Background: Riehl's melanosis is a psychologically devastating hyperpigmentary disorder that typically occurs on the face and neck. The study of Riehl's melanosis is limited due to its rarity, variable morphology, and lack of noninvasive diagnostic tools. Recent advances in skin imaging analysis and diagnostic systems improve diagnostic accuracy and enable the noninvasive, real-time evaluation of pigmentary disease. A comprehensive study of Riehl's melanosis clinical morphology with multimodality and in vivo skin imaging systems has yet to be reported.
Objectives: To investigate the clinical features and in vivo advanced skin imaging findings of Riehl's melanosis.
Methods: We retrospectively investigated the clinical characteristics, dermoscopic, and histopathological features of Riehl's melanosis. We further utilized multimodality skin imaging analysis systems, including a cellular resolution optical coherence tomography (OCT) and new skin diagnosis system, to investigate the features of Riehl's melanosis. In addition, we compared OCT findings with histopathological features and clinical assessment.
Results: We evaluated 30 patients with Riehl's melanosis at a tertiary medical center from 2010 to 2022. The average age was 47.7 ± 12.3 (mean ± SD) years, predominantly female patients (female: n = 23; male: n = 7). Cellular resolution OCT imaging from lesion skin shows increased melanocyte capping, disrupted basement membrane, telangiectatic blood vessels, and melanophages in the dermis. The advanced skin diagnosis system captured subclinical erythema of the skin, highlighting the inflammatory nature of the disease. The results correlated well with histopathological findings.
Limitations: This is a single-center, cross-sectional study.
Conclusions: We highlight the features of Riehl's melanosis through a novel cellular resolution OCT and photographic skin diagnosis system. A multimodality skin diagnosis system can serve as a real-time, in vivo, noninvasive method for evaluating pigmentary disorders.
Keywords: Riehl’s melanosis; dermoscopic; optical coherence tomography; skin imaging analysis.