Cargando…

Correlation between diffusion tensor indices and fascicular morphometric parameters of peripheral nerve

Introduction: Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique that measures the anisotropy of water diffusion. Clinical magnetic resonance imaging scanners enable visualization of the structural integrity of larger axonal bundles in the central nervous system and small...

Descripción completa

Detalles Bibliográficos
Autores principales: Pušnik, Luka, Serša, Igor, Umek, Nejc, Cvetko, Erika, Snoj, Žiga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995878/
https://www.ncbi.nlm.nih.gov/pubmed/36909220
http://dx.doi.org/10.3389/fphys.2023.1070227
_version_ 1784902917110628352
author Pušnik, Luka
Serša, Igor
Umek, Nejc
Cvetko, Erika
Snoj, Žiga
author_facet Pušnik, Luka
Serša, Igor
Umek, Nejc
Cvetko, Erika
Snoj, Žiga
author_sort Pušnik, Luka
collection PubMed
description Introduction: Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique that measures the anisotropy of water diffusion. Clinical magnetic resonance imaging scanners enable visualization of the structural integrity of larger axonal bundles in the central nervous system and smaller structures like peripheral nerves; however, their resolution for the depiction of nerve fascicular morphology is limited. Accordingly, high-field strength MRI and strong magnetic field gradients are needed to depict the fascicular pattern. The study aimed to quantify diffusion tensor indices with high-field strength MRI within different anatomical compartments of the median nerve and determine if they correlate with nerve structure at the fascicular level. Methods: Three-dimensional pulsed gradient spin-echo (PGSE) imaging sequence in 19 different gradient directions and b value 1,150 s/mm(2) was performed on a 9.4T wide-bore vertical superconducting magnet. Nine-millimeter-long segments of five median nerve samples were obtained from fresh cadavers and acquired in sixteen 0.625 mm thick slices. Each nerve sample had the fascicles, perineurium, and interfascicular epineurium segmented. The diffusion tensor was calculated from the region-average diffusion-weighted signals for all diffusion gradient directions. Subsequently, correlations between diffusion tensor indices of segmentations and nerve structure at the fascicular level (number of fascicles, fascicular ratio, and cross-sectional area of fascicles or nerve) were assessed. The acquired diffusion tensor imaging data was employed for display with trajectories and diffusion ellipsoids. Results: The nerve fascicles proved to be the most anisotropic nerve compartment with fractional anisotropy 0.44 ± 0.05. In the interfascicular epineurium, the diffusion was more prominent in orthogonal directions with fractional anisotropy 0.13 ± 0.02. Diffusion tensor indices within the fascicles and perineurium differed significantly between the subjects (p < 0.0001); however, there were no differences within the interfascicular epineurium (p ≥ 0.37). There were no correlations between diffusion tensor indices and nerve structure at the fascicular level (p ≥ 0.29). Conclusion: High-field strength MRI enabled the depiction of the anisotropic diffusion within the fascicles and perineurium. Diffusion tensor indices of the peripheral nerve did not correlate with nerve structure at the fascicular level. Future studies should investigate the relationship between diffusion tensor indices at the fascicular level and axon- and myelin-related parameters.
format Online
Article
Text
id pubmed-9995878
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-99958782023-03-10 Correlation between diffusion tensor indices and fascicular morphometric parameters of peripheral nerve Pušnik, Luka Serša, Igor Umek, Nejc Cvetko, Erika Snoj, Žiga Front Physiol Physiology Introduction: Diffusion tensor imaging (DTI) is a magnetic resonance imaging (MRI) technique that measures the anisotropy of water diffusion. Clinical magnetic resonance imaging scanners enable visualization of the structural integrity of larger axonal bundles in the central nervous system and smaller structures like peripheral nerves; however, their resolution for the depiction of nerve fascicular morphology is limited. Accordingly, high-field strength MRI and strong magnetic field gradients are needed to depict the fascicular pattern. The study aimed to quantify diffusion tensor indices with high-field strength MRI within different anatomical compartments of the median nerve and determine if they correlate with nerve structure at the fascicular level. Methods: Three-dimensional pulsed gradient spin-echo (PGSE) imaging sequence in 19 different gradient directions and b value 1,150 s/mm(2) was performed on a 9.4T wide-bore vertical superconducting magnet. Nine-millimeter-long segments of five median nerve samples were obtained from fresh cadavers and acquired in sixteen 0.625 mm thick slices. Each nerve sample had the fascicles, perineurium, and interfascicular epineurium segmented. The diffusion tensor was calculated from the region-average diffusion-weighted signals for all diffusion gradient directions. Subsequently, correlations between diffusion tensor indices of segmentations and nerve structure at the fascicular level (number of fascicles, fascicular ratio, and cross-sectional area of fascicles or nerve) were assessed. The acquired diffusion tensor imaging data was employed for display with trajectories and diffusion ellipsoids. Results: The nerve fascicles proved to be the most anisotropic nerve compartment with fractional anisotropy 0.44 ± 0.05. In the interfascicular epineurium, the diffusion was more prominent in orthogonal directions with fractional anisotropy 0.13 ± 0.02. Diffusion tensor indices within the fascicles and perineurium differed significantly between the subjects (p < 0.0001); however, there were no differences within the interfascicular epineurium (p ≥ 0.37). There were no correlations between diffusion tensor indices and nerve structure at the fascicular level (p ≥ 0.29). Conclusion: High-field strength MRI enabled the depiction of the anisotropic diffusion within the fascicles and perineurium. Diffusion tensor indices of the peripheral nerve did not correlate with nerve structure at the fascicular level. Future studies should investigate the relationship between diffusion tensor indices at the fascicular level and axon- and myelin-related parameters. Frontiers Media S.A. 2023-02-23 /pmc/articles/PMC9995878/ /pubmed/36909220 http://dx.doi.org/10.3389/fphys.2023.1070227 Text en Copyright © 2023 Pušnik, Serša, Umek, Cvetko and Snoj. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Pušnik, Luka
Serša, Igor
Umek, Nejc
Cvetko, Erika
Snoj, Žiga
Correlation between diffusion tensor indices and fascicular morphometric parameters of peripheral nerve
title Correlation between diffusion tensor indices and fascicular morphometric parameters of peripheral nerve
title_full Correlation between diffusion tensor indices and fascicular morphometric parameters of peripheral nerve
title_fullStr Correlation between diffusion tensor indices and fascicular morphometric parameters of peripheral nerve
title_full_unstemmed Correlation between diffusion tensor indices and fascicular morphometric parameters of peripheral nerve
title_short Correlation between diffusion tensor indices and fascicular morphometric parameters of peripheral nerve
title_sort correlation between diffusion tensor indices and fascicular morphometric parameters of peripheral nerve
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995878/
https://www.ncbi.nlm.nih.gov/pubmed/36909220
http://dx.doi.org/10.3389/fphys.2023.1070227
work_keys_str_mv AT pusnikluka correlationbetweendiffusiontensorindicesandfascicularmorphometricparametersofperipheralnerve
AT sersaigor correlationbetweendiffusiontensorindicesandfascicularmorphometricparametersofperipheralnerve
AT umeknejc correlationbetweendiffusiontensorindicesandfascicularmorphometricparametersofperipheralnerve
AT cvetkoerika correlationbetweendiffusiontensorindicesandfascicularmorphometricparametersofperipheralnerve
AT snojziga correlationbetweendiffusiontensorindicesandfascicularmorphometricparametersofperipheralnerve