Initial findings in traumatic peripheral nerve injury and repair with diffusion tensor imaging
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...
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Published in | Annals of clinical and translational neurology Vol. 8; no. 2; pp. 332 - 347 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
John Wiley & Sons, Inc
01.02.2021
John Wiley and Sons Inc Wiley |
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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. |
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AbstractList | 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. 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.OBJECTIVEManagement 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.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.METHODSClinical 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.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.RESULTSFractional 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.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.INTERPRETATIONDTI 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. 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. ObjectiveManagement 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.MethodsClinical 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.ResultsFractional 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.InterpretationDTI 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. 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. 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. 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. 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. |
Author | Glassman, Gabriella E. Thayer, Wesley P. Does, Mark D. Drolet, Brian C. Pridmore, Michael D. Manzanera Esteve, Isaac V. Weikert, Douglas R. Dortch, Richard D. Pollins, Alonda C. Perdikis, Galen |
AuthorAffiliation | 2 Department of Plastic Surgery Vanderbilt University Medical Center Nashville Tennessee USA 5 Department of Neuroimaging Research Barrow Neurological Institute Phoenix Arizona USA 4 Department of Biomedical Engineering Vanderbilt University Nashville Tennessee USA 1 Vanderbilt Institute for Imaging Science Vanderbilt University Medical Center Nashville Tennessee USA 3 Department of Orthopaedic Surgery Vanderbilt University Medical Center Nashville Tennessee USA |
AuthorAffiliation_xml | – name: 4 Department of Biomedical Engineering Vanderbilt University Nashville Tennessee USA – name: 3 Department of Orthopaedic Surgery Vanderbilt University Medical Center Nashville Tennessee USA – name: 2 Department of Plastic Surgery Vanderbilt University Medical Center Nashville Tennessee USA – name: 5 Department of Neuroimaging Research Barrow Neurological Institute Phoenix Arizona USA – name: 1 Vanderbilt Institute for Imaging Science Vanderbilt University Medical Center Nashville Tennessee USA |
Author_xml | – sequence: 1 givenname: Michael D. orcidid: 0000-0002-9879-7147 surname: Pridmore fullname: Pridmore, Michael D. organization: Vanderbilt University Medical Center – sequence: 2 givenname: Gabriella E. surname: Glassman fullname: Glassman, Gabriella E. organization: Vanderbilt University Medical Center – sequence: 3 givenname: Alonda C. surname: Pollins fullname: Pollins, Alonda C. organization: Vanderbilt University Medical Center – sequence: 4 givenname: Isaac V. orcidid: 0000-0002-9282-7026 surname: Manzanera Esteve fullname: Manzanera Esteve, Isaac V. organization: Vanderbilt University Medical Center – sequence: 5 givenname: Brian C. surname: Drolet fullname: Drolet, Brian C. organization: Vanderbilt University Medical Center – sequence: 6 givenname: Douglas R. surname: Weikert fullname: Weikert, Douglas R. organization: Vanderbilt University Medical Center – sequence: 7 givenname: Mark D. surname: Does fullname: Does, Mark D. organization: Vanderbilt University – sequence: 8 givenname: Galen surname: Perdikis fullname: Perdikis, Galen organization: Vanderbilt University Medical Center – sequence: 9 givenname: Wesley P. surname: Thayer fullname: Thayer, Wesley P. organization: Vanderbilt University Medical Center – sequence: 10 givenname: Richard D. surname: Dortch fullname: Dortch, Richard D. email: richard.dortch@barrowneuro.org organization: Barrow Neurological Institute |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33403827$$D View this record in MEDLINE/PubMed |
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Copyright | 2021 The Authors. published by Wiley Periodicals LLC on behalf of American Neurological Association 2021 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association. 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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Notes | This research was supported by grants from the National Institute of Health/National Institute of Neurological Disease and Stroke R01 NS097821 (RDD) and Department of Defense W81XWH‐15‐JPC‐8/CRMRP‐NMSIRA, MR150075 (WPT). Funding Information ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Case Study-2 ObjectType-Feature-4 content type line 23 ObjectType-Report-1 ObjectType-Article-3 These authors supervised this work equally |
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Snippet | Objective
Management of peripheral nerve injuries requires physicians to rely on qualitative measures from patient history, electromyography, and physical... Management of peripheral nerve injuries requires physicians to rely on qualitative measures from patient history, electromyography, and physical exam.... ObjectiveManagement of peripheral nerve injuries requires physicians to rely on qualitative measures from patient history, electromyography, and physical exam.... Abstract Objective Management of peripheral nerve injuries requires physicians to rely on qualitative measures from patient history, electromyography, and... |
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SubjectTerms | Adult Aged Anisotropy Carpal tunnel syndrome Carpal Tunnel Syndrome - diagnostic imaging Carpal Tunnel Syndrome - physiopathology Cohort Studies Diffusion Tensor Imaging - methods Electromyography Female Human subjects Humans Injuries Magnetic resonance imaging Male Middle Aged Nerve Regeneration - physiology Peripheral Nerve Injuries - diagnostic imaging Peripheral Nerve Injuries - physiopathology Peripheral neuropathy Polyethylene glycol Recovery of Function - physiology Surgeons Surgery Trauma |
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Title | Initial findings in traumatic peripheral nerve injury and repair with diffusion tensor imaging |
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