Evidence map›Paper›PMID 41236239›Full record

ArticleDermatology practical & conceptual2025

Pigment Network Analysis in Melanoma and Nevi: Retrospective Study from Snippets to Full Dermoscopic Images.

Noa Kremer, Isabella N Dana, Emmanouil Chousakos, Larissa M Pastore, Allan C Halpern, Stephen W Dusza, Jochen Weber, Ofer Reiter, Aimilios Lallas, Cristian Navarrete-Dechent and 8 more

Abstract read
In one paragraph

Article in Dermatology practical & conceptual, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

18 authors.

Noa KremerDermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA.
Isabella N DanaDermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA.
Emmanouil Chousakos1st Department of Pathology, Medical School, National & Kapodistrian University of Athens, Greece.
Larissa M PastoreDepartment of Internal Medicine, Cooper University Hospital, Camden, New Jersey, USA.
Allan C HalpernDermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA.
Stephen W DuszaDermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA.
Jochen WeberDermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA.
Ofer ReiterDermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA.
Aimilios LallasFirst Department of Dermatology, Aristotle University School of Medicine, Thessaloniki, Greece.
Cristian Navarrete-DechentDermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA.
Ralph BraunDepartment of Dermatology, University Hospital Zurich, Gloriastrasse, Zurich, Switzerland.
Harold S RabinovitzDepartment of Dermatology, University of Miami Miller School of Medicine, Miami, Florida, USA.
Gustavo CarvalhoCutaneous Oncology Department, A.C. Camargo Cancer Center, São Paulo, Brazil.
Rashek KaziDermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA.
Rozina B ZeidanDermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA.
Shirin BajajDermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA.
Nicholas R KurtanskyDermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA.
Ashfaq A MarghoobDermatology Service, Memorial Sloan Kettering Cancer Center, New York, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

introductionAtypical network is a dermoscopic criterion that helps in the diagnosis of melanoma. Despite its importance, the interpretation of atypical networks varies widely among experts.

objectiveThis study examined the impact of viewing the whole lesion versus viewing foci of pigment network (i.e., snippets) in isolation from within the lesion on expert classification of pigment network in dermoscopic images.

methodSix dermoscopy experts, blinded to the diagnosis, each evaluated a total of 92 images (80 nevi and 12 melanomas) for the presence of typical versus atypical pigment network. While 57% of images had consistent classification of the network between whole lesion and snippets, 43% shifted the network classification between the snippet to the whole lesion view. Melanomas were more prone than nevi to intra-rater discrepancy between whole lesion and snippets (54.2% vs. 41.7%; odds ratio (OR): 1.65; 95% confidence interval (CI): 1.11-2.47). The inter-observer agreement was higher for the snippet view (65.22%) than for the whole lesion view (55%).

resultsThese findings suggest that both the objective morphology of the pigment network and the subjective interpretation of the network in context with other features within the lesion influence expert classification of pigment network.

conclusionFactors such as the variability in the distribution, thickness, and color of network lines, overall pattern, and other dermoscopic structures likely contributed to the classification changes.

Identifiers

PMID41236239
PMCPMC12615074

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