Abstract 11515: Noninvasive Quantitation of Coronary Collateral Flow Capacity in Patients with Chronic Total Occlusion Treated with External Counter Pulsation: Dobutamine Compared with Vasodilator Stress Pet Identifies Collaterogenesis
Bibliographic record
Abstract
Introduction: FDA approved external counterpulsation (ECP) improves coronary collateral flow index measured invasively, using intracoronary wedge pressure beyond a severe stenosis. However, there is presently no noninvasive method to measure coronary collateral flow capacity (CCFC), in patients with total coronary occlusion (CTO). Hypothesis: CCFC can be measured noninvasively by comparing the improvement in flow in the ischemic bed beyond CTO, using dobutamine stress (DBT), which supports supply side pressure, compared with vasodilator stress (DIP), which lowers supply side pressure, causing coronary steal. Methods: Seven patients with CTO were treated with 35 sessions of ECP, and studied with both DIP and DOB stress PET myocardial perfusion imaging. Coronary flow capacity (CFC), which integrates absolute rest and stress flow with coronary flow reserve on a per pixel basis, was measured objectively with FDA approved HeartSee software. Results: As shown in the Table, all patients demonstrated a decrease in the size of the ischemic zone at risk, defined as moderate or severely reduced CFC, when CFC with DIP was compared with DOB: 28% LV mass vs. 5%; p < 0.01. Five of 7 patients also demonstrated significant improvement in global CFC by Kolmogorov-Smirnoff analysis. Absolute stress flow into the ischemic zone improved significantly in all ECP treated patients during demand ischemia compared with vasodilator stress (1.9 vs. 1 ml/min/g; p < 0.01). One of the two patients who did not improve global CFC, despite ECP treatment, underwent coronary arteriography demonstrating a new flow limiting stenosis in the supply side vessel, which was successfully stented. Conclusion: ECP treatment is associated with improved coronary collateralization in patients with CTO, which can be identified noninvasively with quantitative PET myocardial perfusion imaging.
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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) | 0.001 | 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) | 0.002 | 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".