3D T2* Mapping of the Medial Meniscus at 7T Before and After Posterior Root Tear Repair: A Pilot Study

Motivation: Medial meniscus posterior horn root tears (MMPRTs) are serious injuries that displace the meniscus, causing extrusion and accelerated knee osteoarthritis. Goal(s): Utilize quantitative MRI at 7T to evaluate the meniscus in healthy controls and patients with MMPRTs, both before and six months after repair. Approach: Conduct 3D T2* mapping of the medial meniscus at 7T in the patients, comparing results to matched healthy controls, and examine the relationship between T2* values and meniscus extrusion. Results: T2* values were significantly elevated across the medial meniscus in pre-repair patients and remained high six months post-repair, with strong correlations to meniscus extrusion. Impact: This study utilizes the high signal-to-noise ratio of 7 Tesla and 3D T2* mapping to quantitatively and longitudinally assess meniscal tissue integrity in patients following medial meniscus posterior root tear repair, providing valuable insights into the effectiveness of the intervention.

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/10.58530/2025/4967
Primary Topic
Shoulder Injury and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

3D T2* Mapping of the Medial Meniscus at 7T Before and After Posterior Root Tear Repair: A Pilot Study

Jesse S. Smith, Jutta Ellermann, Abdul Wahed Kajabi, Abhinav Lamba 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
Shoulder Injury and Treatment
article

3D T2* Mapping of the Medial Meniscus at 7T Before and After Posterior Root Tear Repair: A Pilot Study

Jesse S. Smith, Jutta Ellermann, Abdul Wahed Kajabi, Abhinav Lamba, Robert F. LaPrade, Štefan Zbýň, Luke V. Tollefson, Eisa Hedayati, Gregor Metzger, Karsten Knutsen, Collin Steinberger
article en

Abstract

Motivation: Medial meniscus posterior horn root tears (MMPRTs) are serious injuries that displace the meniscus, causing extrusion and accelerated knee osteoarthritis. Goal(s): Utilize quantitative MRI at 7T to evaluate the meniscus in healthy controls and patients with MMPRTs, both before and six months after repair. Approach: Conduct 3D T2* mapping of the medial meniscus at 7T in the patients, comparing results to matched healthy controls, and examine the relationship between T2* values and meniscus extrusion. Results: T2* values were significantly elevated across the medial meniscus in pre-repair patients and remained high six months post-repair, with strong correlations to meniscus extrusion. Impact: This study utilizes the high signal-to-noise ratio of 7 Tesla and 3D T2* mapping to quantitatively and longitudinally assess meniscal tissue integrity in patients following medial meniscus posterior root tear repair, providing valuable insights into the effectiveness of the intervention.

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 60%
Shoulder Injury 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.