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Study Protocol

MRI evaluation of trigeminal neuralgia patients in a rural hospital of central India

[version 1; peer review: 1 approved with reservations, 1 not approved]
PUBLISHED 22 Nov 2023
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This article is included in the Datta Meghe Institute of Higher Education and Research collection.

Abstract

Background

Trigeminal neuralgia is characterized by repetitive paroxysmal electric shock-like pain in the trigeminal nerve distribution. The most common cause implicated in this condition is neurovascular conflict, primarily by the superior cerebellar artery in the prepontine cistern. Other common causes include cerebellopontine angle tumours and aneurysms at the brainstem level. Magnetic resonance imaging (MRI) is the imaging modality of choice in evaluating trigeminal neuralgia, with 3D-FIESTA (Fast Imaging employing steady-state acquisition) being the mainstay for assessing neurovascular conflict. This study’s objective is to assess the role of MRI in evaluating trigeminal neuralgia and to study the spectrum of MRI findings associated with various causes.

Methods

The study type is a cross-sectional observational prospective study conducted at Acharya Vinoba Bhave Rural Hospital, Sawangi, on 41 patients coming to the Radiology department with clinical suspicion of trigeminal neuralgia. Descriptive statistics will summarize participants’ imaging characteristics. At the same time, comparison tests will be employed to assess the association between imaging features and diagnosis of MRI with the distribution of patient symptoms, laterality, aetiology, artery, and branch of trigeminal nerve involved. Considering ethical concerns, participants’ privacy will be protected, and all data will be handled with the utmost confidentiality.

Keywords

Trigeminal Neuralgia; MRI; Magnetic resonance imaging; Neurovascular conflict

Introduction

Trigeminal neuralgia is a disease characterized by severe paroxysmal, electric shock-like pain involving the distributions of the trigeminal nerve. The pain may occur in one or more divisions of the trigeminal nerve. Patients often describe the pain as unilateral, abrupt in onset and brief but tend to occur repeatedly many times a day.1

The trigeminal nerve is a mixed cranial nerve, i.e., it has sensory and motor components. It has one motor nucleus and three sensory nuclei in the brainstem. The motor nucleus is involved in the control of muscles of mastication and is located in pons. Among sensory nuclei, there are three divisions. The mesencephalic nucleus mediates proprioception of muscles of mastication, face, tongue, and orbit. The primary sensory nucleus is involved in facial tactile sensation and supplies touch fibres to all the divisions of the trigeminal nerve. The spinal nucleus extends from the posterior region of the pons to the upper part of the cervical cord and controls facial pain and temperature.1,2

The cisternal segment of the trigeminal nerve comprises a sensory portion which forms a large part of the nerve and a few smaller motor roots; the segment arises from the anterolateral aspect of the pons and is most involved in the neurovascular conflict. The root entry zone [REZ] in this segment, wherein conversion from central to peripheral myelin occurs, is most implicated in neurovascular compression.1

The nerve traverses through the cisternal space and reaches the Meckel’s cave via porus trigeminus. The Meckel’s cave is a CSF (Cerebrospinal fluid-filled space in the petrous apex; the trigeminal nerve forms gasserian or trigeminal ganglion. The three divisions of trigeminal nerve i.e., ophthalmic (V1), maxillary (V2) and mandibular (V3) arise from gasserian ganglion. V1, V2, and V3 separately provide sensory innervation to the face’s top, middle, and bottom thirds.2

Trigeminal neuralgia is more prevalent in women than men, with the right side of the face involved more commonly than the left side; the peak age of onset ranges from the fifth to the eighth decade of life and is more commonly found in rural populations.3

As per available literature, the most common cause for trigeminal neuralgia is neurovascular contact in the prepontine cistern, and the most implicated artery is the superior cerebellar artery and its branches.1 Other causes of trigeminal neuralgia vary upon the site of involvement; in the prepontine cistern, common causes include neurovascular compression, cerebellopontine angle tumours and aneurysms, while at the level of brainstem lesions like brainstem glioma, infarction, multiple sclerosis and cavernoma have been identified as potential causes.1

MRI is the primary imaging modality for evaluating trigeminal neuralgia, with sequences like 3D- FIESTA (Fast Imaging employing steady-state acquisition) being the mainstay. These are heavily T2-weighted sequences.1

