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Original Research

Development of a Prognostic Nomogram in Hepatocellular Carcinoma with Portal Vein Tumor Thrombus Following Trans-Arterial Chemoembolization with Drug-Eluting Beads

ORCID Icon, , , , , & show all
Pages 9367-9377 | Published online: 24 Dec 2021

Figures & data

Table 1 Main Baseline Demographic and Clinical Characteristics of Patients in the Training and Validation Cohorts

Table 2 Preoperative Clinical Risk Factors for Overall Survival in Patients with HCC

Table 3 Test the Proportional Hazards Assumption of Clinical Characteristic Using Schoenfeld Residual Test

Figure 1 Visualization of Schoenfeld residual test of proportional hazards assumption for clinical characteristics.

Figure 1 Visualization of Schoenfeld residual test of proportional hazards assumption for clinical characteristics.

Table 4 The Median Survival Time and Survival Rate According to Risk Stratification

Figure 2 Kaplan–Meier analysis of risk score with overall survival (OS). (A) Patients with low-risk score (separated by the cut-off value of 2.00) demonstrated significant longer OS compared to patients with high-risk score in the training cohort (p < 0.0001). (B) Patients with low-risk score (≤ 2.00) showed longer OS than patients with high-risk score in the test cohort (p = 0.00014).

Figure 2 Kaplan–Meier analysis of risk score with overall survival (OS). (A) Patients with low-risk score (separated by the cut-off value of 2.00) demonstrated significant longer OS compared to patients with high-risk score in the training cohort (p < 0.0001). (B) Patients with low-risk score (≤ 2.00) showed longer OS than patients with high-risk score in the test cohort (p = 0.00014).

Figure 3 A nomogram to predict the 6-, 12- and 18-month survival rates for patients in the training cohort.

Figure 3 A nomogram to predict the 6-, 12- and 18-month survival rates for patients in the training cohort.

Figure 4 ROC curves for the nomogram at 6-, 12- and 18-month in the training cohort (A) and test cohort (B).

Figure 4 ROC curves for the nomogram at 6-, 12- and 18-month in the training cohort (A) and test cohort (B).

Figure 5 Time-dependent ROC curves to show the trend of AUC values over time both in the training and test cohorts.

Figure 5 Time-dependent ROC curves to show the trend of AUC values over time both in the training and test cohorts.

Figure 6 Calibration curves to evaluate the performance of the nomogram in 6-, 12- and 18-month survival rates in the training (AC) and test (DF) cohorts.

Figure 6 Calibration curves to evaluate the performance of the nomogram in 6-, 12- and 18-month survival rates in the training (A–C) and test (D–F) cohorts.

Figure 7 Decision curve analysis for overall survival at 6-, 12- and 18-month in the training cohort (AC) and test cohort (DF). Black line: All patients dead. Gray line: None patients dead. Blue line: Model of nomogram.

Figure 7 Decision curve analysis for overall survival at 6-, 12- and 18-month in the training cohort (A–C) and test cohort (D–F). Black line: All patients dead. Gray line: None patients dead. Blue line: Model of nomogram.