Algorithm assists doctors in identifying highly aggressive form of basal cell carcinoma of the face

University of GothenburgJul 2 2024 An algorithm can help healthcare professionals recognize which patients have a highly aggressive form of basal cell carcinoma of the face. These are the findings of a study conducted at the University of Gothenburg. If more BCCs are correctly identified as high-risk, the patients can directly receive the most effective treatment.

The most obvious signs The study includes clinical as well as dermoscopic images obtained at the Department of Dermatology and Venereology at Sahlgrenska University Hospital. Images of nearly 300 patients with confirmed facial BCC were analyzed. These images were then reviewed by six independent experienced dermatologists who were asked to interpret the observed clinical and dermoscopic findings in each case.

The study shows that the clinical algorithm identifies most cases of high-risk BCC. The algorithm also showed a high positive predictive value, i.e., when it flags a BCC as high-risk, it is usually right.

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