Evidence map›Paper›PMID 35197796›Full record

ArticleVisual cognition2021

Melanoma in the Blink of an Eye: Pathologists' Rapid Detection, Classification, and Localization of Skin Abnormalities.

Tad T Brunyé, Trafton Drew, Manob Jyoti Saikia, Kathleen F Kerr, Megan M Eguchi, Annie C Lee, Caitlin May, David E Elder, Joann G Elmore

Open access · greenAbstract read
In one paragraph

Article in Visual cognition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Signals of global symmetry are important for abnormality detection in mammograms.Journal of medical imaging (Bellingham, Wash.) · 2023
    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

9 authors at 6 institutions in 1 country.

Tad T BrunyéCenter for Applied Brain and Cognitive Sciences, Tufts University, Medford, MA, USA.
Trafton DrewDepartment of Psychology, University of Utah, Salt Lake City, UT, USA.
Manob Jyoti SaikiaCenter for Applied Brain and Cognitive Sciences, Tufts University, Medford, MA, USA.
Kathleen F KerrDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Megan M EguchiDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Annie C LeeDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, CA, USA.
Caitlin MayDermatopathology Northwest, Bellevue, WA, USA.
David E ElderDivision of Anatomic Pathology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Joann G ElmoreDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, CA, USA.
Tufts University · USUniversity of California, Los Angeles · USUniversity of Washington · USCentral Dermatology · USHospital of the University of Pennsylvania · USUniversity of Utah · US

Funding

Reducing Errors in the Diagnosis of Melanoma and Melanocytic LesionsR01CA201376 · NCI · UNIVERSITY OF WASHINGTON · PI ELMORE, JOANN G, KERR, KATHLEEN F. · 2016 to 2020
$3.2M
NCI NIH HHS R01 CA201376
6 · The paper itself

Abstract

Expert radiologists can quickly extract a basic "gist" understanding of a medical image following less than a second exposure, leading to above-chance diagnostic classification of images. Most of this work has focused on radiology tasks (such as screening mammography), and it is currently unclear whether this pattern of results and the nature of visual expertise underlying this ability are applicable to pathology, another medical imaging domain demanding visual diagnostic interpretation. To further characterize the detection, localization, and diagnosis of medical images, this study examined eye movements and diagnostic decision-making when pathologists were briefly exposed to digital whole slide images of melanocytic skin biopsies. Twelve resident (N = 5), fellow (N = 5), and attending pathologists (N = 2) with experience interpreting dermatopathology briefly viewed 48 cases presented for 500 ms each, and we tracked their eye movements towards histological abnormalities, their ability to classify images as containing or not containing invasive melanoma, and their ability to localize critical image regions. Results demonstrated rapid shifts of the eyes towards critical abnormalities during image viewing, high diagnostic sensitivity and specificity, and a surprisingly accurate ability to localize critical diagnostic image regions. Furthermore, when pathologists fixated critical regions with their eyes, they were subsequently much more likely to successfully localize that region on an outline of the image. Results are discussed relative to models of medical image interpretation and innovative methods for monitoring and assessing expertise development during medical education and training.

Indexed as

diagnostic accuracydigital pathologyEye trackinginterpretive behaviorvisual search

Identifiers

PMID35197796
PMCPMC8863358
OpenAlexW3168090503

What OpenQuestion holds

Textmetadata
LicenceTDM
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.