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Record W4404006132 · doi:10.3171/2024.8.focus24444

Stereotactic robot–assisted MRI-guided laser interstitial thermal therapy thalamotomy for medically intractable Holmes tremor: a pilot study and literature review

2024· review· en· W4404006132 on OpenAlexaff
Mickael Aubignat, Mélissa Tir, Martial Ouendo, Salem Boussida, Jean‐Marc Constans, Michel Lefranc

Bibliographic record

VenueNeurosurgical FOCUS · 2024
Typereview
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsCentre for Movement Disorders
Fundersnot available
KeywordsThalamotomyMedicineQuality of life (healthcare)Essential tremorRating scaleAdverse effectDeep brain stimulationActivities of daily livingClinical Global ImpressionPhysical therapyPhysical medicine and rehabilitationSurgeryParkinson's diseasePsychologyDiseaseInternal medicine

Abstract

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OBJECTIVE: Holmes tremor (HT) is a complex syndrome characterized by resting, postural, and kinetic tremors. HT significantly impacts patients' quality of life (QOL) and daily activities. Conventional pharmacological treatments for HT often yield inconsistent results. Emerging surgical treatments such as deep brain stimulation and various thalamotomy techniques show promise but come with challenges, including adverse events (AEs) and potential tremor recurrence. This study aimed to evaluate the clinical outcomes of unilateral MRI-guided laser interstitial thermal therapy (MRIgLITT) thalamotomy in patients with medically intractable HT, focusing on tremor reduction, QOL, and AE incidence, and provide a comprehensive review of the literature on thalamotomy techniques for HT. METHODS: Five patients with medically intractable HT underwent unilateral MRIgLITT thalamotomy between June 2020 and January 2023. Tremor severity was assessed using the Fahn-Tolosa-Marin Tremor Rating Scale (TRS) at baseline and at 3 and 12 months postoperatively. QOL was measured using the Quality of Life in Essential Tremor (QUEST) questionnaire and 39-item Parkinson's Disease Questionnaire (PDQ-39). Subjective patient-rated improvement was evaluated using the Patient Global Impression of Clinical Status (PGI-C) scale at 12 months. Cognitive performance was assessed using the Mini-Mental State Examination (MMSE) before the procedure and at 12 months postoperatively. AEs were monitored throughout the follow-up period. RESULTS: The mean patient age was 50.2 ± 22.37 years, with a mean tremor duration of 5.8 ± 4.55 years. Significant tremor reduction was observed in the treated hand, with mean TRS scores decreasing from 19.00 ± 4.36 at baseline to 11.20 ± 4.44 (p = 0.043) at 3 months and 13.40 ± 5.94 (p = 0.042) at 12 months, indicating a relative reduction of 41.05% and 29.47%, respectively. A significant effect was observed on the QUEST scale at 3 months (p = 0.043), but this effect was no longer present at 12 months. No significant effect was found on the PDQ-39 QOL scale. The PGI-C scale showed a high mean subjective improvement of 88.60% ± 8.36% at 12 months. One patient experienced severe AEs, including dysarthria, hemiparesis, and swallowing difficulties, which required prolonged hospitalization and multidisciplinary rehabilitation, but regressed within 3 months. Cognitive performance, as measured by the MMSE, remained stable (p = 0.785). CONCLUSIONS: Unilateral MRIgLITT thalamotomy showed promise as a treatment for medically intractable HT, providing significant tremor reduction with a favorable safety profile. However, the potential for tremor recurrence and minimal functional improvement in fine motor skills highlight the need for long-term follow-up and further research. Larger, multicenter studies are necessary to validate these findings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.091
GPT teacher head0.379
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreReview

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".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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