Recent Advances of Magnetic Resonance Neuroimaging in Trigeminal Neuralgia

Analyzing the risk factors of unilateral trigeminal neuralgia under neurovascular compression

Background

This study aimed to explore the risk factors and potential causes of unilateral classical or idiopathic trigeminal neuralgia (C-ITN) by comparing patients and healthy controls (HCs) with neurovascular compression (NVC) using machine learning (ML).

Methods

A total of 84 C-ITN patients and 78 age- and sex-matched HCs were enrolled. We assessed the trigeminal pons angle and identified the compressing vessels and their location and severity. Machine learning was employed to analyze the cisternal segment of the trigeminal nerve (CN V).

Results

Among the C-ITN patients, 53 had NVC on the unaffected side, while 25 HCs exhibited bilateral NVC, and 24 HCs showed unilateral NVC. By comparing the cisternal segment of CN V between C-ITN patients on the affected side and HCs with NVC, we identified the side of NVC, the compressing vessel, and certain texture features as risk factors for C-ITN. Additionally, four texture features differed in the structure of the cisternal segment of CN V between C-ITN patients on the unaffected side and HCs with NVC.

Conclusion

Our findings suggest that the side of NVC, the compressing vessel, and the microstructure of the cisternal segment of CN V are associated with the risk of C-ITN. Furthermore, microstructural changes observed in the cisternal segment of CN V on the unaffected side of C-ITN patients with NVC indicate possible indirect effects on the CN V to some extent.

Development and validation of radiomics models for the prediction of diagnosis of classic trigeminal neuralgia

The study aims to develop a magnetic resonance imaging (MRI)-based radiomics model for the diagnosis of classic trigeminal neuralgia (cTN). This study involved 350 patients with cTN and 100 control participants. MRI data were collected retrospectively for all the enrolled subjects. The symptomatic side trigeminal nerve regions of patients and both sides of the trigeminal nerve regions of control participants were manually labeled on MRI images. Radiomics features of the areas labeled were extracted. Principle component analysis (PCA) and least absolute shrinkage and selection operator (LASSO) regression were utilized as the preliminary feature reduction methods to decrease the high dimensionality of radiomics features. Machine learning methods were established, including LASSO logistic regression, support vector machine (SVM), and Adaboost methods, evaluating each model's diagnostic abilities using 10-fold cross-validation. All the models showed excellent diagnostic ability in predicting trigeminal neuralgia. A prospective study was conducted, 20 cTN patients and 20 control subjects were enrolled to validate the clinical utility of all models. Results showed that the radiomics models based on MRI can predict trigeminal neuralgia with high accuracy, which could be used as a diagnostic tool for this disorder.

Outcomes After Microvascular Decompression for Sole Arterial Versus Venous Compression in Trigeminal Neuralgia

OBJECTIVE

In most cases of trigeminal neuralgia (TN), the trigeminal nerve is compressed by the arterial vasculature. We sought to address the gap in understanding of pain outcomes in patients with sole arterial versus sole venous compression.

METHODS

We retrospectively reviewed all patients undergoing microvascular decompression at our institution, identifying patients with either sole arterial or venous compression. We dichotomized patients into arterial or venous groups and obtained demographics and postoperative complications for each case. Barrow Neurological Index (BNI) pain scores were collected preoperatively, postoperatively, and at final follow-up, as well as recurrence of pain. Differences were calculated via χ² tests t tests, and Mann-Whitney U Tests. Ordinal regression was used to account for variables known to influence TN pain. Kaplan-Meier analysis was used to determine recurrence-free survival.

RESULTS

Of 1044 patients, 642 (61.5%) had either sole arterial or venous compression. Of these cases, 472 showed arterial compression and 170 showed sole venous compression. Patients in the venous compression group were significantly younger (P < 0.001). Patients with sole venous compression showed worse preoperative (P = 0.04) and final follow-up (P < 0.001) pain scores. Patients with sole venous compression had significantly higher rate of pain recurrence (P = 0.02) and BNI score at pain recurrence (P = 0.04). On ordinal regression, venous compression was found to independently predict worse BNI pain scores (odds ratio, 1.66; P = 0.003). Kaplan-Meier analysis showed a significant relationship between sole venous compression and increased risk of pain recurrence (P = 0.03).

CONCLUSIONS

Patients with TN with sole venous compression show worse pain outcomes after microvascular decompression compared with those with only arterial compression.

Fluorescence visualization of the neuropathic pain triad in trigeminal neuralgia

Trigeminal neuralgia (TN), an exemplary condition of neuropathic facial pain, seriously affects the physical and mental health of patients, becoming a major medical and social problem. So far, the mechanism of TN and its relation to neuronal activity remain unclear, largely limited by the spatial resolution of visualization methods. In the meanwhile, current therapeutic strategies targeting neurons have not achieved satisfactory outcome. Here, we investigate the neuropathic pain triad in TN by establishing an animal model of TN by chronic constriction injury of the unilateral infraorbital nerve (ION-CCI) and leveraging the single-cell resolution of confocal microscopy, including neuronal hyperexcitability, glial activation, and macrophage polarization. These results can broaden the understanding of TN pathogenesis from neurons to the neuropathic pain triad, and suggest that optical microscopy can provide new opportunities for understanding the complex pathogenesis of TN at single-cell resolution, potentially contributing to the identification of more precise therapeutic targets and the development of more effective treatment modalities.

Combination of Preoperative Multimodal Image Fusion and Intraoperative Dyna CT in Percutaneous Balloon Compression of Trigeminal Ganglion for Primary Trigeminal Neuralgia: Experience in 24 Patients

Objective

We retrospectively assessed the surgical results of PBC with preoperative multimodal image fusion and intraoperative Dyna Computed Tomography (CT) in 24 patients with primary trigeminal neuralgia (PTN) to explore a valuable aid for Percutaneous balloon compression (PBC).

Methods

We studied the data of 24 patients with PTN. All patients underwent PBC and were assessed with preoperative multimodal image fusion [computed tomography (CT) and magnetic resonance imaging (MRI)] and intraoperative Dyna CT in the Department of Neurosurgery of Zhuhai People’s Hospital between October 2020 and September 2021. Multimodal image fusion—three-dimensional (3D) reconstruction of CT and MRI data—was performed using 3D-Slicer software, and preoperative evaluation was performed according to the results of image fusion. Dyna CT was used to dynamically observe the position and shape of the metallic hollow introducer and Fogarty catheter and balloon during the operation to guide the operation in real time. We performed follow-up assessments each month and summarized the clinical characteristics, surgical effects, and complications in all patients.

Results

Surgery was successful for all patients; the patients reported immediate pain relief. Surgical complications included facial numbness in 24 patients (100%), mild masseter weakness in three (12.5%), herpes zoster in three (12.5%), and balloon rupture in one (4.2%). None of the patients had serious surgical complications. The mean follow-up time was 9.6 ± 2.7 months. During the follow-up period, 22 patients (91.7%) experienced no recurrence of pain, and two patients (8.3%) experienced recurrence of pain, of which one underwent secondary PBC surgery.

Conclusions

Preoperative multimodal image reconstruction can help fully evaluate PBC surgery, clarify the etiology, and predict the volume of contrast medium required during the operation. It provided important assistance for PBC treatment of trigeminal neuralgia patients when preoperative multimodal image fusion is combined with intraoperative Dyna CT.