All of the three pleural effusion samples with false positive DNA integrity index were due to inflammatory pleuritis.
The value that maximized the difference between sensitivity and the false positive rate (Youden index = sensitivity + specificity − 1) was selected as the cutoff value.
The value that maximized the difference between sensitivity and the false positive rate (the Youden index [ 26]) was selected as the cut-off value.
Addition of the central loop scores increased specificity, decreased false positive rates, and reached Youden Index 1.
Importantly, almost a third of false positive pleural fluid DNA integrity index results were due to parapneumonic effusions.
The index gives equal weight to false positive and false negative values, so all tests with the same value of the index give the same proportion of total misclassified results.
Lastly, using MeSH indexing can introduce false positive evidence for a given association.
Admittedly this study design did not allow us to estimate either the exact number of patients with false negative and false positive results or the conventional accuracy indices (sensitivity, specificity, negative and positive predictive values) owing to the absence of a gold standard test.
First we calculate false positive error, false negative error, and similarity index for each segmentation results of all methods.
Average false positive error, false negative error, and similarity index are, respectively, computed for each compared method based on all segmentation results of all slices.
