Importance of Both Clinical and Dermoscopic Findings in Predicting High-Risk Histopathological Subtype in Facial Basal Cell Carcinomas
Clinical Summary
View sourceWhat was studied
Single-center, retrospective image-based study of histopathologically confirmed primary facial basal cell carcinomas (n=297) in which 6 independent readers scored predefined clinical and dermoscopic features to predict high-risk histopathological subtype, measure interobserver agreement, and build a diagnostic algorithm.
Key findings
Features most associated with high-risk subtype were bumpy topography (OR 3.8, 95% CI 3.1-4.7), ill-defined borders (OR 3.4, 95% CI 3.1-4.7), white porcelain area (OR 3.5, 95% CI 2.8-4.5), and vessels within ulceration (OR 3.1, 95% CI 2.4-4.1). The derived algorithm predicted high-risk subtype with sensitivity 81.4% (95% CI 78.9-83.7) and specificity 53.3% (95% CI 49.7-56.9); interobserver agreement for criteria ranged from κ 0.36 to 0.72.
Study limitations
Single-center, retrospective design using image review; interobserver agreement varied from fair to substantial (κ 0.36-0.72); the algorithm’s specificity was 53.3% (95% CI 49.7-56.9).
Clinical implications
Combine clinical and dermoscopic clues—especially bumpy topography, ill-defined borders, white porcelain areas, and vessels within ulceration—to flag facial BCCs more likely to be high-risk. An algorithm based on these features achieved 81.4% sensitivity and 53.3% specificity in this dataset, and predominantly focused vessels support nodular or high-risk subtypes while arguing against superficial BCC.
Related Questions
Explore related topics and deepen your understanding