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Record W2023960139 · doi:10.1115/sbc2012-80045

Flow in the Vascular System Post Stent Implantation: Examining the Near-Stent Flow Physics

2012· article· en· W2023960139 on OpenAlexaff
Chekema Prince, Mingyao Gu, Sean D. Peterson

Bibliographic record

VenueASME 2012 Summer Bioengineering Conference, Parts A and B · 2012
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsStentRestenosisHemodynamicsLumen (anatomy)Flow (mathematics)MechanicsNewtonian fluidMaterials scienceBiomedical engineeringPhysicsRadiologyMedicineCardiologyInternal medicine

Abstract

fetched live from OpenAlex

As a simplified stent model, fully-developed flow of an incompressible, Newtonian fluid through a curved tube with axially aligned wall protuberances is investigated to define the impact of stent implantation on hemodynamic behavior in curved vessels. According to previous research local hemodynamics tends to trigger biochemical pathways that result in the inception and progression of in-stent restenosis (ISR) and ultimately lead to stent failure. In this manuscript, we focus on hemodynamic changes due to stent strut protrusion into the vessel lumen as a facilitator of ISR. We investigate a range of physiologically relevant stent strut heights and flow parameters using computational fluid dynamics (CFD).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.271
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.044
GPT teacher head0.261
Teacher spread0.217 · 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 teacher head, 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

Citations0
Published2012
Admission routes1
Has abstractyes

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Same venueASME 2012 Summer Bioengineering Conference, Parts A and BSame topicCoronary Interventions and DiagnosticsFrench-language works237,207