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Record W4407578981 · doi:10.3174/ajnr.a8702

Imaging Patterns of Neonatal Subpial Hemorrhage: Provisional Statements on Neurologic Outcomes

2025· article· en· W4407578981 on OpenAlexaboutno aff
Santiago Martínez-Correa, Patrícia Piazza Rafful, Karen I. Ramirez‐Suarez, Angela N. Viaene, Lauren A. Beslow, Sonika Agarwal, Matthew T. Whitehead, Arastoo Vossough, Sara Reis Teixeira

Bibliographic record

VenueAmerican Journal of Neuroradiology · 2025
Typearticle
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNeuroscienceAnatomy

Abstract

fetched live from OpenAlex

ABSTRACT BACKGROUND AND PURPOSE: Subpial hemorrhage is an underrecognized type of hemorrhagic stroke primarily affecting neonates. Blood accumulation in the impermeable pia mater compresses the adjacent cortex, leading to injury. The consequences of this stroke type remain poorly understood. The study aims to evaluate the association between imaging findings and neurological outcomes at follow-up in neonates with subpial hemorrhage. MATERIALS AND METHODS: We retrospectively included neonates with suspected subpial hemorrhage who underwent brain MRI between January 2012 and February 2024. Two pediatric neuroradiologists evaluated MRIs for subpial hemorrhage location, size, and pattern using a previously described system that classified subpial hemorrhage only (Pattern A), subpial hemorrhage with cortical injury (Pattern B), and subpial hemorrhage with cortical injury and intraparenchymal hemorrhage (Pattern C). They also assessed for medullary vein engorgement/thrombosis. We extracted demographic data, perinatal events, hospital outcomes, and Alberta Infant Motor Scale (AIMS) scores, when available. Descriptive analysis was used for demographic, clinical, and imaging findings. Fisher9s exact test evaluated associations between clinical outcomes and imaging findings. RESULTS: Twenty-nine patients (median gestational age 38 weeks, IQR: 37-39) were included, with 82% having birthweights >2500g. Subpial hemorrhages were most commonly on the right side (66%) and in the temporal lobe (62%). Most hemorrhages measured 1-4 cm (59%). Pattern C (15/29, 52%) was associated with delayed motor development as assessed by AIMS (9/15, 60%) (p=.042), while Pattern B (10/29, 35%) was associated with near-normal motor development (6/15, 40%) (p=.044). There was no statistically significant association between concurrent superficial and deep medullary vein engorgement/thrombosis and the presence of any neurological deficit (p=.055). CONCLUSIONS: The association between subpial hemorrhage patterns and neurological outcomes, particularly motor development, may have important prognostic and management implications. In our cohort, a pattern C of subpial hemorrhage was significantly associated with delayed motor development. Concurrent involvement of superficial and deep medullary vessels may indicate a higher risk of poor neurological outcomes. These findings highlight the importance of early intervention and monitoring in neonates presenting with subpial hemorrhage. ABBREVIATIONS: AIMS= Alberta Infant Motor Scale; IQR= Interquartile Ranges; NICU= Neonatal Intensive Care Unit; SD= Standard Deviations.

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)0.007
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.315
Teacher spread0.305 · 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
Published2025
Admission routes1
Has abstractyes

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