Correlation Between Hepatic Iron and Fat in Hemodialysis Patients: A Quantitative MRI Analysis

Severe hepatic iron overload is closely associated with elevated liver fat content in hemodialysis patients. These MRI findings may inform more personalized iron therapy strategies by enabling a comprehensive assessment of both hepatic and extrahepatic iron deposition, potentially mitigating treatment-related complications.

Authors

Institutions

Publication Details

Journal
Kidney Medicine
Published
2025-05-20
DOI
https://doi.org/10.1016/j.xkme.2025.101035
Citations
1
Primary Topic
Iron Metabolism and Disorders
Type
article
Field-Weighted Citation Impact
1.77
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correlation Between Hepatic Iron and Fat in Hemodialysis Patients: A Quantitative MRI Analysis

Hongwei Zhao, Haijuan Lv, Xinyu Wang, Yu Zhang et al.
1 citations
Kidney Medicine
Iron Metabolism and Disorders
1.77
article

Correlation Between Hepatic Iron and Fat in Hemodialysis Patients: A Quantitative MRI Analysis

Hongwei Zhao, Haijuan Lv, Xinyu Wang, Yu Zhang, Hu Liu
article en
1 citations

Abstract

Severe hepatic iron overload is closely associated with elevated liver fat content in hemodialysis patients. These MRI findings may inform more personalized iron therapy strategies by enabling a comprehensive assessment of both hepatic and extrahepatic iron deposition, potentially mitigating treatment-related complications.

Kidney MedicineVol. 7(8)
Jiaxing University (CN), First Hospital of Jiaxing (CN)
Zero hunger
Openalex Percentile: Top 16%
Iron Metabolism and Disorders
1.77
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.