Abstract 18880: Inflammation Imaged With [18F]-FDG PET/CTA is Related to 3D Ultrasound Phenotypes of High-risk Carotid Plaque: Sub-study of the Canadian Atherosclerosis Imaging Network (CAIN-2)
Bibliographic record
Abstract
Background: Inflammation may contribute to plaque instability. [18F]-fluorodeoxyglucose (FDG) uptake imaged with positron emission tomography (PET) and computed tomography (CT) may serve as a biomarker of plaque inflammation. 3-dimensional ultrasound (U/S)-derived total plaque volume (TPV) and vessel wall volume (VWV) are measures of plaque volume and vessel wall thickness that are used for monitoring progression and regression of carotid atherosclerosis. Progression of TPV has been related to cardiovascular events. The volumetric phenotype (TPV and VWV) and extent of the inflammatory burden (FDG uptake) may independently predict carotid plaque vulnerability. However, the interrelationship between FDG uptake and measures of TPV and VWV remains poorly understood. Methods: Thirty-seven patients (67±9 years, 9 female) scheduled for carotid endarterectomy were prospectively recruited for 3D U/S and FDG PET/CT imaging of the left and right internal carotid arteries. Maximum FDG uptake normalized to blood (tissue to blood ratio - TBR) was measured for bilateral carotid plaque. Manual planimetry was used to measure bilateral TPV and VWV. Each 3-D image were evaluated from the bifurcation to the common carotid, and then to the internal and external carotid arteries. Results: Maximum FDG uptake correlated with TPV (r=0.42, p<0.001) and VWV (r=0.30, p=0.015) (Figure 1). FDG uptake was greater in plaque scheduled for endarterectomy (TBR=3.6±1.3 endarterectomy vs. 3.0±1.2 contralateral, p=0.049). There was also a trend for greater TPV at the side of endarterectomy: 799±390mm 3 endarterectomy vs. 672±150mm 3 contralateral (p=0.088). Conclusion: FDG uptake in high-risk carotid plaque is related to TPV and VWV. The inflammatory burden and the volumetric phenotype of plaque may synergistically provide a more robust evaluation of plaque vulnerability. Longitudinal follow-up for the assessment of plaque progression in this study cohort is currently underway.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".