Abstract

Objective:To explore the value of multi-slice spiral CT (MSCT) in predicting microvascular invasion in hepatocellular carcinoma (HCC).Methods:The CT and clinical data of 102 patients with HCC were collected for retrospective analysis from January 2018 to December 2020 at Baoji Center Hospital, China. They were divided into two groups based on the pathological results with or without microvascular invasion. The independent sample t-test was used to compare the age, alpha-fetoprotein (AFP) value, tumor size, and tumor enhancement of the two groups. CT value; χ2 test was used to compare gender, hepatitis type, liver function classification, degree of classification, degree of tumor smoothness, envelope, peripheral enhancement, etc. between the two groups.Results:There were 52 cases of non-microvascular invasion and 50 cases of microvascular invasion. The tumor size, grade, degree of margin, capsule, portal vein CT value, and peripheral enhancement were related to microvascular invasion.Conclusion:Microvascular invasion of HCC can be predicted by MSCT manifestations before surgery.

Highlights

  • Many researchers have tried to evaluate microvascular invasion using methods such as hepatic angiography and enhanced MRI

  • This study aims to predict the microvascular invasion of hepatocellular carcinoma (HCC) by multi-slice spiral CT (MSCT) imaging.[1,2,3]

  • There was no significant difference between the two groups in terms of age, gender, hepatitis type, liver function classification, AFP value, arterial phase and delayed phase CT value (P> 0.05); in tumor pathological classification, size, margin, envelope

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Summary

Introduction

Many researchers have tried to evaluate microvascular invasion using methods such as hepatic angiography and enhanced MRI. The imaging manifestations of microvascular invasion of HCC are not clear. This study aims to predict the microvascular invasion of HCC by multi-slice spiral CT (MSCT) imaging.[1,2,3] At this stage, lung CT imaging is still the primary method for diagnosing lung cancer in China. When tuberculosis and lung cancer coexist, lung cancer diagnosis and treatment are delayed due to similar symptoms. The lung CT imaging of the two is identified. The characteristics are of great significance for guiding the clinical diagnosis of tuberculosis with lung cancer

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