A Three-Step Diagnostic Algorithm for Alopecia: Pattern Analysis in Trichoscopy

    February 2025 in “ Journal of Clinical Medicine
    Alexander Katoulis, Georgia Pappa, Dimitrios Sgouros, Ευριπίδης Μάρκου, Αντώνιος Κανελλέας, Evangelia Bozi, Demetrios Ioannides, Lidia Rudnicka
    TLDR A new method improves alopecia diagnosis using non-invasive steps.
    The study introduces a novel three-step diagnostic algorithm for alopecia, utilizing trichoscopy to enhance diagnostic accuracy while reducing the need for invasive procedures. The algorithm categorizes alopecia by distribution, distinguishes between scarring and non-scarring types, and uses specific trichoscopic clues to identify alopecia subtypes. This method focuses on primary alopecias and aims to improve diagnosis and management by integrating clinical and trichoscopic features. The approach is adaptable, potentially enhancing medical education and patient outcomes, with future AI integration offering additional support. Further validation is needed across diverse demographics and clinical settings.
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