A rare case of a intracardiac lipoma
Bibliographic record
Abstract
INTRODUCTION: Primary tumors of the heart are exceedingly rare, accounting for less than 5% of all cardiac tumors; the remaining 95% of tumors are metastatic tumors to the heart. The most common primary cardiac tumors in adults are myxomas (usually occurring in the left atrium) followed by papillary fibroelastomas and lipomas with rhabdomyoma the most common in children. PRESENTATION OF CASE: We are presenting a case of a 74-years-old female who initially presents with dizziness. No other associated symptoms reported and initial labs were in normal range. Echocardiogram was done as part of the dizziness/syncope work up which demonstrated a large right atrial mass. Due to the size of the mass and patient being symptomatic the mass was surgically resected with complete resolution of her symptoms and pathology consistent with a lipoma. DISCUSSION: Cardiac lipomas are benign and may be associated with a spectrum of symptoms which depends upon the size and location of the lipoma; although most cardiac lipomas are found incidentally and are asymptomatic. The best radiologic study to identify and help differentiate cardiac lipoma is echocardiogram. Cardiac computerized tomography (CCT) and cardiac magnetic resonance imaging (CMR) also place a role in differentiating cardiac lipomas from other cardiac tumors/lesions. CONCLUSION: Cardiac lipomas are benign primary tumors which have no defined age or sex distribution and present with a wide range of symptoms. Echocardiography is first line diagnosis method with CCT/CMR for better imaging before surgical intervention. Surgical resection of the symptomatic cardiac lipomas remains the mainstream treatment.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".