Evidence map›Paper›PMID 42326238›Full record

ArticleCureus2026

Acral Subcorneal Hematoma Mimicking Melanoma: Dermoscopic Features and Exploratory Digital Color Analysis.

Jesús Iván Martínez-Ortega, Sri Naidnur

Abstract readCase Reports
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Jesús Iván Martínez-OrtegaHistology, Autonomous University of Nuevo Leon, Monterrey, MEX.
Sri NaidnurDermatology, Lake Erie College of Osteopathic Medicine, Greensburg, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acral pigmented lesions pose a diagnostic challenge due to the overlap between benign entities, such as subcorneal hematoma, and acral melanoma. Dermoscopy is a key noninvasive tool that aids in differentiation by revealing subsurface structures not visible to the naked eye. We report the case of a 54-year-old man presenting with an asymptomatic acral pigmented macule on the volar aspect of the finger. Clinically, the lesion appeared dark reddish-brown, raising concern for a melanocytic process; however, dermoscopic evaluation revealed a homogeneous, predominantly red, structureless pattern without melanocytic features. Based on these findings, a subcorneal hematoma was diagnosed, and a conservative approach was adopted. To further explore the discrepancy between clinical and dermoscopic appearance, exploratory digital image analysis was performed. RGB histogram analysis demonstrated a predominance of the red channel in both clinical and dermoscopic images, with a greater relative contribution under dermoscopy. Additional evaluation using the CIELAB color space confirmed the presence of red chromatic components and revealed a shift in relative chromatic contrast between the lesion and surrounding skin. These findings are exploratory and serve to support, rather than establish, the observed optical phenomenon. This case suggests that dermoscopy enhances the visibility and relative contrast of pre-existing chromatic components through optical modulation, rather than generating new information. The observed clinical-dermoscopic discrepancy highlights the role of optical factors and contrast modulation in color perception and underscores the value of dermoscopy in increasing diagnostic confidence and potentially avoiding unnecessary biopsy in appropriate clinical contexts.

Indexed as

acral hematomaacral melanomaacral pigmented lesionsdermoscopyscratch testsubcorneal hematoma

Identifiers

PMID42326238
PMCPMC13282028

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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.