Literature DB >> 25442343

Patient-specific quality assurance for the delivery of (60)Co intensity modulated radiation therapy subject to a 0.35-T lateral magnetic field.

H Harold Li1, Vivian L Rodriguez2, Olga L Green2, Yanle Hu2, Rojano Kashani2, H Omar Wooten2, Deshan Yang2, Sasa Mutic2.   

Abstract

PURPOSE: This work describes a patient-specific dosimetry quality assurance (QA) program for intensity modulated radiation therapy (IMRT) using ViewRay, the first commercial magnetic resonance imaging-guided RT device. METHODS AND MATERIALS: The program consisted of: (1) a 1-dimensional multipoint ionization chamber measurement using a customized 15-cm(3) cube-shaped phantom; (2) 2-dimensional (2D) radiographic film measurement using a 30- × 30- × 20-cm(3) phantom with multiple inserted ionization chambers; (3) quasi-3D diode array (ArcCHECK) measurement with a centrally inserted ionization chamber; (4) 2D fluence verification using machine delivery log files; and (5) 3D Monte Carlo (MC) dose reconstruction with machine delivery files and phantom CT.
RESULTS: Ionization chamber measurements agreed well with treatment planning system (TPS)-computed doses in all phantom geometries where the mean ± SD difference was 0.0% ± 1.3% (n=102; range, -3.0%-2.9%). Film measurements also showed excellent agreement with the TPS-computed 2D dose distributions where the mean passing rate using 3% relative/3 mm gamma criteria was 94.6% ± 3.4% (n=30; range, 87.4%-100%). For ArcCHECK measurements, the mean ± SD passing rate using 3% relative/3 mm gamma criteria was 98.9% ± 1.1% (n=34; range, 95.8%-100%). 2D fluence maps with a resolution of 1 × 1 mm(2) showed 100% passing rates for all plan deliveries (n=34). The MC reconstructed doses to the phantom agreed well with planned 3D doses where the mean passing rate using 3% absolute/3 mm gamma criteria was 99.0% ± 1.0% (n=18; range, 97.0%-100%), demonstrating the feasibility of evaluating the QA results in the patient geometry.
CONCLUSIONS: We developed a dosimetry program for ViewRay's patient-specific IMRT QA. The methodology will be useful for other ViewRay users. The QA results presented here can assist the RT community to establish appropriate tolerance and action limits for ViewRay's IMRT QA.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25442343      PMCID: PMC4385404          DOI: 10.1016/j.ijrobp.2014.09.008

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  28 in total

1.  Evaluation of the accuracy of 3DVH software estimates of dose to virtual ion chamber and film in composite IMRT QA.

Authors:  Arthur J Olch
Journal:  Med Phys       Date:  2012-01       Impact factor: 4.071

2.  Optimizing the accuracy of a helical diode array dosimeter: a comprehensive calibration methodology coupled with a novel virtual inclinometer.

Authors:  Jakub Kozelka; Joshua Robinson; Benjamin Nelms; Geoffrey Zhang; Dennis Savitskij; Vladimir Feygelman
Journal:  Med Phys       Date:  2011-09       Impact factor: 4.071

3.  Modeling scatter-to-primary dose ratio for megavoltage photon beams.

Authors:  Ken Kang-Hsin Wang; Timothy C Zhu
Journal:  Med Phys       Date:  2010-10       Impact factor: 4.071

4.  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

5.  Radiation therapy dosimetry using magnetic resonance imaging of polymer gels.

Authors:  M J Maryanski; G S Ibbott; P Eastman; R J Schulz; J C Gore
Journal:  Med Phys       Date:  1996-05       Impact factor: 4.071

6.  The ViewRay system: magnetic resonance-guided and controlled radiotherapy.

Authors:  Sasa Mutic; James F Dempsey
Journal:  Semin Radiat Oncol       Date:  2014-07       Impact factor: 5.934

7.  Comprehensive QA for radiation oncology: report of AAPM Radiation Therapy Committee Task Group 40.

Authors:  G J Kutcher; L Coia; M Gillin; W F Hanson; S Leibel; R J Morton; J R Palta; J A Purdy; L E Reinstein; G K Svensson
Journal:  Med Phys       Date:  1994-04       Impact factor: 4.071

8.  Catching errors with patient-specific pretreatment machine log file analysis.

Authors:  Dharanipathy Rangaraj; Mingyao Zhu; Deshan Yang; Geethpriya Palaniswaamy; Sridhar Yaddanapudi; Omar H Wooten; Scott Brame; Sasa Mutic
Journal:  Pract Radiat Oncol       Date:  2012-06-07

Review 9.  Polymer gel dosimetry.

