“…Classification of autofluorescence endoscopy images by an experienced head and neck surgeon has a better sensitivity, specificity, and accuracy than white light endoscopy of 91% versus 73%, 84% versus 79%, and 88% versus 77%, respectively . For optical coherence tomography, a sensitivity and specificity of 77.8% to 100% and 70.3% to 75.8%, respectively, is reported to differentiate an invasive from a noninvasive lesion in the upper aerodigestive tract . Using high‐resolution microendoscopy to image neoplastic versus nonneoplastic oral cancer, subjective image interpretation yielded sensitivity and specificity of 85% to 90% and 80% to 85%, respectively, whereas an objective classification algorithm achieved sensitivity and specificity of 81% and 77%, respectively.…”