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Record W4210811419 · doi:10.1161/str.53.suppl_1.65

Abstract 65: Assessment Of MR Blood-Oxygen-Level-Dependent Cerebrovascular Reactivity Under General Anaesthesia In Children With Moyamoya

2022· article· en· W4210811419 on OpenAlexaff
Eun Jung Choi, William J. Logan, Fenella J. Kirkham, Amanda Robertson, Prakash Muthusami, Manohar Shroff, Mahendranath Moharir, Peter B. Dirks, Daune MacGregor, Mahmoud Slim, Elizabeth Pulcine, Ishvinder Bhathal, Matsanga Leyila Kaseka, David Levin, Andrea Kassner, Gabrielle deVeber, Nomazulu Dlamini

Bibliographic record

VenueStroke · 2022
Typearticle
Languageen
FieldMedicine
TopicMoyamoya disease diagnosis and treatment
Canadian institutionsUniversity of TorontoHospital for Sick ChildrenSickKids Foundation
Fundersnot available
KeywordsMedicineIntraclass correlationRepeatabilityWhite matterOcclusionMoyamoya diseaseStroke (engine)Circle of WillisAnesthesiaAnalysis of varianceNuclear medicineCardiologyMagnetic resonance imagingSurgeryInternal medicineRadiology

Abstract

fetched live from OpenAlex

Background: Moyamoya is a progressive arteriopathy condition characterized by steno-occlusion of the arteries of the circle of Willis. MRI performed with hypercapnic challenge can image blood-oxygen-level-dependent cerebrovascular reactivity (BOLD-CVR) thereby assessing cerebrovascular reserve. MRI studies of children <7 years of age, or with significant behavioural challenges require anesthesia. The purpose of this study was to validate the use of ventilator-induced hypercapnic challenge under general anaesthesia (GA). Methods: Children with moyamoya underwent two BOLD-CVR imaging in the same session under GA (GA-CVR). Differences in CVR estimates and intraclass correlation coefficient (ICC) between repeated scans were examined to determine repeatability across grey and white matter tissue and vascular territories. Bland-Altman plots were used to visulaize the overall variation between the scans. The associations with age, moyamoya types, and stroke presentation were also examined. Qualitative scoring by visual inspection was also conducted by trained neurologists. Results: Thirty-two paired GA-CVR studies (sixty-four scans in total) were analyzed (mean age: 7.07 (2.74 -17.95) years, 13 females). Forty-one percent (41%) were under 7 and 77%, under 10. No significant differences between repeated scans were found for any of the CVR estimates, when summarized by tissue and vascular territory. Of the paired studies, repeatability (ICC) for the whole-brain CVR estimates was excellent (≥0.74) in 14 (43.8%), good (≤0.59, >0.74) in 7 (21.9%), fair (≤0.41, >0.59) in 6 (18.8%) and poor (<0.41) in 5 (15.6%). Bland-Altman plots illustrated the overall variation of whole-brain CVR within 95% confidence interval level. Repeatability indices were not affected by children’s age and other clinical factors. On qualitative scoring, the Cohen weighted kappa showed substantial agreement in both right (0.75) and left (0.81) hemispheres. Conclusion: Our study support the clinical use of GA-CVR across all ages and disease conditions. The GA-CVR provides a feasible, repeatable, and reliably interpretable tool for the assessment of cerebrovascular reserve of very young and behaviourally challenged children with moyamoya.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.267
Teacher spread0.251 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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