Evidence map›Paper›PMID 35699495›Full record

ArticleJNCI cancer spectrum2022

Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration.

Melissa Treviño, George Birdsong, Ann Carrigan, Peter Choyke, Trafton Drew, Miguel Eckstein, Anna Fernandez, Brandon D Gallas, Maryellen Giger, Stephen M Hewitt and 18 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JNCI cancer spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Controllable Medical Image Generation via GAN.Journal of perceptual imaging · 2022
    Article
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

28 authors at 20 institutions in 2 countries.

Melissa TreviñoBehavioral Research Program, National Cancer Institute, Rockville, MD, USA.
George BirdsongDepartment of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA.
Ann CarriganAustralian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia.ORCID 0000-0002-2525-9241
Peter ChoykeMolecular Imaging Program, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0003-1086-8826
Trafton DrewDepartment of Psychology, University of Utah, Salt Lake City, UT, USA.
Miguel EcksteinDepartment of Psychological & Brain Science, University of California, Santa Barbara, CA, USA.
Anna FernandezSurveillance Research Program, National Cancer Institute, Rockville, MD, USA.
Brandon D GallasDivision of Imaging Diagnostics, and Software Reliability, US Food and Drug Administration, Silver Spring, MD, USA.ORCID 0000-0001-7332-1620
Maryellen GigerDepartment of Radiology, University of Chicago, Chicago, IL, USA.ORCID 0000-0001-5482-9728
Stephen M HewittLaboratory of Pathology, National Cancer Institute, Bethesda, MD, USA.
Todd S HorowitzBehavioral Research Program, National Cancer Institute, Rockville, MD, USA.ORCID 0000-0001-5571-6266
Yuhong V JiangDepartment of Psychology, University of Minnesota, Minneapolis, MN, USA.
Bonnie KudrickTransportation Security Administration, Springfield, VA, USA.
Susana Martinez-CondeDepartment of Ophthalmology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.ORCID 0000-0003-4600-9767
Stephen MitroffDepartment of Psychology, The George Washington University, Washington, DC, USA.ORCID 0000-0003-3524-6396
Linda NebelingBehavioral Research Program, National Cancer Institute, Rockville, MD, USA.
Joseph SaltzDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA.ORCID 0000-0002-3451-2165
Frank SamuelsonDivision of Imaging Diagnostics, and Software Reliability, US Food and Drug Administration, Silver Spring, MD, USA.ORCID 0000-0002-1130-0303
Steven E SeltzerDepartment of Radiology, Brigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0002-1265-8040
Behrouz ShabestariDivision of Health Informatics Technologies, National Institute of Biomedical Imaging and Bioengineering, Rockville, MD, USA.
Lalitha ShankarCancer Imaging Program, National Cancer Institute, Rockville, MD, USA.
Eliot SiegelDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Mike TilkinAmerican College of Radiology, Reston, VA, USA.
Jennifer S TruebloodDepartment of Psychology, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0002-9019-6574
Alison L Van DykeSurveillance Research Program, National Cancer Institute, Rockville, MD, USA.
Aradhana M VenkatesanDepartment of Abdominal Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
David WhitneyDepartment of Psychology, University of California, Berkeley, CA, USA.ORCID 0000-0002-4531-5570
Jeremy M WolfeDepartment of Radiology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-6475-1984
National Cancer Institute · USBrigham and Women's Hospital · USUnited States Food and Drug Administration · USAmerican College of Radiology · USBooz Allen Hamilton (United States) · USEmory University · USGeorge Washington University · USMacquarie University · AUNational Center for Complementary and Integrative Health · USNational Institute of Biomedical Imaging and Bioengineering · USStony Brook University · USSUNY Downstate Health Sciences University · USThe University of Texas MD Anderson Cancer Center · USTransportation Security AdministrationUniversity of California, Berkeley · USUniversity of California, Santa Barbara · USUniversity of Chicago · USUniversity of Maryland, Baltimore · USUniversity of Minnesota · USUniversity of Utah · US

Funding

Growth Factor Imaging and PhotoimmunotherapyZIABC010656 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2009 to 2024
$31.6M
Experimental Pathology Laboratory (EPL)ZICBC011638 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HEWITT, STEPHEN · 2015 to 2025
$16.6M
6 · The paper itself

Abstract

Medical image interpretation is central to detecting, diagnosing, and staging cancer and many other disorders. At a time when medical imaging is being transformed by digital technologies and artificial intelligence, understanding the basic perceptual and cognitive processes underlying medical image interpretation is vital for increasing diagnosticians' accuracy and performance, improving patient outcomes, and reducing diagnostician burnout. Medical image perception remains substantially understudied. In September 2019, the National Cancer Institute convened a multidisciplinary panel of radiologists and pathologists together with researchers working in medical image perception and adjacent fields of cognition and perception for the "Cognition and Medical Image Perception Think Tank." The Think Tank's key objectives were to identify critical unsolved problems related to visual perception in pathology and radiology from the perspective of diagnosticians, discuss how these clinically relevant questions could be addressed through cognitive and perception research, identify barriers and solutions for transdisciplinary collaborations, define ways to elevate the profile of cognition and perception research within the medical image community, determine the greatest needs to advance medical image perception, and outline future goals and strategies to evaluate progress. The Think Tank emphasized diagnosticians' perspectives as the crucial starting point for medical image perception research, with diagnosticians describing their interpretation process and identifying perceptual and cognitive problems that arise. This article reports the deliberations of the Think Tank participants to address these objectives and highlight opportunities to expand research on medical image perception.

Indexed as

Artificial IntelligenceRadiologyCognitionDiagnostic ImagingHumansVisual Perception

Identifiers

PMID35699495
PMCPMC8826981
OpenAlexW4205675094

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.