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Lentigo maligna of the face: A quantitative simple method to identify individual patient risk probability on dermoscopy
Author(s) -
Carbone Anna,
Ferrari Angela,
Paolino Giovanni,
Buccini Pierluigi,
De Simone Paola,
Eibenschutz Laura,
Piemonte Paolo,
Silipo Vitaliano,
Sperduti Isabella,
Catricalà Caterina,
Frascione Pasquale
Publication year - 2017
Publication title -
australasian journal of dermatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.67
H-Index - 53
eISSN - 1440-0960
pISSN - 0004-8380
DOI - 10.1111/ajd.12595
Subject(s) - medicine , lentigo maligna , multivariate statistics , dermatology , multivariate analysis , odds ratio , differential diagnosis , statistics , pathology , melanoma , mathematics , cancer research
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.