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Record W2258882682 · doi:10.1161/str.43.suppl_1.a2413

Abstract 2413: Postoperative Cerebral Hyperperfusion after Superficial Temporal Artery-Middle Cerebral Artery Anastomosis and Indirect Synangiosis in Moyamoya Disease: PET and SPECT Study

2012· article· en· W2258882682 on OpenAlexaff
Haruto Uchino, Satoshi Kuroda, Naoki Nakayama, Kiyohiro Houkin

Bibliographic record

VenueStroke · 2012
Typearticle
Languageen
FieldMedicine
TopicMoyamoya disease diagnosis and treatment
Canadian institutionsElectrovaya (Canada)
Fundersnot available
KeywordsMedicineMoyamoya diseaseCerebral blood flowAsymptomaticMiddle cerebral arteryAnastomosisSuperficial temporal arterySingle-photon emission computed tomographySurgeryRadiologyCardiologyInternal medicineIschemia

Abstract

fetched live from OpenAlex

Background Postoperative cerebral hyperperfusion is known to occur after superficial temporal artery to middle cerebral artery (STA-MCA) anastomosis and indirect synangiosis in moyamoya disease. However, the clinical features and pathophysiology still remain to be elucidated. Objective To clarify the incidence and pathogenesis of postoperative hyperperfusion after surgical revascularization for moyamoya disease. Methods This study included 41 consecutive patients (58 surgeries) who underwent STA-MCA anastomosis and indirect synangiosis for moyamoya disease. Their medical records were evaluated to identify clinical features of postoperative hyperperfusion. Using 15O-gas positron emission tomography (PET), cerebral hemodynamics and metabolism were determined before surgery in all patients. Using 123I-IMP single photon emission computed tomography (SPECT), cerebral blood flow was qualitatively measured on Day 0, 2, and 7 after surgery in all patients. A multivariate logistic regression analysis was conducted to identify the predictors for postoperative hyperperfusion. Results Postoperative hyperperfusion was observed in 29 (50.0%) of 58 operated sides. In pediatric patients, it was quite rare. Thus, symptomatic and asymptomatic hyperperfusion occurred in 1 (5%) and 3 (15%) of 20 sides, respectively. In adult cases, however, symptomatic and asymptomatic hyperperfusion were significantly more often (P=0.0037 and P=0.026, respectively) and were noted in 12 (31.5%) and 13 (34.2%) of 38 sides, respectively. A logistic regression analysis revealed that cerebral blood volume (CBV) increase before surgery was a significant predictors for symptomatic hyperperfusion in adults (P=0.036). Furthermore, hyperperfusion immediately after surgery was at significantly higher risk to be symptomatic (7/9=77.7%, P=0.033). Conclusions Postoperative hyperperfusion after STA-MCA anastomosis in adult moyamoya disease is not rare. Preoperative CBV increase was closely related to the occurrence of symptomatic hyperperfusion in adult cases. Hyperperfusion immediately after surgery may easily cause neurological deficits or other symptoms. Precise evaluation of cerebral hemodynamics and metabolism before and after surgery would be valuable to predict postoperative hyperperfusion and prevent perioperative complications.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.016
GPT teacher head0.248
Teacher spread0.231 · 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
Published2012
Admission routes1
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