Risk Factors for Recurrence of Trigeminal Neuralgia After Percutaneous Balloon Compression
NCT07238244 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 700
Last updated 2025-11-20
Summary
The goal of this observational study is to develop and validate a machine learning-based model for predicting pain recurrence risk after percutaneous balloon compression (PBC) in adult patients with primary trigeminal neuralgia (TN) who had their first PBC treatment. The main questions it aims to answer are:
Can the machine learning-based model accurately predict pain recurrence after PBC in these primary TN patients? What key factors (like patient baseline traits, imaging parameters, surgical operation data) affect PBC post-operative pain recurrence? Do machine learning algorithms perform better than traditional Cox proportional hazards regression in predicting such recurrence? Participants (with existing PBC treatment records) will have their past data-including clinical info from the hospital's electronic medical record system, imaging data from the image archiving system, surgical data from the surgical anesthesia system, and follow-up data from the outpatient system-collected and analyzed to build and validate the prediction model.
Conditions
- Trigeminal Neuralgia
Interventions
- PROCEDURE
-
Percutaneous Balloon Compression
The intervention studied is Percutaneous Balloon Compression (PBC). It is a minimally invasive surgical intervention used for the treatment of primary trigeminal neuralgia (TN), which involves percutaneously inserting a balloon to compress the trigeminal ganglion, aiming to relieve pain in patients with TN who are unresponsive to drug therapy or unable to tolerate drug adverse reactions.
Sponsors & Collaborators
-
Yueyang Hospital of Traditional Chinese Medicine
collaborator UNKNOWN -
Second Xiangya Hospital of Central South University
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-12-15
- Primary Completion
- 2026-02-15
- Completion
- 2026-03-15
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