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Table 4 Sensitivity (%) and specificity (%) Calculated from ROC curves

From: Molecular binary classification of NSCLC: miR-375 is a potential biomarker to differentiate SQCC from ADCC in Indian NSCLC patients

  Variables miR-205, miR-21 miR-196b, miR-21 miR-375, miR-21
ROC Cut-offa 4.264 7.511 0.584
AUC 0.471 0.498 0.907
p Value 0.789 0.983 <0.0001
Sensitivity (Training set) 13.33% 26.67% 93.3%
Specificity(Training set) 66.67% 93.33% 86.7%
Sensitivity (Validation set) 9.67% 12.9% 96.7%
Specificity (Validation set) 72.41% 75.86% 93.1%
  1. aCut-off value is the score that correspond to the youden index (sensitivity + specificity-1) in ROC curve. Sample was positive if the score ≥ cut off. Sensitivity (%) was determined as [true positive / (true positive + False negative)] and specificity (%) was [True negative / (True negative + False positive)]. True positive: Samples which were diagnosed as SQCC by the histopathologists and with score ≥ cut off. False negative: Samples which were characterised as SQCC but score < cut off. True negative: Samples which were characterised as ADCC by histopathologists and score < cut off. False negative: Samples which were initially classified as ADCC but score ≥ cut off