Table 2.
Sensitivity and specificity were obtained from true positive cases/(true positive cases+false negative cases)×100 and true negative cases/(true negative cases+false positive cases)×100. Positive and negative predictive values were obtained from true positive cases/(true positive cases+false positive cases)×100 and true negative cases/(true negative cases+false negative cases)×100. Agreement was calculated as follows (TP+TN)/(TP+TN+FP+FN)×100. TP, TN, FP, and FN represent the number of true positive, true negative, false positive, and false negative, respectively.