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Record W4386689825 · doi:10.1002/mdc3.13882

Safety of Bilateral Staged Magnetic Resonance‐Guided Focused Ultrasound Thalamotomy for Essential Tremor

2023· article· en· W4386689825 on OpenAlexaffabout
Nadia Scantlebury, Camryn R. Rohringer, Jennifer S. Rabin, Yana Yunusova, Yuexi Huang, Ryan M. Jones, Ying Meng, Clement Hamani, Scotia McKinlay, Georgia Gopinath, Isabella J. Sewell, Reeman Marzouqah, Melissa McSweeney, Benjamin Lam, Kullervo Hynynen, Michael L. Schwartz, Nir Lipsman, Agessandro Abrahão

Bibliographic record

VenueMovement Disorders Clinical Practice · 2023
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsToronto Western HospitalSunnybrook HospitalHealth Sciences CentreSunnybrook Health Science CentreToronto Rehabilitation InstituteUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsThalamotomyEssential tremorMedicineMagnetic resonance imagingFocused ultrasoundUltrasoundParkinson's diseasePhysical medicine and rehabilitationRadiologyDeep brain stimulationDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Staged, open-surgical lesioning of the thalamic ventral intermediate nucleus to abate medication-refractory essential tremor (mrET) has been historically associated with a high frequency of adverse events (AEs), including speech and balance impairments.1 More recently, the real-time imaging and thermometry guidance offered by magnetic resonance-guided focused ultrasound (MRgFUS) have allowed for minimally-invasive thalamotomies with increased focal accuracy to address upper limb tremor in ET patients.2 Qualitative and semi-quantitative trials evaluating the safety of staged, bilateral MRgFUS thalamotomy have reported AEs that were mostly transient with mild to moderate severity based on patients' and physicians' perceived deficits.[3][4][5] However, a comprehensive quantitative analysis of the potential post-thalamotomy changes in stance and gait balance (ie, equilibrium), and oro-motor function is lacking.Further, cognitive assessments have been mostly limited to screening instruments.We comprehensively evaluated the incidence and severity of AEs, including changes in equilibrium, speech, and cognition, following staged, bilateral MRgFUS thalamotomy for patients with mrET.This prospective, open-label trial (NCT04720469) screened 16 consecutive mrET patients who had undergone MRgFUS thalamotomy at least 1 year prior (MRgFUS 1 ).Three patients were excluded due to mild cognitive impairment.Two others were excluded given abnormal gait, measured using the Scale for Assessment and Rating of Ataxia (SARA).6 The SARA's speech item revealed no baseline impairment.Eleven patients underwent MRgFUS 2 (seven males; median age 71 years, range 52-80 years; eight right-sided thalamotomy; Table S1).Tremor severity of individual hands was measured pre-and 3-6 months post-MRgFUS (median 3.9 months post-MRgFUS 1 ; median 4.4 post-MRgFUS 2 ) using Part A (resting, postural, action/intention) and Part B (Archimedes spiral/line drawing, water pouring) of the Clinical Rating Scales for Tremor (CRST).AEs were systematically captured during MRgFUS 2 and up to 6 months post-MRgFUS 2 .Pre-and post-MRgFUS 2 speech measures from eight patients were assessed using the Frenchay Dysarthria Assessment-2 (FDA-2), 7 a 99-word passage, and diadochokinetic single syllable repetition (eg, /pa/, /ta/, /ka).Vocal tremor was extracted as Frequency (FTrP) and Amplitude (ATrP) Tremor Power from maximum phonation task recordings (ie, "say 'ah' for as long as you can") using the TREMOR.PRAAT algorithm.8 The neuropsychological battery consisted of the Montreal Cognitive Assessment and tests measuring processing speed, attention/working memory, executive function, language, verbal fluency, and visuospatial perception.Least-square mean (LS-mean) with 95% confidence intervals (95%CI) were reported using generalized estimating equations in SAS9.4.CRST scores for the targeted hand improved after each MRgFUS (P < 0.001), while the untargeted-hand tremor had no significant change (Fig. 1A).Twenty-one AEs were identified with 81% rated as mild per the Common Terminology Criteria for AEs v5.0, consistent with other trials.[3][4][5] No severe AEs were

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.050
GPT teacher head0.384
Teacher spread0.334 · 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
GenreEmpirical

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

Citations34
Published2023
Admission routes2
Has abstractyes

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