Modeling Postoperative Nerve Regeneration Using Diffusion MRI: A Preclinical Study of a Novel Mathematical Approach
Findings suggest that automated analyses of FA profiles along the nerve may provide insights for distinguishing successful/unsuccessful nerve recovery. This tool, once proven in a larger-scale study, can provide clinicians with the needed tool to early diagnose nerve recovery and identify cases requiring a second repair surgery.
Authors
- Sara C. Chaker (ORCID: https://orcid.org/0000-0002-5259-0941)
- Barite Gutama (ORCID: https://orcid.org/0000-0001-9801-6331)
- Anvesh C. Reddy (ORCID: https://orcid.org/0000-0003-0263-3146)
- Ricardo A. Torres‐Guzman (ORCID: https://orcid.org/0000-0002-4546-551X)
- Ping Wang (ORCID: https://orcid.org/0000-0003-0490-005X)
- Noah Alter (ORCID: https://orcid.org/0009-0004-7233-3450)
- Hüseyi̇n Karagöz (ORCID: https://orcid.org/0000-0002-6546-4207)
- Isaac Manzanera Esteve
- Kezia Sharon Christopher
- Benjamin L. Savitz
- Erin Abott
- Ling Yan
- Wesley Thayer
- Andrew James
- Richard Dortch
- Anthony Hoang
- Ronald M. Cornely
Institutions
- Barrow Neurological Institute (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Muscle & Nerve
- Published
- 2025-12-22
- DOI
- https://doi.org/10.1002/mus.70110
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00