title: Objective assessment of psoriasis erythema for PASI scoring.
abstract: Skin colour is vital information in dermatological diagnosis as it reflects the pathological condition beneath the skin. It is commonly used to indicate the extent of diseases such as psoriasis, which is indicated by the appearance of red plaques. Although there is no cure for psoriasis, there are many treatment modalities to help control the disease. To evaluate treatment efficacy, the current gold standard method, PASI (Psoriasis Area and Severity Index), is used to determine severity of psoriasis lesion. Erythema (redness) is one parameter in PASI and this condition is assessed visually, thus leading to subjective and inconsistent results. Current methods or instruments that assess erythema have limitations, such as being able to measure erythema well for low pigmented skin (fair skin) but not for highly pigmented skin (dark skin) or vice versa. In this work, we proposed an objective assessment of psoriasis erythema for PASI scoring for different (low to highly pigmented) skin types. The colour of psoriasis lesions are initially obtained by using a chromameter giving the values L*, a*, and b* of CIELAB colour space. The L* value is used to classify skin into three categories: low, medium and highly pigmented skin. The lightness difference (DeltaL*), hue difference (Deltah(ab)), chroma (DeltaC*(ab)) between lesions and the surrounding normal skin are calculated and analysed. It is found that the erythema score of a lesion can be distinguished by their Deltah(ab) value within a particular skin type group. References of lesion with different scores are obtained from the selected lesions by two dermatologists. Results based on 38 lesions from 22 patients with various level of skin pigmentation show that PASI erythema score for different skin types i.e. low (fair skin) to highly pigmented (dark skin) skin types can be determined objectively and consistent with dermatology scoring.
authors.affiliation: Intelligent Signal and Image Processing, Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia. fadzmo@petronas.com.my
authors.forename: M H
authors.initials: MH
authors.lastname: Ahmad Fadzil
authors.forename: Dani
authors.initials: D
authors.lastname: Ihtatho
authors.forename: Azura
authors.initials: A
authors.lastname: Mohd Affandi
authors.forename: S H
authors.initials: SH
authors.lastname: Hussein
mesh_terms: D004890:Erythema / Q000473:pathology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D017078:Laser-Doppler Flowmetry / Q000379:methods; D008543:Melanins; D011565:Psoriasis / Q000473:pathology*; D012720:Severity of Illness Index; D012867:Skin / Q000473:pathology; D012880:Skin Pigmentation; D013053:Spectrophotometry / Q000379:methods
chemical_list: D008543:Melanins