Involvement of the Femoropopliteal Arteries in Giant Cell Arteritis: Clinical and Color Duplex Sonography
Bibliographic record
Abstract
OBJECTIVE: To determine the extent and clinical significance of giant cell arteritis (GCA) of the femoropopliteal arteries. METHODS: This was a retrospective clinical color duplex sonography (CDS) study; 60 of 112 consecutive patients with the diagnosis of GCA underwent complete clinical examination of the lower extremities including the vasculature, systolic ankle pressure measurement, and CDS scans of the femoropopliteal arteries within 1 year after diagnosis of GCA. Circumferential, hypoechogenic, homogenous wall thickening was regarded as a hallmark of femoropopliteal GCA. RESULTS: GCA of femoropopliteal arteries was present in 32 (53.3%) of 60 patients. In general, femoropopliteal GCA developed bilaterally (100%) and 14 patients (23.3%) had significant lower extremity artery obstructions secondary to vasculitis, all leading to symptomatic lower extremity ischemia, with development of critical leg ischemia in 4 patients. Compared with subjects without lower extremity vasculitis, patients with femoropopliteal involvement had a significant time delay until diagnosis (mean 23.9 vs 11.1 weeks; p = 0.03) and a higher frequency of concomitant vasculitis of the arm arteries (74.2% vs 42.9%; p = 0.02). CONCLUSION: Femoropopliteal artery involvement appears to be a clinically relevant manifestation of GCA, frequently leading to symptomatic lower extremity ischemia. CDS of the femoropopliteal arteries is a noninvasive diagnostic tool for detection of lower extremity vasculitis in GCA.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 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".