Evidence map›Paper›PMID 32311418›Full record

SynthesisInternational journal of radiation oncology, biology, physics2020

A Systematic Review of Contouring Guidelines in Radiation Oncology: Analysis of Frequency, Methodology, and Delivery of Consensus Recommendations.

Diana Lin, Kaitlyn Lapen, Michael V Sherer, Jolie Kantor, Zhigang Zhang, Lindsay M Boyce, Walter Bosch, Deborah Korenstein, Erin F Gillespie

Abstract readSystematic Review
In one paragraph

Synthesis in International journal of radiation oncology, biology, physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–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

38 citing papers in PubMed.

  1. Review
  2. Article
  3. Redefining oropharyngeal cancer in the HPV era: integrating precision medicine and immunotherapeutic frontiers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Artificial intelligence uncertainty quantification in radiotherapy applications - A scoping review.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Evaluation of multiple-vendor AI autocontouring solutions.Radiation oncology (London, England) · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

9 authors.

Diana LinDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Kaitlyn LapenDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Michael V ShererDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California.
Jolie KantorDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Zhigang ZhangDepartment of Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Lindsay M BoyceMemorial Sloan Kettering Library, Memorial Sloan Kettering Cancer Center, New York, New York.
Walter BoschDepartment of Radiation Oncology, Washington University in St Louis, St Louis, Missouri.
Deborah KorensteinCenter for Health Policy and Outcomes, Memorial Sloan Kettering Cancer Center, New York, New York.
Erin F GillespieDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York; Center for Health Policy and Outcomes, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: gillespe@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
WASHINGTON UNIVERSITY / SITEMAN CANCER CENTER LEAD ACADEMIC SITEUG1CA233339 · NCI · WASHINGTON UNIVERSITY · PI NANCY L BARTLETT, Clifford Grant Robinson · 2019 to 2026
$11.3M
AHRQ HHS R18 HS026881NCI NIH HHS P30 CA008748NCI NIH HHS UG1 CA233339
6 · The paper itself

Abstract

purposeClinical trials have described variation in radiation therapy plan quality, of which contour delineation is a key component, and linked this to inferior patient outcomes. In response, consensus guidelines have been developed to standardize contour delineation. This investigation assesses trends in contouring guidelines and examines the methodologies used to generate and deliver recommendations. METHODS AND MATERIALS: We conducted a literature search for contouring guidelines published after 1995. Of 11,124 citations, 332 were identified for full-text review to determine inclusion. We abstracted articles for the intent of the consensus process, key elements of the methodology, and mode of information delivery. A Fisher exact test was used to identify elements that differed among the guidelines generated for clinical trials and routine care.

resultsOverall, 142 guidelines were included, of which 16 (11%) were developed for a clinical trial. There was an increase in guideline publication over time (0 from 1995-1999 vs 65 from 2015- 2019; P = .03), particularly among recommendations for stereotactic radiation and brachytherapy. The most common disease sites were head and neck (24%), gastrointestinal (12%), and gynecologic (12%). Methods used to develop recommendations included literature review (50%) and image-based methods (45%). Panels included a median of 10 physicians (interquartile range, 7-16); 70% of panels represented multidisciplinary expertise. Guidelines developed for a clinical trial were more likely to include an image-based approach, with quantitative analysis of contours submitted by the panel members and to publish a full set of image-based recommendations (P < .005).

conclusionsThis review highlights an increase in consensus contouring recommendations over time. Guidelines focus on disease sites, such as head and neck, with evidence supporting a correlation between treatment planning and patient outcomes, although variation exists in the approach to the consensus process. Elements that may improve guideline acceptance (ie, image-based consensus contour analysis) and usability (ie, inclusion of a full image set) are more common in guidelines developed for clinical trials.

Indexed as

ConsensusPractice Guidelines as TopicRadiation OncologyHumansRadiotherapy Planning, Computer-Assisted

Identifiers

PMID32311418
PMCPMC8262136

What OpenQuestion holds

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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.