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Initial findings in traumatic peripheral nerve injury and repair with diffusion tensor imaging
- Source :
- Annals of Clinical and Translational Neurology, Vol 8, Iss 2, Pp 332-347 (2021)
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- Abstract Objective Management of peripheral nerve injuries requires physicians to rely on qualitative measures from patient history, electromyography, and physical exam. Determining a successful nerve repair can take months to years for proximal injuries, and the resulting delays in clinical decision‐making can lead to a negative impact on patient outcomes. Early identification of a failed nerve repair could prevent permanent muscle atrophy and loss of function. This study aims to test the feasibility of performing diffusion tensor imaging (DTI) to evaluate injury and recovery following repair of wrist trauma. We hypothesize that DTI provides a noninvasive and reliable assessment of regeneration, which may improve clinical decision‐making and alter the clinical course of surgical interventions. Methods Clinical and MRI measurements from subjects with traumatic peripheral nerve injury, carpal tunnel syndrome, and healthy control subjects were compared to evaluate the relationship between DTI metrics and injury severity. Results Fractional anisotropy from DTI was sensitive to differences between damaged and healthy nerves, damaged and compressed nerves, and injured and healthy contralateral nerves. Longitudinal measurements in two injury subjects also related to clinical outcomes. Implications of other diffusion measures are also discussed. Interpretation DTI is a sensitive tool for wrist nerve injuries and can be utilized for monitoring nerve recovery. Across three subjects with nerve injuries, this study has shown how DTI can detect abnormalities between injured and healthy nerves, measure recovery, and determine if re‐operation was successful. Additional comparisons to carpal tunnel syndrome and healthy nerves show that DTI is sensitive to the degree of impairment.
Details
- Language :
- English
- ISSN :
- 23289503
- Volume :
- 8
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Annals of Clinical and Translational Neurology
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.9de07971ccb642d6acb4d8f47895d623
- Document Type :
- article
- Full Text :
- https://doi.org/10.1002/acn3.51270