Outcomes of CyberKnife Radiosurgery for Trigeminal Neuralgia in Patients with Multiple Sclerosis
Bibliographic record
Abstract
ABSTRACT Background: The outcomes of radiosurgery for trigeminal neuralgia (TN) in patients with multiple sclerosis (MS) are not as extensively assessed as those for idiopathic or classical TN cases. Objective: Evaluate the safety and efficacy of radiosurgery for TN in MS patients and identify potential predictors of successful outcomes. Methods: A retrospective single-institution cohort study with patients treated between 2009 and 2022 was performed. Fifty patients were included, and a total of 68 radiosurgical interventions were delivered. Outcomes included the maintenance of pain relief assessed using Kaplan–Meier curves and treatment-related complications. Cox regression analyses were used to identify potential predictors of better pain relief. Results: Following the first radiosurgical treatments, the initial pain relief rate was 86% after a median latency period of 14 days. Adequate pain relief rates at 6, 12, 36 and 60 months were 86%, 52%, 35% and 24%, respectively. Adequate pain relief was sustained for an actuarial median of 12.7 months. After initial relief, pain recurrence occurred in 68% of patients. No statistical difference was seen in the duration of pain relief after initial or repeat radiosurgery ( p = 0.368). The most frequent complication was facial hypesthesia (Barrow Neurological Institute facial hypesthesia scale grade II: 10%; III: 6%; IV: 0%). Ipsilateral vascular compression was predictive of better efficacy ( p = 0.024). Conclusion: Radiosurgery for TN in patients with MS appears to be safe and to provide effective pain relief. Notably, radiological identification of vascular compression may predict more sustained pain relief.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".