P3C-7 Microvascular Imaging of Chronic Total Occlusions
Bibliographic record
Abstract
Chronic total occlusion (CTO) is a condition that occurs when an artery is completely occluded for > 1 month. The ability of ultrasound to detect microvasculature in CTOs is the focus of this study. The development of a superficial porcine femoral model of CTO by percutaneously placing a dissolvable polymer plug in the artery to promote thrombosis has provided a means by which to examine the formation and characteristics of these channels. The arteries, which are ~2-3 mm in diameter, accurately model thrombosis in CTO arteries. Studies have been performed on n = 8 porcine arteries. 3D power Doppler (PD) datasets from the arteries were acquired in vivo using a Vevo 770 system operating at 40 MHz at 1 week and 8 week timepoints. The scanning was performed transcutaneously through ~2 mm of skin to the artery. The formation of microvessels >100 mum in diameter were detected in vivo, as 6 of the 8 arteries self recanalized. At points where PD imaging suggested the presence of microvasculature, PW Doppler profiles were taken showing pulsatile flow rates of ~2 cm/s. The results were correlated with histology. The ability to detect microvessels in vivo with ultrasound suggests a potential method for real time guidance of CTO interventions
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".