Abstract 14382: Association of Atherosclerotic Plaque Burden and FFR <sub>CT-</sub> Serial Cardiac CTA Study
Bibliographic record
Abstract
Introduction: Cross-sectional studies have shown the association of atherosclerotic plaque burden and FFR CT . However, the relationship between changes in anatomic CCTA parameters and FFR CT has not been evaluated. In the present study, we sought to study the natural history of FFR CT and to observe the impact of coronary plaque characteristics on intracoronary hemodynamics over time as assessed by noninvasive CCTA. Methods: Patients who had undergone baseline and follow-up CCTA were included. Coronary plaque scores and vessel stenosis severity were quantified on CCTA. Multivariate linear regression was used to examine the association of change in the per vessel FFR CT , average distal FFR CT, and the most diseased vessel FFR CT with total plaque score(TPS), coronary artery calcium(CAC), total segment stenosis (TSS), segment involvement score (SIS). Results: Final analysis included 101 subjects (83% male; age 65.5 ± 10.1 years). After adjusting for several cardiovascular risk factors, on a per-vessel basis involving the most significant lesion, a 1 unit increase in TPS resulted on average in a 0.008 decrease in FFR in the most diseased vessel, p=0.004, after adjusting for several risk factors. Using the average FFR CT of the distal LAD, RCA, and LCX, a 1 unit increase in TPS results on average in a 0.004 decrease in the distal average FFR, p=0.026. A 1 unit increase in TPS results on average in 0.005 decrease in the RCA distal pins of FFR, p=0.033 (Table 1). There are no significant associations of the LCX and LAD FFR with TPS. There are no significant associations of the change in FFR CT with TSS, SIS or CAC progression. Conclusion: Worsening atherosclerotic plaque burden is associated with worsening physiology as assessed on CCTA as assessed by FFR CT . Therapies that stabilize or regress plaque may improve overall physiology. Further prospective trials are required to validate these findings.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".