701 Rethinking alopecia scores: Correlating measures of hair loss with established photographic scoring systems

Alopecia scoring systems have traditionally been designed to assess and track severity progression of specific types alopecia. Each system’s design clinical validation is limited only one alopecia type (e.g., Severity Tool score for areata (AA), Sinclair visual analogue scale female pattern hair loss (FPHL), Olsen top extent central centrifugal cicatricial (CCCA)), even though all forms share a common feature decreasing density. We propose that system measures percent would be useful across different loss. tested correlations between the AA, FPHL, CCCA underlying On dataset 284 top-view scalp images taken from 250 subjects, 3 raters manually scored each image using systems. After an intraclass correlation analysis demonstrated reliability raters, we established final consensus set scores per image. Using regression models, analyzed within types. Our results suggest there precise quantifiable these percent: both FPHL show logarithmic relationship with respect area affected (a proxy AA scale), resulting in R2 0.793 0.804, respectively. Additionally, linear other, 0.963. These findings distinct measure as feature, automated algorithm quantifying this photographs may applied