Advancing Hair Loss Assessment in Alopecia Areata: The Mathematical Case for Centralized, Standardized Imaging

    April 2026 in “ medRxiv
    David M Fleet, Andrew G. Messenger, Alyson Bryden, Matthew J Harris, Susan Holmes, Paul Farrant, Brian Leaker, Anita Takwale, Michelle Oakford, Manjit Kaur, Megan Mowbray, A. E. Macbeth, Pikun Gangwani, Maria A Gkini, Vicky Jolliffe
    TLDR Centralized imaging provides more accurate and consistent hair loss measurements in alopecia areata.
    The study compared centralised and local measurements of hair loss in mild to moderate alopecia areata (AA) using a Phase 2 clinical trial. Centralised measurement, performed from photographic images with a standardised protocol, showed greater consistency and smaller margins of error—50% lower than local ratings. Simulations indicated that using central ratings could reduce the likelihood of a statistically significant outcome by at least 50% depending on the clinical response endpoint. The study concludes that central rating is more appropriate in the Phase 2 learning stage of clinical development, providing accurate and consistent measurements of hair loss.
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