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Table 5 Results on the hybrid validation for the two best models

From: MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study

 

Hybrid validation: centre C

 

AUC

(95% CI)

ACC %

(95% CI)

[rate]

SE %

(95% CI)

[rate]

SP %

(95% CI)

[rate]

NPV %

(95% CI)

[rate]

PPV %

(95% CI)

[rate]

Train_MAN + Val_AUTO

0.69

(60–89)

75

(53–88)

[21/28]

80

(50–95)

[12/15]

69

(37–90)

[9/13]

75

(54–86)

[9/12]

75

(55–83)

[12/16]

Train_AUTO + Val_MAN

0.62

(52–73)

64

(44–81)

[18/28]

47

(21–73)

[7/15]

85

(55–98)

[11/13]

58

(45–70)

[11/19]

78

(47–93)

[7/9]

  1. AUC Area under the curve, ACC Accuracy, NPV Negative predictive value, PPV Positive predictive value, SE Sensitivity, SP Specificity