Literature DB >> 22894429

3D DVH-based metric analysis versus per-beam planar analysis in IMRT pretreatment verification.

Pablo Carrasco1, Núria Jornet, Artur Latorre, Teresa Eudaldo, Agustí Ruiz, Montserrat Ribas.   

Abstract

PURPOSE: To evaluate methods of pretreatment IMRT analysis, using real measurements performed with a commercial 2D detector array, for clinical relevance and accuracy by comparing clinical DVH parameters.
METHODS: We divided the work into two parts. The first part consisted of six in-phantom tests aimed to study the sensitivity of the different analysis methods. Beam fluences, 3D dose distribution, and DVH of an unaltered original plan were compared to those of the delivered plan, in which an error had been intentionally introduced. The second part consisted of comparing gamma analysis with DVH metrics for 17 patient plans from various sites. Beam fluences were measured with the MapCHECK 2 detector, per-beam planar analysis was performed with the MapCHECK software, and 3D gamma analysis and the DVH evaluation were performed using 3DVH software.
RESULTS: In a per-beam gamma analysis some of the tests yielded false positives or false negatives. However, the 3DVH software correctly described the DVH of the plan which included the error. The measured DVH from the plan with controlled error agreed with the planned DVH within 2% dose or 2% volume. We also found that a gamma criterion of 3%∕3 mm was too lax to detect some of the forced errors. Global analysis masked some problems, while local analysis magnified irrelevant errors at low doses. Small hotspots were missed for all metrics due to the spatial resolution of the detector panel. DVH analysis for patient plans revealed small differences between treatment plan calculations and 3DVH results, with the exception of very small volume structures such as the eyes and the lenses. Target coverage (D(98) and D(95)) of the measured plan was systematically lower than that predicted by the treatment planning system, while other DVH characteristics varied depending on the parameter and organ.
CONCLUSIONS: We found no correlation between the gamma index and the clinical impact of a discrepancy for any of the gamma index evaluation possibilities (global, local, 2D, or 3D). Some of the tests yielded false positives or false negatives in a per-beam gamma analysis. However, they were correctly accounted for in a DVH analysis. We also showed that 3DVH software is reliable for our tests, and is a viable method for correlating planar discrepancies with clinical relevance by comparing the measured DVH of target and OAR's with clinical tolerance.

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Year:  2012        PMID: 22894429     DOI: 10.1118/1.4736949

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


  38 in total

1.  Correlation between gamma index passing rate and clinical dosimetric difference for pre-treatment 2D and 3D volumetric modulated arc therapy dosimetric verification.

Authors:  X Jin; H Yan; C Han; Y Zhou; J Yi; C Xie
Journal:  Br J Radiol       Date:  2014-12-10       Impact factor: 3.039

2.  Comparison of 2D and 3D gamma analyses.

Authors:  Kiley B Pulliam; Jessie Y Huang; Rebecca M Howell; David Followill; Ryan Bosca; Jennifer O'Daniel; Stephen F Kry
Journal:  Med Phys       Date:  2014-02       Impact factor: 4.071

3.  Three-dimensional gamma analysis of dose distributions in individual structures for IMRT dose verification.

Authors:  Yuuki Tomiyama; Fujio Araki; Takeshi Oono; Kazunari Hioki
Journal:  Radiol Phys Technol       Date:  2014-05-06

4.  Validation of a quick three-dimensional dose verification system for pre-treatment IMRT QA.

Authors:  Yuji Nakaguchi; Fujio Araki; Takeshi Ono; Yuki Tomiyama; Masato Maruyama; Nozomu Nagasue; Yoshinobu Shimohigashi; Yudai Kai
Journal:  Radiol Phys Technol       Date:  2014-09-27

5.  Commissioning and validation of fluence-based 3D VMAT dose reconstruction system using new transmission detector.

Authors:  Yuji Nakaguchi; Takeshi Oono; Masato Maruyama; Yoshinobu Shimohigashi; Yudai Kai; Yuya Nakamura
Journal:  Radiol Phys Technol       Date:  2018-03-12

6.  Institutional patient-specific IMRT QA does not predict unacceptable plan delivery.

Authors:  Stephen F Kry; Andrea Molineu; James R Kerns; Austin M Faught; Jessie Y Huang; Kiley B Pulliam; Jackie Tonigan; Paola Alvarez; Francesco Stingo; David S Followill
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-10-21       Impact factor: 7.038

7.  [Impact of multi-leaf collimator positioning accuracy on quality control of volumetric modulation arc therapy plan for cervical cancer treated with Elekta linear accelerator].

Authors:  J Liang; F Yu; J Zhu; T Song
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2022-07-20

8.  Comparing treatment uncertainty for ultra- vs. standard-hypofractionated breast radiation therapy based on in-vivo dosimetry.

Authors:  Yawo A C Fiagan; Evy Bossuyt; Melanie Machiels; Daan Nevens; Charlotte Billiet; Philip Poortmans; Thierry Gevaert; Dirk Verellen
Journal:  Phys Imaging Radiat Oncol       Date:  2022-05-13

9.  A method to improve fluence resolution derived from two-dimensional detector array measurements for patient-specific IMRT verification using the information collected in dynalog files.

Authors:  Juan Agustin Calama Santiago; Miguel Angel Infante Utrilla; Maria Elisa Lavado Rodriguez
Journal:  J Med Phys       Date:  2015 Jan-Mar

10.  Dosimetric assessment of patient dose calculation on a deep learning-based synthesized computed tomography image for adaptive radiotherapy.

Authors:  Olga M Dona Lemus; Yi-Fang Wang; Fiona Li; Sachin Jambawalikar; David P Horowitz; Yuanguang Xu; Cheng-Shie Wuu
Journal:  J Appl Clin Med Phys       Date:  2022-03-25       Impact factor: 2.243

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