Literature DB >> 21669503

Technological advancements and error rates in radiation therapy delivery.

Danielle N Margalit1, Yu-Hui Chen, Paul J Catalano, Kenneth Heckman, Todd Vivenzio, Kristopher Nissen, Luciant D Wolfsberger, Robert A Cormack, Peter Mauch, Andrea K Ng.   

Abstract

PURPOSE: Technological advances in radiation therapy (RT) delivery have the potential to reduce errors via increased automation and built-in quality assurance (QA) safeguards, yet may also introduce new types of errors. Intensity-modulated RT (IMRT) is an increasingly used technology that is more technically complex than three-dimensional (3D)-conformal RT and conventional RT. We determined the rate of reported errors in RT delivery among IMRT and 3D/conventional RT treatments and characterized the errors associated with the respective techniques to improve existing QA processes. METHODS AND MATERIALS: All errors in external beam RT delivery were prospectively recorded via a nonpunitive error-reporting system at Brigham & Women's Hospital/Dana Farber Cancer Institute. Errors are defined as any unplanned deviation from the intended RT treatment and are reviewed during monthly departmental quality improvement meetings. We analyzed all reported errors since the routine use of IMRT in our department, from January 2004 to July 2009. Fisher's exact test was used to determine the association between treatment technique (IMRT vs. 3D/conventional) and specific error types. Effect estimates were computed using logistic regression.
RESULTS: There were 155 errors in RT delivery among 241,546 fractions (0.06%), and none were clinically significant. IMRT was commonly associated with errors in machine parameters (nine of 19 errors) and data entry and interpretation (six of 19 errors). IMRT was associated with a lower rate of reported errors compared with 3D/conventional RT (0.03% vs. 0.07%, p = 0.001) and specifically fewer accessory errors (odds ratio, 0.11; 95% confidence interval, 0.01-0.78) and setup errors (odds ratio, 0.24; 95% confidence interval, 0.08-0.79).
CONCLUSIONS: The rate of errors in RT delivery is low. The types of errors differ significantly between IMRT and 3D/conventional RT, suggesting that QA processes must be uniquely adapted for each technique. There was a lower error rate with IMRT compared with 3D/conventional RT, highlighting the need for sustained vigilance against errors common to more traditional treatment techniques.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21669503     DOI: 10.1016/j.ijrobp.2011.04.036

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


  5 in total

1.  The report of Task Group 100 of the AAPM: Application of risk analysis methods to radiation therapy quality management.

Authors:  M Saiful Huq; Benedick A Fraass; Peter B Dunscombe; John P Gibbons; Geoffrey S Ibbott; Arno J Mundt; Sasa Mutic; Jatinder R Palta; Frank Rath; Bruce R Thomadsen; Jeffrey F Williamson; Ellen D Yorke
Journal:  Med Phys       Date:  2016-07       Impact factor: 4.071

2.  Investigation of error detection capabilities of phantom, EPID and MLC log file based IMRT QA methods.

Authors:  Dewayne L Defoor; Sotirios Stathakis; Joseph E Roring; Neil A Kirby; Panayiotis Mavroidis; Mohammad Obeidat; Nikos Papanikolaou
Journal:  J Appl Clin Med Phys       Date:  2017-06-06       Impact factor: 2.102

3.  Integration of automation into an existing clinical workflow to improve efficiency and reduce errors in the manual treatment planning process for total body irradiation (TBI).

Authors:  David H Thomas; Brian Miller; Rachel Rabinovitch; Sarah Milgrom; Brian Kavanagh; Quentin Diot; Moyed Miften; Leah K Schubert
Journal:  J Appl Clin Med Phys       Date:  2020-05-19       Impact factor: 2.102

4.  Chasing Zero Harm in Radiation Oncology: Using Pre-treatment Peer Review.

Authors:  Srinivasan Vijayakumar; William Neil Duggar; Satya Packianathan; Bart Morris; Chunli Claus Yang
Journal:  Front Oncol       Date:  2019-04-24       Impact factor: 6.244

5.  A method for in vivo treatment verification of IMRT and VMAT based on electronic portal imaging device.

Authors:  Jun Zhang; Xiuqing Li; Miaomiao Lu; Qilin Zhang; Xile Zhang; Ruijie Yang; Maria F Chan; Junhai Wen
Journal:  Radiat Oncol       Date:  2021-12-04       Impact factor: 3.481

  5 in total

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