Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid

Tschandl, P; Gambardella, A; Boespflug, A; Deinlein, T; de Giorgi, V; Kittler, H; Lallas, A; Malvehy, J; Moscarella, E; Puig, S; Scalvenzi, M; Thomas, L; Zalaudek, I; Alfano, R; Argenziano, G.
Seven Non-melanoma Features of Facial Lesions: A Dermatoscopy Algorithm to Rule Out Melanoma.
Acta Derm Venereol. 2017; 10(2): [OPEN ACCESS]
PubMed FullText FullText_MUG

 

Autor/innen der Med Uni Graz:
Deinlein Teresa Maria
Zalaudek Iris
Gendermonitor:
Altmetrics:

Abstract:
Facial melanoma is difficult to diagnose and dermatoscopic features are often subtle. Dermatoscopic non-melanoma patterns may have a comparable diagnostic value. In this pilot study, facial lesions were collected retrospectively, resulting in a case set of 339 melanomas and 308 non-melanomas. Lesions were evaluated for the prevalence (> 50% of lesional surface) of 7 dermatoscopic non-melanoma features: scales, white follicles, erythema/reticular vessels, reticular and/or curved lines/fingerprints, structureless brown colour, sharp demarcation, and classic criteria of seborrhoeic keratosis. Melanomas had a lower number of non-melanoma patterns (p < 0.001). Scoring a lesion suspicious when no prevalent non-melanoma pattern is found resulted in a sensitivity of 88.5% and a specificity of 66.9% for the diagnosis of melanoma. Specificity was higher for solar lentigo (78.8%) and seborrhoeic keratosis (74.3%) and lower for actinic keratosis (61.4%) and lichenoid keratosis (25.6%). Evaluation of prevalent non-melanoma patterns can provide slightly lower sensitivity and higher specificity in detecting facial melanoma compared with already known malignant features.

© Meduni Graz Impressum