Prediction value of extracellular volume fraction combined with routine testing of markers in the classification of hepatocellular carcinoma based on enhanced CT
Objective To explore the correlation between extracellular volume fraction(ECV),routine testing of markers and pathological grading of hepatocellular carcinoma(HCC),to analyze the value of joint prediction of pathological grading of HCC.Methods A total of 170 patients with HCC confirmed by pathology in the First Affiliated Hospital of Bengbu Medical University from January 2019 to October 2023 were retrospectively collected,and divided into well-differentiated group(n=49)and moderately poorly-differentiated group(n=121)according to the pathological classification.ECV was calculated by extracting the CT images of the lesions in plain scan period and equilibrium period.The image and clinical features were analyzed by univariate and multivariate Logistic regression.Spearman was used to analyze its correlation with pathological grading of HCC.ROC curve was drawn to calculate the AUC to evaluate the diagnostic efficiency of single model and joint model.Kappa test was used to verify the Logistic regression model.Using R language to generate nomograms to visualize the prediction results.Results The differences in ECV,the ratio of neutrophil count to lymphocyte count(NLR)and alpha-fetoprotein between the two groups were statistically significant(P<0.01).The factors related to classification are NLR(r=0.381),platelet-to-lymphocyte ratio(r=0.338),system immune-inflammation index(r=0.262),ECV(r=-0.545)and contrast enhances(r=-0.349).The AUC of the joint prediction model was 0.919,which was better than each single model(AUC in ECV,NLR and alpha-fetoprotein were 0.846,0.743 and 0.635 respectively).Conclusion Extracellular volume fraction of enhanced CT combined with routine test markers has good diagnostic value for pathological grading of HCC.
hepatocellular carcinomapathological gradingextracellular volumealpha fetoproteinbalance period of enhanced CT
万方数据
维普
