Table 3.
ROC Analysis | AUC | p Value | CUT OFF | SE (%) | SP (%) | DV |
---|---|---|---|---|---|---|
Focal vs. Control | 0.800 | 0.134 | >167 | 100.00 | 80.00 | 0.90 |
Multifocal vs. Control | 0.840 | 0.039 | >167 | 100.00 | 80.00 | 0.90 |
Diffuse vs. Control | 0.800 | 0.073 | >22 | 100.00 | 60.00 | 0.80 |
Patent vs. Control | 0.820 | 0.046 | >167 | 90.00 | 80.00 | 0.85 |
Lesions vs. Control | 0.813 | 0.069 | >167 | 93.33 | 80.00 | 0.86 |
ROC, receiver operating characteristic, ROC analysis was used to determine the diagnostic performance of the method; AUC, area under the curve; p-value, it is the p-value of the AUC area, indicates whether the discrimination between animals with focal, multifocal, diffuse or any type of lesions and controls is significant; The cut-off point is expressed as the total number of ITLN2 positive cells per cow; SE, sensitivity; SP, specificity; DV, diagnostic value (semi-sum of the sensitivity and specificity); VS., versus. C, control type consisting of five animals with no lesions detected; The number of animals analyzed in the focal, multifocal and diffuse types were also five (n = 5 per group). The patent type includes the five animals with multifocal lesions and the five animals with diffuse lesions (n = 10). The discriminatory power of each biomarker to discern between the different histopathological types and the control type was classified as follows: AUC values ≥ 0.9 were considered to have excellent discriminatory power; 0.8 ≤ AUC < 0.9 good discriminatory power; 0.7 ≤ AUC < 0.8 fair discriminatory power; and AUC < 0.7, poor discriminatory [63,64].