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American journal of veterinary research2024; 1-8; doi: 10.2460/ajvr.24.03.0092

Ex vivo diffusion tensor imaging of the plantar nerves is feasible in the horse.

Abstract: The objective of this study was to optimize an MRI-based diffusion tensor imaging (DTI) protocol for imaging the plantar nerves at the level of the tarsus in normal equine limbs. Methods: 12 pelvic cadaver limbs from horses without evidence of proximal suspensory pathology were imaged with a 3T MRI system. Methods: For diffusion-weighted imaging, b values of 600, 800, and 1,000 s/mm2 were tested. Data were processed with DSI Studio. Cross-sectional areas of the medial and lateral plantar nerve along the plantar tarsus were recorded. The length and number of fiber tracts, signal-to-noise ratio, and DTI variables were recorded. Results: At the level of interest, the mean cross-sectional areas of the plantar nerves ranged from 5.03 to 7.42 mm2. The DTI maps consistently generated tracts in the region of the lateral and medial plantar nerves with DTI values in the range of values reported for peripheral nerves in humans. Our findings demonstrate that DTI of the medial and lateral plantar nerves can be performed successfully and used to generate quantitative parameters including fractional anisotropy and mean, axial, and radial diffusivity. Conclusions: Quantitative data generated with this imaging technique can be used to noninvasively characterize the microstructural integrity of neural tissue with possible applications in the evaluation of pathologic changes to the plantar tarsal and metatarsal nerves of horses with proximal suspensory desmopathy.
Publication Date: 2024-06-18 PubMed ID: 38889743DOI: 10.2460/ajvr.24.03.0092Google Scholar: Lookup
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  • Journal Article

Summary

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The research article explores the feasibility of using magnetic resonance imaging (MRI) for the imaging of plantar nerves in horses. It demonstrates that this approach can provide data that helps assess the health of these nerves.

Study Purpose

This research was primarily aimed to optimize the use of Magnetic Resonance Imaging (MRI) based Diffusion Tensor Imaging (DTI) for imaging plantar nerves in horses. For this purpose, the plantar nerves at the tarsus level in normal equine limbs were of focus.

Methods

  • The study was conducted using 12 pelvic cadaver limbs from horses that had no evidence of any proximal suspensory pathology.
  • A 3T MRI system was used to image these limbs.
  • For diffusion-weighted imaging, different b values (600, 800 and 1000 s/mm2) were experimented with.
  • These data were then processed using DSI Studio.
  • The cross-sectional areas of the medial and lateral plantar nerve along the plantar tarsus were recorded.
  • Apart from these, other parameters like the length and number of fiber tracts, signal-to-noise ratio, and DTI variables were also recorded.

Results

  • According to the results, the plantar nerves’ mean cross-sectional areas ranged between 5.03 and 7.42 mm2 at the level of interest.
  • The DTI maps generated tracts consistently in the region of the lateral and medial plantar nerves. These had DTI values in the range that has been previously reported for peripheral nerves in humans.
  • The study successfully demonstrated that DTI could be performed to generate quantitative parameters like mean, axial, and radial diffusivity along with fractional anisotropy, for the medial and lateral plantar nerves.

Conclusions

  • This imaging technique opened the way for the generation of quantitative data and is non-invasive.
  • It can be used to characterize microstructural integrity of neural tissues, possibly finding applications in evaluating the health and identifying pathologic changes to the plantar tarsal and metatarsal nerves in horses suffering from proximal suspensory desmopathy.

Cite This Article

APA
Scharf A, Cheng TY, Urion R, Hostnik E. (2024). Ex vivo diffusion tensor imaging of the plantar nerves is feasible in the horse. Am J Vet Res, 1-8. https://doi.org/10.2460/ajvr.24.03.0092

Publication

ISSN: 1943-5681
NlmUniqueID: 0375011
Country: United States
Language: English
Pages: 1-8

Researcher Affiliations

Scharf, Alexandra
    Cheng, Ting-Yu
      Urion, Rebecca
        Hostnik, Eric

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