Literature DB >> 23098388

Preoperative detection of the neurovascular relationship in trigeminal neuralgia using three-dimensional fast imaging employing steady-state acquisition (FIESTA) and magnetic resonance angiography (MRA).

QingShi Zeng1, Qin Zhou, ZhiLing Liu, ChuanFu Li, ShiLei Ni, Feng Xue.   

Abstract

Microvascular decompression is an accepted treatment for trigeminal neuralgia (TN). Preoperative identification of neurovascular compression, therefore, could aid determination of the appropriate treatment for TN. To preoperatively visualize the neurovascular relationship, three-dimensional fast imaging employing steady-state acquisition (3D FIESTA) and magnetic resonance angiography (MRA) were performed on 37 patients with TN in our study. 3D FIESTA in combination with MRA identified surgically verified neurovascular contact in 35 of 36 symptomatic nerves. The offending vessel (artery or vein) was correctly identified in 94.4% of patients, and agreement between preoperative MRI visualization and surgical findings was excellent (k=0.92; 95% confidence interval, 0.67-1.00). Thus, 3D FIESTA in combination with MRA is useful in the detection of vascular contact with the trigeminal nerve in patients with TN.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23098388     DOI: 10.1016/j.jocn.2012.01.046

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  11 in total

1.  Preoperative evaluation of neurovascular relationship in trigeminal neuralgia by three-dimensional fast low angle shot (3D-FLASH) and three-dimensional constructive interference in steady-state (3D-CISS) MRI sequence.

Authors:  Dengfa Yang; Jianmin Shen; Xianwu Xia; Yeqing Lin; Tiejun Yang; Hanshun Lin; Yong Jin; Kaiyu Zhou; Youcheng Li
Journal:  Br J Radiol       Date:  2018-02-13       Impact factor: 3.039

2.  Virtual reality-based evaluation of neurovascular conflict for the surgical planning of microvascular decompression in trigeminal neuralgia patients.

Authors:  Samer Zawy Alsofy; Heinz Welzel Saravia; Makoto Nakamura; Christian Ewelt; Marc Lewitz; Ioanna Sakellaropoulou; Hraq Mourad Sarkis; Thomas Fortmann; Stephanie Schipmann; Eric Suero Molina; Antonio Santacroce; Asem Salma; Ralf Stroop
Journal:  Neurosurg Rev       Date:  2021-02-13       Impact factor: 3.042

Review 3.  [Orofacial pain - Trigeminal neuralgia and posttraumatic trigeminal neuropathy: Common features and differences].

Authors:  V Thieme
Journal:  Schmerz       Date:  2016-02       Impact factor: 1.107

Review 4.  Advances in diagnosis and treatment of trigeminal neuralgia.

Authors:  Nicola Montano; Giulio Conforti; Rina Di Bonaventura; Mario Meglio; Eduardo Fernandez; Fabio Papacci
Journal:  Ther Clin Risk Manag       Date:  2015-02-24       Impact factor: 2.423

5.  Comparison of T2 Weighted, Fat-Suppressed T2 Weighted, and Three-Dimensional (3D) Fast Imaging Employing Steady-State Acquisition (FIESTA-C) Sequences in the Temporomandibular Joint (TMJ) Evaluation.

Authors:  Secil Aksoy; Kaan Orhan
Journal:  Biomed Res Int       Date:  2021-12-22       Impact factor: 3.411

6.  Use of High-Resolution Magnetic Resonance Imaging (MRI) for Radiological Diagnosis of Neurovascular Conflict: A Case Report.

Authors:  Arturs Balodis; Raimonds Mikijanskis; Linda Helēna Saulkalne; Ramona Valante
Journal:  Am J Case Rep       Date:  2021-12-13

7.  Recurrent Trigeminal Neuralgia: A Case Series and a Review of the Literature.

Authors:  Harsha Vardhan; Sushmitha S; Nagammai N; Saraswathi K
Journal:  Cureus       Date:  2022-02-23

8.  Microvascular Decompression for Trigeminal Neuralgia: A regional unit's experience.

Authors:  Cathal Hannan; Alireza Shoakazemi; Gavin Quigley
Journal:  Ulster Med J       Date:  2018-01-31

Review 9.  Trigeminal Neuralgia.

Authors:  Yad Ram Yadav; Yadav Nishtha; Pande Sonjjay; Parihar Vijay; Ratre Shailendra; Khare Yatin
Journal:  Asian J Neurosurg       Date:  2017 Oct-Dec

10.  Automated Segmentation of Trigeminal Nerve and Cerebrovasculature in MR-Angiography Images by Deep Learning.

Authors:  Jinghui Lin; Lei Mou; Qifeng Yan; Shaodong Ma; Xingyu Yue; Shengjun Zhou; Zhiqing Lin; Jiong Zhang; Jiang Liu; Yitian Zhao
Journal:  Front Neurosci       Date:  2021-12-10       Impact factor: 4.677

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