Evidence map›Paper›PMID 34146354›Full record

Trial reportJournal of the European Academy of Dermatology and Venereology : JEADV2021

Perilesional sun damage as a diagnostic clue for pigmented actinic keratosis and Bowen's disease.

P Weber, C Sinz, C Rinner, H Kittler, P Tschandl

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the European Academy of Dermatology and Venereology : JEADV, 2021. 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
–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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

P WeberDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.
C SinzDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-5589-1865
C RinnerCenter for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-3847-5664
H KittlerDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-0051-8016
P TschandlDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-0391-7810

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic sun damage in the background is common in pigmented actinic keratoses and Bowen's disease (pAK/BD). While explainable artificial intelligence (AI) demonstrated increased background attention for pAK/BD, humans frequently miss this clue in dermatoscopic images because they tend to focus on the lesion.

aimTo analyse whether perilesional sun damage is a robust diagnostic clue for pAK/BD and if teaching this clue to dermatoscopy users improves their diagnostic accuracy.

methodsWe assessed the interrater agreement and the frequency of perilesional sun damage in 220 dermatoscopic images and conducted a reader study with 124 dermatoscopy users. The readers were randomly assigned to one of two online tutorials; one tutorial pointed to perilesional sun damage as a clue to pAK/BD (group A) the other did not (group B). In both groups, we compared the frequencies of correct diagnoses before and after receiving the tutorial.

resultsThe frequency of perilesional sun damage was higher in pAK/BD than in other types of pigmented skin lesions and interrater agreement was good (kappa = 0.675). The diagnostic accuracy for pAK/BD improved in both groups of readers (group A: +16.1%, 95%-CI: 9.5-22.7; group B: +13.1%; 95%-CI: 7.1-19.0; P for both <0.001), but the overall accuracy improved only in group A from (59.1% (95%-CI: 55.0-63.1) to 63.5% (95%-CI: 59.5-67.6); P = 0.002).

conclusionPerilesional sun damage is a good clue to differentiate pAK/BD from other pigmented skin lesions in dermatoscopic images, which could be useful for teledermatology. Knowledge of this clue improves the accuracy of dermatoscopy users, which demonstrates that insights from explainable AI can be used to train humans.

Indexed as

Bowen's DiseaseKeratosis, ActinicPigmentation DisordersSkin NeoplasmsArtificial IntelligenceHumans

Identifiers

PMID34146354
PMCPMC8518404

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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.