EP-1175: The matter of IMRT plan QA using gamma pass rate
نویسندگان
چکیده
منابع مشابه
Benchmarking the gamma pass score using ArcCHECK for routine dosimetric QA of VMAT plans
A minimum expected gamma (γ) pass rate for VMAT plan verification using ArcCHECK was established based on the RTTQA, TG119 test cases and 10 clinical plans with varying levels of complexity. The impact of the ‘Measurement Uncertainty’ parameter as available in the ArcCHECK software on γ pass rate was studied for both global and local γ analysis. Our results show that excluding measurement uncer...
متن کاملA study on the effect of detector resolution on gamma index passing rate for VMAT and IMRT QA
The main objectives of this study are to (1) analyze the sensitivity of various gamma index passing rates using different types of detectors having different resolutions and (2) investigate the sensitivity of various gamma criteria in intensity-modulated radiation therapy (IMRT) and volumetrically modulated arc therapy (VMAT) quality assurance (QA) for the detection of systematic multileaf coll...
متن کاملBreaking bad IMRT QA practice
Agreement between planned and delivered dose distributions for patient-specific quality assurance in routine clinical practice is predominantly assessed utilizing the gamma index method. Several reports, however, fundamentally question current IMRT QA practice due to poor sensitivity and specificity of the standard gamma index implementation. An alternative is to employ dose volume histogram (D...
متن کاملStatistical process control analysis for patient-specific IMRT and VMAT QA
This work applied statistical process control to establish the control limits of the % gamma pass of patient-specific intensity modulated radiotherapy (IMRT) and volumetric modulated arc therapy (VMAT) quality assurance (QA), and to evaluate the efficiency of the QA process by using the process capability index (Cpml). A total of 278 IMRT QA plans in nasopharyngeal carcinoma were measured with ...
متن کاملIMRT QA using machine learning: A multi‐institutional validation
PURPOSE To validate a machine learning approach to Virtual intensity-modulated radiation therapy (IMRT) quality assurance (QA) for accurately predicting gamma passing rates using different measurement approaches at different institutions. METHODS A Virtual IMRT QA framework was previously developed using a machine learning algorithm based on 498 IMRT plans, in which QA measurements were perfo...
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ژورنال
عنوان ژورنال: Radiotherapy and Oncology
سال: 2013
ISSN: 0167-8140
DOI: 10.1016/s0167-8140(15)33481-2