Preliminary quantitative assessment of liver and spleen MR imaging and elastography in clinically significant portal hypertension

Patients with clinically significant portal hypertension (CSPH) are at high risk of developing severe complications of portal hypertension. The aim of our preliminary study was to assess multiparametric liver and spleen MRI and MR elastography for the estimation of CSPH. Seventy-eight patients with advanced chronic liver disease and hepatic venous pressure gradient measurements, who had liver and spleen MRI and MR elastography were assessed. Liver and spleen elasticity and viscosity maps with texture features were derived from the MR elastography acquisitions. Liver surface nodularity (LSN) and texture features were obtained from the T2-weighted MR images. Features were analyzed with regularized generalized canonical correlation analysis for dimensionality reduction. Models based on the combination of MRI and MR elastography features were trained and evaluated, using a support vector machine classifier. Forty-eight patients (62%) had CSPH. Most models based on hepatic and/or splenic MR elastography features, T2 texture features or LSN had fair performance (AUCs 0.7–0.79) for CSPH diagnosis. Multiparametric models that included MR elastography features and LSN had good diagnostic performance (AUCs 0.8–0.89), without improvement with the addition of T2 texture features. Our results suggest that combining liver and spleen MR elastography features with LSN may produce efficient models for diagnosing CSPH.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-01-16
DOI
https://doi.org/10.1038/s41598-025-34761-2
Primary Topic
Liver Disease and Transplantation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preliminary quantitative assessment of liver and spleen MR imaging and elastography in clinically significant portal hypertension

F Joly, Riccardo Sartoris, V. Paradis, C De Margerie-Mellon et al.
Scientific Reports
Liver Disease and Transplantation
article

Preliminary quantitative assessment of liver and spleen MR imaging and elastography in clinically significant portal hypertension

F Joly, Riccardo Sartoris, V. Paradis, C De Margerie-Mellon, B. Van Beers, Arthur Tenenhaus, M. Ronot, Philippe Garteiser, Pierre-Emmanuel Rautou
article en

Abstract

Patients with clinically significant portal hypertension (CSPH) are at high risk of developing severe complications of portal hypertension. The aim of our preliminary study was to assess multiparametric liver and spleen MRI and MR elastography for the estimation of CSPH. Seventy-eight patients with advanced chronic liver disease and hepatic venous pressure gradient measurements, who had liver and spleen MRI and MR elastography were assessed. Liver and spleen elasticity and viscosity maps with texture features were derived from the MR elastography acquisitions. Liver surface nodularity (LSN) and texture features were obtained from the T2-weighted MR images. Features were analyzed with regularized generalized canonical correlation analysis for dimensionality reduction. Models based on the combination of MRI and MR elastography features were trained and evaluated, using a support vector machine classifier. Forty-eight patients (62%) had CSPH. Most models based on hepatic and/or splenic MR elastography features, T2 texture features or LSN had fair performance (AUCs 0.7–0.79) for CSPH diagnosis. Multiparametric models that included MR elastography features and LSN had good diagnostic performance (AUCs 0.8–0.89), without improvement with the addition of T2 texture features. Our results suggest that combining liver and spleen MR elastography features with LSN may produce efficient models for diagnosing CSPH.

Scientific ReportsVol. 16(1)
Supélec (FR), Inserm (FR), Université Paris Cité (FR), Université Paris-Saclay (FR), Hôpital Beaujon (FR), Assistance Publique – Hôpitaux de Paris (FR), CentraleSupélec (FR), Centre de Recherche sur l'Inflammation (FR), Hôpital Saint-Louis (FR)
Good health and well-being
Openalex Percentile: Top 85%
Liver Disease and Transplantation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.