The artefact produced by natural fluid flow is one of the challenges in imaging CSF spaces with MRI. As a result, approaches that shorten scanning time should provide higher-quality images. Here, there is the role of S.S.F.P. sequences like FIESTA. FIESTA MRI employs ultrashort repetition and echo periods to achieve highly rapid acquisition times. With solid signals from fluid and reduction of background tissue, the signal-to-noise ratio is high, resulting in superb contrast and, more crucially, anatomical features of minute structures. Therefore, allowing for better visualization of the cranial nerves.4

Microvascular decompression (MVD) has become the mainstay therapy for treating patients with trigeminal neuralgia, as neuro-vascular compression is the most common cause. Though a patient’s history is essential in prognosis post-MVD, Imaging plays a vital role in surgical planning. Surgeons rely on specific imaging findings in planning MVD. These are whether the compressing vessel is an artery or a vein, the name of the compressing vessel and whether it is compressing the proximal or distal half of the cisternal segment.5

Aim

Use magnetic resonance imaging to identify the potential causes of pain in clinically suspected trigeminal neuralgia patients.

Objective

  • 1) To observe imaging characteristics of the trigeminal nerve and its relationship with adjacent structures.

  • 2) To observe the various causes of pain in patients clinically suspected of trigeminal neuralgia.

  • 3) To identify the imaging findings correlating with clinical history in patients with pain in the region distributed by trigeminal nerve.

  • 4) To observe the response of treatment (medical or microvascular surgery) if any is advised and done.

Methods

Study design

The study is a prospective cross-section observational study to study MRI’s role in evaluating patients with trigeminal neuralgia.

Study population

Patients above the age of 18 years presenting to the department of radiodiagnosis for MRI with clinical suspicion of trigeminal neuralgia.

Place of study

The current research will be carried out at the Department of Radiodiagnosis within the rural hospital setup of Datta Meghe Institute of Higher Education and Research (D.M.I.H.E.R.).

Participant criteria

  • 1. Inclusion criteria

    • Clinically suspected cases of trigeminal neuralgia.

  • 2. Exclusion criteria

    • Patients less than <18 years of age.

    • Post-operative cases for the same.

    • Patients with psychiatric complaints.

    • Claustrophobic patients.

    • Patients are having metallic implants and cardiac pacemakers.

    • Patients who are not willing to participate in the study.

Sample size formula

nZ1α22×P×1pd2

α: Type I error at 5% l.o.s. = 1.96

β: Type II error at 20% (1-β)

Estimated proportion (p) = 0.88 = 88 (As per reference article6).

Estimation of error d = 10%

N = 1.96 * 0.88*(0.24)/(0.10)2 = 41

Procedure

The details of the procedure will be conveyed to the patient. Written informed consent will be obtained. The Phillips MRI 3 tesla machine will be used.

The MRI protocol consists of:

  • Following sequences will be employed in the evaluation:

  • Axial T1WI: duration: 1 minute, time to echo: 43, time to repetition: 3000, matrix: 143 × 143, field of view: 220 × 220 mm, slice thickness: 5 mm

  • Sagittal T1WI: duration: 1 minute 21 seconds, time to echo: 43, time to repetition: 3000, matrix: 160 × 151, field of view: 240 × 240 mm, slice thickness: 5 mm

  • Axial T2WI: duration: 54 seconds, time to echo: 87, time to repetition: 3000, matrix: 340 × 315, field of view: 220 × 220 mm, slice thickness: 5 mm

  • Coronal T2WI: duration: 48 seconds, time to echo: 87, time to repetition: 3000, matrix: 308 × 269, field of view: 199 × 199 mm, slice thickness: 5 mm

  • Sagittal T2WI: duration: 1 minute, time to echo: 87, time to repetition: 3000, matrix: 368 × 359, field of view: 240 × 240 mm, slice thickness: 5 mm

  • Axial FLAIR: duration: 2 minute 12 seconds, time to echo: 125, time to repetition: 11000, matrix: 260 × 218, field of view: 220 × 220 mm, slice thickness: 5 mm

