Preoperative prediction of hepatocellular carcinoma microvascular invasion based on magnetic resonance imaging feature extraction artificial neural network  

作　　者：Jing-Yi Xu Yu-Fan Yang Zhong-Yue Huang Xin-Ye Qian Fan-Hua Meng 

机构地区：[1]Center of Hepatobiliary Pancreatic Disease,Beijing Tsinghua Changgung Hospital,School of Clinical Medicine,Tsinghua University,Beijing 102218,China [2]Department of Surgical,Beijing Tsinghua Changgung Hospital,School of Clinical Medicine,Tsinghua University,Beijing 102218,China [3]Department of Anesthesiology,Huashan Hospital,Fudan University,Shanghai 200040,China

出　　处：《World Journal of Gastrointestinal Surgery》2024年第8期2546-2554,共9页世界胃肠外科杂志（英文版）（电子版）

基　　金：the Tsinghua University Institute of Precision Medicine,No.2022ZLA006.

摘　　要：BACKGROUND Hepatocellular carcinoma(HCC)recurrence is highly correlated with increased mortality.Microvascular invasion(MVI)is indicative of aggressive tumor biology in HCC.AIM To construct an artificial neural network(ANN)capable of accurately predicting MVI presence in HCC using magnetic resonance imaging.METHODS This study included 255 patients with HCC with tumors<3 cm.Radiologists annotated the tumors on the T1-weighted plain MR images.Subsequently,a three-layer ANN was constructed using image features as inputs to predict MVI status in patients with HCC.Postoperative pathological examination is considered the gold standard for determining MVI.Receiver operating characteristic analysis was used to evaluate the effectiveness of the algorithm.RESULTS Using the bagging strategy to vote for 50 classifier classification results,a prediction model yielded an area under the curve(AUC)of 0.79.Moreover,correlation analysis revealed that alpha-fetoprotein values and tumor volume were not significantly correlated with the occurrence of MVI,whereas tumor sphericity was significantly correlated with MVI(P<0.01).CONCLUSION Analysis of variable correlations regarding MVI in tumors with diameters<3 cm should prioritize tumor sphericity.The ANN model demonstrated strong predictive MVI for patients with HCC(AUC=0.79).

关 键 词：Hepatocellular carcinoma Microvascular invasion Artificial neural network Magnetic resonance imaging Tumor sphericity Area under the curve 

分 类 号：R735.7[医药卫生—肿瘤]