Cardiac leiomyomatosis misdiagnosed initially as submissive pulmonary embolism: a rare case report
Bibliographic record
Abstract
This case report presents a rare case of cardiac leiomyomatosis misdiagnosed initially as submassive pulmonary embolism in a 39-year-old woman. The patient presented with syncope and hypotension, leading to an initial diagnosis of submassive pulmonary embolism. However, further investigations revealed a right-sided heart mass on echocardiogram. Surgical intervention was carried out, and the patient's condition was successfully managed. This case emphasizes the importance of considering rare cardiac tumours in the differential diagnosis of pulmonary embolism. LEARNING POINTS: Given the rarity and diagnostic challenges associated with cardiac leiomyomatosis, it is important to raise awareness of this condition among healthcare professionals.Histopathological examination remains the gold standard for confirming the diagnosis of cardiac leiomyomatosis.Early recognition and accurate diagnosis are essential for timely intervention and optimal outcome.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".