Enhancing Skeletal Muscle Injury Assessment via Time-Dependent Diffusion MRI

Motivation: The diagnostic value of time-dependent diffusion MRI (td-dMRI) for assessing soft tissue injuries from closed fractures remains uncertain. Goal(s): To determine the sensitivity and diagnostic potential of td-dMRI for skeletal muscle injuries. Approach: We examined correlations between conventional diffusion MRI and td-dMRI in differentiating healthy and injured thigh muscles, comparing muscle involvement across fascial compartments at various diffusion times via td-dMRI-derived microstructural parameters. Results: Td-dMRI showed sensitively than conventional diffusion MRI, facilitating distinction between healthy and affected sides. The OGSE acquisition used in td-dMRI has a shorter diffusion time and is sensitive to muscle oedema. The posterior superficial fascial compartment was least involved. Impact: Td-dMRI improves the accuracy of skeletal muscle injury diagnosis by reliably distinguishing healthy from affected tissues, identifying muscle edema, and providing insights into compartmental involvement, particularly highlighting minimal impact on the posterior superficial compartment.

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/10.58530/2025/2221
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Skeletal Muscle Injury Assessment via Time-Dependent Diffusion MRI

Meining Chen, Thorsten Feiweier, Xinyue Niu, Jian Zhao 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
Advanced MRI Techniques and Applications
article

Enhancing Skeletal Muscle Injury Assessment via Time-Dependent Diffusion MRI

Meining Chen, Thorsten Feiweier, Xinyue Niu, Jian Zhao, Mengzhu Wang, Ping Zhang
article en

Abstract

Motivation: The diagnostic value of time-dependent diffusion MRI (td-dMRI) for assessing soft tissue injuries from closed fractures remains uncertain. Goal(s): To determine the sensitivity and diagnostic potential of td-dMRI for skeletal muscle injuries. Approach: We examined correlations between conventional diffusion MRI and td-dMRI in differentiating healthy and injured thigh muscles, comparing muscle involvement across fascial compartments at various diffusion times via td-dMRI-derived microstructural parameters. Results: Td-dMRI showed sensitively than conventional diffusion MRI, facilitating distinction between healthy and affected sides. The OGSE acquisition used in td-dMRI has a shorter diffusion time and is sensitive to muscle oedema. The posterior superficial fascial compartment was least involved. Impact: Td-dMRI improves the accuracy of skeletal muscle injury diagnosis by reliably distinguishing healthy from affected tissues, identifying muscle edema, and providing insights into compartmental involvement, particularly highlighting minimal impact on the posterior superficial compartment.

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 65%
Advanced MRI Techniques and Applications
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.