strategy for Left Breast Cancer Radiotherapy with Non-Uniform VMAT Technology
S Zhang, Z Pan, J Qiu*, Department of Radiation Oncology, Fudan University Huadong Hospital, Shanghai, 21
PO-GeP-T-209Comparing Non-Invasive High-Dose-Rate Brachytherapy Using Partially-Shielded Applicators to Intracavitary/Interstitial Brachytherapy for Cervical Cancer
K Hopfensperger1*, Q Adams2, Y Kim2, X Wu3, W Xu3, K Patwardhan2, B Thammavong2, R Flynn2, (1) Department of Biomedical Engineering, University of Iowa, Iowa City, IA, (2) Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA, (3) Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA.
PO-GeP-T-246Controlled Modulation Planning Techniques in Intensity Modulated Proton Therapy (IMPT) for Breast Cancer
J Yu*, A Gutierrez, M Fagundes, Miami Cancer Institute, Miami, FL
PO-GeP-T-285Development of a Framework for Monte Carlo Dose Calculation of Intensity Modulated Proton Plans
H A Loebner*1, D Frei1, W Volken1, S Mueller1, D M Aebersold1, M F M Stampanoni2, P Manser1, M K Fix1, R Kueng1, (1) Inselspital, Bern University Hospital, and University of Bern, Bern, CH, (2) ETH Zurich and PSI, Villigen, CH
PO-GeP-T-310Dose Prediction for Patient-Specific QA Using a Convolutional Neural Network
K Mund*, G Yan, University of Florida, Gainesville, FL
PO-GeP-T-341Dosimetric Evaluation of Forwarding-Optimizing-Fluence-Script and Hybrid IMRT Planning Techniques for Whole Left Breast Treatment
D Wang1*, M Weiss1, H Perlingiero1, M Kalman1, Y Hu1,2, A Denittis1,3, (1) Lankenau Hospital, Wynnewood, PA, (2) Bryn Mawr Health Center, Wynnewood, PA, (3) Lankenau Institute For Medical Research
PO-GeP-T-385Error Detection Sensitivity of the SNC and PTW Patient-Specific Qualityassurance Devices
B Rudek1*, M Manavalan2, J Xue1, (1) NYU Langone Health, New York, NY, (2) PTW North America Corporation, New York, NY
PO-GeP-T-399Evaluation of a Novel EPID Based Dosimetry System for Verification of VMAT QA in Comparison with Traditional 3D Detector Quality Assurance
R Varadhan1*, S Way2, C Overbeck3, M Bedoya4, A Jahagirdar5, R Malmin6, R Malmin7, (1) Minneapolis Radiation Oncology, ,,(2) Minneapolis Radiation Oncology, ,,(3) Minneapolis Radiation Oncology, ,,(4) Minneapolis Radiation Oncology, ,,(5) Edina High School, ,,(6) Minneapolis Radiation Oncology,
PO-GeP-T-429Evaluation 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-431Examining ArcCHECK Array Calibration Validity and Its Impact On Patient Specific QA Results
H Nusrat1,2*, L Lukhumaidze1, A Singh1, P Au1, Y Lee1,2, M Davidson1,2, (1) Department of Medical Physics, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, CA, (2) Department of Radiation Oncology, University of Toronto, Toronto, ON, CA
PO-GeP-T-438Experimental Validation of Delivery of Robust Mixed-Beam Radiotherapy Plans
E Heath1*, S Mueller2, G Guyer2, A Duetschler2, M K Fix2, P Manser2, (1) Carleton Univ, Ottawa, ON, CA, (2) Inselspital, Bern University Hospital, and University Of Bern, Bern, CH
PO-GeP-T-450Feasibility of Newly Designed Overlapping Half Beam Based Multi-Isocentric Volumetric Arc Modulated Therapy (OHMI-VMAT) Method for Pediatric Total Body Irradiation
J Lee1,2*, B Park1,3, S Hong1,2, (1) Konkuk University Medical Center, Seoul, KR, (2) Konkuk University, Graduate School of Engineering, Seoul, KR, (3) Korea University, Graduate School, Seoul, KR,
