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Education | IM | IM/TH | Leadership | TH | show all

Taxonomy: TH- External beam- photons: Quality Assurance - IMRT

MO-C930-GePD-F7-5Improving IMRT Delivery with a Neighborhood-Coordinated Leaf Motion Algorithm
S Momin12*, J Grafe2 , T Zhang1 , R Khan1 , (1) Washington University School of Medicine, St. Louis, MO, (2) Ryerson University, Toronto, ON
MO-E115-GePD-F4-3Is the Standard IMRT/VMAT QA Good Enough? Investigating Log File Monte Carlo-Based Quality Assurance (LF-MC QA) as An Alternative Treatment Planning/Delivery QA Technique
C Stanhope1,4*, M Alber2,3 , M Sohn3 , D Drake4 , J Liang4 , D Yan4 , (1) Wayne State University, Royal Oak, MI, (2) Universitat Heidelberg, Tuebingen, (3) ScientificRT GmbH, Munich, (4) William Beaumont Hospital, Royal Oak, MI
MO-E115-GePD-F4-4The Feasibility of Clinical Implementation of AAPM TG-218 IMRT Measurement-Based Tolerance Limit Recommendations
R Price*, I Veltchev , T Lin , A Eldib , C Ma , Fox Chase Cancer Center, Philadelphia, PA
PO-GePV-T-120Evaluation of DVH Based Patient-Specific Quality-Assurance Using COMPASS
S Sharma*, V Subramani , S Chander , S Bhaskar , S Pathy , P Kumar , N Gopishankar , S Thulkar , M Singh , A Binjola , All India Institute of Medical Sciences New Delhi
PO-GePV-T-132Applying TG-218 Methodology to Large Field VMAT QA Using a Gantry-Resolved EPID-Based Technique
P Cardoso1*, Q Wu2 , B Liang3 , R Wei3 , (1) Duke Kunshan University, Kunshan, China, (2) Duke University Medical Center, Durham, NC, (3) Image Processing Center, Beihang University, Beijing, China
PO-GePV-T-142Using EPID in Vivo Dosimetry to Quantify Treatment Delivery Accuracy in Canine Head and Neck Tumors
J Lambeck1*, S Saad2 , K Hansen3 , M Kent3 , S Dieterich4 , (1) University of California Davis, Sacramento, CA, (2) The William R. Prichard Veterinary Medical Teaching Hospital, School of Veterinary Medicine,UC Davis, Davis, CA, (3) Department of Surgical and Radiological Sciences, UC Davis School of Veterinary Medicine, Davis, CA, (4) UC Davis Medical Center, Sacramento, CA
PO-GePV-T-144Can 2D Gamma-Passing Rate Predict DVH Errors? Analysis of Gamma-Passing Rate Based VMAT QA
M Bedoya*, C Wilke , Y Watanabe , University of Minnesota, Minneapolis, MN
PO-GePV-T-146Determination of Proper Measurement Plane for 2D IMRT QA
J Panetta*, I Veltchev , R Price , C Ma , Fox Chase Cancer Center, Philadelphia, PA
PO-GePV-T-150A Method for Using a Global Dosimetric Leaf Gap and Transmission Factor for Beam Matched Linear Accelerators
D Dean*, M Price , K Homann , School of Medicine at Vanderbilt University, Nashville, TN
PO-GePV-T-151A Direct Comparison of Gamma Pass-Rates From Four Different Commercial Systems
J Kunz*, V Sarkar , D Spitznagel , G Nelson , M Szegedi , A Paxton , Y Huang , F Su , H Zhao , P Rassiah-Szegedi , B Salter , University of Utah, Salt Lake City, UT
PO-GePV-T-155A Multi-Institution Study On the Impact of TG218 QA Tolerance Change On the Tomotherapy DQA Passing Rate
T Oldland*, H Shi , S Gerring , W Luo , J Molloy , Q Chen , University of Kentucky, Lexington, KY
PO-GePV-T-160Comparative Evaluation of Four Commercial Patient-Specific Quality Assurance Devices for Helical Tomotherapy
K Chang1*, J Lee2 , J Choi1 , C Hong1 , D Jung1 , J Kim1 , J Kim1 , M Han1 , H Lee1 , D Kim1 , J Kim1 , K Park1 , J Cho1 , Y Kim1 , (1) Yonsei Cancer Center, Seoul, (2) The Catholic University of Korea Incheon ST,MARY' s Hospital ,Incheon,
PO-GePV-T-163Development of New MLC QA of Volumetric Modulated Arc Therapy Using a High Sampling Rate Log File
S Nishiyama*, M Seo , K Makabe , M Kuramochi , T Suzuki , H Tomita , Dept. of Radio Technology, Saiseikai Kawaguchi General Hospital, Kawaguchi, Saitama
PO-GePV-T-164Development of a Learning Data for Predicting Three-Dimensional Gamma Passing Rate of IMRT Using a Dose Uncertainty Potential
