Evidence map›Paper›PMID 34636845›Full record

ArticleJournal of vision2021

More scanning, but not zooming, is associated with diagnostic accuracy in evaluating digital breast pathology slides.

Trafton Drew, Mark Lavelle, Kathleen F Kerr, Hannah Shucard, Tad T Brunyé, Donald L Weaver, Joann G Elmore

Open access · goldAbstract read
In one paragraph

Article in Journal of vision, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Machine learning classification of diagnostic accuracy in pathologists interpreting breast biopsies.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  7. Article
  8. Article
  9. Digital pathology: the effect of experience on visual search behavior.Journal of medical imaging (Bellingham, Wash.) · 2022
    Article
  10. 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

7 authors at 5 institutions in 1 country.

Trafton DrewDepartment of Psychology, University of Utah, Salt Lake City, UT, USA.
Mark LavelleDepartment of Psychology, University of Utah, Salt Lake City, UT, USA.
Kathleen F KerrDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Hannah ShucardDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Tad T BrunyéDepartment of Psychology, Tufts University, Medford, MA, USA.
Donald L WeaverDepartment of Pathology & Laboratory Medicine, University of Vermont, Burlington, VT, USA.
Joann G ElmoreDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
University of Utah · USUniversity of Washington · USTufts University · USUniversity of California, Los Angeles · USUniversity of Vermont · US

Funding

Reader Accuracy in Pathology Interpretation and Diagnosis: Perception and Cognition (RAPID-PC)R01CA225585 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ELMORE, JOANN G, WEAVER, DONALD LEE · 2018 to 2022
$3.2M
NCI NIH HHS R01 CA225585
6 · The paper itself

Abstract

Diagnoses of medical images can invite strikingly diverse strategies for image navigation and visual search. In computed tomography screening for lung nodules, distinct strategies, termed scanning and drilling, relate to both radiologists' clinical experience and accuracy in lesion detection. Here, we examined associations between search patterns and accuracy for pathologists (N = 92) interpreting a diverse set of breast biopsy images. While changes in depth in volumetric images reveal new structures through movement in the z-plane, in digital pathology changes in depth are associated with increased magnification. Thus, "drilling" in radiology may be more appropriately termed "zooming" in pathology. We monitored eye-movements and navigation through digital pathology slides to derive metrics of how quickly the pathologists moved through XY (scanning) and Z (zooming) space. Prior research on eye-movements in depth has categorized clinicians as either "scanners" or "drillers." In contrast, we found that there was no reliable association between a clinician's tendency to scan or zoom while examining digital pathology slides. Thus, in the current work we treated scanning and zooming as continuous predictors rather than categorizing as either a "scanner" or "zoomer." In contrast to prior work in volumetric chest images, we found significant associations between accuracy and scanning rate but not zooming rate. These findings suggest fundamental differences in the relative value of information types and review behaviors across two image formats. Our data suggest that pathologists gather critical information by scanning on a given plane of depth, whereas radiologists drill through depth to interrogate critical features.

Indexed as

BreastEye MovementsBiopsyHumansTomography, X-Ray Computed

Identifiers

PMID34636845
PMCPMC8525842
OpenAlexW3205903408

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.