Magnetic resonance-guided ultrasound thalamotomy for essential tremor: a review
Bibliographic record
Abstract
INTRODUCTION: Essential tremor (ET) is a common neurological disorder characterized by involuntary, rhythmic shaking, primarily of the hands. While not life-threatening, ET significantly impairs quality of life. Pharmacological treatments, like beta-blockers or anticonvulsants, often have limited efficacy, leading patients to more aggressive alternatives such as surgical intervention. Recently, magnetic resonance-guided focused ultrasound has emerged as an alternative to surgical procedures, offering incisionless lesioning of the thalamus, resulting in immediate and sustained tremor reduction. AREAS COVERED: This review explores the MRgFUS technique in the treatment of ET, reviewing clinical efficacy, safety, and procedural advances. A literature search was conducted using PubMed for articles published between January 2015 and March 2024, with the terms: 'MRgFUS,' 'essential tremor,' 'focused ultrasound thalamotomy,' and 'bilateral thalamotomy.' Key points such as patient selection, skull density ratio, monitoring, thermal effects and tractography are discussed. EXPERT OPINION: MRgFUS has transformed the treatment of ET by providing a precise, incisionless alternative now included in clinical guidelines. Challenges such as SDR limitations or restricted approved-indications limit its extended use. Advances in targeting, thermometry and other biological effects such as histotripsy could expand accessibility and indications. By 2035, MRgFUS could become a standard outpatient procedure for ET and other brain disorders.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".