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Insights into Imaging
Fig. 3 | Insights into Imaging

Fig. 3

From: Development and validation of a model for predicting the expression of Ki-67 in pancreatic ductal adenocarcinoma with radiological features and dual-energy computed tomography quantitative parameters

Fig. 3

DCA outcomes for the models of Radiology, DECT, and DECT–Radiology. The y-axis and x-axis demonstrate the net benefit and threshold probability respectively. The black line represents all cases that are assumed to be high Ki-67 expression, and the grey line represents all cases that are assumed to be low Ki-67 expression. The DCA demonstrated that DECT–Radiology model was more advantageous than the Radiology model and DECT model (a, b). DCA, decision curve analysis; DECT, dual-energy computed tomography

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