Fig. 24 (abstract P35)

The ROC curve evaluates diagnostic ability of tests to discriminate the true state of subjects, finding the optimal cut off values. To determine the optimal cut-off point, we maximized sensitivity and specificity incorporating ethical issues for correct and false diagnosis. Thus, priority was given to higher sensitivity level to avoid the risk of not correctly diagnosing (and including to treatment) patients who had pathological scars.Total and overall scores of the PSAS and OSAS were plotted; solid dots -a, b, c, and d- represent the optimal cut-off point for each score, respectively