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Table 2 Diagnostic efficiency of GTV, PTV, and GPTV across training and validation cohort

From: Radiomics integration based on intratumoral and peritumoral computed tomography improves the diagnostic efficiency of invasiveness in patients with pure ground-glass nodules: a machine learning, cross-sectional, bicentric study

Radiomic models

Area under curve(95%CI)

Accuracy

Sensitivity

Specificity

Positive predictive value

Negative predictive value

Training cohort

     

 GTV

0.838(0.821–0.873)

80.68%

83.80%

78.40%

73.80%

87.00%

 PTV

0.809(0.792–0.826)

72.72%

85.40%

63.80%

67.30%

83.30%

 GPTV

0.855(0.838–0.872)

81.68%

75.70%

84.30%

77.80%

77.80%

Validation cohort

     

 GTV

0.755(0.729–0.768)

72.88%

77.80%

68.80%

67.70%

78.60%

 PTV

0.777(0.701–0.812)

74.58%

78.30%

72.20%

64.30%

83.90%

 GPTV

0.801(0.719–0.902)

81.36%

75.70%

84.30%

77.80%

82.70%

  1. Abbreviation: GTV, gross tumor volume; PTV, peritumoral volumes; GPTV, GTV + PTV; CI: confidence intervals