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Table 4 Diagnostic performance for predicting recurrence of HCC

From: Diffusion–based virtual MR elastography for predicting recurrence of solitary hepatocellular carcinoma after hepatectomy

Parameters

Variables

AUC (95% CI)

Sensitivity (%)

Specificity (%)

Accuracy (%)

PPV

NPV

μdiff

/

0.731 (0.626–0.821)

85.71

48.08

63.22

52.63

83.33

Preoperative model

μdiff, corona enhancement

0.773 (0.670–0.856)

77.01

67.31

71.27

61.36

81.40

Postoperative model

μdiff, MVI and histologic tumor grade

0.836 (0.741–0.907)

71.43

84.62

79.31

75.76

81.48

  1. Data are presented as percentages. Data in parentheses are the number of subjects used to calculate the percentage
  2. μdiff: DWI-based virtual shear modulus. AUC: areas under the ROC curve; 95% CI: 95% confidence interval; PPV: positive predictive value; NPV: negative predictive value. MVI: microvascular invasion
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Cancer Imaging

ISSN: 1470-7330

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