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Abstract 4362546: Non-Contrast Coronary Artery Imaging with a Novel High Frequency Optical Coherence Tomography

2025· article· en· W4415799419 on OpenAlexaboutno aff
Shiro Uemura, Teruyoshi Kume, Satoshi Koto, Takeshi Nishi, Giovanni J. Ughi, Yoji Neishi

Bibliographic record

VenueCirculation · 2025
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsOptical coherence tomographyInterquartile rangeCoronary artery diseaseContrast mediumIsotonicProspective cohort studyMedical imaging

Abstract

fetched live from OpenAlex

Background: Intracoronary optical coherence tomography (OCT) is widely utilized for high-resolution imaging of coronary arteries, but it requiring contrast agents to displace blood from the imaging field. Accordingly, concerns have arose regarding the potential adverse effects of an additional use of contrast medium particularly in patients with renal dysfunction and heart failure, which may limit the widespread use of OCT. Research Qustions: This study evaluates the feasibility and safety of isotonic electrolyte solution, lactated Ringer’s solution (LRS), as a flushing medium for a novel fast-pullback, high-frequency optical coherence tomography imaging system (HF-OCT, Gentuity, Sudbury, MA). Methods: This prospective study enrolled 21 patients with stable coronary artery disease (CAD), and 52 pairs of OCT imaging were evaluated. HF-OCT imaging was sequentially performed using either a contrast agent (iohexol 350, group C) or LRS (group LRS) as the flushing medium. To evaluate the efficacy of blood clearance, clear imaging length (CIL) index was used, which was defined as the segment with a visible lumen-to-vessel wall boundary over at least 270 degrees. Quantitative and qualitative OCT image analyses were also compared between the two groups. Results: The success rate of the first OCT imaging was 98.1% in group C, and 92.3% in group LRS. The injection volume used in each imaging was 5.0 +/- 0ml in group C and 18.9+/-1.5 ml in group LRS, respctively (p<0.05). CIL (mm) and CIL (%) were similar between the two groups (median 81.0 mm, interquartile range (IQR) 74.5-92.0 vs. median 79.2 mm, IQR 68.8-89.6, p=0.526 and median 100%, IQR 100-100 vs. median 100, IQR 99-100, respectively). Quantitative OCT parameters, i.e., minimum lumen area and diameter, were comparable between groups (median 2.75 smm, IQR 1.85-4.48, vs. 2.85 mms, IQR 2.03-4.58, p=0.654, and median 1.85 mm, IQR 1.53-2.40, vs. 1.90 mm, IQR 1.60-2.40, p=0.651, respectively). Qualitative OCT findings, such as presence of a lipid-rich plaque, thin-cap fibroatheroma, and macrophages, were equally visualized using both flushing media. No adverse events during imaging was observed in both groups. Conclusions: HF-OCT imaging using isotonic electrolyte solusion (LRS) as a flushing medium is safe and effective, while maintaining comparable lesion assessment to contrast-based OCT imaging. This technique may be beneficial for the OCT-guided PCI in wide-range of CAD patients including renal dysfunction.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0020.001

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 head0.011
GPT teacher head0.257
Teacher spread0.246 · 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 designNot applicable
Domainnot available
GenreMethods

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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