基于超声造影与血液炎症指标的肝癌介入治疗后复发预测模型构建OA

Objective To construct a prediction model for recurrence of liver cancer after interventional therapy based on contrast-enhanced ultrasound and blood inflammation indicators.Methods A total of 206 patients with liver cancer who underwent interventional therapy in Lishui Central Hospital from January 2020 to January 2024 were retrospectively selected.Preoperative contrast-enhanced ultrasound and blood inflammatory indicators were detected.According to the recurrence at 1 year after operation,they were divided into recurrence group(48 cases)and non-recurrence group(158 cases).Factors influencing recurrence were analyzed,a nomogram model was constructed and verified.Results There were significant differences in contrast-enhanced ultrasoud indicators including tumor capsule type,tumor margin,tumor maximum diameter,time to peak,peak intensity,and mean transit time(MTT),as well as blood inflammation indicators including C-reactive protein(CRP),neutrophil-to-lymphocyte ratio(NLR),and platelet-to-lymphocyte ratio(PLR)between the two groups(all P＜0.05).Tumor capsule type,MTT,CRP,NLR and PLR were all influencing factors for recurrence of liver cancer after interventional therapy(all P＜0.05).ROC curve analysis showed that the AUC of the tumor capsule type,MTT,CRP,NLR,PLR and nomogram model were 0.696,0.764,0.748,0.730,0.684 and 0.925,respectively.The internal verification of the nomogram model showed that the predicted curve of the model was consistent with the ideal line.The decision curve analysis showed that when the high risk threshold was 0-1.0,the net return rate was＞0.Conclusion The nomogram model based on contrast-enhanced ultrasound and blood inflammation indicators has high predictive value for liver cancer recurrence after interventional therapy,and can provide reference for individualized risk assessment of liver cancer recurrence after interventional therapy.