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Table 2 Performance comparison of the predictive models in the development cohort

From: RESOLVE-DWI-based deep learning nomogram for prediction of normal-sized lymph node metastasis in cervical cancer: a preliminary study

Model

AUC (95% CI)

P-value

Sensitivity (%)

Specificity (%)

PPV (%)

NPV (%)

ADC

0.779 (0.696–0.848)

0.025

83.3

65.6

43.1

92.6

DWI

0.768 (0.684–0.838)

0.039

60.0

86.5

58.1

87.4

Combined

0.848 (0.774–0.906)

0.315

83.3

72.9

49.0

93.3

Nomogram

0.890 (0.821–0.938)

Reference

73.3

93.8

78.6

91.8

  1. AUC Area under the curve; CI Confidence interval; PPV Positive predictive value; NPV Negative predictive value; ADC Apparent diffusion coefficient; DWI Diffusion-weighted imaging
  2. P < 0.05 indicates statistically significant