Table 2 The performance of the support vector machine (SVM) classification obtained by cross-validation for predicting cervical cancer recurrence at four weeks after chemoradiotherapy initiated.

From: Texture Analysis as Imaging Biomarker for recurrence in advanced cervical cancer treated with CCRT

Imaging

Dataset

Sensitivity

Specificity

Accuracy

PPV

NPV

AUC

T2WI

Training

0.80

0.85

0.83

0.71

0.91

0.83

Testing

0.46

0.76

0.65

0.60

0.71

0.61

ADC

Training

1.00

1.00

1.00

1.00

1.00

0.98

Testing

0.47

0.87

0.71

0.63

0.74

0.74

T2WI + ADC

Training

0.90

0.91

0.91

0.84

0.96

0.94

Testing

0.47

0.80

0.68

0.61

0.73

0.73

  1. Note: PPV = positive predictive value; NPV = negative predictive value; AUC = area under the curve; ADC = apparent diffusion coefficient.
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