Construction of Clinical-Imaging Based Nomogram Model for the Prediction of Prognosis in Patients with TACE for Hepatocellular Carcinoma and its Clinical Application Value
Objective To construct a clinical-imaging-based nomogram model for the prediction of prognosis in patients with transcatheter arterial chemoembolization(TACE)for(hepatocellular carcinoma,HCC),and to evaluate its clinical ap-plication value.Methods Clinical and preoperative CT data of 164 HCC patients treated with TACE from January 2016 to May 2019 were retrospectively analyzed.COX regression model of risk ratio was used to screen the independent factors af-fecting the prognosis of HCC patients treated with TACE,and a combined clinical and imaging graph model was established.Internal verification of the model was carried out,and receiver operating characteristic curve(ROC)was drawn to verify the differentiation and calibration degree of the model.Results Multivariate COX regression model showed that Barcelona Clinic Liver Cancer(BCLC),alpha-fetoprotein,AFP level,number of tumors,maximum tumor diameter and irregular tumor boundary revealed by CT were independent risk factors for the prognosis of HCC patients treated with TACE.The prediction line chart was constructed according to the COX regression model.The total score of the prediction model was set as 6 points,and the cut-off point was 3 points.The HCC patients treated with TACE were divided into low risk group(0-3 points)and high risk group(3-6 points).median survival time(MST)in high-risk group was shorter than that in low-risk group,and the difference in survival curve was statistically significant.ROC curve and calibration curve were used to test internal verification of the model,and the results showed that the prediction model had a good degree of differentiation and calibration.Conclusion Nomogram model based on prognostic influencing factors has good clinical application in predicting TACE resistance in HCC patients.
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