What question did this study set out to answer?

The study aims to evaluate how radiomic features can predict portal hypertension severity in cirrhotic patients.

April 10, 2026Open Access

Radiomics‐Based Assessment of Portal Hypertension Severity and Risk Stratification of Cirrhotic Patients Using Routine CT Scans

Key Points

The study aims to evaluate how radiomic features can predict portal hypertension severity in cirrhotic patients.
Analyzed routine CT scans to extract radiomic features.
Utilized clinical data to establish a radiomics-clinical signature.
Evaluated the accuracy of the radiomic features in predicting hepatic venous pressure gradient (HVPG).
Radiomic features accurately predicted HVPG levels in cirrhotic patients.
Enabled effective risk stratification for liver-related events (LRE).

Abstract

Radiomic features accurately predict HVPG in patients with cirrhosis and allow risk stratification for LRE in a radiomics-clinical signature.

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Discussion

Cite this study

Sin et al. (Mon,) studied this question.

synapsesocial.com/papers/69d895046c1944d70ce06014 — DOI: https://doi.org/10.1111/liv.70633

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Authors

Celine Sin

University of Vienna

Martin Luther Watzenboeck

Medical University of Vienna

Eugenia Iofinova

Austrian Academy of Sciences

Journals

Liver International

Actions

Institutions

Inserm

Université Paris Cité

Assistance Publique – Hôpitaux de Paris

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Radiomics‐Based Assessment of Portal Hypertension Severity and Risk Stratification of Cirrhotic Patients Using Routine CT Scans

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Cite this study

Also consider

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion

Also consider