Evidence map›Paper›PMID 27370140›Full record

GuidelineMedical physics2016

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

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 and 2 more

Abstract readConsensus StatementPractice Guideline
In one paragraph

Guideline in Medical physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 259 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
259citing papers in PubMed, 9 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

259 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. AAPM medical physics practice guideline 13.a: HDR brachytherapy, part B.Journal of applied clinical medical physics · 2025
    Guideline
  4. AAPM-RSS Medical Physics Practice Guideline 9.b: SRS-SBRT.Journal of applied clinical medical physics · 2025
    Guideline
  5. Guideline
  6. AAPM medical physics practice guideline 13.a: HDR brachytherapy, part A.Journal of applied clinical medical physics · 2023
    Guideline
  7. Guideline
  8. Guideline
  9. Recommended procedures and responsibilities for radiosurgery (SRS) and extracranial stereotactic body radiotherapy (SBRT): report of the SEOR in collaboration with the SEFM.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Guideline
  10. Article
  11. Review
  12. Article
  13. Article
  14. A technology-specific risk analysis of surface guided radiation therapy.Journal of applied clinical medical physics · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. AI-driven troubleshooting for TrueBeam systems: Development and testing of a GPT-4.1 Chatbot.Technical innovations & patient support in radiation oncology · 2026
    Article

199 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

M Saiful HuqDepartment of Radiation Oncology, University of Pittsburgh Cancer Institute and UPMC CancerCenter, Pittsburgh, Pennsylvania 15232.
Benedick A FraassDepartment of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, California 90048.
Peter B DunscombeDepartment of Oncology, University of Calgary, Calgary T2N 1N4, Canada.
John P GibbonsOchsner Health System, New Orleans, Louisiana 70121.
Geoffrey S IbbottDepartment of Radiation Physics, UT MD Anderson Cancer Center, Houston, Texas 77030.
Arno J MundtDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, San Diego, California 92093-0843.
Sasa MuticDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri 63110.
Jatinder R PaltaDepartment of Radiation Oncology, Virginia Commonwealth University, P.O. Box 980058, Richmond, Virginia 23298.
Frank RathDepartment of Engineering Professional Development, University of Wisconsin, Madison, Wisconsin 53706.
Bruce R ThomadsenDepartment of Medical Physics, University of Wisconsin, Madison, Wisconsin 53705-2275.
Jeffrey F WilliamsonDepartment of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298-0058.
Ellen D YorkeDepartment of Medical Physics, Memorial Sloan-Kettering Center, New York, New York 10065.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

The increasing complexity of modern radiation therapy planning and delivery challenges traditional prescriptive quality management (QM) methods, such as many of those included in guidelines published by organizations such as the AAPM, ASTRO, ACR, ESTRO, and IAEA. These prescriptive guidelines have traditionally focused on monitoring all aspects of the functional performance of radiotherapy (RT) equipment by comparing parameters against tolerances set at strict but achievable values. Many errors that occur in radiation oncology are not due to failures in devices and software; rather they are failures in workflow and process. A systematic understanding of the likelihood and clinical impact of possible failures throughout a course of radiotherapy is needed to direct limit QM resources efficiently to produce maximum safety and quality of patient care. Task Group 100 of the AAPM has taken a broad view of these issues and has developed a framework for designing QM activities, based on estimates of the probability of identified failures and their clinical outcome through the RT planning and delivery process. The Task Group has chosen a specific radiotherapy process required for "intensity modulated radiation therapy (IMRT)" as a case study. The goal of this work is to apply modern risk-based analysis techniques to this complex RT process in order to demonstrate to the RT community that such techniques may help identify more effective and efficient ways to enhance the safety and quality of our treatment processes. The task group generated by consensus an example quality management program strategy for the IMRT process performed at the institution of one of the authors. This report describes the methodology and nomenclature developed, presents the process maps, FMEAs, fault trees, and QM programs developed, and makes suggestions on how this information could be used in the clinic. The development and implementation of risk-assessment techniques will make radiation therapy safer and more efficient.

Indexed as

HumansMedical ErrorsNeoplasmsQuality Assurance, Health CareRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedRisk Assessment

Identifiers

PMID27370140
PMCPMC4985013

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.