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Original Research

Nomogram For Preoperative Prediction Of Microvascular Invasion Risk In Hepatocellular Carcinoma

, , , & ORCID Icon
Pages 9037-9045 | Published online: 22 Oct 2019

Figures & data

Table 1 Characteristics Of Patients Compared On The Basis Of Tumor Microvascular Invasion (MVI)

Figure 1 Receiver operating characteristic (ROC) curves for AFP in HCC patients according to microvascular invasion (MVI)-positive.

Figure 1 Receiver operating characteristic (ROC) curves for AFP in HCC patients according to microvascular invasion (MVI)-positive.

Figure 2 Plot of independent risk factors predicting MVI based on multivariate logistic regression analysis.

Figure 2 Plot of independent risk factors predicting MVI based on multivariate logistic regression analysis.

Figure 3 Nomogram to predict the risk of MVI preoperatively in HCC.

Figure 3 Nomogram to predict the risk of MVI preoperatively in HCC.

Figure 4 The accuracy of the nomogram for predicting MVI using ROC curve.

Figure 4 The accuracy of the nomogram for predicting MVI using ROC curve.

Figure 5 Calibration plot of the nomogram for predicting the risk of MVI.

Figure 5 Calibration plot of the nomogram for predicting the risk of MVI.

Figure 6 Decision curve analysis of our nomogram.

Figure 6 Decision curve analysis of our nomogram.

Table 2 Accuracy Of The Nomogram For Estimating The Risk Of MVI At Different Cutoff Values

Table 3 Accuracy Of The Nomogram For Estimating The Risk Of MVI At Optimal Threshold Value