Literature DB >> 28196618

Dermoscopic features predicting the presence of mitoses in thin melanoma.

S Ribero1, G Argenziano2, A Lallas3, E Moscarella4, E Benati4, M Raucci4, S Piana5, C Longo4.   

Abstract

BACKGROUND: The latest AJCC classification has included the number of mitoses as a factor for upstaging thin melanomas. Meanwhile, while dermoscopy has often been used to predict melanoma thickness, its value in predicting number of mitoses remains unknown.
OBJECTIVE: Our aim is to evaluate the correlation between dermoscopic features and the presence of mitoses in a consecutive cohort of thin melanomas.
METHODS: A case control study has been performed to identify specific dermoscopic parameters that could differentiate thin melanomas with 1 or more mitoses per mm2 from those without mitoses.
RESULTS: Of 177 melanomas equal to or thinner than 1mm, 131 (74%) lesions had no mitoses and 46 (36%) lesions had at least 1 mitosis×mm2. Dermoscopic features associated with the presence of 1 or more mitoses were the following: peripheral streaks (OR 4.11; 95% CI 1.94-8.71) and black colour (OR 4.70; 95% CI; 2.28-9.68). In contrast, atypical pigment network (OR (0.30; 95% CI 0.15-0.61)) and brown colour (OR 0.36; 95% CI 0.18-0.75) were associated to melanomas without mitoses. The same variables were also associated to the increasing number of mitoses at linear regression.
CONCLUSION: Black colour and peripheral streaks can predict the presence of mitoses in thin melanoma, while atypical pigment network and brown colour are associated to thin melanoma without mitoses.
Copyright © 2017 Japanese Society for Investigative Dermatology. All rights reserved.

Entities:  

Keywords:  Dermoscopy; Melanoma; Mitosis

Mesh:

Year:  2017        PMID: 28196618     DOI: 10.1016/j.jdermsci.2017.01.013

Source DB:  PubMed          Journal:  J Dermatol Sci        ISSN: 0923-1811            Impact factor:   4.563


  2 in total

Review 1.  Cutaneous Melanoma-A Long Road from Experimental Models to Clinical Outcome: A Review.

Authors:  Dorina Coricovac; Cristina Dehelean; Elena-Alina Moaca; Iulia Pinzaru; Tiberiu Bratu; Dan Navolan; Ovidiu Boruga
Journal:  Int J Mol Sci       Date:  2018-05-24       Impact factor: 5.923

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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