Quantifying Color Variegation in Melanoma Lesions Using Shannon Entropy

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.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2025-10-17
DOI
https://doi.org/10.7759/cureus.94779
Citations
1
Primary Topic
melanin and skin pigmentation
Type
article
Field-Weighted Citation Impact
1.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantifying Color Variegation in Melanoma Lesions Using Shannon Entropy

Jesús Iván Martínez-Ortega, Ilse Fernández-Reyna, Alejandra Nicole Macias Quiroga, Fatima Guadalupe Ramirez Ibarra
1 citations
Cureus
melanin and skin pigmentation
1.15
article

Quantifying Color Variegation in Melanoma Lesions Using Shannon Entropy

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

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.

CureusVol. 17(10)
Autonomous University of Queretaro (MX), Universidad Autónoma de Nuevo León (MX), Instituto Tecnológico de Mérida (MX), Hospital Universitario La Paz (ES), Secretaría de Salud de Jalisco (MX), Centro de Investigación y Proyectos en Ambiente y Desarrollo (MX)
Openalex Percentile: Top 19%
melanin and skin pigmentation
1.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.