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Record W4416085714 · doi:10.1093/neuonc/noaf201.1149

IMG-70. Cerebrovascular disease in pediatric and adult patients with neurofibromatosis type 1: prevalence and characterization

2025· article· en· W4416085714 on OpenAlexaffabout
Emilie Everard, Sarah Lapointe, Sébastien Perreault, Moujahed Labidi, Ahmed Zaki El Haffaf, Philippe Major, Julien F. Paul, Franciska Otaner, Lucie Côté, Emma De Haan

Bibliographic record

VenueNeuro-Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicMoyamoya disease diagnosis and treatment
Canadian institutionsMcGill UniversityCentre Hospitalier de l’Université de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsEctasiaMoyamoya diseaseMagnetic resonance angiographyNeurofibromatosisStenosisMagnetic resonance imagingRetrospective cohort studyStroke (engine)Arterial dissection

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Neurofibromatosis type 1 (NF1) is an autosomal dominant disorder affecting approximately 1 in 3,000 individuals. It is caused by a pathogenic mutation in the NF1 gene. While NF1 primarily manifests with cutaneous and neurological symptoms, cerebrovascular involvement is observed in approximately 2,3-7,4% of adults and 2–5% of children. The most reported anomalies include moyamoya syndrome, arterial stenosis, aneurysms, and ectatic vessels. Although there is well-established association between exposure to radiotherapy and the development of moyamoya syndrome, vascular changes have also been observed in many NF1 patients without prior radiotherapy, suggesting an intrinsic pathogenic mechanism. METHOD We conducted a retrospective study of NF1 patients followed at two tertiary centers, CHU Sainte-Justine, a pediatric center and Centre Hospitalier de l’Université de Montréal (CHUM), the adult referral center. All patients had a confirmed diagnosis of NF1 based on NIH criteria. Data regarding age at diagnosis, type of cerebral malformations, presence of neurological symptoms, diagnostic imaging including magnetic resonance angiography (MRA) and time-of-flight (TOF) sequences, morbidity, and mortality were collected. RESULTS A total of 518 NF1 patients underwent brain MRI of whom 42,5% were pediatric and 57,5% were adults. 5,4% of MRIs revealed arterial vascular involvement (P=4,1%; A=6,4%). The vascular abnormalities identified included moyamoya syndrome (P=0,9%; A=1,0%), arterial stenosis (P=1,8%; A=0,6%), aneurysms (P=0,9%; A = 1,6%) and ischemic stroke sequelae (P = 0,9%; A=2,3%). Presence of neurological symptoms was described in 4,3% patients (P = 22,2%; A=10,5%), while in 85,5% cases (P = 77,8%; A = 89,5%), abnormalities were incidentally discovered on imaging. CONCLUSION Vascular abnormalities are a known complication in patients with NF1. However, systematic screening is not routinely performed although significant neurological complications can result from vascular anomalies. Further studies are needed to better understand if screening imaging is needed in the pediatric and adult population with NF1.

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)0.001
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.237
Teacher spread0.232 · 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 routes2
Has abstractyes

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