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Record W2050167084 · doi:10.1161/strokeaha.111.000744

Cerebellar Atrophy in Childhood Arterial Ischemic Stroke

2013· article· en· W2050167084 on OpenAlexaff
Sarah M Mah, Gabrielle deVeber, Xing‐Chang Wei, Natalia A. Liapounova, Adam Kirton

Bibliographic record

VenueStroke · 2013
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsSickKids FoundationAlberta Children's Hospital
Fundersnot available
KeywordsMedicineStroke (engine)Ischemic strokeCardiologyAtrophyInternal medicineIschemia

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: Crossed cerebellar atrophy is uncommon in childhood arterial ischemic stroke. Acute corticospinal tract diffusion-weighted imaging (CST-DWI) changes occur in stroke of all ages. Contralateral CST-DWI is unexplained but approximates corticopontocerebellar pathways. We hypothesized that cerebellar atrophy can be quantified on clinical neuroimaging in childhood arterial ischemic stroke and is predicted by contralesional CST-DWI. METHODS: Consecutive children (>28 days-18 years) were included with the following features: (1) acute, unilateral, middle cerebral artery arterial ischemic stroke, (2) DWI <14 days from stroke onset, (3) anatomic T1 MRI >6 months, and (4) Pediatric Stroke Outcome Measure >12 months. Blinded scorers measured cerebellar volumes (left/right/hemisphere/vermis/total) using Osirix software. Cerebellar volumes ratios (nonstroke/stroke) were expressed as asymmetry indices (AI), with chronic/acute ratio <1.0 suggesting crossed atrophy. Acute brain stem and cerebellum (peduncle, hemisphere) DWI ratios were scored. Software measures were compared with visual inspection. Associations between AI, motor outcome (good/poor), and contralesional CST-DWI were sought. Rater reliabilities were assessed. RESULTS: Twenty-three children were studied (median age, 6.3±4.4 years; 62% male). Baseline cerebellar volumes were comparable (right=56.9 cm(3), left=57.1 cm(3)). Cerebellar atrophy was suggested across the sample with overall AI <1.0 (0.973±0.05; P=0.009). Visual atrophy detection was specific (≈100%) but insensitive (54%). Children with poor motor outcome did not have lower AI (0.983±0.027 versus 0.965±0.068; P=0.40); however, children with acute contralesional CST-DWI did (0.928±0.078 versus 986±0.040; P=0.03). Acute cerebellar DWI did not predict atrophy. Rater reliabilities were excellent (>0.92). CONCLUSIONS: Cerebellar atrophy can be demonstrated on MRI in childhood arterial ischemic stroke. Association with acute contralesional pontine DWI signal suggests early degeneration of corticopontocerebellar connections. The clinical significance of cerebellar atrophy in childhood stroke remains to be determined.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.006
GPT teacher head0.218
Teacher spread0.212 · 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

Citations29
Published2013
Admission routes1
Has abstractyes

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