A Rare Case of Cardiac Myxoma With Multiple Feeding Vessels From the Right Coronary Artery and the Left Circumflex Artery
Bibliographic record
Abstract
An 80-year-old woman with persistent atrial fibrillation was referred to our hospital for evaluation of a left atrial mass. Transthoracic and transesophageal echocardiography revealed a well-defined, sessile, and immobile mass attached to the interatrial septum. Computed tomography (CT) coronary angiography revealed a cardiac tumor fed by two vessels: one from the right coronary artery and one from the left circumflex artery. Based on these findings and cardiac magnetic resonance imaging, the mass was diagnosed as a left atrial myxoma, and excision was performed. Although some atrial myxomas are highly vascular, identification of multiple feeding vessels on CT coronary angiography is rare. Preoperative evaluation of feeding vessels is helpful in distinguishing myxomas from left atrial thrombi, especially in patients with hypercoagulability.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".