Lentigo maligna of the face: A quantitative simple method to identify individual patient risk probability on dermoscopy

Background/Objectives The clinical and dermoscopic differential diagnosis of flat pigmented facial lesions represents a great challenge for the clinicians. Our aim was to report a quantitative method based on dermoscopic features to better classify pigmented facial lesions. Methods This is a retrosp...

Full description

Saved in:
Bibliographic Details
Published in:Australasian journal of dermatology 2017-11, Vol.58 (4), p.286-291
Main Authors: Carbone, Anna, Ferrari, Angela, Paolino, Giovanni, Buccini, Pierluigi, De Simone, Paola, Eibenschutz, Laura, Piemonte, Paolo, Silipo, Vitaliano, Sperduti, Isabella, Catricalà, Caterina, Frascione, Pasquale
Format: Article
Language:English
Subjects:
Adult
Aged
Aged, 80 and over
Dermoscopy
Differential diagnosis
Facial Neoplasms - diagnostic imaging
Female
Humans
Hutchinson's Melanotic Freckle - diagnostic imaging
lentigo maligna
lichen planus‐like keratosis
Male
Middle Aged
Multivariate analysis
pigmented actinic keratosis
pigmented facial lesions
Probability
Retrospective Studies
Risk Assessment - methods
Skin Neoplasms - diagnostic imaging
solar lentigo
Young Adult
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Background/Objectives The clinical and dermoscopic differential diagnosis of flat pigmented facial lesions represents a great challenge for the clinicians. Our aim was to report a quantitative method based on dermoscopic features to better classify pigmented facial lesions. Methods This is a retrospective case‐series study that analysed the dermoscopic features of 582 pigmented facial lesions. Results The individual patient probability of lentigo maligna (LM) was predicted by a multivariate model, with an accuracy of 0.72. According to the odds ratio at the multivariate analysis, an individual scoring index was assigned to each criterion, and a value of 4.56 was identified as optimal cut‐off point. Up to a score of 2.5, the probability that a lesion is an LM is 0. The probability increases from 10 to 50% for a score ranging between 4.5 and 6. It is about 90% for a score of 7. Conclusion The optimal cut‐off point obtained and the curve that identifies the probability of a patient having a LM could improve the classification and the management strategies of equivocal pigmented facial lesions.
ISSN:0004-8380
1440-0960
DOI:10.1111/ajd.12595