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Table 3 Performance comparison of different AI models in prediction of CLNM

From: An integrated model incorporating deep learning, hand-crafted radiomics and clinical and US features to diagnose central lymph node metastasis in patients with papillary thyroid cancer

Test cohort

AUC

95%CI

ACC (%)

SEN (%)

SPE (%)

PPV (%)

NPV (%)

ResNet

0.8189

[0.7542, 0.8835]

73.20

75.00

71.43

72.15

74.32

SVM

0.7061*

[0.6246, 0.7875]

63.40

52.63

74.03

66.67

61.29

Integrated Model

0.8406

[0.7792, 0.9020]

77.12

72.37

81.82

79.71

75.00

  1. Abbreviations: CLNM, central lymph node metastasis; ACC, accuracy; SEN, sensitivity; SPE, specificity; PPV, positive predictive value; NPV, negative predictive value; AUC, area under the receiver operating curve; CI, confidence interval *Compared with integrated model, p < 0.05
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BMC Cancer

ISSN: 1471-2407

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