Predictive Model for Differential Diagnosis of Inflammatory Papular Dermatoses of the Face
- Author:
Bo Ri KIM
1
;
Minsu KIM
;
Chong Won CHOI
;
Soyun CHO
;
Sang Woong YOUN
Author Information
- Publication Type:ORIGINAL ARTICLE
- From:Annals of Dermatology 2020;32(4):298-305
- CountryRepublic of Korea
- Language:English
-
Abstract:
Background:The clinical features of inflammatory papulardermatoses of the face are very similar. Their clinical manifestationshave been described on the basis of a small numberof case reports and are not specific.
Objective:This studyaimed to use computer-aided image analysis (CAIA) to comparethe clinical features and parameters of inflammatorypapular dermatoses of the face and to develop a formalizeddiagnostic algorithm based on the significant findings.
Methods:The study included clinicopathologically confirmedinflammatory papular dermatoses of the face: 8 casesof eosinophilic pustular folliculitis (EPF), 13 of granulomatousperiorificial dermatitis-lupus miliaris disseminatusfaciei (GPD-LMDF) complex, 41 of granulomatous rosacea-papulopustular rosacea complex (GR-PPR) complex,and 4 of folliculitis. Clinical features were evaluated, andarea density of papular lesions was quantitatively measuredwith CAIA. Based on these variables, we developed a predictivemodel for differential diagnosis using classificationand regression tree analysis.
Results:The EPF group showedlesion asymmetry and annular clusters of papules in all cases.The GPD-LMDF complex group had significantly higher perioculardensity. The GR-PPR complex group showed a higherarea density of unilateral cheek papules and the highest total area density. According to the predictive model, 3 variableswere used for differential diagnosis of the 4 diseasegroups, and each group was diagnosed with a predictedprobability of 67%∼100%.
Conclusion:We statisticallyconfirmed the distinct clinical features of inflammatory papulardermatoses of the face and proposed a diagnostic algorithmfor clinical diagnosis.
