A Raina1, R Hennessy1, M Rains2, J Allred2, J M Hirshburg2, D G Diven2, M K Markey1,3. 1. Biomedical Engineering Department, The University of Texas at Austin, Austin, TX, USA. 2. Department of Dermatology, The University of Texas at Austin, Dell Medical School, Austin, TX, USA. 3. Imaging Physics Department, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Abstract
BACKGROUND: Traditional metrics for evaluating the severity of psoriasis are subjective, which complicates efforts to measure effective treatments in clinical trials. METHODS: We collected images of psoriasis plaques and calibrated the coloration of the images according to an included color card. Features were extracted from the images and used to train a linear discriminant analysis classifier with cross-validation to automatically classify the degree of erythema. The results were tested against numerical scores obtained by a panel of dermatologists using a standard rating system. RESULTS: Quantitative measures of erythema based on the digital color images showed good agreement with subjective assessment of erythema severity (κ = 0.4203). The color calibration process improved the agreement from κ = 0.2364 to κ = 0.4203. CONCLUSION: We propose a method for the objective measurement of the psoriasis severity parameter of erythema and show that the calibration process improved the results.
BACKGROUND: Traditional metrics for evaluating the severity of psoriasis are subjective, which complicates efforts to measure effective treatments in clinical trials. METHODS: We collected images of psoriasis plaques and calibrated the coloration of the images according to an included color card. Features were extracted from the images and used to train a linear discriminant analysis classifier with cross-validation to automatically classify the degree of erythema. The results were tested against numerical scores obtained by a panel of dermatologists using a standard rating system. RESULTS: Quantitative measures of erythema based on the digital color images showed good agreement with subjective assessment of erythema severity (κ = 0.4203). The color calibration process improved the agreement from κ = 0.2364 to κ = 0.4203. CONCLUSION: We propose a method for the objective measurement of the psoriasis severity parameter of erythema and show that the calibration process improved the results.
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