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  • Diffuse Tensor Imaging Changes of Trigeminal Nerve in Trigeminal Neuralgia Patients Receiving Percutaneous Radiofrequency Rhizotomy

    Final Number:
    617

    Authors:
    Chih-Hao Kao MD; Jen-Tsung Yang; Martin Hsiu-Chu Lin; Yuan-Hsiung Tsai; Ming-Hsueh Lee; Wei-Chao Huang; Ping-Jui Tsai; Yu-Jen Kuo; Wei-Yuan Cheng

    Study Design:
    Clinical Trial

    Subject Category:

    Meeting: Congress of Neurological Surgeons 2017 Annual Meeting

    Introduction: Trigeminal Neuralgia is a common chronic cranial-facial pain disorder. We previously reported that diffuse tensor imaging (DTI) could be applied to assess the microstructural changes in the affected trigeminal nerve. In this study, the relationships between DTI changes before and after percutaneous radiofrequency rhizotomy, intraoperative rhizotomy needle position, and postoperative clinical outcome were evaluated.

    Methods: Thirty-four patients with trigeminal neuralgia were recruited, and DTI was performed before and two weeks after radiofrequency rhizotomy. The cistern segment of the trigeminal nerve was selected manually, the volume of the nerve, fractional anisotropy, apparent diffusion coefficient, and axial, radial and mean diffusivities were measured. During the operation, the distance between the rhizotomy needle and trigeminal cistern was measured by intraoperative CT and MRI fusion images. Numerical rating scale (NRS) was used to estimate the pain intensity before and after operation. Pain recurrence and postoperative complications were also recorded for treatment outcome assessment.

    Results: Percutaneous radiofrequency rhizotomy significantly increased the volume (72.73±14.88 vs 83.88±21.92mm3, p=0.04), fractional anisotropy (0.273±0.094 vs 0.310±0.049, p=0.05 ), and decreased in apparent diffusion coefficient (1.61±0.25x10-3 vs 1.47±0.20x10-3mm2/s, p=0.009), radial diffusivity (1.52±0.29x10-3 vs 1.38±0.18x10-3mm2/s, p=0.009) and mean diffusivity (1.26±0.30x10-3 vs 1.10±0.19x10-3mm2/s, p=0.004) of the trigeminal nerve. However, these changes of DTI parameters did not correlate with intraoperative rhizotomy needle position or pain recurrence.

    Conclusions: The differences in DTI following percutaneous radiofrequency trigeminal rhizotomy showed the significant degree of trigeminal nerve change. However, it has no prognostic value in predicting clinical outcome with respect to pain relief or recurrence. Further studies with serial DTI data over a longer period are required to determine the true clinical value of DTI changes.

    Patient Care: Further study might identify the patients who will benefit from radiofrequency rhizotomy.

    Learning Objectives: By the conclusion of the study, we can identify the image changes in trigeminal nerves after radiofrequency rhizotomy in trigeminal neuralgia patients. The change may indicate there's difference in signal conduction in the nerve, and therefore pain is resolved. However, the image change could not be correlated with clinical outcome in our study. We plan to further analyze the image of more patients to see if pre-treatment image can help us select patients who are more responsive and suitable for percutaneous radiofrequency rhizotomy.

    References: 1. Chen S, Yang J, Yeh M, Weng H, Chen C, Tsai Y. Using Diffusion Tensor Imaging to Evaluate Microstructural Changes and Outcomes after Radiofrequency Rhizotomy of Trigeminal Nerves in Patients with Trigeminal Neuralgia. PLOS ONE. 2016;11(12):e0167584. 2. Obermann M. Treatment options in trigeminal neuralgia. Therapeutic Advances in Neurological Disorders. 2010;3(2):107-115. 3. Herweh C, Kress B, Rasche D, Tronnier V, Troger J, Sartor K et al. Loss of anisotropy in trigeminal neuralgia revealed by diffusion tensor imaging. Neurology. 2007;68(10):776-778. 4. Fujiwara S, Sasaki M, Wada T, Kudo K, Hirooka R, Ishigaki D et al. High-resolution Diffusion Tensor Imaging for the Detection of Diffusion Abnormalities in the Trigeminal Nerves of Patients with Trigeminal Neuralgia Caused by Neurovascular Compression. Journal of Neuroimaging. 2011;21(2):e102-e108. 5. Lutz J, Linn J, Mehrkens J, Thon N, Stahl R, Seelos K et al. Trigeminal Neuralgia due to Neurovascular Compression: High-Spatial-Resolution Diffusion-Tensor Imaging Reveals Microstructural Neural Changes. Radiology. 2011;258(2):524-530. 6. Leal P, Roch J, Hermier M, Souza M, Cristino-Filho G, Sindou M. Structural abnormalities of the trigeminal root revealed by diffusion tensor imaging in patients with trigeminal neuralgia caused by neurovascular compression: A prospective, double-blind, controlled study. Pain. 2011;152(10):2357-2364. 7. Liu Y, Li J, Butzkueven H, Duan Y, Zhang M, Shu N et al. Microstructural abnormalities in the trigeminal nerves of patients with trigeminal neuralgia revealed by multiple diffusion metrics. European Journal of Radiology. 2013;82(5):783-786. 8. Jensen M, Karoly P, Braver S. The measurement of clinical pain intensity: a comparison of six methods. Pain. 1986;27(1):117-126. 9. Lee J. Clinically Important Change in the Visual Analog Scale after Adequate Pain Control. Academic Emergency Medicine. 2003;10(10):1128-1130.

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