Imaging of ischemia and infarction in blood‐perfused pig hearts using <sup>87</sup>Rb MRI
Bibliographic record
Abstract
87Rb-MRI was used to measure Rb(+) uptake in blood-perfused pig hearts during complete occlusion (120 and 70 min) of the left anterior descending artery (LAD) and subsequent reperfusion (120 and 170 min). The Rb(+) uptake rate and maximal Rb image intensity during 120-min occlusion were significantly lower in the ischemic anterior left ventricular (LV) wall (0.35 +/- 0.14%/min and 26 +/- 4.7%) relative to those in the remote posterior LV wall (2.43 +/- 0.33%/min and 98 +/- 10%). Reperfusion after 120 and 70 min of occlusion resulted in formation of damaged areas, which had 40 +/- 4 and 73 +/- 10% of the (87)Rb image intensity observed in the remote posterior wall. The infarct sizes determined histologically by triphenyltetrazolium chloride staining were 9.6 +/- 3.4 and 5.6 +/- 4.6% of the total ventricular mass (LV + RV) in the 120- and 70-min occlusion groups, respectively. The sizes determined by MRI were 13.1 +/- 2 and 2.8 +/- 4.3% of the total number of pixels, respectively. The Rb(+) uptake in the anterior wall during 120-min occlusion was somewhat lower than that previously observed in crystalloid-perfused hearts. It is concluded that blood does not interfere with the ability of (87)Rb MRI to detect ischemic and infarct areas.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".