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Table 3 Diagnostic performance of US, radiomics signature, and nomogram for predicting central LN status in the training and validation cohorts

From: Ultrasound-based radiomics analysis for preoperative prediction of central and lateral cervical lymph node metastasis in papillary thyroid carcinoma: a multi-institutional study

Cohorts

Sensitivity (%)

Specificity (%)

AUC (95%CI)

Accuracy (%)

Training cohort

    

US-reported central LN status in training cohort

50.0

90.3

0.702 (0.635–0.768)

76.3

Radiomics signature in training cohort

83.7

81.1

0.839 (0.792–0.887)

82.0

Radiomics nomogram in training cohort

83.7

81.6

0.875 (0.834–0.915)

82.3

Internal validation cohort

    

US-reported central LN status in validation cohort 1

48.9

90.6

0.698 (0.599–0.797)

76.9

Radiomics signature in validation cohort 1

78.7

81.2

0.819 (0.738–0.900)

80.4

Radiomics nomogram in validation cohort 1

83.0

82.3

0.857 (0.785–0.929)

82.5

External validation cohort 1

    

US-reported central LN status in validation cohort 2

45.7

91.9

0.688 (0.600–0.776)

69.4

Radiomics signature in validation cohort 2

65.7

79.7

0.799 (0.729–0.869)

72.9

Radiomics nomogram in validation cohort 2

77.1

85.1

0.880 (0.826–0.934)

81.3

External validation cohort 2

    

US-reported central LN status in validation cohort 3

52.4

85.7

0.690 (0.587–0.794)

75.1

Radiomics signature in validation cohort 3

71.4

74.7

0.797 (0.716–0.879)

73.7

Radiomics nomogram in validation cohort 3

71.4

87.9

0.870 (0.808–0.932)

82.7

  1. US, ultrasound; CT, computed tomography; AUC, area under curve; CI, confidence interval