Literature DB >> 24674419

Initial experience with TrueBeam trajectory log files for radiation therapy delivery verification.

Baozhou Sun1, Dharanipathy Rangaraj2, Geethpriya Palaniswaamy2, Sridhar Yaddanapudi1, Omar Wooten1, Deshan Yang1, Sasa Mutic1, Lakshmi Santanam3.   

Abstract

PURPOSE: Traditionally, initial and weekly chart checks involve checking various parameters in the treatment management system against the expected treatment parameters and machine settings. This process is time-consuming and labor intensive. We explore utilizing the Varian TrueBeam log files (Varian Medical System, Palo Alto, CA), which contain the complete delivery parameters for an end-to-end verification of daily patient treatments. METHODS AND MATERIALS: An in-house software tool for 3-dimensional (3D) conformal therapy, enhanced dynamic wedge delivery, intensity modulated radiation therapy (IMRT), volumetric modulated radiation therapy, flattening filter-free mode, and electron therapy treatment verification was developed. The software reads the Varian TrueBeam log files, extracts the delivered parameters, and compares them against the original treatment planning data. In addition to providing an end-to-end data transfer integrity check, the tool also verifies the accuracy of treatment deliveries. This is performed as part of the initial chart check for IMRT plans and after first fraction for the 3D plans. The software was validated for consistency and accuracy for IMRT and 3D fields.
RESULTS: Based on the validation results the accuracy of MLC, jaw and gantry positions were well within the expected values. The patient quality assurance results for 127 IMRT patients and 51 conventional fields were within 0.25 mm for multileaf collimator positions, 0.3 degree for gantry angles, 0.13 monitor units for monitor unit delivery accuracy, and 1 mm for jaw positions. The delivered dose rates for the flattening filter-free modes were within 1% of the planned dose rates.
CONCLUSIONS: The end-to-end data transfer check using TrueBeam log files and the treatment delivery parameter accuracy check provides an efficient, reliable beam parameter check process for various radiation delivery techniques.
Copyright © 2013 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2013        PMID: 24674419     DOI: 10.1016/j.prro.2012.11.013

Source DB:  PubMed          Journal:  Pract Radiat Oncol        ISSN: 1879-8500


  11 in total

1.  The use of log file analysis within VMAT audits.

Authors:  Conor K McGarry; Christina E Agnew; Mohammad Hussein; Yatman Tsang; Alan R Hounsell; Catharine H Clark
Journal:  Br J Radiol       Date:  2016-04-13       Impact factor: 3.039

2.  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

3.  A method to reconstruct and apply 3D primary fluence for treatment delivery verification.

Authors:  Shi Liu; Thomas R Mazur; Harold Li; Austen Curcuru; Olga L Green; Baozhou Sun; Sasa Mutic; Deshan Yang
Journal:  J Appl Clin Med Phys       Date:  2016-12-08       Impact factor: 2.102

4.  Practical approach for pretreatment verification of IMRT with flattening filter free(FFF) beams using Varian Portal Dosimetry.

Authors:  Soonki Min; Young Eun Choi; Jungwon Kwak; Byungchul Cho
Journal:  J Appl Clin Med Phys       Date:  2014-01-08       Impact factor: 2.102

5.  Validation of a modern second-check dosimetry system using a novel verification phantom.

Authors:  Daniel G McDonald; Dustin J Jacqmin; Christopher J Mart; Nicholas C Koch; Jean L Peng; Michael S Ashenafi; Mario A Fugal; Kenneth N Vanek
Journal:  J Appl Clin Med Phys       Date:  2017-01       Impact factor: 2.102

6.  Correlation of the gamma passing rates with the differences in the dose-volumetric parameters between the original VMAT plans and actual deliveries of the VMAT plans.

Authors:  Jong Min Park; Chang Heon Choi; Hong-Gyun Wu; Jung-In Kim
Journal:  PLoS One       Date:  2020-12-29       Impact factor: 3.240

7.  Evaluation of 4-Hz log files and secondary Monte Carlo dose calculation as patient-specific quality assurance for VMAT prostate plans.

Authors:  Philipp Szeverinski; Matthias Kowatsch; Thomas Künzler; Marco Meinschad; Patrick Clemens; Alexander F DeVries
Journal:  J Appl Clin Med Phys       Date:  2021-06-20       Impact factor: 2.102

8.  Correlation of phantom-based and log file patient-specific QA with complexity scores for VMAT.

Authors:  Christina E Agnew; Denise M Irvine; Conor K McGarry
Journal:  J Appl Clin Med Phys       Date:  2014-11-08       Impact factor: 2.102

9.  Patient-specific quality assurance using machine log files analysis for stereotactic body radiation therapy (SBRT).

Authors:  Vivian U Y Chow; Monica W K Kan; Anthony T C Chan
Journal:  J Appl Clin Med Phys       Date:  2020-10-19       Impact factor: 2.243

10.  Cross verification of independent dose recalculation, log files based, and phantom measurement-based pretreatment quality assurance for volumetric modulated arc therapy.

Authors:  Ce Han; Jinling Yi; Kecheng Zhu; Yongqiang Zhou; Yao Ai; Xiaomin Zheng; Congying Xie; Xiance Jin
Journal:  J Appl Clin Med Phys       Date:  2020-10-01       Impact factor: 2.243

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