Large Mediastinal Mass in Pregnancy: Utility of Echocardiography and Cardiac MRI
Bibliographic record
Abstract
A 29-year-old woman at the 27th week of gestation was admitted to the hospital for dyspnea, chest pain radiating to the left shoulder and fatigue. An echocardiogram showed the presence of a pericardial effusion and an inhomogeneously echogenic mass, before the right ventricle, in the mediastinum, that modified the geometry of the right ventricle without impairing its filling. A cardiac MRI, subsequently performed, better defined the mass dimension and its contiguity relationship; moreover, it confirmed the suspicion of a lymphoproliferative disease. A mediastinal biopsy showed an infiltrating non-Hodgkin’s lymphoma at B big cells. After waiting until the 30th week of gestation, we proceeded to caesarean delivery, excellently succeeded, and contemporaneously to mass excision. Echocardiography was able to identify the presence of the mediastinal mass and to monitor its consequences on cardiac haemodynamic. Cardiac magnetic resonance was performed safely after the third trimester without producing apparent problems in the newborn. It helped in giving information on the mass dimension and its contiguity relationship but didn’t characterize the mass. doi:10.4021/jmc92w
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".