Utility of Cardiac CT and MRI for the Diagnosis and Preoperative Assessment of Cardiac Paraganglioma
Bibliographic record
Abstract
BACKGROUND: Cardiac paragangliomas are rare cardiac tumors that are usually benign. Surgical excision can be curative. METHODS: We report a case of 39-year-old male who, during the work up of acute coronary syndrome with coronary angiography, cardiac computed tomography (CT) and magnetic resonance imaging (MRI), was found to have cardiac paraganglioma. RESULTS: The tumor was intrapericardial, arising at the level of proximal left anterior descending artery. The tumor was completely resected and the postoperative course was uneventful. At 3-months follow-up the patient was asymptomatic with normal ventricular function. CONCLUSION: Cardiac CT and MRI are valuable in characterizing and preoperative planning of primary cardiac paragangliomas.
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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) | 0.002 | 0.001 |
| 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 | 0.000 | 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".