Evidence map›Paper›PMID 24939005›Full record

ArticleJournal of digital imaging2014

Understanding visual search patterns of dermatologists assessing pigmented skin lesions before and after online training.

Elizabeth A Krupinski, Joseph Chao, Rainer Hofmann-Wellenhof, Lynne Morrison, Clara Curiel-Lewandrowski

Abstract read
In one paragraph

Article in Journal of digital imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Skill, or Style? Classification of Fetal Sonography Eye-Tracking Data.Proceedings of machine learning research · 2023
    Article
  5. Review
  6. 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

5 authors.

Elizabeth A KrupinskiDepartment of Medical Imaging, University of Arizona Tucson, 1609 N Warren Bldg 211 Rm 112, Tucson, AZ, 85724, USA, krupinski@radiology.arizona.edu.
Joseph Chao
Rainer Hofmann-Wellenhof
Lynne Morrison
Clara Curiel-Lewandrowski

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this investigation was to explore the feasibility of characterizing the visual search characteristics of dermatologists evaluating images corresponding to single pigmented skin lesions (PSLs) (close-ups and dermoscopy) as a venue to improve training programs for dermoscopy. Two Board-certified dermatologists and two dermatology residents participated in a phased study. In phase I, they viewed a series of 20 PSL cases ranging from benign nevi to melanoma. The close-up and dermoscopy images of the PSL were evaluated sequentially and rated individually as benign or malignant, while eye position was recorded. Subsequently, the participating subjects completed an online dermoscopy training module that included a pre- and post-test assessing their dermoscopy skills (phase 2). Three months later, the subjects repeated their assessment on the 20 PSLs presented during phase I of the study. Significant differences in viewing time and eye-position parameters were observed as a function of level of expertise. Dermatologists overall have more efficient search than residents generating fewer fixations with shorter dwells. Fixations and dwells associated with decisions changing from benign to malignant or vice versa from photo to dermatoscopic viewing were longer than any other decision, indicating increased visual processing for those decisions. These differences in visual search may have implications for developing tools to teach dermatologists and residents about how to better utilize dermoscopy in clinical practice.

Indexed as

Pattern Recognition, VisualAdultClinical CompetenceComputer-Assisted InstructionDermatologyDermoscopyDiagnosis, DifferentialFeasibility StudiesFemaleFixation, OcularHumansInternship and ResidencyMaleMelanomaMiddle AgedPhysicians

Identifiers

PMID24939005
PMCPMC4391073

What OpenQuestion holds

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Registered trials

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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.