Literature DB >> 33259813

Dermoscopy as a Tool for Estimating Breslow Thickness in Melanoma.

M M Martínez-Piva1, A S Vacas2, M V Rodríguez Kowalczuk2, F Gallo2, M Rodrígues Vasconcelos2, L D Mazzuoccolo2.   

Abstract

BACKGROUND AND
OBJECTIVE: The incidence of melanoma has increased significantly, and early diagnosis is the most effective way to reduce associated deaths. Dermoscopy increases diagnostic accuracy in melanoma and analysis of dermoscopic structures can help in the estimation of tumor thickness. The aim of this study was to analyze the influence of Breslow thickness on the dermoscopic characteristics of melanoma.
MATERIAL AND METHODS: Observational, cross-sectional study of patients with histologically confirmed melanoma and dermoscopic images of the tumor. The patients were divided into three groups: melanoma in situ, thin melanoma (≥ 1 mm Breslow thickness), and thick melanoma (≥ 1 mm Breslow thickness). Age, sex, tumor location, and histologic and dermoscopic characteristics were analyzed in all cases.
RESULTS: We studied 215 patients: 88 with melanoma in situ, 73 with thin melanoma, and 54 with thick melanoma. The frequency of the following dermoscopic features increased with increasing Breslow thickness: the blue-white veil (p < 0.001), white shiny structures (p < 0.001), and milky-red areas (p < 0.003). Angulated lines, by contrast, became less common with increasing thickness (p < 0.002).
CONCLUSIONS: Dermoscopy not only improves diagnostic accuracy for pigmented lesions but also helps in the preoperative assessment of Breslow thickness in melanoma.
Copyright © 2020 AEDV. Publicado por Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  Breslow; Dermatoscopia; Dermoscopy; Invasión; Melanoma; Thickness

Mesh:

Year:  2020        PMID: 33259813     DOI: 10.1016/j.ad.2020.11.015

Source DB:  PubMed          Journal:  Actas Dermosifiliogr (Engl Ed)        ISSN: 2173-5778


  2 in total

1.  Multispectral Imaging Algorithm Predicts Breslow Thickness of Melanoma.

Authors:  Szabolcs Bozsányi; Noémi Nóra Varga; Klára Farkas; András Bánvölgyi; Kende Lőrincz; Ilze Lihacova; Alexey Lihachev; Emilija Vija Plorina; Áron Bartha; Antal Jobbágy; Enikő Kuroli; György Paragh; Péter Holló; Márta Medvecz; Norbert Kiss; Norbert M Wikonkál
Journal:  J Clin Med       Date:  2021-12-30       Impact factor: 4.241

2.  Predictive factors of melanoma thickness.

Authors:  Ana Rita Carreiro Silva; Ricardo José David Costa Vieira
Journal:  An Bras Dermatol       Date:  2022-06-25       Impact factor: 2.113

  2 in total

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