Literature DB >> 31967655

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

Eric Ford1, Leigh Conroy2, Lei Dong3, Luis Fong de Los Santos4, Anne Greener5, Grace Gwe-Ya Kim6, Jennifer Johnson7, Perry Johnson8, James G Mechalakos9, Brian Napolitano10, Stephanie Parker11, Deborah Schofield12, Koren Smith13, Ellen Yorke9, Michelle Wells14.   

Abstract

BACKGROUND: While the review of radiotherapy treatment plans and charts by a medical physicist is a key component of safe, high-quality care, very few specific recommendations currently exist for this task. AIMS: The goal of TG-275 is to provide practical, evidence-based recommendations on physics plan and chart review for radiation therapy. While this report is aimed mainly at medical physicists, others may benefit including dosimetrists, radiation therapists, physicians and other professionals interested in quality management.
METHODS: The scope of the report includes photon/electron external beam radiotherapy (EBRT), proton radiotherapy, as well as high-dose rate (HDR) brachytherapy for gynecological applications (currently the highest volume brachytherapy service in most practices). The following review time points are considered: initial review prior to treatment, weekly review, and end-of-treatment review. The Task Group takes a risk-informed approach to developing recommendations. A failure mode and effects analysis was performed to determine the highest-risk aspects of each process. In the case of photon/electron EBRT, a survey of all American Association of Physicists in Medicine (AAPM) members was also conducted to determine current practices. A draft of this report was provided to the full AAPM membership for comment through a 3-week open-comment period, and the report was revised in response to these comments.
RESULTS: The highest-risk failure modes included 112 failure modes in photon/electron EBRT initial review, 55 in weekly and end-of-treatment review, 24 for initial review specific to proton therapy, and 48 in HDR brachytherapy. A 103-question survey on current practices was released to all AAPM members who self-reported as working in the radiation oncology field. The response rate was 33%. The survey data and risk data were used to inform recommendations. DISCUSSION: Tables of recommended checks are presented and recommendations for best practice are discussed. Suggestions to software vendors are also provided.
CONCLUSIONS: TG-275 provides specific recommendations for physics plan and chart review which should enhance the safety and quality of care for patients receiving radiation treatments.
© 2020 American Association of Physicists in Medicine.

Entities:  

Keywords:  TG275; plan review; quality assurance

Mesh:

Year:  2020        PMID: 31967655      PMCID: PMC9012523          DOI: 10.1002/mp.14030

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


  41 in total

1.  Quality control quantification (QCQ): a tool to measure the value of quality control checks in radiation oncology.

Authors:  Eric C Ford; Stephanie Terezakis; Annette Souranis; Kendra Harris; Hiram Gay; Sasa Mutic
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-06-09       Impact factor: 7.038

2.  Automated radiation therapy treatment plan workflow using a commercial application programming interface.

Authors:  Lindsey A Olsen; Clifford G Robinson; Guangrong R He; H Omar Wooten; Sridhar Yaddanapudi; Sasa Mutic; Deshan Yang; Kevin L Moore
Journal:  Pract Radiat Oncol       Date:  2013-12-19

3.  Failure modes and effects analysis applied to high-dose-rate brachytherapy treatment planning.

Authors:  D Allan Wilkinson; Matthew D Kolar
Journal:  Brachytherapy       Date:  2013-05-07       Impact factor: 2.362

4.  Evaluation of near-miss and adverse events in radiation oncology using a comprehensive causal factor taxonomy.

Authors:  Matthew B Spraker; Robert Fain; Olga Gopan; Jing Zeng; Matthew Nyflot; Loucille Jordan; Gabrielle Kane; Eric Ford
Journal:  Pract Radiat Oncol       Date:  2017 Sep - Oct

Review 5.  Incident learning in radiation oncology: A review.

Authors:  Eric C Ford; Suzanne B Evans
Journal:  Med Phys       Date:  2018-04-11       Impact factor: 4.071

6.  A framework for automated contour quality assurance in radiation therapy including adaptive techniques.

Authors:  M B Altman; J A Kavanaugh; H O Wooten; O L Green; T A DeWees; H Gay; W L Thorstad; H Li; S Mutic
Journal:  Phys Med Biol       Date:  2015-06-17       Impact factor: 3.609

7.  RO-ILS: Radiation Oncology Incident Learning System: A report from the first year of experience.

Authors:  David J Hoopes; Adam P Dicker; Nadine L Eads; Gary A Ezzell; Benedick A Fraass; Theresa M Kwiatkowski; Kathy Lash; Gregory A Patton; Tom Piotrowski; Cindy Tomlinson; Eric C Ford
Journal:  Pract Radiat Oncol       Date:  2015-06-25

8.  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

9.  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

Review 10.  Automating the initial physics chart checking process.

