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Insights into Imaging

Table 3 Diagnostic performance of MonoE40keV-VP, VFA, and combined model in predicting POCs in patients with colon cancer by ROC analyses

From: Predictive modeling based on tumor spectral CT parameters and clinical features for postoperative complications in patients undergoing colon resection for cancer

Prediction model

AUC (95% CI)

Accuracy

Sensitivity

Specificity

MonoE40keV-VP

0.75 (0.64–0.84)

74.1%

66.7%

77.6%

VFA

0.76 (0.66–0.85)

81.2%

81.5%

81.0%

Combined model

0.84 (0.74–0.91)

84.7%

77.8%

87.9%

  1. POCs postoperative complications, MonoE virtual Monoenergetic images, VFA visceral fat area, ROC receiver operating characteristic curve, AUC area under the curve, CI confidence interval
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