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Record W3013115952 · doi:10.1159/000506817

Magnetic Resonance-Guided Focused Ultrasound Thalamotomy to Treat Essential Tremor in Nonagenarians

2020· article· en· W3013115952 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueStereotactic and Functional Neurosurgery · 2020
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsSunnybrook Health Science CentreOntario Brain InstituteToronto Western HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsThalamotomyEssential tremorMedicineDeep brain stimulationFocused ultrasoundMagnetic resonance imagingThalamusQuality of life (healthcare)Movement disordersUltrasoundSurgeryPhysical medicine and rehabilitationRadiologyParkinson's diseaseDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Essential tremor (ET) is a disabling movement disorder that is most prevalent among the elderly. While deep brain stimulation surgery targeting the ventral intermediate nucleus of the thalamus is commonly used to treat ET, the most elderly patients or those with multiple medical comorbidities may not qualify as surgical candidates. Magnetic resonance-guided focused ultrasound (MRgFUS) constitutes a less invasive modality that may be used to perform thalamotomy without the need for a burr hole craniotomy. Here, we report on 2 patients over the age of 90 years who benefited significantly from MRgFUS thalamotomy to relieve their symptoms and improve their quality of life. The procedure was well tolerated and performed safely in both patients. We conclude that age should not be a limiting factor in the treatment of patients with MRgFUS.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.747

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.248
Teacher spread0.213 · 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