E Shiba1,2*, A Saito2 , M Furumi1 , D Kawahara2 , K Miki2 , Y Murakami2 , T Ohguri1 , S Ozawa3,2 , M Tsuneda4 , K Yahara1 , T Nishio4 , Y Korogi1 , Y Nagata2,3 , (1) University of Occupational and Environmental Health, Fukuoka, Japan, (2) Hiroshima University, Hiroshima, Japan, (3) Hiroshima High-Precision Radiotherapy Cancer Center, Hiroshima, Japan, (4) Tokyo Women's Medical University, Tokyo, Japan
PO-GePV-T-166Comparison of Patient-Specific IMRT QA with the Integral Quality Monitor (IQM) and the Electronic Portal Imaging Device (EPID)
M Ghafarian*, M Morales-Paliza , M Price , Vanderbilt University Medical Center, Nashville, TN
PO-GePV-T-170Verification Results Analysis of IMRT Plan Based On Disease Differences and Establishment of Gamma Threshold of Each Disease
X Lin*, Z Li , Q Qiu , Y Yin , Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong
PO-GePV-T-257Feasibility Study of Log-Based Pre-Treatment Quality Assurance Without Dry-Run Using the Deep-Learning Approach
W Cheon, Y Han* , W Kim , B Min* , Chungbuk National University HospitalSeoul W Cheon1*, Y Han1,2,3 , W Kim4 , B Min 4, (1) Dept. of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, 06351, Korea, (2) Dept. of Radiation Oncology, Samsung Medical Center, Seoul, 06351, Korea, (3) Samsung Medical Center, Sungkyunkwan University SChool of Medicine, Seoul 06351, Korea, (4) Department of Radiation Oncology, Chungbuk National University Hospital, Cheongju, 28644, Korea.
PO-GePV-T-260A Fast and More Accurate Method to Fine Tune MLC Parameters in Elekta Versa HD Linac Using Dosimetric Leaf Gap (DLG) and EDR Film Measurement
AM Tang*, SKY Chan , KC Wong , FKH Lee
PO-GePV-T-272Efficient and Inclusive Linear Accelerator Beam Data Verification
M Schmidt*, N Knutson , A Price , B Sun , G Hugo , E Laugeman , E Pryser , S Mutic , F Reynoso , Washington University School of Medicine, St. Louis, MO
SU-L-301-5Machine Learning with Radiomic Features to Detect the Types of Errors in IMRT Patient-Specific QA
M Sakai*1, H Koarai1, M Ueda1, S Shigeta2, H Nakano2, T Takizawa23, S Tanabe2, R Sasamoto1, H Aoyama4, S Utsunomiya1, (1) Niigata University Graduate School of Health Sciences, Niigata, Japan , (2) Niigata University Medical and Dental Hospital, Niigata, Japan , (3) Niigata Neurosurgical Hospital, Niigata, Japan, (4) Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
TH-D-304-7IROC Houston QA Center's International Anthropomorphic Phantom Activity
A Molineu*, P Alvarez , P Taylor , J Lowenstein , S Kry , D Followill , UT MD Anderson Cancer Center, Houston, TX
TU-C1000-GePD-F4-2Characterization of the Beam Perturbations and Effects On IMRT Delivery of a Diode Transmission Detector
A Paxton*, V Sarkar , J Kunz , M Szegedi , G Nelson , Y Huang , B Salter , University of Utah, Salt Lake City, UT
TU-C1000-GePD-F4-5Survey Results of Current Standards for Verifying Patient Positioning and Dose Delivery in IMRT
H Mehrens*, S Kry , D Followill , UT MD Anderson Cancer Center, Houston, TX
TU-C1000-GePD-F4-6Can IMRT QA Failures Be Predicted? How Complexity Metrics Can Guide the Decision for Replanning Before IMRT QA Has Been Measured
E Silverstein1*, D Harrington2 , (1) Mayo Clinic Arizona, Phoenix, AZ, (2) Mayo Clinic Arizona, Phoenix, AZ
TU-F115-GePD-F3-3Detection of Treatment Variability Using Universal Metrics in EPID In-Vivo Dosimetry
D Hernandez1*, S Dieterich1 , (1) UC Davis Medical Center, Sacramento, CA
WE-C1000-GePD-F3-2Artificial Profile Errors in Clinical IMRT Plans Were Poorly Detected with Patient Specific Commercial QA Phantom Tests
T Paasonen1*, A Valve2 , A Kulmala3 , L Porra4 , A Saikkonen5 , A Vanhanen6 , M Tenhunen7 , (1) Helsinki University Hospital, Helsinki, 18, (2) ,Helsinki, ,(3) ,Helsinki, ,(4) ,Helsinki, ,(5) ,Turku, ,(6) ,Tampere, ,(7) ,Helsinki,