MRI-based 2.5D deep learning and radiomics effectively predicted microvascular invasion and Ki-67 expression in hepatocellular carcinoma

Hongmei Yu; Depeng Kong; Xiaojun Mo; Ju Huang; Jie Wu; Yang Wang; Feizhou Du

doi:10.1371/journal.pone.0336579

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Open Access

Peer-reviewed

Research Article

MRI-based 2.5D deep learning and radiomics effectively predicted microvascular invasion and Ki-67 expression in hepatocellular carcinoma

Hongmei Yu ,

Contributed equally to this work with: Hongmei Yu, Depeng Kong

Roles Conceptualization, Data curation, Formal analysis, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Radiology, Chinese People’s Liberation the General Hospital of Western Theater Command, Chengdu, China

https://orcid.org/0009-0005-6207-4536

⨯
Depeng Kong ,

Contributed equally to this work with: Hongmei Yu, Depeng Kong

Roles Conceptualization, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Medical Equipment, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, China
⨯
Xiaojun Mo,

Roles Data curation, Formal analysis, Writing – review & editing

Affiliation Department of Radiology, Chinese People’s Liberation the General Hospital of Western Theater Command, Chengdu, China
⨯
Ju Huang,

Roles Investigation, Methodology, Writing – review & editing

Affiliation Department of Radiology, Chinese People’s Liberation the General Hospital of Western Theater Command, Chengdu, China
⨯
Jie Wu,

Roles Data curation, Investigation, Methodology, Writing – review & editing

Affiliation Department of Radiology, Chinese People’s Liberation the General Hospital of Western Theater Command, Chengdu, China
⨯
Yang Wang,

Roles Data curation, Validation, Visualization, Writing – review & editing

Affiliation Department of Radiology, Chinese People’s Liberation the General Hospital of Western Theater Command, Chengdu, China
⨯
Feizhou Du

Roles Conceptualization, Funding acquisition, Project administration, Writing – review & editing

* E-mail: 12123722@qq.com

Affiliation Department of Radiology, Chinese People’s Liberation the General Hospital of Western Theater Command, Chengdu, China

https://orcid.org/0009-0002-9288-2399

⨯

MRI-based 2.5D deep learning and radiomics effectively predicted microvascular invasion and Ki-67 expression in hepatocellular carcinoma

Hongmei Yu,
Depeng Kong,
Xiaojun Mo,
Ju Huang,
Jie Wu,
Yang Wang,
Feizhou Du

Published: November 14, 2025
https://doi.org/10.1371/journal.pone.0336579

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