Deep-learning-based analysis of preoperative MRI predicts microvascular invasion and outcome in hepatocellular carcinoma

Deep-learning-based analysis of preoperative MRI predicts microvascular invasion and outcome in hepatocellular carcinoma

Abstract Background Preoperative prediction of microvascular invasion (MVI) is critical for treatment strategy making in patients with hepatocellular carcinoma (HCC). We aimed to develop a deep learning (DL) model based on preoperative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) t...

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Bibliographic Details
Main Authors: Bao-Ye Sun, Pei-Yi Gu, Ruo-Yu Guan, Cheng Zhou, Jian-Wei Lu, Zhang-Fu Yang, Chao Pan, Pei-Yun Zhou, Ya-Ping Zhu, Jia-Rui Li, Zhu-Tao Wang, Shan-Shan Gao, Wei Gan, Yong Yi, Ye Luo, Shuang-Jian Qiu
Format: Article
Language:English
Published: BMC 2022-06-01
Series:World Journal of Surgical Oncology
Subjects:
Deep learning
Microvascular invasion
Clinical outcome
HCC
Online Access:https://doi.org/10.1186/s12957-022-02645-8

Internet

https://doi.org/10.1186/s12957-022-02645-8

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