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. Author manuscript; available in PMC: 2023 May 1.
Published in final edited form as: J Invest Dermatol. 2021 Oct 23;142(5):1291–1299.e2. doi: 10.1016/j.jid.2021.09.029

Table 1.

Comparison of the performance of trained models for diagnosis of BCC in the EVCM images

Training
Dataset		 Results of BCC detection in EVCM images- Metrics (CI 95%)
Sensitivity Specificity PPV NPV Accuracy
EVCM TRAINING 0.96 (0.88-1) 0.89 (0.80-0.97) 0.86 (0.75-0.97) 0.96 (0.91-1) 0.92 (0.86-0.98)
H&E TRAINING 0.93 (0.85-1) 0.92 (0.84-1) 0.89 (0.8-0.99) 0.95 (0.87-1) 0.93 (0.87-0.98)
EVCM + H&E TRAINING 0.78 (0.65-0.91) 0.92 (0.84-1) 0.87 (0.76-0.99) 0.85 (0.76-0.94) 0.86 (0.79-0.93)

Abbreviations: CI= confidence interval, PPV= positive predictive value, NPV =negative predictive value. Bold fonts indicate highest accuracy results.