Multi-factor Analysis Of Radiofrequency Ablation Remission Rate Of Liver Cancer And Clinical Study Of Predictive Model Establishment

Objective:To explore the factors affecting the radiofrequency ablation remission rate of liver cancer,establish a risk prediction model for the main risk factors,and use the model to predict the probability of complete remission rate of liver cancer radiofrequency ablation,and guide the clinical selection of appropriate liver cancer treatment methods.Method:This study retrospectively analyzed the clinical data of 150 patients with primary liver cancer who underwent radiofrequency ablation in The First Affiliated Hospital of Nanchang University from June 2015 to June 2018,including preoperative TBIL,DBIL,AST,ALT,ALB,PLT,PT,AFP levels,history of hepatitis,degree of cirrhosis,tumor size,number,location,etc,analysis of radiofrequency ablation remission rate by t-test or?~2 test in univariate analysis and logistic regression analysis in multivariate analysis risk factors and establish a predictive scoring model for the rate of radiofrequency ablation remission in liver cancer,and evaluate its accuracy.Result:The frequency of radiofrequency ablation in 150 patients with liver cancer was 164,and the total number of lesions was 186.The average size of the lesionwas(2.83±1.95cm).One-monthpostoperativeenhancementof CT/MR/Hyperography showed a complete tumor ablation remission rate of 77.3%(116/150).Preoperative routine examination indicators:PT,ALB,PLT,AST,ALT,etc,there was no significant difference in radiofrequency ablation remission rate(P>0.05);By univariate analysis,gender,age,preoperative AFP levels and hepatitis or not had no statistically significant reduction in ablation response rate(P>0.05),while liver function grading,cirrhosis,tumor size,tumor location,tumor number,and tumor ablation Remission rate was related(P=0.004;P=0.001;P=0.000;P=0.000;P=0.023);Further multivariate analysis showed that there was no significant difference in preoperative AFP,liver function grading,and tumor number(P>0.05),and whether cirrhosis,tumor size,and tumor location were still statistically significant(P=0.041;P=0.000);P=0.000).A risk prediction model was constructed based on three risk factors including cirrhosis,tumor size and tumor location.The model formula:Z=-5.918+1.184X1+2.828X2+3.008X3+3.877X4(X1:combined with cirrhosis;X2:tumor The position is special;X3:tumor diameter is 3-5 cm;X4:tumor diameter is greater than 5 cm).The area under the ROC curve of this model is 0.791,the sensitivity is 0.735,the specificity is 0.793,and the approximate index is 0.528.Conclusion:Whether liver with cirrhosis,tumor size,and tumor location in the treatment of primary liver cancer with radiofrequency ablation is an independent risk factor for the rate of ablation.The risk prediction model thus constructed has a good evaluation efficiency and can guide the selection of treatment options for liver cancer.