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Record W4405097521 · doi:10.3171/2024.7.jns24321

The impact of cerebrovascular steno-occlusive disease subtype on surgical and clinical outcomes after direct STA-MCA bypass surgery

2024· article· en· W4405097521 on OpenAlexaboutno aff
Danielle Golub, Joshua D. McBriar, Shyle H. Mehta, Harshal A. Shah, Justin Turpin, Timothy G. White, Eric T. Quach, Andrew B. Koo, Christian Ferreira, Alexander F. Küffer, Thomas W. Link, Athos Patsalides, David J. Langer, Amir R. Dehdashti

Bibliographic record

VenueJournal of neurosurgery · 2024
Typearticle
Languageen
FieldMedicine
TopicMoyamoya disease diagnosis and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMoyamoya diseaseMiddle cerebral arterySuperficial temporal arteryPerioperativeStroke (engine)SurgeryBypass surgeryCohortRevascularizationPosterior cerebral arteryInternal medicineCardiologyArteryIschemia

Abstract

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OBJECTIVE: Although well-established in moyamoya disease (MMD), the role of direct superficial temporal artery (STA) to middle cerebral artery (MCA) bypass in non-MMD (N-MMD) cerebrovascular steno-occlusive syndromes remains controversial. Nonetheless, the recurrent stroke risk in patients with N-MMD, despite best medical management, remains exceedingly high-especially for those suffering from hypoperfusion-related ischemia. The study objective was to determine the relative safety and efficacy profiles of direct STA-MCA bypass surgery for MMD and N-MMD patients in a large contemporary cohort. METHODS: The authors conducted a retrospective review of all direct STA-MCA bypass cases performed between 2014 and 2023 at a high-volume center, which yielded 139 cases. Cases were excluded if they involved double-barrel bypass, an interposition graft, or if the surgical indication was not cerebral hypoperfusion. Direct bypass graft patency was serially assessed on follow-up vessel imaging. RESULTS: Of the 139 included cases, 88 (63.3%) were MMD and 51 (36.7%) were N-MMD cases. The mean patient age was 49.2 years and 60.4% were female. The mean follow-up duration was 18.5 months. The perioperative stroke risk within 30 days of revascularization was 6.5% for the overall cohort, with no significant difference (p = 0.725) observed between MMD (5.7%) and N-MMD (7.8%) cases. The overall postoperative ipsilateral hemispheric and MCA distribution stroke rates at last follow-up were 11.5% and 9.4%, respectively. Despite a greater medical comorbidity burden, N-MMD cases demonstrated comparable rates of direct bypass graft occlusion (21.6% N-MMD vs 28.4% MMD, p = 0.426), MCA-distribution ischemic stroke (11.8% N-MMD vs 7.9% MMD, p = 0.549), and ipsilateral ischemic stroke (15.7% N-MMD vs 9.1% MMD, p = 0.276) to patients with MMD at last follow-up. Higher preoperative total hemispheric flow on noninvasive optimal vessel analysis (NOVA) imaging was the only variable associated with prolonged direct bypass graft patency (hazard ratio [HR] 0.39, p = 0.036). Postoperative stroke-free survival was improved by performing dural synangiosis (HR 0.31, p = 0.033) and, in multivariate analysis, was reduced with direct bypass graft occlusion (HR 4.58, p = 0.009) and a preoperative diffusion-weighted imaging-Alberta Stroke Program Early CT Score (DWI-ASPECTS) < 8 (HR 3.90, p = 0.024). CONCLUSIONS: This robust cohort of MMD and N-MMD STA-MCA bypass cases highlights the safety and efficacy of a technically sound direct bypass across all subtypes of cerebrovascular steno-occlusive disease. Careful attention to preoperative MRI parameters, including hemispheric flow rates on NOVA imaging, may improve surgical risk stratification. Further examination of the benefits of adjunctive indirect bypass or dural synangiosis, especially for patients with N-MMD, remains warranted.

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)0.003
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.025
GPT teacher head0.346
Teacher spread0.321 · 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

Citations4
Published2024
Admission routes1
Has abstractyes

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