Prediction of microvascular invasion in hepatocellular carcinoma based on preoperative Gd-EOB-DTPA-enhanced MRI: Comparison of predictive performance among 2D, 2D-expansion and 3D deep learning models

PurposeTo evaluate and compare the predictive performance of different deep learning models using gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in predicting microvascular invasion (MVI) in hepatocellular carcinoma.MethodsThe data of 233 patients with patholo...

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Bibliografski detalji

Glavni autori:	Tao Wang, Zhen Li, Haiyang Yu, Chongfeng Duan, Weihua Feng, Lufan Chang, Jing Yu, Fang Liu, Juan Gao, Yichen Zang, Ziwei Luo, Hao Liu, Yu Zhang, Xiaoming Zhou
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2023-02-01
Serija:	Frontiers in Oncology
Teme:	microvascular invasion hepatocellular carcinoma gadoxetic acid-enhanced MRI artificial intelligence deep learning
Online pristup:	https://www.frontiersin.org/articles/10.3389/fonc.2023.987781/full
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