Carotid Plaque Inflammation Imaged by <sup>18</sup> F-Fluorodeoxyglucose Positron Emission Tomography and Risk of Early Recurrent Stroke
Bibliographic record
Abstract
Background and Purpose— Plaque inflammation contributes to stroke and coronary events. 18 F-fluorodeoxyglucose (FDG) positron emission tomography (PET) identifies plaque inflammation-related metabolism. Almost no prospective data exist on the relationship of carotid 18 F-FDG uptake and early recurrent stroke. Methods— We did a multicenter prospective cohort study BIOVASC (Biomarkers/Imaging Vulnerable Atherosclerosis in Symptomatic Carotid disease) of patients with carotid stenosis and recent stroke/transient ischemic attack with 90-day follow-up. On coregistered carotid 18 F-FDG PET/computed tomography angiography, 18 F-FDG uptake was expressed as maximum standardized uptake value (SUV max ) in the axial single hottest slice. We then conducted a systematic review of similar studies and pooled unpublished individual-patient data with 2 highly similar independent studies (Dublin and Barcelona). We analyzed the association of SUV max with all recurrent nonprocedural stroke (before and after PET) and with recurrent stroke after PET only. Results— In BIOVASC (n=109, 14 recurrent strokes), after adjustment (for age, sex, stenosis severity, antiplatelets, statins, diabetes mellitus, hypertension, and smoking), the hazard ratio for recurrent stroke per 1 g/mL SUV max was 2.2 (CI, 1.1–4.5; P =0.025). Findings were consistent in the independent Dublin (n=52, hazard ratio, 2.2; CI, 1.1–4.3) and Barcelona studies (n=35, hazard ratio, 2.8; CI, 0.98–5.5). In the pooled cohort (n=196), 37 recurrent strokes occurred (29 before and 8 after PET). Plaque SUV max was higher in patients with all recurrence ( P <0.0001) and post-PET recurrence ( P =0.009). The fully adjusted hazard ratio of any recurrent stroke was 2.19 (CI, 1.41–3.39; P <0.001) and for post-PET recurrent stroke was 4.57 (CI, 1.5–13.96; P =0.008). Recurrent stroke risk increased across SUV max quartiles (log-rank P =0.003). The area under receiver operating curve for all recurrence was 0.70 (CI, 0.59–0.78) and for post-PET recurrence was 0.80 (CI, 0.64–0.96). Conclusions— Plaque inflammation-related 18 F-FDG uptake independently predicted future recurrent stroke post-PET. Although further studies are needed, 18 F-FDG PET may improve patient selection for carotid revascularization and suggest that anti-inflammatory agents may have benefit for poststroke vascular prevention.
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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".