  • Axial DWI: duration: 31 seconds, time to echo: 87, time to repetition: 2611, matrix: 152 × 122, field of view: 228 × 228 mm, slice thickness: 5 mm

  • Axial SWI: duration: 38 seconds, time to echo: 7.2, time to repetition: 31, matrix: 356 × 195, field of view: 230 × 186 mm, slice thickness: 5 mm

  • 3D FIESTA: duration: 4 minutes 34 seconds, time to echo: 240 ms, time to repetition: 2000 ms, field of view:150 × 150, matrix: 378 × 280, slice thickness: 1 mm

  • Contrast study with gadolinium-based contrast agents when there is clinical suspicion of neoplasm, demyelinating disorders and inflammatory pathologies.

  • Grading of neurovascular conflict will be as following:

    Grade 1: Close proximity of the vessel to the nerve.

    Grade 2: Vessel is seen abutting the nerve but no compression.

    Grade 3: Vessel is seen compressing the nerve.

    Grade 4: Vessel is seen compressing the nerve with distortion and atrophy of the nerve.

Variables

Primary outcome is to identify the potential causes and imaging findings on MRI using 3D -FIESTA sequence in patients with clinical suspicion of trigeminal neuralgia and to correlate the imaging findings with clinical symptoms. Following parameters will be assessed:

  • Measurement variable: Sensitivity and specificity of clinical symptoms and MRI in diagnosing trigeminal neuralgia.

  • Analysis metric: Receiver operating characteristic curves will be created to assess the diagnostic accuracy using clinical symptoms and MRI.

  • Method of aggregation: The total diagnostic performance will be evaluated by aggregating and comparing the results for specificity and sensitivity.

  • Time point: Prior to any intervention or therapy, evaluation will be done at the time of initial assessment.

Secondary Outcome is to observe response of treatment – medical and/or microvascular surgery.

  • Measurement variable: Comparison of medical treatment with surgery in treatment of trigeminal neuralgia.

  • Analysis metric: Chi-square tests will be applied and P-value will be determined.

  • Time point: evaluation will be done when patient presents for follow up after taking treatment.

Confounders: Potential confounders include factors like patient age, comorbidities, and the severity of trigeminal neuralgia symptoms. Additionally, the presence of other neurological conditions or variations in imaging techniques and interpretation could also be confounding variables.

Effect modifiers include factors like the duration of symptoms, the specific underlying cause of trigeminal neuralgia, and the presence of other neurological disorders. These factors influence how the relationship between MRI findings and the evaluation of trigeminal neuralgia varies across different subgroups of patients.

Data analysis

Data will be analyzed using the ANNOVA test (SPSS for Windows version 16) and EpiInfo version 6. When p < 0.05 will be considered as the level of statistical significance.

The following statistical methods will be employed:

  • 1. Descriptive statistics: The characteristics of the research population will be outlined and presented using descriptive statistics, including frequencies and percentages for categorical variables and standard deviation for continuous variables. The demographic and clinical features of the participants will be outlined in this.

  • 2. Correlation analysis: Correlation between imaging features and diagnosis on MRI with the distribution of patient symptoms, laterality, aetiology, artery, and branch of the trigeminal nerve involved.

Discussion

Rangaswamy, Vijaykumar Kenchanahalli et al. (2016) studied the use of MRI in evaluating cases of trigeminal neuralgia. They studied 75 patients in the age group of 18-60 years retrospectively over one year to find out about common causes of trigeminal neuralgia. They found neurovascular compression at REZ as the most common cause. Other causes identified include Cerebellopontine angle tumour, multiple sclerosis and brain stem infarction.1

Hughes, Marion A. et al. (2016) studied trigeminal nerve anatomy and tried to find relevant strategies for radiologists to delineate significant imaging findings in patients with trigeminal neuralgia on MRI. They concluded that Imaging and clinical history play a vital role in identifying patients who are suitable candidates for microvascular decompression.5

Geneidi, Eman A. Sh, et al. (2016) studied 45 patients with trigeminal pain to evaluate underlying pathology and compared the imaging findings with relevant clinical info. MRI revealed the underlying aetiology in 25 out of 45 patients. The most common cause in their study is neurovascular compression in the prepontine segment of the nerve, followed by brainstem lesions.7

