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Record W4406389502 · doi:10.1016/j.jvscit.2025.101736

Abdominal aortic aneurysm classification based on dynamic intraluminal thrombus analysis during cardiac cycle

2025· article· en· W4406389502 on OpenAlexafffundabout
Arianna Forneris, Alessandro Satriano, Randy D. Moore, Elena S. Di Martino

Bibliographic record

VenueJournal of Vascular Surgery Cases and Innovative Techniques · 2025
Typearticle
Languageen
FieldMedicine
TopicAortic aneurysm repair treatments
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMedicineAbdominal aortic aneurysmThrombusCardiac cycleCardiologyAneurysmAortic aneurysmRadiologyInternal medicine

Abstract

fetched live from OpenAlex

The major complication of abdominal aortic aneurysm (AAA) is sudden rupture with an associated high mortality rate. The only clinical classifier for the risk of AAA rupture is the size of the aneurysm or its maximum diameter. We reviewed the role of intraluminal thrombus (ILT) by investigating the motion of both the lumen and wall surfaces of ILT throughout the cardiac cycle. We hypothesize that the response of the thrombus to the cyclic blood pressure provides insight into the state of the thrombus and its propensity to rupture, akin to what could be obtained from a mechanical compression test. Patients were selected from two studies: patients who underwent surgical intervention and patients from a retrospective study of AAA growth. Patients were selected to provide a wide range of AAA behaviors leading to a disease progression. Multiphase computed tomographic images of 14 patients were obtained from Peter Lougheed Hospital in Calgary, Canada. The geometries of the aortic wall and lumen were segmented from the images, and thrombus volume was determined at ten evenly spaced phases of the cardiac cycle. Where possible, the results were matched to known ex vivo mechanical properties, growth, and clinical outcomes for each AAA. The relative changes of wall, lumen, and thrombus volumes throughout the cardiac cycle classified AAAs into four types: (1) type I, aneurysms with a minimal wall movement, negative lumen expansion, and positive ILT expansion, (2) type II, aneurysms whose lumen undergoes small expansion, while the expansion is accommodated by the ILT and wall, (3) type III, a transition type characterized by lumen, wall, and thrombus expansions, and (4) type IV, characterized by lumen expansion matching or exceeding wall expansion, while the thrombus exhibits very small or negative deformation. This last behavior leads to an over-pressurized thrombus, which could enable the formation of permeable channels, often observable in medical images obtained in patients experiencing aneurysm rupture. By providing insight into thrombus behavior and the likelihood of channel development in the thrombus, AAA classification can improve the assessment of clinical risk for aneurysms: type I is associated with a stiff aneurysm wall that resists thrombus deformation and may be related to the risk of dissection, type II and type III are transition types, and type IV is associated with the formation of permeable channels and thrombus cracks which may indicate possible risk of rupture.

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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.003

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 communication0.0010.000
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 head0.013
GPT teacher head0.298
Teacher spread0.285 · 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 designCase report
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
Published2025
Admission routes3
Has abstractyes

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