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Cited by 26Cutaneous Melanoma Detection and Managementmelanin and skin pigmentationAI in cancer detection

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Effect of Lesion Size on the Diagnostic Performance of Dermoscopy in Melanoma Detection

Abstract

Background: Dermoscopy is able to correctly classify a higher number of melanomas than naked-eye examination. Little is known however about factors which may influence the diagnostic performance during practice. The aim of the study was to analyze the effect of size of the lesion on diagnostic performance of dermoscopy in melanoma detection. Methods: Eight dermatologists examined clinical and, separately, clinical and dermoscopic (combined examination) images of 200 melanocytic lesions previously excised [64 melanomas, 24 in situ and 40 invasive (median thickness 0.30 mm) and 136 melanocytic nevi]. After examination, diagnostic performance was analyzed in accordance with the major diameter of the lesions divided into 3 groups, i.e. small (less than 6 mm), intermediate (between 6 and 9 mm) and large (10 mm or more) lesions. These groups were shown to be highly comparable concerning the microstaging of melanomas (median thickness value 0.30, 0.22 and 0.32 mm, respectively). Results: Dermoscopy increased the diagnostic performance of naked-eye examination of both intermediate and large lesions [sensitivity value: +19.3 (p = 0.002) and +10.3 (p = 0.007); diagnostic accuracy value: +7.4 (p = 0.004) and +6.1 (p = 0.07)]. On the contrary, no statistically significant increase was found dealing with small lesions (sensitivity +3.7, p = 0.66; diagnostic accuracy –1.7, p = 0.55). Conclusions: The diagnostic improvement associated with the addition of dermoscopy to naked-eye examination is influenced by the size of the lesion, i.e. it is lacking with lesions up to 6 mm in diameter. The optimized use of dermoscopy in melanoma detection is obtained dealing with melanocytic lesions 6 mm in diameter or larger.

Overview

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Registry

Crossref · 10.1159/000069939

Cites

14 of 14 references verified0 citation errors · 0 not checkable

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Citations

Cites

Research works printed but not linked: 1

  1. 10.1002/(SICI)1097-0215(19990331)81:1<62::AID-IJC12>3.0.CO;2-2 · DOI

Cited by

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Metadata

Authors
Carli, P., De Giorgi, V., Chiarugi, A., Nardini, P., Mannone, F., Stante, M., Quercioli, E., Sestini, S., & Giannotti, B.
Affiliations
University of Florence (IT)
Venue
Dermatology
Publisher
S. Karger AG
Published
2003
Volume
206
Issue
4
Pages
292-296
ISSN
  • 1018-8665 (ISSN-L)
  • 1421-9832
OpenAlex
W2053838010
Cited by
26
References
14
Citations by year
2026: 1 · 2024: 1 · 2022: 3 · 2021: 3 · 2020: 1 · 2019: 1 · 2018: 3 · 2017: 1 · 2015: 1 · 2014: 2 · 2013: 1 · 2012: 1
FWCI
0.60
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Dermatology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › melanin and skin pigmentation
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
Keywords
dermoscopy, melanoma detection, lesion size, melanocytic lesions, melanoma thickness, diagnostic accuracy, sensitivity, melanocytic nevi, melanoma in situ, microstaging
MeSH terms
Humans, Melanoma, Microscopy, Sensitivity and Specificity, Skin Neoplasms

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.