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 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".