Literature DB >> 24745706

Atrophic changes in the trigeminal nerves of patients with trigeminal neuralgia due to neurovascular compression and their association with the severity of compression and clinical outcomes.

Paulo Roberto Lacerda Leal1, Charlotte Barbier, Marc Hermier, Miguel Angelo Souza, Gerardo Cristino-Filho, Marc Sindou.   

Abstract

OBJECT: The aim of this study was to prospectively evaluate atrophic changes in trigeminal nerves (TGNs) using measurements of volume (V) and cross-sectional area (CSA) from high-resolution 3-T MR images obtained in patients with unilateral trigeminal neuralgia (TN), and to correlate these data with patient and neurovascular compression (NVC) characteristics and with clinical outcomes.
METHODS: Anatomical TGN parameters (V and CSA) were obtained in 50 patients (30 women and 20 men; mean age 56.42 years, range 22-79 years) with classic TN before treatment with microvascular decompression (MVD). Parameters were compared between the symptomatic (ipsilateralTN) and asymptomatic (contralateralTN) sides of the face. Twenty normal control subjects were also included. Two independent observers blinded to the side of pain separately analyzed the images. Measurements of V (from the pons to the entrance of the nerve into Meckel's cave) and CSA (at 5 mm from the entry of the TGN into the pons) for each TGN were performed using imaging software and axial and coronal projections, respectively. These data were correlated with patient characteristics (age, duration of symptoms before MVD, side of pain, sex, and area of pain distribution), NVC characteristics (type of vessel involved in NVC, location of compression along the nerve, site of compression around the circumference of the root, and degree of compression), and clinical outcomes at the 2-year follow-up after surgery. Comparisons were made using Bonferroni's test. Interobserver variability was assessed using the Pearson correlation coefficient.
RESULTS: The mean V of the TGN on the ipsilateralTN (60.35 ± 21.74 mm(3)) was significantly smaller (p < 0.05) than those for the contralateralTN and controls (78.62 ± 24.62 mm(3) and 89.09 ± 14.72 mm(3), respectively). The mean CSA of the TGN on the ipsilateralTN (4.17 ± 1.74 mm(2)) was significantly smaller than those for the contralateralTN and controls (5.41 ± 1.89 mm(2) and 5.64 ± 0.85 mm(2), respectively). The ipsilateralTN with NVC Grade III (marked indentation) had a significantly smaller mean V than the ipsilateralTN with NVC Grade I (mere contact), although it was not significantly smaller than that of the ipsilateralTN with NVC Grade II (displacement or distortion of root). The ipsilateralTN with NVC Grade III had a significantly smaller mean CSA than the ipsilateralTN with NVC Grades I and II (p < 0.05). The TGN on the ipsilateralTN in cured patients had a smaller mean CSA than that on the ipsilateralTN of patients with partial pain relief or treatment failure (p < 0.05). The same finding was almost found in relation to measurements of V, but the p value was slightly higher at 0.05.
CONCLUSIONS: Results showed that TGN atrophy in patients with TN can be demonstrated by high-resolution imaging. These data suggest that atrophic changes in TGNs, which significantly correlated with the severity of compression and clinical outcomes, may help to predict long-term prognosis after vascular decompression.

Entities:  

Keywords:  AICA = anterior inferior cerebellar artery; BA = basilar artery; CSA = cross-sectional area; DRIVE = driven equilibrium; INF = inferior; JP = juxtapetrous segment; MC = midcisternal; MPR = multiplanar reformation; MVD = microvascular decompression; NVC = neurovascular compression; SCA = superior cerebellar artery; SL = superolateral; SM = superomedial; SPV = superior petrosal vein; TGN = trigeminal nerve; TN = trigeminal neuralgia; TOF-MRA = time-of-flight MR angiography; TPV = transverse pontine vein; TREZ = trigeminal root entry zone; V = volume; contralateralTN = side of face unaffected by TN; cross-sectional area; ipsilateralTN = side of face affected by TN; microvascular decompression; neurovascular compression; pain; three-dimensional imaging; trigeminal neuralgia; volume

Mesh:

Year:  2014        PMID: 24745706     DOI: 10.3171/2014.2.JNS131288

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  17 in total

1.  Fatal complications following microvascular decompression: could it be avoided and salvaged?

Authors:  Lei Xia; Ming-Xing Liu; Jun Zhong; Ning-Ning Dou; Bin Li; Hui Sun; Shi-Ting Li
Journal:  Neurosurg Rev       Date:  2016-10-12       Impact factor: 3.042

2.  Pain Outcomes Following Microvascular Decompression for Drug-Resistant Trigeminal Neuralgia: A Systematic Review and Meta-Analysis.

Authors:  Katherine Holste; Alvin Y Chan; John D Rolston; Dario J Englot
Journal:  Neurosurgery       Date:  2020-02-01       Impact factor: 4.654

Review 3.  Is There a Magnetic Resonance Imaging-Discernible Cause for Trigeminal Neuralgia? A Structured Review.

Authors:  Judy Alper; Raj K Shrivastava; Priti Balchandani
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4.  Spasm Freedom Following Microvascular Decompression for Hemifacial Spasm: Systematic Review and Meta-Analysis.

Authors:  Katherine Holste; Ronald Sahyouni; Zoe Teton; Alvin Y Chan; Dario J Englot; John D Rolston
Journal:  World Neurosurg       Date:  2020-04-16       Impact factor: 2.104

5.  Can pontine trigeminal T2-hyperintensity suggest herpetic etiology of trigeminal neuralgia?

Authors:  Alessandra D'Amico; Carmela Russo; Lorenzo Ugga; Federica Mazio; Elisa Capone; Felice D'Arco; Kshitij Mankad; Ferdinando Caranci; Enrico Marano; Arturo Brunetti
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Review 6.  Trigeminal neuralgia: New classification and diagnostic grading for practice and research.

Authors:  Giorgio Cruccu; Nanna B Finnerup; Troels S Jensen; Joachim Scholz; Marc Sindou; Peter Svensson; Rolf-Detlef Treede; Joanna M Zakrzewska; Turo Nurmikko
Journal:  Neurology       Date:  2016-06-15       Impact factor: 9.910

Review 7.  Structural Magnetic Resonance Imaging Can Identify Trigeminal System Abnormalities in Classical Trigeminal Neuralgia.

Authors:  Danielle D DeSouza; Mojgan Hodaie; Karen D Davis
Journal:  Front Neuroanat       Date:  2016-10-19       Impact factor: 3.856

8.  Correlation between nerve atrophy, brain grey matter volume and pain severity in patients with primary trigeminal neuralgia.

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Journal:  Cephalalgia       Date:  2018-08-07       Impact factor: 6.292

9.  Microvascular decompression as a second step treatment for trigeminal neuralgia in patients with failed two-isocentre gamma knife radiosurgery.

Authors:  Jia-Jing Wang; Zhen Zhao; Song-Shan Chai; Yi-Hao Wang; Wei Xiang
Journal:  Neurosurg Rev       Date:  2021-07-22       Impact factor: 3.042

10.  Large-diameter compression arteries as a possible facilitating factor for trigeminal neuralgia: analysis of axial and radial diffusivity.

Authors:  Wei Lin; Wan-ping Zhu; Yi-Li Chen; Guo-can Han; Yue Rong; Yu-rong Zhou; Qiao-wei Zhang
Journal:  Acta Neurochir (Wien)       Date:  2016-01-06       Impact factor: 2.216

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