Literature DB >> 29305127

7.0 Tesla MRI tractography in patients with trigeminal neuralgia.

Hyeong Cheol Moon1, Soon-Tae You2, Hyeon Man Baek3, Young Jai Jeon3, Chan-A Park3, Jei Jun Cheong3, Youn Joo Lee4, Young Seok Park5.   

Abstract

7.0 Tesla (T) high-resolution diffusion tensor imaging (DTI) can supply information on changing microstructures in cranial nerves. We investigated DTI parameters and the feasibility of DTI criteria for diagnosing trigeminal neuralgia (TN). In this study, 14 patients (28 hemispheres) of mean age 49.0 years (range, 31-64) with TN underwent DTI using 7.0 TMRI. We compared fractional anisotropy (FA), axial diffusivity (AD), mean diffusivity (MD), and radial diffusivity (RD) of affected-side and unaffected-side trigeminal nerves using DTI. We examined associations between DTI parameters and clinical characteristics for patients with TN. In patients with TN, affected sides showed significantly decreased FA and significantly increased MD, and RD compared with unaffected sides of trigeminal nerves. Nuclei were not significantly different among patients with TN. Barrow Neurological Institute (BNI) pain scores did not correlate with affected sides. 7.0 T DTI was useful for detecting neurovascular compression in patients with TN. The increased signal-to-noise ratio provided by 7 T MRI should be advantageous for increasing spatial resolution to detect microstructure changes to trigeminal nerves in patients with TN.
Copyright © 2017. Published by Elsevier Inc.

Entities:  

Keywords:  7 Tesla MRI; Diffusion Tensor Imaging, Trigeminal Nerve, Fraction anisotropy; Trigeminal Neuralgia

Mesh:

Year:  2018        PMID: 29305127     DOI: 10.1016/j.mri.2017.12.033

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  9 in total

Review 1.  Emerging Use of Ultra-High-Field 7T MRI in the Study of Intracranial Vascularity: State of the Field and Future Directions.

Authors:  J W Rutland; B N Delman; C M Gill; C Zhu; R K Shrivastava; P Balchandani
Journal:  AJNR Am J Neuroradiol       Date:  2019-12-26       Impact factor: 3.825

2.  Creation of a novel trigeminal tractography atlas for automated trigeminal nerve identification.

Authors:  Fan Zhang; Guoqiang Xie; Laura Leung; Michael A Mooney; Lorenz Epprecht; Isaiah Norton; Yogesh Rathi; Ron Kikinis; Ossama Al-Mefty; Nikos Makris; Alexandra J Golby; Lauren J O'Donnell
Journal:  Neuroimage       Date:  2020-06-20       Impact factor: 6.556

3.  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

4.  First application of 7-T ultra-high field diffusion tensor imaging to detect altered microstructure of thalamic-somatosensory anatomy in trigeminal neuralgia.

Authors:  John W Rutland; Kuang-Han Huang; Corey M Gill; Dillan F Villavisanis; Judy Alper; Gaurav Verma; Joshua B Bederson; Bradley N Delman; Raj K Shrivastava; Priti Balchandani
Journal:  J Neurosurg       Date:  2019-08-30       Impact factor: 5.115

5.  Neuroanatomical Determinants of Secondary Trigeminal Neuralgia: Application of 7T Ultra-High-Field Multimodal Magnetic Resonance Imaging.

Authors:  Annie E Arrighi-Allisan; Bradley N Delman; John W Rutland; Amy Yao; Judy Alper; Kuang-Han Huang; Priti Balchandani; Raj K Shrivastava
Journal:  World Neurosurg       Date:  2019-11-29       Impact factor: 2.104

6.  Utility of 7 Tesla MRI for Preoperative Planning of Endoscopic Endonasal Surgery for Pituitary Adenomas.

Authors:  John W Rutland; Bradley N Delman; Rebecca E Feldman; Nadejda Tsankova; Hung-Mo Lin; Francesco Padormo; Raj K Shrivastava; Priti Balchandani
Journal:  J Neurol Surg B Skull Base       Date:  2019-11-21

Review 7.  The Usefulness of Diffusion Tensor Tractography in Diagnosing Neuropathic Pain: A Narrative Review.

Authors:  Seoyon Yang; SuYeon Kwon; Min Cheol Chang
Journal:  Front Neurosci       Date:  2021-03-26       Impact factor: 4.677

8.  Trigeminal Nerve White Matter Fiber Abnormalities in Primary Trigeminal Neuralgia: A Diffusion Spectrum Imaging Study.

Authors:  Si-Ping Luo; Fan-Fan Chen; Han-Wen Zhang; Fan Lin; Guo-Dong Huang; Yi Lei
Journal:  Front Neurol       Date:  2022-01-20       Impact factor: 4.003

9.  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

  9 in total

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