EQscore
EQscore quantifies erythema in dermatological images by analyzing green light suppression differentials between affected and unaffected skin areas to provide objective measurements across Fitzpatrick skin types.
Key Features:
- Algorithmic Precision: Quantifies erythema by analyzing green light suppression differentials and reports measurements across Fitzpatrick skin types.
- Validation and Reliability: Validated against independent image sets including psoriasis, minimal erythema dose testing, and steroid-induced blanching, yielding an intra-class correlation coefficient (ICC) of 0.84 for the algorithm versus 0.67 for dermatologists.
- Correlation with Clinical Assessment: Correlated with evaluations by a panel of four dermatologists using a 4-point Likert scale across 164 reactions, producing a correlation coefficient of 0.85.
Scientific Applications:
- Clinical Trials: Provides objective outcome measures for erythematous conditions in clinical trials.
- Dermatological Diagnostics: Assists dermatologists in rating severity of skin conditions and monitoring therapeutic responses.
- Research Studies: Supports studies on skin pigmentation effects and treatment efficacy by providing reliable erythema quantification.
Methodology:
Computer-assisted image-processing algorithm that quantifies green light suppression differentials between affected and unaffected skin areas.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Windows
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Frew J, Penzi L, Suarez‐Farinas M, Garcet S, Brunner PM, Czarnowicki T, Kim J, Bottomley C, Finney R, Cueto I, Fuentes‐Duculan J, Ohmatsu H, Lentini T, Yanofsky V, Krueger JG, Guttman‐Yassky E, Gareau D. The erythema Q‐score, an imaging biomarker for redness in skin inflammation. Experimental Dermatology. 2020;30(3):377-383. doi:10.1111/exd.14224. PMID:33113259. PMCID:PMC8049083.