Gd-EOB-DTPA-enhanced MRI radiomics and deep learning models to predict microvascular invasion in hepatocellular carcinoma: a multicenter study

Gd-EOB-DTPA-enhanced MRI radiomics and deep learning models to predict microvascular invasion in hepatocellular carcinoma: a multicenter study

Abstract Background Microvascular invasion (MVI) is an important risk factor for early postoperative recurrence of hepatocellular carcinoma (HCC). Based on gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI) images, we developed a novel...

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Bibliographic Details
Main Authors: Zhu Zhu, Kaiying Wu, Jian Lu, Sunxian Dai, Dabo Xu, Wei Fang, Yixing Yu, Wenhao Gu
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Medical Imaging
Subjects:
Hepatocellular carcinoma
Microvascular invasion
Conventional radiomics
Deep learning radiomics
Magnetic resonance imaging
Gd-EOB-DTPA
Online Access:https://doi.org/10.1186/s12880-025-01646-9
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https://doi.org/10.1186/s12880-025-01646-9

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