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Fenestrations of the Aortic Valve Cusps: An Anatomical Explanation?

2012· article· en· W1453448385 on OpenAlexaff
Katie L. Losenno, Marjorie Johnson, Michael Chu

Bibliographic record

VenueThe FASEB Journal · 2012
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsWestern University
Fundersnot available
KeywordsCusp (singularity)Aortic sinusAortic valveCoronary arteriesCardiologyMedicineAnatomyCoronary sinusInternal medicineArteryGeometry

Abstract

fetched live from OpenAlex

Fenestrations of the aortic cusps are a common finding in older adults. In most cases, they are benign although there are reports of spontaneous rupture and acute onset of aortic insufficiency. The process of fenestration development is poorly understood however, it is possible that variation in cuspal anatomy may be an important factor. The aortic valves from 40 adult cadaveric specimens were harvested and examined for fenestrations. The cuspal height, free margin length, and attached margin length were measured and leaflet perimeter and area were calculated. 37.5% of all specimens were found to have aortic valves with at least one fenestrated cusp. Of those with fenestrations, 73.3% were in the left coronary cusp, 53.3% were in the right coronary cusp and 33.3% were in the non‐coronary cusp. Preliminary data suggests that cusps with a smaller perimeter are more prone to fenestrations. Previous studies have suggested that the, often larger, non‐coronary sinus and cusp are subject to greater stresses during the cardiac cycle which in turn leads to increased collagen deposition within the cusp. Although counterintuitive to the increased stresses, the non‐coronary aortic cusps in this series had less fenestrations, perhaps suggesting that increased stresses may actually prevent fenestration development. The initial findings warrant further investigation with a larger sample size and further statistical analysis. Grant Funding Source : Queen Elizabeth II Graduate Scholarship in Science and Technology

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)0.002
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 score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.004
Scholarly communication0.0010.003
Open science0.0020.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.024
GPT teacher head0.345
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

Citations1
Published2012
Admission routes1
Has abstractyes

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