Histological validation of T1ρ mapping for liver fibrosis assessment in animal models of non-alcoholic fatty liver disease: a preclinical study

Motivation: Hepatic steatosis is a relevant confounder in T1 mapping, leading to the underestimation of hepatic fibrosis. T1ρ mapping may overcome this limitation. Goal(s): To validate T1ρ mapping for histologic grading of hepatic fibrosis in different animal models of non-alcoholic fatty liver disease (NAFLD). Approach: Three different NAFLD models were induced(n=57): (1)non-alcoholic fatty liver(NAFL), (2)non-alcoholic steatohepatitis(NASH), and (3)NASH-cirrhosis. Twelve rats were used as controls. Results: T1ρ values correlated significantly with histopathological markers of liver fibrosis and increased consistently with the severity of fibrosis. In contrast to native T1, hepatic steatosis did not influence T1ρ values. T1ρ values were associated with portal pressure measurements. Impact: NAFLD patients with NASH and advanced fibrosis are at increased risk of adverse outcomes. Early detection and follow-up are paramount. T1ρ has the potential to overcome the limitations of conventional mapping and become a reliable biomarker for liver fibrosis quantification.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/1805
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Histological validation of T1ρ mapping for liver fibrosis assessment in animal models of non-alcoholic fatty liver disease: a preclinical study

Julian Alexander Luetkens, Narine Mesropyan, Alexander Isaak, Johannes Chang et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Liver Disease Diagnosis and Treatment
article

Histological validation of T1ρ mapping for liver fibrosis assessment in animal models of non-alcoholic fatty liver disease: a preclinical study

Julian Alexander Luetkens, Narine Mesropyan, Alexander Isaak, Johannes Chang, Christoph Katemann, O. Weber, Franziska Schneider
article en

Abstract

Motivation: Hepatic steatosis is a relevant confounder in T1 mapping, leading to the underestimation of hepatic fibrosis. T1ρ mapping may overcome this limitation. Goal(s): To validate T1ρ mapping for histologic grading of hepatic fibrosis in different animal models of non-alcoholic fatty liver disease (NAFLD). Approach: Three different NAFLD models were induced(n=57): (1)non-alcoholic fatty liver(NAFL), (2)non-alcoholic steatohepatitis(NASH), and (3)NASH-cirrhosis. Twelve rats were used as controls. Results: T1ρ values correlated significantly with histopathological markers of liver fibrosis and increased consistently with the severity of fibrosis. In contrast to native T1, hepatic steatosis did not influence T1ρ values. T1ρ values were associated with portal pressure measurements. Impact: NAFLD patients with NASH and advanced fibrosis are at increased risk of adverse outcomes. Early detection and follow-up are paramount. T1ρ has the potential to overcome the limitations of conventional mapping and become a reliable biomarker for liver fibrosis quantification.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 66%
Liver Disease Diagnosis and Treatment
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.