Artificial intelligence for multi-time-point arterial phase contrast-enhanced MRI profiling to predict prognosis after transarterial chemoembolization in hepatocellular carcinoma

ProgSwin-UNETR can well predict the various risk groups of HCC patients undergoing TACE therapy and can further be applied for personalized prediction.

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Publication Details

Journal
La radiologia medica
Published
2025-07-24
DOI
https://doi.org/10.1007/s11547-025-02043-6
Citations
2
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
2.64

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article

Artificial intelligence for multi-time-point arterial phase contrast-enhanced MRI profiling to predict prognosis after transarterial chemoembolization in hepatocellular carcinoma

Thomas Joseph Vogl, Simon Bernatz, Hamzah Adwan, Hao Li et al.
2 citations
La radiologia medica
Hepatocellular Carcinoma Treatment and Prognosis
2.64
article

Artificial intelligence for multi-time-point arterial phase contrast-enhanced MRI profiling to predict prognosis after transarterial chemoembolization in hepatocellular carcinoma

Thomas Joseph Vogl, Simon Bernatz, Hamzah Adwan, Hao Li, Lin Yao
article en
2 citations

Abstract

ProgSwin-UNETR can well predict the various risk groups of HCC patients undergoing TACE therapy and can further be applied for personalized prediction.

La radiologia medicaVol. 130(10)
Goethe University Frankfurt (DE), University Hospital Frankfurt (DE)
China Scholarship Council, Goethe-Universität Frankfurt am Main
Good health and well-being
Openalex Percentile: Top 9%
Hepatocellular Carcinoma Treatment and Prognosis
2.64
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