Literature DB >> 22380386

Automated radiotherapy treatment plan integrity verification.

Deshan Yang1, Kevin L Moore.   

Abstract

PURPOSE: In our clinic, physicists spend from 15 to 60 min to verify the physical and dosimetric integrity of radiotherapy plans before presentation to radiation oncology physicians for approval. The purpose of this study was to design and implement a framework to automate as many elements of this quality control (QC) step as possible.
METHODS: A comprehensive computer application was developed to carry out a majority of these verification tasks in the Philips PINNACLE treatment planning system (TPS). This QC tool functions based on both PINNACLE scripting elements and PERL sub-routines. The core of this technique is the method of dynamic scripting, which involves a PERL programming module that is flexible and powerful for treatment plan data handling. Run-time plan data are collected, saved into temporary files, and analyzed against standard values and predefined logical rules. The results were summarized in a hypertext markup language (HTML) report that is displayed to the user.
RESULTS: This tool has been in clinical use for over a year. The occurrence frequency of technical problems, which would cause delays and suboptimal plans, has been reduced since clinical implementation.
CONCLUSIONS: In addition to drastically reducing the set of human-driven logical comparisons, this QC tool also accomplished some tasks that are otherwise either quite laborious or impractical for humans to verify, e.g., identifying conflicts amongst IMRT optimization objectives.

Entities:  

Mesh:

Year:  2012        PMID: 22380386     DOI: 10.1118/1.3683646

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


  15 in total

1.  Process-based quality management for clinical implementation of adaptive radiotherapy.

Authors:  Camille E Noel; Lakshmi Santanam; Parag J Parikh; Sasa Mutic
Journal:  Med Phys       Date:  2014-08       Impact factor: 4.071

2.  Strategies for effective physics plan and chart review in radiation therapy: Report of AAPM Task Group 275.

Authors:  Eric Ford; Leigh Conroy; Lei Dong; Luis Fong de Los Santos; Anne Greener; Grace Gwe-Ya Kim; Jennifer Johnson; Perry Johnson; James G Mechalakos; Brian Napolitano; Stephanie Parker; Deborah Schofield; Koren Smith; Ellen Yorke; Michelle Wells
Journal:  Med Phys       Date:  2020-04-15       Impact factor: 4.071

3.  Improving treatment plan evaluation with automation.

Authors:  Elizabeth L Covington; Xiaoping Chen; Kelly C Younge; Choonik Lee; Martha M Matuszak; Marc L Kessler; Wayne Keranen; Eduardo Acosta; Ashley M Dougherty; Stephanie E Filpansick; Jean M Moran
Journal:  J Appl Clin Med Phys       Date:  2016-11-08       Impact factor: 2.102

4.  AutoLock: a semiautomated system for radiotherapy treatment plan quality control.

Authors:  Joseph M Dewhurst; Matthew Lowe; Mark J Hardy; Christopher J Boylan; Philip Whitehurst; Carl G Rowbottom
Journal:  J Appl Clin Med Phys       Date:  2015-05-08       Impact factor: 2.102

5.  Early detection of potential errors during patient treatment planning.

Authors:  Danielle Lack; Jian Liang; Lisa Benedetti; Cory Knill; Di Yan
Journal:  J Appl Clin Med Phys       Date:  2018-07-05       Impact factor: 2.102

6.  Optimizing efficiency and safety in external beam radiotherapy using automated plan check (APC) tool and six sigma methodology.

Authors:  Shi Liu; Karl K Bush; Julian Bertini; Yabo Fu; Jonathan M Lewis; Daniel J Pham; Yong Yang; Thomas R Niedermayr; Lawrie Skinner; Lei Xing; Beth M Beadle; Annie Hsu; Nataliya Kovalchuk
Journal:  J Appl Clin Med Phys       Date:  2019-08       Impact factor: 2.102

7.  Methods to model and predict the ViewRay treatment deliveries to aid patient scheduling and treatment planning.

Authors:  Shi Liu; Yu Wu; H Omar Wooten; Olga Green; Brent Archer; Harold Li; Deshan Yang
Journal:  J Appl Clin Med Phys       Date:  2016-03-08       Impact factor: 2.102

8.  A systematic evaluation of the error detection abilities of a new diode transmission detector.

Authors:  Vikren Sarkar; Adam Paxton; Jeremy Kunz; Martin Szegedi; Geoff Nelson; Prema Rassiah-Szegedi; Hui Zhao; Y Jessica Huang; Frances Su; Bill J Salter
Journal:  J Appl Clin Med Phys       Date:  2019-08-05       Impact factor: 2.102

9.  Efficiency and safety increases after the implementation of a multi-institutional automated plan check tool at our institution.

Authors:  Sean L Berry; Ying Zhou; Hai Pham; Sharif Elguindi; James G Mechalakos; Margie Hunt
Journal:  J Appl Clin Med Phys       Date:  2020-03-20       Impact factor: 2.102

10.  Automating checks of plan check automation.

Authors:  Tarek Halabi; Hsiao-Ming Lu
Journal:  J Appl Clin Med Phys       Date:  2014-07-08       Impact factor: 2.102

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