Evidence map›Paper›PMID 41250739›Full record

ArticleCureus2025

Quantifying Color Variegation in Melanoma Lesions Using Shannon Entropy.

Jesús Iván Martínez-Ortega, Fatima Guadalupe Ramirez Ibarra, Ilse Fernández-Reyna, Alejandra Nicole Macias Quiroga

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Jesús Iván Martínez-OrtegaHistology, Autonomous University of Nuevo León, Monterrey, MEX.
Fatima Guadalupe Ramirez IbarraFaculty of Medicine, Autonomous University of Querétaro, Querétaro, MEX.
Ilse Fernández-ReynaMycology, Dermatological Center of Yucatan, Mérida, MEX.
Alejandra Nicole Macias QuirogaDermatology, Hospital Obrero No. 1, La Paz, BOL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Color variegation is a key dermoscopic sign for melanoma, but lacks objective measurement. We computed Shannon entropy (H) from histograms of smartphone images (iPhone 13 Pro Max) of a histopathologically confirmed superficial spreading melanoma, a benign melanocytic nevus, and their perilesional skin as controls. Relative entropy (ΔH) was calculated to account for baseline skin heterogeneity. Absolute H values were 6.94 (melanoma), 6.67 (nevus), 5.75 (elderly perilesional skin), and 4.39 (young perilesional skin), with ΔH of +1.19 and +2.28, respectively. Entropy differentiated lesions from healthy skin, while ΔH highlighted baseline variability. Limitations include the single-case design, manual region-of-interest delineation, and non-standardized smartphone imaging without controlled lighting or dermoscopic magnification. Shannon entropy provides a reproducible, quantitative measure of color variegation, with potential applications in teledermatology and low-resource settings. Future studies should assess reproducibility across larger cohorts and standardized imaging modalities.

Indexed as

color variegationdermoscopydigital healthimage analysismelanomaquantitative imagingshannon entropyskin cancer detectionsmartphone photographyteledermatology

Identifiers

PMID41250739
PMCPMC12619925

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.