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Record W2055811234 · doi:10.1117/12.465232

<title>Fluorescence spectroscopic analysis (FSA) detects quantitative changes in atherosclerotic plaque collagen and elastin content <emph type="1">In Vivo</emph></title>

2002· article· en· W2055811234 on OpenAlexafffund
Alexander Christov, Erbin Dai, Liying Liu, Haiyan Guan, Mark A. Bernards, Paul B. Cavers, David J. Susko, Alexandra Lucas

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2002
Typearticle
Languageen
FieldMedicine
TopicAortic aneurysm repair treatments
Canadian institutionsWestern University
FundersHeart and Stroke Foundation of Canada
KeywordsElastinIn vivoStentImplantConnective tissueAortaChemistryEx vivoBiomedical engineeringFluorescenceMaterials sciencePathologyMedicineBiologyInternal medicineSurgeryPhysicsOptics

Abstract

fetched live from OpenAlex

In order to assess the capacity for in vivo fluorescence spectroscopi8c analysis of arterial collagen and elastin, fluorescence emission intensity was recorded form rabbit aorta after angioplasty and stent implant, and correlated with extracted elastin and collagen content. FEI from saline treated rabbits after stent implant was higher between 485 and 500 nm than after anti-inflammatory treatment. FEI was significantly decreased after implantation of shorter stents at 476-500 nm. Multiple regression analysis demonstrated an excellent correlation between FEI and elastin and HPLC- measured collagen content at 486-500 nm and 476-480 nm respectively. Conclusions: FEI recorded in vivo form arterial intimal surface, can be successfully used for quantitative assessment of compositional changes in connective tissue. Stent implant can induce changes in intimal arterial structure at discrete sites distant from the stent implant site.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

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)0.0190.004

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 head0.247
Teacher spread0.223 · 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 designBench or experimental
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
Published2002
Admission routes2
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE→Same topicAortic aneurysm repair treatments→French-language works237,207→