Magnetic resonance imaging radiomics based on artificial intelligence is helpful to evaluate the prognosis of single hepatocellular carcinoma

The integrated nomogram composed of signatures in the prediction models can not only predict the postoperative recurrence of single HCC patients but also stratify the risk of OS after the operation.

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Publication Details

Journal
Heliyon
Published
2025-01-01
DOI
https://doi.org/10.1016/j.heliyon.2025.e41735
Citations
2
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
2.64
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article

Magnetic resonance imaging radiomics based on artificial intelligence is helpful to evaluate the prognosis of single hepatocellular carcinoma

Daofeng Yang, Jing Zhou, Hao Tang
2 citations
Heliyon
Hepatocellular Carcinoma Treatment and Prognosis
2.64
article

Magnetic resonance imaging radiomics based on artificial intelligence is helpful to evaluate the prognosis of single hepatocellular carcinoma

Daofeng Yang, Jing Zhou, Hao Tang
article en
2 citations

Abstract

The integrated nomogram composed of signatures in the prediction models can not only predict the postoperative recurrence of single HCC patients but also stratify the risk of OS after the operation.

HeliyonVol. 11(1)
Tongji Hospital (CN), Huazhong University of Science and Technology (CN)
Good health and well-being
Openalex Percentile: Top 13%
Hepatocellular Carcinoma Treatment and Prognosis
2.64
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