Literature DB >> 18649462

An analysis of tolerance levels in IMRT quality assurance procedures.

Parminder S Basran1, Milton K Woo.   

Abstract

Increased use of intensity modulated radiation therapy (IMRT) has resulted in increased efforts in patient quality assurance (QA). Software and detector systems intended to streamline the IMRT quality assurance process often report metrics, such as percent discrepancies between measured and computed doses, which can be compared to benchmark or threshold values. The purpose of this work is to examine the relationships between two different types of IMRT QA processes in order to define, or refine, appropriate tolerances values. For 115 IMRT plans delivered in a 3 month period, we examine the discrepancies between (a) the treatment planning system (TPS) and results from a commercial independent monitor unit (MU) calculation program; (b) TPS and results from a commercial diode-array measurement system; and (c) the independent MU calculation and the diode-array measurements. Statistical tests were performed to assess significance in the IMRT QA results for different disease site and machine models. There is no evidence that the average total dose discrepancy in the monitor unit calculation depends on the disease site. Second, the discrepancies in the two IMRT QA methods are independent: there is no evidence that a better--or worse--monitor unit validation result is related to a better--or worse--diode-array measurement result. Third, there is marginal benefit in repeating the independent MU calculation with a more suitable dose point, if the initial IMRT QA failed a certain tolerance. Based on these findings, the authors conclude at some acceptable tolerances based on disease site and IMRT QA method. Specifically, monitor unit validations are expected to have a total dose discrepancy of 3% overall, and 5% per beam, independent of disease site. Diode array measurements are expected to have a total absolute dose discrepancy of 3% overall, and 3% per beam, independent of disease site. The percent of pixels exceeding a 3% and 3 mm threshold in a gamma analysis should be greater than or equal to 95% for non-head and neck IMRT cases, and 88% for head and neck IMRT cases. The IMRT QA methodology described here is neither unique nor ubiquitous, and the ability to deliver a safe IMRT does not simply require IMRT QA tests to pass a given tolerance; however, the selection of a tolerance should be meaningful when assessing a complex plan. The methodology in defining appropriate tolerances, described in this article, is based on an interpretation of IMRT QA results from IMRT plans deemed safe to deliver.

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Year:  2008        PMID: 18649462     DOI: 10.1118/1.2919075

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  18 in total

1.  Per-beam, planar IMRT QA passing rates do not predict clinically relevant patient dose errors.

Authors:  Benjamin E Nelms; Heming Zhen; Wolfgang A Tomé
Journal:  Med Phys       Date:  2011-02       Impact factor: 4.071

2.  Quality assurance of RapidArc in clinical practice using portal dosimetry.

Authors:  A Fogliata; A Clivio; P Fenoglietto; J Hrbacek; S Kloeck; P Lattuada; P Mancosu; G Nicolini; E Parietti; G Urso; E Vanetti; L Cozzi
Journal:  Br J Radiol       Date:  2011-06       Impact factor: 3.039

Review 3.  The role of imaging in the clinical practice of radiation oncology for pancreatic cancer.

Authors:  Eugene J Koay; William Hall; Peter C Park; Beth Erickson; Joseph M Herman
Journal:  Abdom Radiol (NY)       Date:  2018-02

4.  A probability approach to the study on uncertainty effects on gamma index evaluations in radiation therapy.

Authors:  Francisco Cutanda Henríquez; Silvia Vargas Castrillón
Journal:  Comput Math Methods Med       Date:  2011-02-07       Impact factor: 2.238

5.  A comparison of the quality assurance of four dosimetric tools for intensity modulated radiation therapy.

Authors:  Jaeman Son; Taesung Baek; Boram Lee; Dongho Shin; Sung Yong Park; Jeonghoon Park; Young Kyung Lim; Se Byeong Lee; Jooyoung Kim; Myonggeun Yoon
Journal:  Radiol Oncol       Date:  2015-08-21       Impact factor: 2.991

6.  Dose verification in intensity modulation radiation therapy: a fractal dimension characteristics study.

Authors:  Jia-Ming Wu; Chung-Ming Kuo; Ching-Jiang Chen
Journal:  Biomed Res Int       Date:  2013-07-08       Impact factor: 3.411

7.  Can clinically relevant dose errors in patient anatomy be detected by gamma passing rate or modulation complexity score in volumetric-modulated arc therapy for intracranial tumors?

Authors:  Shingo Ohira; Yoshihiro Ueda; Masaru Isono; Akira Masaoka; Misaki Hashimoto; Masayoshi Miyazaki; Masaaki Takashina; Masahiko Koizumi; Teruki Teshima
Journal:  J Radiat Res       Date:  2017-09-01       Impact factor: 2.724

8.  Absolute dose verification of static intensity modulated radiation therapy (IMRT) with ion chambers of various volumes and TLD detectors.

Authors:  Hediye Acun-Bucht; Ebru Tuncay; Emin Darendeliler; Gönül Kemikler
Journal:  Rep Pract Oncol Radiother       Date:  2018-05-19

9.  Automatic 3D Monte-Carlo-based secondary dose calculation for online verification of 1.5 T magnetic resonance imaging guided radiotherapy.

Authors:  Marcel Nachbar; David Mönnich; Oliver Dohm; Melissa Friedlein; Daniel Zips; Daniela Thorwarth
Journal:  Phys Imaging Radiat Oncol       Date:  2021-06-21

10.  Statistical process control analysis for patient-specific IMRT and VMAT QA.

Authors:  Taweap Sanghangthum; Sivalee Suriyapee; Somyot Srisatit; Todd Pawlicki
Journal:  J Radiat Res       Date:  2012-12-07       Impact factor: 2.724

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