Evidence map›Paper›PMID 38275477›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Color Analysis of Merkel Cell Carcinoma: A Comparative Study with Cherry Angiomas, Hemangiomas, Basal Cell Carcinomas, and Squamous Cell Carcinomas.

Dimitra Koumaki, Georgios Manios, Marios Papadakis, Aikaterini Doxastaki, Georgios Vasileiou Zacharopoulos, Alexander Katoulis, Andreas Manios

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. 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. Review
  3. Review
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

7 authors.

Dimitra KoumakiDermatology Department, University Hospital of Heraklion, 71110 Heraklion, Greece.ORCID 0000-0001-7074-2374
Georgios ManiosDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35100 Lamia, Greece.
Marios PapadakisDepartment of Surgery II, Witten/Herdecke University, Heusnerstrasse 40, 42283 Witten, Germany.ORCID 0000-0002-9020-874X
Aikaterini DoxastakiDermatology Department, University Hospital of Heraklion, 71110 Heraklion, Greece.ORCID 0009-0004-7580-6815
Georgios Vasileiou ZacharopoulosPlastic Surgery Unit, Surgical Oncology Department, University Hospital of Heraklion, 71110 Heraklion, Greece.
Alexander Katoulis2nd Department of Dermatology and Venereology, "Attikon" General University Hospital, Medical School, National and Kapodistrian University of Athens, Rimini 1, Haidari, 12462 Athens, Greece.
Andreas ManiosPlastic Surgery Unit, Surgical Oncology Department, University Hospital of Heraklion, 71110 Heraklion, Greece.ORCID 0000-0001-5611-5390

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Merkel cell carcinoma (MCC) is recognized as one of the most malignant skin tumors. Its rarity might explain the limited exploration of digital color studies in this area. The objective of this study was to delineate color alterations in MCCs compared to benign lesions resembling MCC, such as cherry angiomas and hemangiomas, along with other non-melanoma skin cancer lesions like basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), utilizing computer-aided digital color analysis. This was a retrospective study where clinical images of the color of the lesion and adjacent normal skin from 11 patients with primary MCC, 11 patients with cherry angiomas, 12 patients with hemangiomas, and 12 patients with BCC/SCC (totaling 46 patients) were analyzed using the RGB (red, green, and blue) and the CIE Lab color system. The Lab color system aided in estimating the Individual Typology Angle (ITA) change in the skin, and these results are documented in this study. It was demonstrated that the estimation of color components can assist in the differential diagnosis of these types of lesions because there were significant differences in color parameters between MCC and other categories of skin lesions such as hemangiomas, common skin carcinomas, and cherry hemangiomas. Significant differences in values were observed in the blue color of RGB (

Indexed as

basal cell carcinomacherry angiomascolor analysiscomputer-aided diagnosticsdigital dermatologyimage processingMerkel cell carcinoma (MCC)neuroendocrine carcinomaskin cancersquamous cell carcinoma

Identifiers

PMID38275477
PMCPMC10814937

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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.