Application of texture signatures based on multiparameter-magnetic resonance imaging for predicting microvascular invasion in hepatocellular carcinoma:Retrospective study  

作　　者：Hai-Yang Nong Yong-Yi Cen Mi Qin Wen-Qi Qin You-Xiang Xie Lin Li Man-Rong Liu Ke Ding 

机构地区：[1]Department of Radiology,The Third Affiliated Hospital of Guangxi Medical University,Nanning 530031,Guangxi Zhuang Autonomous Region,China [2]Department of Radiology,The Affiliated Hospital of Youjiang Medical University for Nationalities,Baise 533000,Guangxi Zhuang Autonomous Region,China [3]Department of Radiology,The First Affiliated Hospital of Guangxi University of Traditional Chinese Medicine,Nanning 530031,Guangxi Zhuang Autonomous Region,China [4]Department of Hepatobiliary Surgery,The Third Affiliated Hospital of Guangxi Medical University,Nanning 530031,Guangxi Zhuang Autonomous Region,China [5]Department of Ultrasound,The Third Affiliated Hospital of Guangxi Medical University,Nanning 530031,Guangxi Zhuang Autonomous Region,China

出　　处：《World Journal of Gastrointestinal Oncology》2024年第4期1309-1318,共10页世界胃肠肿瘤学杂志（英文版）（电子版）

基　　金：Supported by National Natural Science Foundation of China,No.81560278;the Health Commission of Guangxi Zhuang Autonomous Region,No.Z-A20221157,No.Z20200953,and No.G201903023.

摘　　要：BACKGROUND Despite continuous changes in treatment methods,the survival rate for advanced hepatocellular carcinoma(HCC)patients remains low,highlighting the importance of diagnostic methods for HCC.AIM To explore the efficacy of texture analysis based on multi-parametric magnetic resonance(MR)imaging(MRI)in predicting microvascular invasion(MVI)in preoperative HCC.METHODS This study included 105 patients with pathologically confirmed HCC,categorized into MVI-positive and MVI-negative groups.We employed Original Data Analysis,Principal Component Analysis,Linear Discriminant Analysis(LDA),and Non-LDA(NDA)for texture analysis using multi-parametric MR images to predict preoperative MVI.The effectiveness of texture analysis was determined using the B11 program of the MaZda4.6 software,with results expressed as the misjudgment rate(MCR).RESULTS Texture analysis using multi-parametric MRI,particularly the MI+PA+F dimensionality reduction method combined with NDA discrimination,demonstrated the most effective prediction of MVI in HCC.Prediction accuracy in the pulse and equilibrium phases was 83.81%.MCRs for the combination of T2-weighted imaging(T2WI),arterial phase,portal venous phase,and equilibrium phase were 22.86%,16.19%,20.95%,and 20.95%,respectively.The area under the curve for predicting MVI positivity was 0.844,with a sensitivity of 77.19%and specificity of 91.67%.CONCLUSION Texture analysis of arterial phase images demonstrated superior predictive efficacy for MVI in HCC compared to T2WI,portal venous,and equilibrium phases.This study provides an objective,non-invasive method for preoperative prediction of MVI,offering a theoretical foundation for the selection of clinical therapy.

关 键 词：Magnetic resonance imaging Hepatocellular carcinoma Texture analysis Microvascular invasion 

分 类 号：R735.7[医药卫生—肿瘤]