Authors:  C Baldock; Y De Deene; S Doran; G Ibbott; A Jirasek; M Lepage; K B McAuley; M Oldham; L J Schreiner
Journal:  Phys Med Biol       Date:  2010-02-11       Impact factor: 3.609

10.  Patient dosimetry for hybrid MRI-radiotherapy systems.

Authors:  C Kirkby; T Stanescu; S Rathee; M Carlone; B Murray; B G Fallone
Journal:  Med Phys       Date:  2008-03       Impact factor: 4.071

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  22 in total

1.  MRI-guided radiotherapy for head and neck cancer: initial clinical experience.

Authors:  A M Chen; S Hsu; J Lamb; Y Yang; N Agazaryan; M L Steinberg; D A Low; M Cao
Journal:  Clin Transl Oncol       Date:  2017-06-13       Impact factor: 3.405

2.  A GPU-accelerated Monte Carlo dose calculation platform and its application toward validating an MRI-guided radiation therapy beam model.

Authors:  Yuhe Wang; Thomas R Mazur; Olga Green; Yanle Hu; Hua Li; Vivian Rodriguez; H Omar Wooten; Deshan Yang; Tianyu Zhao; Sasa Mutic; H Harold Li
Journal:  Med Phys       Date:  2016-07       Impact factor: 4.071

3.  Simulated Online Adaptive Magnetic Resonance-Guided Stereotactic Body Radiation Therapy for the Treatment of Oligometastatic Disease of the Abdomen and Central Thorax: Characterization of Potential Advantages.

Authors:  Lauren Henke; Rojano Kashani; Deshan Yang; Tianyu Zhao; Olga Green; Lindsey Olsen; Vivian Rodriguez; H Omar Wooten; H Harold Li; Yanle Hu; Jeffrey Bradley; Clifford Robinson; Parag Parikh; Jeff Michalski; Sasa Mutic; Jeffrey R Olsen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-08-31       Impact factor: 7.038

4.  Initial Feasibility and Clinical Implementation of Daily MR-Guided Adaptive Head and Neck Cancer Radiation Therapy on a 1.5T MR-Linac System: Prospective R-IDEAL 2a/2b Systematic Clinical Evaluation of Technical Innovation.

Authors:  Brigid A McDonald; Sastry Vedam; Jinzhong Yang; Jihong Wang; Pamela Castillo; Belinda Lee; Angela Sobremonte; Sara Ahmed; Yao Ding; Abdallah S R Mohamed; Peter Balter; Neil Hughes; Daniela Thorwarth; Marcel Nachbar; Marielle E P Philippens; Chris H J Terhaard; Daniel Zips; Simon Böke; Musaddiq J Awan; John Christodouleas; Clifton D Fuller
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-12-16       Impact factor: 7.038

5.  Computerized triplet beam orientation optimization for MRI-guided Co-60 radiotherapy.

Authors:  Dan Nguyen; David Thomas; Minsong Cao; Daniel O'Connor; James Lamb; Ke Sheng
Journal:  Med Phys       Date:  2016-10       Impact factor: 4.071

6.  A software tool to automatically assure and report daily treatment deliveries by a cobalt-60 radiation therapy device.

Authors:  Deshan Yang; H Omar Wooten; Olga Green; Harold H Li; Shi Liu; Xiaoling Li; Vivian Rodriguez; Sasa Mutic; Rojano Kashani
Journal:  J Appl Clin Med Phys       Date:  2016-05-08       Impact factor: 2.102

7.  Magnetic resonance imaging guided reirradiation of recurrent and second primary head and neck cancer.

Authors:  Allen M Chen; Minsong Cao; Sophia Hsu; James Lamb; Argin Mikaeilian; Yingli Yang; Nzhde Agazaryan; Daniel A Low; Michael L Steinberg
Journal:  Adv Radiat Oncol       Date:  2017-02-21

8.  Three-dimensional polymer gel dosimetry using an onboard 0.35 T magnetic resonance imaging scanner: A simulation study.

Authors:  Lei Zhang; Yanle Hu; Dongsu Du; Olga L Green; H Omar Wooten; H Harold Li
Journal:  J Med Phys       Date:  2015 Jul-Sep

9.  Development and evaluation of machine learning models for voxel dose predictions in online adaptive magnetic resonance guided radiation therapy.

Authors:  M Allan Thomas; Yabo Fu; Deshan Yang
Journal:  J Appl Clin Med Phys       Date:  2020-04-19       Impact factor: 2.102

Review 10.  Medical physics challenges in clinical MR-guided radiotherapy.

Authors:  Christopher Kurz; Giulia Buizza; Guillaume Landry; Florian Kamp; Moritz Rabe; Chiara Paganelli; Guido Baroni; Michael Reiner; Paul J Keall; Cornelis A T van den Berg; Marco Riboldi
Journal:  Radiat Oncol       Date:  2020-05-05       Impact factor: 3.481

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