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The Significance Of CT,AFP And Other Clinical Indicators In Preoperative Prediction About The Microvascular Invasion Of Hepatocellular Carcinoma

Posted on:2021-03-27Degree:MasterType:Thesis
Country:ChinaCandidate:K Q YeFull Text:PDF
GTID:2404330632457558Subject:Surgery
Abstract/Summary:PDF Full Text Request
Objective: A large number of clinical indicators were analyzed to explore the role and significance of patients' age,gender,AFP? HBV DNA titer,platelet count,tumor number,tumor diameter,tumor differentiation degree,tumor boundary and tumor capsule in predicting microvascular invasion of hepatocellular carcinoma.Methods: We have retrospectively analyzed the related clinical data of 107 patients with hepatocellular carcinoma who treated at Department of Hepatobiliary Surgery,People's Hospital of Guizhou Province from March 2016 to September 2019.According to the postoperative pathologic results,patients were divided into MVI group and non-MVI group.SPSS 21 software was used for statistical analysis.Age,platelet count and HBV DNA titer were analyzed statistically by using T-test.Gender,AFP,tumor diameter,tumor number,tumor differentiation,tumor boundary and tumor capsule were analyzed statistically by using chi-square test,and P < 0.05 was considered to be statistically difference.These significant factors were analyzed by Logistic regression analysis to identify independent risk factors for HCC microvascular invasion.Results: 1.The clinical data between two groups in age(P = 0.406),gender(P = 0.788),HBV DNA titer(P = 0.605),platelet count(P =0.083),tumor number(P = 0.675)had no statistical difference.AFP(P(27)0.001),tumor diameter(P=0.000),tumor differentiation(P = 0.023),tumor boundary(P=0.013),tumor capsule(P = 0.004)were statistically significant;2.Logistic regression analysis suggested that AFP,tumor diameter and tumor capsule were independent risk factors for MVI.Conclusions: AFP > 1000 ng/m L,tumor diameter ? 5cm,and incomplete tumor were independent predictors of MVI.
Keywords/Search Tags:Hepatocellular carcinoma, Microvascular invasion, Preoperative prediction, Clinical indicators
PDF Full Text Request
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