Literature DB >> 19639508

Objective assessment of psoriasis erythema for PASI scoring.

M H Ahmad Fadzil1, Dani Ihtatho, Azura Mohd Affandi, S H Hussein.   

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.

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Year:  2009        PMID: 19639508     DOI: 10.1080/07434610902744074

Source DB:  PubMed          Journal:  J Med Eng Technol        ISSN: 0309-1902


  6 in total

1.  Objective measurement of erythema in psoriasis using digital color photography with color calibration.

Authors:  A Raina; R Hennessy; M Rains; J Allred; J M Hirshburg; D G Diven; M K Markey
Journal:  Skin Res Technol       Date:  2015-10-30       Impact factor: 2.365

Review 2.  [Personalized medicine in the field of inflammatory skin diseases].

Authors:  N Garzorz-Stark; K Eyerich
Journal:  Hautarzt       Date:  2019-01       Impact factor: 0.751

3.  The reliability and validity of outcome measures for atopic dermatitis in patients with pigmented skin: A grey area.

Authors:  C Y Zhao; A Wijayanti; M C Doria; A G Harris; S V Jain; K N Legaspi; N C Dlova; M G Law; D F Murrell
Journal:  Int J Womens Dermatol       Date:  2015-08-06

Review 4.  The CLASI, a validated tool for the evaluation of skin disease in lupus erythematosus: a narrative review.

Authors:  Srita Chakka; Rebecca L Krain; Josef Symon S Concha; Benjamin F Chong; Joseph F Merola; Victoria P Werth
Journal:  Ann Transl Med       Date:  2021-03

5.  Image-based automated Psoriasis Area Severity Index scoring by Convolutional Neural Networks.

Authors:  M J Schaap; N J Cardozo; A Patel; E M G J de Jong; B van Ginneken; M M B Seyger
Journal:  J Eur Acad Dermatol Venereol       Date:  2021-10-18       Impact factor: 9.228

6.  The erythema Q-score, an imaging biomarker for redness in skin inflammation.

Authors:  John Frew; Lauren Penzi; Mayte Suarez-Farinas; Sandra Garcet; Patrick M Brunner; Tali Czarnowicki; Jaehwan Kim; Claire Bottomley; Robert Finney; Inna Cueto; Judilyn Fuentes-Duculan; Hanako Ohmatsu; Tim Lentini; Valerie Yanofsky; James G Krueger; Emma Guttman-Yassky; Daniel Gareau
Journal:  Exp Dermatol       Date:  2020-11-30       Impact factor: 3.960

  6 in total

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