Establishment of a preoperative prediction model for microvascular invasion of hepatocellular carcinoma based on maximum diameter of tumor and internal diam-eter of proper hepatic artery
Objective By investigating the risk factors associated with microvascular invasion(MVI)in the serological and CT features of hepatocellular carcinoma(HCC),the research aims to develop and validate a nomogram prediction model.Methods A retrospective analysis was conducted on the clinical data of 274 patients who underwent radical resection for hepato-cellular carcinoma in Fujian Provincial Cancer Hospital between August 15,2017 and February 9,2022.The patients were ran-domly divided into a training cohort and validation cohort in a 7∶3 ratio.Independent risk factors for microvascular invasion(MVI)positivity were identified in the training cohort,and a nomogram prediction model was developed based on these factors.Receiver operating characteristic(ROC)curves,calibration curves,and decision curves were utilized to assess the performance of the model in both the training and validation cohorts.Results Univariate analysis and multivariate logistic regression analysis identified MDT and IDOPHA as independent risk factors for MVI positivity.The area under the curve(AUC)was 0.793 in the training cohort and 0.867 in the validation cohort.The calibration curve closely aligned with a 45-degree angle,indicating that predicted values of the model closely matched the actual values across different intercepts.Furthermore,the decision curve dem-onstrated that the model had strong clinical utility.Conclusion The developed nomogram prediction model effectively forecasts the likelihood of MVI positivity preoperatively,offering valuable support for personalized treatment strategies and clinical deci-sion-making.
hepatocellular carcinomamicrovascular invasioninternal diameter of proper hepatic arterymaximum diam-eter of tumornomogram
万方数据
维普
