P5558Impact of coronary calcification at culprit lesion of STEMI: Optical coherence tomography study
Bibliographic record
Abstract
Introduction: Previous pathological and computed tomography studies have revealed that vulnerable plaques exhibit a high frequency of spotty calcification. Some studies have also indicated that spotty calcification relates to plaque rupture at the culprit site of acute coronary syndrome. However, the effect of coronary calcification on pathophysiology or clinical course of ST-elevation myocardial infraction (STEMI) has not yet been elucidated. Optical coherence tomography (OCT) provides tissue images of coronary artery wall and morphological features of coronary calcification. Purpose: The purpose of this study was to investigate whether coronary calcification has some impact on culprit lesion morphology and clinical course of STEMI. Methods: We enrolled 189 consecutive patients with STEMI who received emergency coronary reperfusion therapy and OCT study after thrombectomy. Culprit lesion morphologies were assessed by OCT. Morphological feature of coronary calcification was assessed as maximum thickness, maximum area, maximum angle, and minimum depth from the lumen in axial sections and longitudinal length. We also measured peak level of creatine phosphokinase (CPK), incidence of slow flow phenomenon and target lesion revascularization (TLR).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".