Literature DB >> 31537003

Atrophic Changes and Diffusion Abnormalities of Affected Trigeminal Nerves in Trigeminal Neuralgia Using 7-T MRI.

Youn Joo Lee1, Hyeong Cheol Moon2,3, Sungho Tak4, Chaejoon Cheong4, Young Seok Park5,6,7.   

Abstract

BACKGROUND: Magnetic resonance imaging (MRI) has been widely used for visualizing trigeminal nerves in trigeminal neuralgia.
OBJECTIVE: To assess atrophy and diffusion abnormalities of affected trigeminal nerves in trigeminal neuralgia with 7-T MRI.
METHODS: In this prospective study, 14 patients (mean age 49 years; range 31-64 years) with trigeminal neuralgia underwent 7-T MRI. We measured trigeminal nerve volumes along their course through the pontocerebellar cistern. We also evaluated fractional anisotropy (FA) and quantitative anisotropy (QA) values within cisternal segment and pontine nuclei of the affected-side and unaffected-side trigeminal nerves, using diffusion tensor imaging (DTI). Associations between DTI metrics and Barrow Neurological Institute (BNI) pain scores were examined.
RESULTS: The volumes were significantly smaller for the affected trigeminal nerves (33.83 ± 23.12 mm3) than for the unaffected ones (47.76 ± 32.48 mm3; p = 0.008). Cisternal segment FA and QA values were significantly lower in affected trigeminal nerves than in unaffected ones. However, DTI measurements in the pontine nuclei revealed no significant differences between affected-side and unaffected-side trigeminal nerves. No DTI metrics significantly correlated with BNI pain scores.
CONCLUSION: Our results suggest that 7-T MRI allows identifications of atrophy and diffusion abnormalities of trigeminal nerves in trigeminal neuralgia.
© 2019 S. Karger AG, Basel.

Entities:  

Keywords:  Diffusion tensor imaging; Magnetic resonance imaging; Trigeminal nerve; Trigeminal neuralgia

Mesh:

Year:  2019        PMID: 31537003     DOI: 10.1159/000502222

Source DB:  PubMed          Journal:  Stereotact Funct Neurosurg        ISSN: 1011-6125            Impact factor:   1.875


  3 in total

1.  Traumatic trigeminal neuropathy after whiplash injury: A case report.

Authors:  Sung Ho Jang; Jeong Pyo Seo; Young Hyeon Kwon
Journal:  Medicine (Baltimore)       Date:  2022-03-11       Impact factor: 1.817

2.  Risk Factors for Unilateral Trigeminal Neuralgia Based on Machine Learning.

Authors:  Xiuhong Ge; Luoyu Wang; Lei Pan; Haiqi Ye; Xiaofen Zhu; Qi Feng; Zhongxiang Ding
Journal:  Front Neurol       Date:  2022-04-08       Impact factor: 4.003

3.  Amplitude of low-frequency fluctuation after a single-trigger pain in patients with classical trigeminal neuralgia.

Authors:  Xiuhong Ge; Luoyu Wang; Lei Pan; Haiqi Ye; Xiaofen Zhu; Sandra Fan; Qi Feng; Wenhua Yu; Zhongxiang Ding
Journal:  J Headache Pain       Date:  2022-09-08       Impact factor: 8.588

  3 in total

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