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Table 4 Diagnostic performance of US, radiomics signature, and nomogram for predicting lateral 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 lateral LN status in training cohort

74.1

89.0

0.815 (0.716–0.915)

87.6

Radiomics signature in training cohort

77.8

90.1

0.908 (0.845–0.972)

89.0

Radiomics nomogram in training cohort

81.5

94.1

0.938 (0.887–0.989)

93.0

Internal validation cohort

    

US-reported lateral LN status in validation cohort

73.3

90.6

0.820 (0.684–0.955)

88.8

Radiomics signature in validation cohort 1

80.0

91.4

0.888 (0.786–0.990)

90.2

Radiomics nomogram in validation cohort 1

86.7

92.2

0.905 (0.789–0.999)

91.6

External validation cohort 1

    

US-reported lateral LN status in validation cohort 2

73.3

86.8

0.801 (0.665–0.936)

85.4

Radiomics signature in validation cohort 2

66.7

82.9

0.796 (0.684–0.909)

84.7

Radiomics nomogram in validation cohort 2

73.3

93.0

0.884 (0.785–0.984)

90.9

External validation cohort 2

    

US-reported lateral LN status in validation cohort 3

73.7

86.8

0.803 (0.681–0.924)

85.0

Radiomics signature in validation cohort 3

68.4

75.4

0.793 (0.683–0.903)

74.4

Radiomics nomogram in validation cohort 3

78.9

89.5

0.906 (0.841–0.971)

88.0

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