Anwar, Hameed Arafath, et al. (2022) studied 67 patients with trigeminal neuralgia for neurovascular conflict using 1.5 Tesla MRI Their study focused on various parameters of neurovascular conflict, such as side, site of neurovascular conflict, and whether there was any deviation or atrophy at the site of neurovascular conflict. They looked out for features of the vascular loop causing the neurovascular conflict. They concluded that neurovascular compression involving the root entry zone strongly correlates with trigeminal neuralgia symptoms on the ipsilateral side. Also, trigeminal nerve thinning correlates with trigeminal neuralgia on the same side.6

Implications

Magnetic resonance imaging offers excellent anatomic resolution in evaluating cranial nerves, particularly with the advent of heavily T2-weighted Fast Imaging employing steady-state acquisition, i.e., FIESTA sequence. These sequences provide high-resolution images with excellent image contrast and a very high signal-to-noise ratio, allowing us to evaluate trigeminal nerves comprehensively.

Limitations

The study’s single-centre design and sample size restrictions limit its generalization capacity. Biases in selection and information may impact data. The observational design makes it difficult to demonstrate causality, and recollection bias can affect qualitative findings.

Ethical considerations

The Institutional Ethics Committee of Datta Meghe Institute of Higher Education and Research (D.U.) has approved the study protocol on 15 July 2022. Before commencing the study, we will obtain written informed consent from all participants, providing them with a comprehensive explanation of the study’s objectives. We will prioritize the interviewee’s privacy and comfort during the interview process. Reference Number: DMIMS (DU)/IEC/2022/33.

Dissemination

This study protocol will be published in an indexed journal.

Study status

The study has not yet started.

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Bora N and Singh Parihar P. MRI evaluation of trigeminal neuralgia patients in a rural hospital of central India [version 1; peer review: 1 approved with reservations, 1 not approved]. F1000Research 2023, 12:1493 (https://doi.org/10.12688/f1000research.142601.1)
NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.
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ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
Version 1
VERSION 1
PUBLISHED 22 Nov 2023
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Reviewer Report 07 Aug 2024
Gianfranco De Stefano, Sapienza University of Rome, Rome, Italy 
Not Approved
VIEWS 13
1. In the introduction, Authors state that the mainstay for the therapy of TN is microvascular decompression. Indeed, current guidelines (1) recommend medications such as sodium-channel blockers as first-line therapy, and surgery should be offered only to patients that experience ... Continue reading
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De Stefano G. Reviewer Report For: MRI evaluation of trigeminal neuralgia patients in a rural hospital of central India [version 1; peer review: 1 approved with reservations, 1 not approved]. F1000Research 2023, 12:1493 (https://doi.org/10.5256/f1000research.156168.r308103)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
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Reviewer Report 13 Jun 2024
Sami Abu Hamdeh, Uppsala University, Uppsala, Sweden 
Approved with Reservations
VIEWS 8
Review F1000research “MRI evaluation of trigeminal neuralgia patients in a rural hospital of central India”

1. The manuscript, detailing the study protocol for an upcoming MRI evaluation of patients with trigeminal neuralgia, is well-written and outlines a ... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Hamdeh SA. Reviewer Report For: MRI evaluation of trigeminal neuralgia patients in a rural hospital of central India [version 1; peer review: 1 approved with reservations, 1 not approved]. F1000Research 2023, 12:1493 (https://doi.org/10.5256/f1000research.156168.r281552)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 10 Jul 2024
    Nikita Bora, Radiodiagnosis, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, 442001, India
    10 Jul 2024
    Author Response
    1. Categorization of trigeminal neuralgia into classical, secondary, and idiopathic types will be included in the final thesis.

    2.The diagnostic criteria used is highlighted briefly in methods section with ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 10 Jul 2024
    Nikita Bora, Radiodiagnosis, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, 442001, India
    10 Jul 2024
    Author Response
    1. Categorization of trigeminal neuralgia into classical, secondary, and idiopathic types will be included in the final thesis.

    2.The diagnostic criteria used is highlighted briefly in methods section with ... Continue reading

Comments on this article Comments (0)

Version 1
VERSION 1 PUBLISHED 22 Nov 2023
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Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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