A Lallas1, A Kyrgidis1, H Koga2, E Moscarella1, P Tschandl3, Z Apalla4, A Di Stefani5, D Ioannides2, H Kittler4, K Kobayashi6,7, E Lazaridou2, C Longo1, A Phan8, T Saida3, M Tanaka6, L Thomas8, I Zalaudek9, G Argenziano10. 1. Skin Cancer Unit, Arcispedale Santa Maria Nuova IRCCS, Viale Risorgimento 80, 42100, Reggio Emilia, Italy. 2. Department of Dermatology, Shinshu University School of Medicine, Matsumoto, Japan. 3. Division of General Dermatology, Department of Dermatology, Medical University, Vienna, Austria. 4. First Department of Dermatology, Medical School, Aristotle University, Thessaloniki, Greece. 5. Division of Dermatology, Complesso Integrato Columbus, Rome, Italy. 6. Department of Dermatology, Tokyo Women's Medical University Medical Center East, Tokyo, Japan. 7. Kobayashi Clinic, Tokyo, Japan. 8. Department of Dermatology, Claude Bernard - Lyon 1 University, Centre Hospitalier Lyon-Sud, Pierre Bénite, France. 9. Department of Dermatology and Venereology, Medical University, Graz, Austria. 10. Dermatology Unit, Second University of Naples, Naples, Italy.
Abstract
BACKGROUND: The parallel ridge pattern (PRP) is considered the dermoscopic hallmark of acral melanoma (AM). However, it was recently shown that approximately one-third of AMs do not display a PRP dermoscopically, rendering their detection more troublesome. OBJECTIVES: To investigate the diagnostic accuracy of dermoscopic criteria for the diagnosis of AM. METHODS: Dermoscopic images of consecutive cases of histopathologically diagnosed AMs and acral naevi with histopathological diagnosis or with at least 1 year of follow-up were evaluated by three independent investigators for the presence of predefined criteria. Crude and adjusted odds ratios and their corresponding 95% confidence intervals were calculated by univariate and multivariate logistic regression, respectively. Receiver operating characteristic curves were used to choose among competing classification schemes. RESULTS:In total 603 lesions (472 naevi and 131 AMs) were included in the study. A scoring system (named BRAAFF) composed of six variables was associated with optimal area under the curve and sensitivity for the diagnosis of AM. This method includes four positive (irregular blotches, ridge pattern, asymmetry of structures and asymmetry of colours) and two negative predictors (furrow pattern and fibrillar pattern). CONCLUSIONS: The BRAAFF checklist significantly improves the diagnostic accuracy of dermoscopy for the diagnosis of AM.
RCT Entities:
BACKGROUND: The parallel ridge pattern (PRP) is considered the dermoscopic hallmark of acral melanoma (AM). However, it was recently shown that approximately one-third of AMs do not display a PRP dermoscopically, rendering their detection more troublesome. OBJECTIVES: To investigate the diagnostic accuracy of dermoscopic criteria for the diagnosis of AM. METHODS: Dermoscopic images of consecutive cases of histopathologically diagnosed AMs and acral naevi with histopathological diagnosis or with at least 1 year of follow-up were evaluated by three independent investigators for the presence of predefined criteria. Crude and adjusted odds ratios and their corresponding 95% confidence intervals were calculated by univariate and multivariate logistic regression, respectively. Receiver operating characteristic curves were used to choose among competing classification schemes. RESULTS: In total 603 lesions (472 naevi and 131 AMs) were included in the study. A scoring system (named BRAAFF) composed of six variables was associated with optimal area under the curve and sensitivity for the diagnosis of AM. This method includes four positive (irregular blotches, ridge pattern, asymmetry of structures and asymmetry of colours) and two negative predictors (furrow pattern and fibrillar pattern). CONCLUSIONS: The BRAAFF checklist significantly improves the diagnostic accuracy of dermoscopy for the diagnosis of AM.
Authors: Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Rubeta N Matin; Kai Yuen Wong; Roger Benjamin Aldridge; Alana Durack; Abha Gulati; Sue Ann Chan; Louise Johnston; Susan E Bayliss; Jo Leonardi-Bee; Yemisi Takwoingi; Clare Davenport; Colette O'Sullivan; Hamid Tehrani; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2018-12-04
Authors: Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Lavinia Ferrante di Ruffano; Rubeta N Matin; David R Thomson; Kai Yuen Wong; Roger Benjamin Aldridge; Rachel Abbott; Monica Fawzy; Susan E Bayliss; Matthew J Grainge; Yemisi Takwoingi; Clare Davenport; Kathie Godfrey; Fiona M Walter; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2018-12-04
Authors: Sara S Bernardes; Ingrid Ferreira; David E Elder; Aretha B Nobre; Héctor Martínez-Said; David J Adams; Carla Daniela Robles-Espinoza; Patricia A Possik Journal: J Pathol Clin Res Date: 2021-07-02