Correlation between Hyperintense Vessels on FLAIR Imaging and Arterial Circulation Time on Cerebral Angiography
Bibliographic record
Abstract
PURPOSE: Hyperintense vessels (HVs) on fluid-attenuated inversion recovery (FLAIR) imaging are associated with the leptomeningeal collateral circulation in cases of arterial occlusive lesions. Nevertheless, the relationship between HVs on FLAIR imaging and arterial circulation time (ACT) on cerebral angiography has not been defined. METHODS: We analyzed images of 11 patients with acute occlusion of the distal internal carotid artery or proximal middle cerebral artery and calculated the difference in ACT (DACT) between infarcted and normal hemispheres. ACT was defined as the time interval from the initial opacification of the ipsilateral or contralateral cavernous internal carotid artery to the late arterial phase of the carotid artery territories. We scored HVs on FLAIR imaging using a modified Alberta Stroke Program Early Computerized Tomography Score (ASPECTS) and determined collateral circulation by grading collateral flow. RESULTS: We detected HVs on FLAIR images in 10 patients (median score, 4; range, 0 to 6). Comparison of infarcted and normal hemispheres demonstrated absent or subtle HVs on FLAIR imaging when the DACT was too short (<one second) or too long (>7.98 s) and prominent HVs with moderate DACT (2 to 5 s). The score of HVs on FLAIR was estimated well by DACT using a quadratic regression model (R(2) = 0.602) and better than by grading collateral flow (R(2) = 0.256). CONCLUSION: In cases of large arterial occlusion, the hyperintensity of vessels on FLAIR images may be dependent on arterial circulation time via retrograde filling of the leptomeningeal collateral circulation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".