Evidence map›Paper›PMID 40523350›Full record

ArticleJournal of neurosurgery. Case lessons2025

Robot-assisted trigeminal nerve rhizotomy with radiofrequency ablation using Globus ExcelsiusGPS: illustrative case.

Joseph Rajasekaran, Rajan Thakore, Rohaid Ali, Hael Abdulrazeq, Carlin Chuck, Deus Cielo, Clark C Chen, Prakash Sampath

Abstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Joseph RajasekaranDepartment of Neurosurgery, Drexel University College of Medicine, Philadelphia, Pennsylvania.
Rajan ThakoreDepartment of Neurosurgery, Northwestern University, Evanston, Illinois.
Rohaid AliDepartment of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Hael AbdulrazeqDepartment of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Carlin ChuckDepartment of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island.ORCID 0000-0001-5735-2654
Deus CieloDepartment of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Clark C ChenDepartment of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Prakash SampathDepartment of Neurosurgery, The Warren Alpert Medical School of Brown University, Providence, Rhode Island.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTrigeminal neuralgia (TN) is a disorder of chronic facial pain and can be treated by radiofrequency ablation (RFA) rhizotomy of the trigeminal nerve. The use of robotic systems like the Globus ExcelsiusGPS may enhance precision and safety in intracranial procedures. OBSERVATIONS: A 58-year-old male with a history of TN unresponsive to multiple treatments, including microvascular decompression (MVD) and Gamma Knife radiosurgery, underwent robot-assisted RFA rhizotomy. The Globus ExcelsiusGPS robot was used to guide a needle precisely to the gasserian ganglion through the foramen ovale. The needle's trajectory was confirmed via intraoperative CT, and RFA was performed at 70°C for 90 seconds. The procedure was well tolerated with no complications. The patient reported immediate improvement in left-sided facial pain postoperatively and was discharged the following day. At the 2-week follow-up, the patient showed resolution of preoperative symptoms. The successful implementation of robot-assisted RFA rhizotomy using the Globus ExcelsiusGPS robot for TN resulted in significant pain relief and minimal complications. LESSONS: This report demonstrates the potential of robot-assisted RFA in improving surgical precision, control, and patient outcomes in TN treatment. Further investigation into the long-term efficacy and safety of this innovative approach is warranted to fully understand its benefits and accuracy. https://thejns.org/doi/10.3171/CASE2510.

Indexed as

case reportradiofrequency ablationrobotic neurosurgerytrigeminal neuralgiatrigeminal rhizotomy

Identifiers

PMID40523350
PMCPMC12171105

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.