Figure 5.

To compare sensitivity and specificity of simple roughness and novel parameters describing surface topology to detect surface structure, fibrillation and fissures ROC analyses were performed. The ROC curves of the best classifier for each reference parameter selected by AUC and estimated lower confidence limit and the corresponding ROC curve are shown. We can see that integral void depth a) has better sensitivity for identifying surface structure compared with simple roughness b). Similarly, maximum void depth has higher sensitivity for detecting fibrillation compared to simple roughness. Sensitivity and specificity for detecting fissures were similar between simple roughness f) and maximum void depth f).