PO-GeP-T-506Implenting Dosimetric Quality Index in Lattice Radiotherapy Treatments
M Banos-capilla*, J Lago-martin, J Bea-gilabert, L Ros-garcia, L Larrea-rabassa, E Lopez-munoz, P Antonini, V Gonzalez-vidal, M Berenguer, Hospital Vithas NISA Virgen del Consuelo ValenciaES,
PO-GeP-T-564Linac-Based SBRT Delivery QA and Decreased Gamma Criteria
R Price*, I Veltchev, T Lin, A Eldib, L Chen, X Chen, L Jin, L Wang, J Liu, C Ma, Fox Chase Cancer Center, Philadelphia, PA
PO-GeP-T-655Predictive Gamma Passing Rate of 3D Array Detector-Based VMAT QA Via Deep Learning Combining Dose Distribution and Accumulated Dose Uncertainty Potential Distribution
T Matsuura1,2*, D Kawahara2, A Saito3, E Shiba4, K Yamada1, S Ozawa1,2, Y Nagata1,2, (1) Hiroshima High-precision Radiotherapy Cancer Center, JP, (2) Hiroshima University, JP, (3) Hiroshima University Hospital, JP, (4) University of Occupational and Environmental Health, JP
PO-GeP-T-717Sensitivity of Dose Distributions in Cervical Cancer Patients From Positioning Errors in Rotating Shield Brachytherapy
K Hopfensperger1*, Q Adams2, Y Kim2, X Wu3, W Xu3, K Patwardhan2, B Thammavong2, R Flynn2, (1) Department of Biomedical Engineering, University of Iowa, Iowa City, IA, (2) Department of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA, (3) Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA.
PO-GeP-T-752Systematic Evaluations of a Flat-Panel Imager for Intensity-Modulated Proton Therapy (IMPT) Plan Patient-Specific QA
Z Su1*, S Rossomme2, W Hsi3, (1) University of Florida, Jacksonville, FL, (2) IBA Dosimetry (3) University of Florida, Jacksonville, FL,
PO-GeP-T-759The Correlation of MLCleaf Trajectory Errors and Gamma Passing Rates of Patient-Specific ArcCheck-Based QA for Varian TrueBeam VMAT
Y Watanabe*, L Claps, University of Minnesota, Minneapolis, MN
PO-GeP-T-783The Influence of Respiratory Motion On Dose Distribution in VMAT-APBI
R Yamauchi*, N Mizuno, T Itazawa, J Kawamori, Department of Radiation Oncology, St. Lukes International Hospital, Tokyo, JP
PO-GeP-T-842Validation of COMPASS for Pre-Treatment Patient-Specific Quality Assurance
S Sharma*, M Sairem, A Binjola, V Subramani, S Chander, All India Institute Of Medical Sciences
TU-C-TRACK 3-6Survival of Low-Risk and Intermediate-Risk Prostate Cancer Patients Treated with IMRT Or Brachytherapy
T Podder1,2*, A Dey3, S Datta3, T Biswas1,2, (1) University Hospitals Cleveland Medical Center, Cleveland, OH, (2) Case Western Reserve University, Cleveland, OH, (3) University of Akron, Akron, OH
TU-EF-TRACK 3-3A Lightweight Deep-Learning Model for Automatic IMRT Planning Via Fluence Map Prediction with a 2.5D Implementation: A Study of Head-And-Neck IMRT Application
C Wang1*, X Li1, Y Sheng1, J Zhang1, K Lafata1, F Yin1, Q Wu1, Y Ge2, Q Wu1, (1) Duke University Medical Center, Durham, NC, (2) University of North Carolina at Charlotte, Charlotte, NC
TU-EF-TRACK 3-8Inter-Institutional Dose Prediction with Deep Convolutional Neural Network and Transfer Learning for Prostate Cancer VMAT Treatments
R Norouzi-Kandalan1,2*, D Nguyen1, M Lin1, A Barragan Montero3, S Breedveld4, K Namuduri2, S Jiang1, (1) UTSouthwestern Medical Center, Dallas, TX(2) University of North Texas, Denton, TX (3) Universite Catholique de Louvain, Brussels, VBR, BE (4) Erasmus University Medical Center, RTM, NL