Ann Dermatol.
2020 Aug;32(4):298-305. 10.5021/ad.2020.32.4.298.
Predictive Model for Differential Diagnosis of Inflammatory Papular Dermatoses of the Face
- Affiliations
-
- 1Department of Dermatology, Seoul National University Bundang Hospital, Seongnam, Korea
- 2Department of Dermatology, SMG-SNU Boramae Medical Center, Korea
- 3Department of Dermatology, Seoul National University College of Medicine, Seoul, Korea
- KMID: 2504861
- DOI: http://doi.org/10.5021/ad.2020.32.4.298
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.
