Evidence map›Paper›PMID 25005868›Full record

ArticleJournal of digital imaging2015

Consistency and standardization of color in medical imaging: a consensus report.

Aldo Badano, Craig Revie, Andrew Casertano, Wei-Chung Cheng, Phil Green, Tom Kimpe, Elizabeth Krupinski, Christye Sisson, Stein Skrøvseth, Darren Treanor and 15 more

Open access · hybridAbstract readConsensus Statement
In one paragraph

Article in Journal of digital imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
11.9field-weighted citation impact, top 1% of its field
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

42 citing papers in PubMed, 115 citations in OpenAlex.

  1. Article
  2. On the Use and Application of Virtual Reality in Diagnostic Radiology.Journal of imaging informatics in medicine · 2026
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  7. Digital transformation of pathology - the European Society of Pathology expert opinion paper.Virchows Archiv : an international journal of pathology · 2025
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  8. Hybrid 3D augmented reality for image-guided therapy using autostereoscopic visualization.International journal of computer assisted radiology and surgery · 2025
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  9. Article
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  12. Review
  13. Review
  14. Article
  15. Article
  16. Hyperspectral Information Extraction With Full Resolution From Arbitrary Photographs.IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · 2025
    Article
  17. Review
  18. Article
  19. Review
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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

25 authors at 17 institutions in 6 countries.

Aldo BadanoDivision of Imaging and Applied Mathematics, Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10993 New Hampshire Ave., 20993, Silver Spring, USA, aldo.badano@fda.hhs.gov.
Craig Revie
Andrew Casertano
Wei-Chung Cheng
Phil Green
Tom Kimpe
Elizabeth Krupinski
Christye Sisson
Stein Skrøvseth
Darren Treanor
Paul Boynton
David Clunie
Michael J Flynn
Tatsuo Heki
Stephen Hewitt
Hiroyuki Homma
Andy Masia
Takashi Matsui
Balázs Nagy
Masahiro Nishibori
John Penczek
Thomas Schopf
Yukako Yagi
Hideto Yokoi
Summit on Color in Medical Imaging
National Institute of Standards and Technology · USUnited States Food and Drug Administration · USUniversity Hospital of North Norway · NOBarco (Belgium) · BEBudapest University of Technology and Economics · HUffei (United Kingdom) · GBFujifilm (Japan) · JPHarvard University · USHenry Ford Health System · USInternational University of Health and Welfare · JPKagawa University Hospital · JPLeeds Teaching Hospitals NHS Trust · GBNational Cancer Institute · USOlympus (Japan) · JPRite-Solutions (United States) · USRochester Institute of Technology · USUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article summarizes the consensus reached at the Summit on Color in Medical Imaging held at the Food and Drug Administration (FDA) on May 8-9, 2013, co-sponsored by the FDA and ICC (International Color Consortium). The purpose of the meeting was to gather information on how color is currently handled by medical imaging systems to identify areas where there is a need for improvement, to define objective requirements, and to facilitate consensus development of best practices. Participants were asked to identify areas of concern and unmet needs. This summary documents the topics that were discussed at the meeting and recommendations that were made by the participants. Key areas identified where improvements in color would provide immediate tangible benefits were those of digital microscopy, telemedicine, medical photography (particularly ophthalmic and dental photography), and display calibration. Work in these and other related areas has been started within several professional groups, including the creation of the ICC Medical Imaging Working Group.

Indexed as

ColorDiagnostic ImagingHumansReference StandardsUnited StatesUnited States Food and Drug Administration

Identifiers

PMID25005868
PMCPMC4305059
OpenAlexW1988781559

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.