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Table 3 ROC metrics for predicting PCR using post-contrast image, subtraction image, and subtraction image with dilation at tp1 + tp2 using Ensemble RUSBoosted Tree classifier

From: Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre- and early treatment predicts pathologic complete response

Method Sens. Spec. PPV NPV Accuracy AUC P-value
Post-contrast image 89.18 53.84 84.61 63.64 80 0.68 (0.48, 0.87) 0.212
Subtraction image 89.18 61.54 86.84 66.66 82 0.83 (0.70, 0.97) 0.128
Subtraction + 5 pixel dilation 94.59 92.31 97.22 85.71 94 0.98 (0.94, 1.0) 0.00029
  1. The numbers in parenthesis show the 95% confidence intervals
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BioMedical Engineering OnLine

ISSN: 1475-925X

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