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Current Pain and Headache Reports
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28-01-2025 | Trigeminal Neuralgia | Neuromodulation (A Abd-Elsayed, Section Editor)

Trigeminal Neuralgia: Disease Characterization and Prediction of Response to Surgical Intervention

Authors: Jordan L. W. Lam, Tejas Sankar, Raymond F. Sekula, Patrick B. Senatus, Parag G. Patil

Published in: Current Pain and Headache Reports | Issue 1/2025

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Abstract

Purpose of Review

Trigeminal neuralgia (TN) is a highly heterogeneous condition with a wide choice of successful treatment options. However, differences between subtypes are poorly understood and it remains unknown which patients will respond to different treatments. This review aims to summarize the current state of the TN field and explore the problem of predicting surgical outcomes.

Recent Findings

Attempts have been made to standardize classification, outcome reporting, and treatment guidelines. Identification of risk factors for poor surgical treatment outcomes has led to the development of prognostic scoring systems to predict outcomes and guide management. Advances in imaging techniques including diffusion tensor imaging show promise in better understanding the underlying pathophysiology and predicting surgical outcomes.

Summary

Progress is hampered by lack of understanding of the pathophysiology in TN and differences between disease subtypes. Further work needs to be done to create accurate prediction tools for widespread use, including use of advanced imaging and computing tools, multicenter collaboration, and prospective validation.
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Metadata
Title
Trigeminal Neuralgia: Disease Characterization and Prediction of Response to Surgical Intervention
Authors
Jordan L. W. Lam
Tejas Sankar
Raymond F. Sekula
Patrick B. Senatus
Parag G. Patil
Publication date
28-01-2025
Publisher
Springer US
Published in
Current Pain and Headache Reports / Issue 1/2025
Print ISSN: 1531-3433
Electronic ISSN: 1534-3081
DOI
https://doi.org/10.1007/s11916-024-01316-5

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