Incidental Finding of Right Atrial Mass in a Patient With Hodgkin Lymphoma: Utilization of Multimodal Cardiac Imaging in Diagnosis
Bibliographic record
Abstract
Right atrial masses can be found incidentally on imaging studies, which could represent cardiac or non-cardiac tumors, vegetations, or thrombi. Catheter-related right atrial thrombosis is an uncommon and underdiagnosed condition, but has been associated with significant mortality risk. Herein, we present a case of a 56-year-old man with Hodgkin lymphoma who was found to have a right atrial mass on routine transthoracic echocardiogram. The diagnosis of right atrial thrombus was made by using transesophageal echocardiogram and cardiac magnetic resonance imaging. He was managed with intravenous heparin and was being evaluated for possible thrombectomy when he died from complications of septic shock.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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".