Cardiac Phase-Resolved Blood Oxygen-Sensitive Steady-State Free Precession MRI for Evaluating the Functional Significance of Coronary Artery Stenosis
Bibliographic record
Abstract
OBJECTIVE: This study investigates whether cardiac phase-resolved steady-state free precession (SSFP) magnetic resonance imaging can be used to detect regional myocardial oxygen deficits (MODs) and other functional changes (wall motion and ejection fraction) caused by coronary artery stenosis in a canine model. MATERIALS AND METHODS: Subsequent to changing the degree of stenosis of the left circumflex arteries of 8 dogs, cardiac phase-resolved SSFP images were acquired at baseline, prestensois (with adenosine), and at different stenosis levels and were correlated against true flow changes. Wall motion and ejection fraction changes also were assessed under the different stenosis levels. RESULTS: MODs caused by coronary stenosis were observed with the SSFP-based technique and were strongly correlated with microsphere-based regional flow measurements (r=0.80, P<0.01). From the phase-resolved SSFP images, statistically significant (P < 0.01) changes in wall motion and ejection fraction were also observed at severe stenosis. CONCLUSION: The SSFP method can simultaneously detect MODs, wall motion changes, and left ventricular dysfunction caused by coronary artery stenosis within a single scan in a controlled canine model.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".