Authors:  Eli E Furhang; James Dolan; Jussi K Sillanpaa; Louis B Harrison
Journal:  J Appl Clin Med Phys       Date:  2009-02-11       Impact factor: 2.102

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  15 in total

Review 1.  Automated Plan Checking Software Demonstrates Continuous and Sustained Improvements in Safety and Quality: A 3-year Longitudinal Analysis.

Authors:  Delaney Stuhr; Ying Zhou; Hai Pham; Jian-Ping Xiong; Shi Liu; James G Mechalakos; Sean L Berry
Journal:  Pract Radiat Oncol       Date:  2021-10-17

2.  Impact of random outliers in auto-segmented targets on radiotherapy treatment plans for glioblastoma.

Authors:  Robert Poel; Elias Rüfenacht; Ekin Ermis; Michael Müller; Michael K Fix; Daniel M Aebersold; Peter Manser; Mauricio Reyes
Journal:  Radiat Oncol       Date:  2022-10-22       Impact factor: 4.309

3.  Using failure mode and effects analysis (FMEA) to generate an initial plan check checklist for improved safety in radiation treatment.

Authors:  Prema Rassiah; Fan-Chi Frances Su; Y Jessica Huang; Dan Spitznagel; Vikren Sarkar; Martin W Szegedi; Hui Zhao; Adam B Paxton; Geoff Nelson; Bill J Salter
Journal:  J Appl Clin Med Phys       Date:  2020-06-25       Impact factor: 2.102

4.  Computer automation for physics chart check should be adopted in clinic to replace manual chart checking for radiotherapy.

Authors:  Edward L Clouser; Quan Chen; Yi Rong
Journal:  J Appl Clin Med Phys       Date:  2021-02-02       Impact factor: 2.102

5.  Toward automation of initial chart check for photon/electron EBRT: the clinical implementation of new AAPM task group reports and automation techniques.

Authors:  Huijun Xu; Baoshe Zhang; Mariana Guerrero; Sung-Woo Lee; Narottam Lamichhane; Shifeng Chen; Byongyong Yi
Journal:  J Appl Clin Med Phys       Date:  2021-03-11       Impact factor: 2.102

6.  Three discipline collaborative radiation therapy (3DCRT) special debate: A physicist's time is better spent in direct patient/provider interaction than in the patient's chart.

Authors:  Todd F Atwood; Narottam Lamichhane; Krisha Howell; Stephanie E Weiss; Louise Bird; Charles Pearson; Michael C Joiner; Michael M Dominello; Jay Burmeister
Journal:  J Appl Clin Med Phys       Date:  2022-02-15       Impact factor: 2.243

7.  Assessing initial plan check efficacy using TG 275 failure modes and incident reporting.

Authors:  Adam C Riegel; Cynthia Polvorosa; Anurag Sharma; Jameson Baker; William Ge; Joseph Lauritano; Emel Calugaru; Jenghwa Chang; Jeffrey Antone; Angela Oliveira; Walkiria Buckenberger; William Chen; Yijian Cao; Ajay Kapur; Louis Potters
Journal:  J Appl Clin Med Phys       Date:  2022-05-10       Impact factor: 2.243

8.  Development, implementation, and associated challenges of a new HDR brachytherapy program.

Authors:  Daniel J Scanderbeg; Catheryn Yashar; Zoubir Ouhib; Anuja Jhingran; John Einck
Journal:  Brachytherapy       Date:  2020-09-17       Impact factor: 2.362

9.  Automatic contouring system for cervical cancer using convolutional neural networks.

Authors:  Dong Joo Rhee; Anuja Jhingran; Bastien Rigaud; Tucker Netherton; Carlos E Cardenas; Lifei Zhang; Sastry Vedam; Stephen Kry; Kristy K Brock; William Shaw; Frederika O'Reilly; Jeannette Parkes; Hester Burger; Nazia Fakie; Chris Trauernicht; Hannah Simonds; Laurence E Court
Journal:  Med Phys       Date:  2020-10-09       Impact factor: 4.071

10.  Three discipline collaborative radiation therapy (3DCRT) special debate: Peer review in radiation oncology is more effective today than 20 years ago.

Authors:  Anis Ahmad; Lakshmi Santanam; Abhishek A Solanki; Laura Padilla; Erina Vlashi; Patrizia Guerrieri; Michael M Dominello; Jay Burmeister; Michael C Joiner
Journal:  J Appl Clin Med Phys       Date:  2020-11-24       Impact factor: 2.243

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