Imaging atherosclerosis with positron emission tomography
Bibliographic record
Abstract
Positron emission tomography (PET) provides a non-invasive method to measure biological processes that are relevant to atherosclerosis, including arterial inflammation and calcification. The vast majority of studies imaging atherosclerosis with PET have utilized the tracer 18 F-fluorodeoxyglucose (FDG) to better understand how inflammation contributes to atherosclerosis development, and to test the efficacy of therapeutic interventions aimed at reducing its progression. Additional tracers such as 18 F-sodium fluoride ( 18 F-NaF) provide additional avenues for characterizing atherosclerosis development. This review examines the emerging uses of PET arterial imaging as a marker of vascular inflammation and atherosclerosis, as a prognostic tool, and as a clinical research tool. In addition, we examine emerging methods that should advance arterial imaging with PET.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".