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. Author manuscript; available in PMC: 2017 Jun 12.
Published in final edited form as: Comput Med Imaging Graph. 2014 Jul 5;41:37–45. doi: 10.1016/j.compmedimag.2014.06.017

Table 5.

Area under receiver operating characteristic curve (AUC), sensitivity, specificity and slice-level sensitivity with different feature combinations. Slice-level sensitivity is defined as the percentage of cases where the classifier can detect more than 50% of the total tumor area.

Features AUC Sensitivity Specificity Slice-level sensitivity
Pharmacokinetic Parameters 0.78 ± 0.14 76.1% 63.9% 78.8%
Model-free Empirical Parameters 0.78 ± 0.16 75.3% 64.0% 70.0%
Ktrans and Empirical Parameters 0.80 ± 0.14 75.3% 67.8% 73.0%
PCA features 0.79 ± 0.18 71.2% 72.2% 70.0%
Ktrans and PCA features 0.80 ± 0.14 74.4% 70.9% 75.8%
LASSO-isolated PCA features 0.86 ± 0.12 80.0% 77.8% 81.8%