Scarring Alopecias: Pathology and an Update on Digital Developments

Area of Science:

• Dermatopathology
• Histopathology
• Trichology

Background:

• Primary cicatricial alopecias (PCA) are complex scalp disorders causing permanent hair loss due to follicle destruction and fibrosis.
• Accurate diagnosis relies on scalp skin biopsies, but interpretation is challenging due to sampling and processing issues.

Purpose of the Study:

• To share strategies for improving communication between clinicians, laboratories, and histopathologists in managing PCAs.
• To provide insights into diagnostic approaches and key histological features of common PCAs.
• To explore the potential of digital pathology and AI in advancing PCA diagnosis and research.

Main Methods:

• Review of clinical and pathology practices for diagnosing common PCAs.
• Analysis of histological features across various PCA subtypes.
• Discussion of emerging digital pathology and artificial intelligence (AI) applications.

Main Results:

• Successful development of improved communication pathways between clinical and laboratory settings.
• Identification of key histological markers for differentiating common PCAs.
• Exploration of digital pathology's role in enhancing diagnostic accuracy and workflow efficiency.

Conclusions:

• Enhanced clinicopathological communication is crucial for effective PCA management.
• Digital pathology and AI offer significant potential to optimize diagnostic yield and research in cicatricial alopecias.
• Standardizing practices and leveraging technology can overcome diagnostic challenges in PCA.