Probabilistic tractography of the extracranial branches of the trigeminal nerve using diffusion tensor imaging.

Branch Cranial nerves Diffusion Diffusion tensor imaging Tractography Trigeminal nerve

Journal

Neuroradiology
ISSN: 1432-1920
Titre abrégé: Neuroradiology
Pays: Germany
ID NLM: 1302751

Informations de publication

Date de publication:
Aug 2023
Historique:
received: 03 01 2023
accepted: 12 06 2023
medline: 14 7 2023
pubmed: 22 6 2023
entrez: 22 6 2023
Statut: ppublish

Résumé

The peripheral course of the trigeminal nerves is complex and spans multiple bony foramen and tissue compartments throughout the face. Diffusion tensor imaging of these nerves is difficult due to the complex tissue interfaces and relatively low MR signal. The purpose of this work is to develop a method for reliable diffusion tensor imaging-based fiber tracking of the peripheral branches of the trigeminal nerve. We prospectively acquired imaging data from six healthy adult participants with a 3.0-Tesla system, including T2-weighted short tau inversion recovery with variable flip angle (T2-STIR-SPACE) and readout segmented echo planar diffusion weighted imaging sequences. Probabilistic tractography of the ophthalmic, infraorbital, lingual, and inferior alveolar nerves was performed manually and assessed by two observers who determined whether the fiber tracts reached defined anatomical landmarks using the T2-STIR-SPACE volume. All nerves in all subjects were tracked beyond the trigeminal ganglion. Tracts in the inferior alveolar and ophthalmic nerve exhibited the strongest signal and most consistently reached the most distal landmark (58% and 67%, respectively). All tracts of the inferior alveolar and ophthalmic nerve extended beyond their respective third benchmarks. Tracts of the infraorbital nerve and lingual nerve were comparably lower-signal and did not consistently reach the furthest benchmarks (9% and 17%, respectively). This work demonstrates a method for consistently identifying and tracking the major nerve branches of the trigeminal nerve with diffusion tensor imaging.

Identifiants

pubmed: 37347460
doi: 10.1007/s00234-023-03184-z
pii: 10.1007/s00234-023-03184-z
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1301-1309

Subventions

Organisme : NIBIB NIH HHS
ID : P41 EB027061
Pays : United States
Organisme : NIBIB NIH HHS
ID : P30 NS076408
Pays : United States
Organisme : NCATS NIH HHS
ID : TL1R002493
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1TR002494
Pays : United States
Organisme : NIBIB NIH HHS
ID : P41 EB027061
Pays : United States
Organisme : NIBIB NIH HHS
ID : P30 NS076408
Pays : United States
Organisme : NCATS NIH HHS
ID : TL1R002493
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1TR002494
Pays : United States

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Auteurs

Kellen L Mulford (KL)

Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA. mulfo019@umn.edu.

Sean L Moen (SL)

Department of Neurosurgery, University of Minnesota, Minneapolis, MN, USA.

David P Darrow (DP)

Department of Neurosurgery, University of Minnesota, Minneapolis, MN, USA.

Andrew W Grande (AW)

Department of Neurosurgery, University of Minnesota, Minneapolis, MN, USA.

Donald R Nixdorf (DR)

Department of Diagnostic and Biological Sciences, University of Minnesota, Minneapolis, MN, USA.

Pierre-Francois Van de Moortele (PF)

Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA.

Can Özütemiz (C)

Department of Radiology, University of Minnesota, Minneapolis, MN, USA.

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