Diffusion Tensor Imaging of Peripheral Nerves

Naraghi, Ali; Awdeh, Haitham K; Wadhwa, Vibhor; Andreisek, Gustav; Chhabra, Avneesh

doi:10.1055/s-0035-1546824

Cited by 38 publications

(10 citation statements)

References 50 publications

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“…Imaging artefacts and the small calibre of peripheral nerves hampered its use in the peripheral nervous system. However recent advances in MRI technology have extended its application to the peripheral nervous system[ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Diffusion weighted imaging: Technique and applications

Baliyan¹,

Das²,

Sharma³

et al. 2016

WJR

294

185

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Diffusion weighted imaging (DWI) is a method of signal contrast generation based on the differences in Brownian motion. DWI is a method to evaluate the molecular function and micro-architecture of the human body. DWI signal contrast can be quantified by apparent diffusion coefficient maps and it acts as a tool for treatment response evaluation and assessment of disease progression. Ability to detect and quantify the anisotropy of diffusion leads to a new paradigm called diffusion tensor imaging (DTI). DTI is a tool for assessment of the organs with highly organised fibre structure. DWI forms an integral part of modern state-of-art magnetic resonance imaging and is indispensable in neuroimaging and oncology. DWI is a field that has been undergoing rapid technical evolution and its applications are increasing every day. This review article provides insights in to the evolution of DWI as a new imaging paradigm and provides a summary of current role of DWI in various disease processes.

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Section: Introductionmentioning

confidence: 99%

Diffusion weighted imaging: Technique and applications

Baliyan¹,

Das²,

Sharma³

et al. 2016

WJR

294

185

View full text Add to dashboard Cite

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“…3,4 It recently rose to be a promising method in detecting and monitoring lesions to the peripheral nervous system for its potential to depict the microstructure of nerves. 5,6 Several clinical studies were carried out on the application of DTI in diagnosing NCS, especially the carpal tunnel syndrome (CTS). These studies demonstrated the diagnostic value of the DTI parameters, e.g.…”

mentioning

confidence: 99%

Application of diffusion tensor imaging in quantitatively monitoring chronic constriction injury of rabbit sciatic nerves: correlation with histological and functional changes

Niu

Kong

et al. 2017

The British Journal of Radiology

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“…DTI has previously been used to detect peripheral nerve regeneration as early as 1–3 months in humans 25‐27 . DTI provides a noninvasive, quantitative approach to evaluate tissue microstructures throughout the recovery process by measuring the diffusion of water molecules in tissue over multiple directions 28 . In the absence of barriers, diffusion is isotropic or equal in all directions.…”

Section: Introductionmentioning

confidence: 99%

“…In the absence of barriers, diffusion is isotropic or equal in all directions. Conversely in ordered, elongated biological tissue like axons, water diffusion is anisotropic due to its interactions with surrounding tissue structures and cellular membranes, resulting in an apparent diffusivity that is the highest along the primary direction of the axons 25,28,29 …”

Section: Introductionmentioning

confidence: 99%

Initial findings in traumatic peripheral nerve injury and repair with diffusion tensor imaging

Pridmore

Glassman

Pollins

et al. 2021

Ann Clin Transl Neurol

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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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Diffusion Tensor Imaging of Peripheral Nerves

Cited by 38 publications

References 50 publications

Diffusion weighted imaging: Technique and applications

Diffusion weighted imaging: Technique and applications

Application of diffusion tensor imaging in quantitatively monitoring chronic constriction injury of rabbit sciatic nerves: correlation with histological and functional changes

Initial findings in traumatic peripheral nerve injury and repair with diffusion tensor imaging

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