Percutaneous vacuum-assisted tumor thrombectomy using angiovac and penumbra lightning 12 aspiration systems
Bibliographic record
Abstract
A 19-year-old female presented with a 2-month history of abdominal discomfort and palpable abdominal mass; a computer tomography scan revealed a large retroperitoneal mass as well as high suspicion of thrombus in her inferior vena cava. Right kidney core biopsy showed diagnostic features of synovial sarcoma. While awaiting workup for her mass she was placed on anticoagulants. However, she re-presented to hospital 3 weeks later complaining of 3 days of shortness of breath. A repeat computer tomography scan revealed extensive thrombus burden with tumor thrombus involving the inferior vena cava, a large right atrial intracardiac thrombus, multiple segmental right pulmonary emboli, and a large embolus causing total occlusion of the left main pulmonary artery with findings suggestive of associated lung infarction. The patient's disease was not amenable to surgical resection and thrombolytic therapy was contraindicated due to associated intratumor hemorrhage, thus prompting consideration of thrombectomy under emergency approval from Health Canada. The patient underwent an overall successful total aspiration thrombectomy of the intracardiac tumor thrombus with subsequent resolution of her right heart strain, using the extracorporeal AngioVac aspiration system and partial aspiration of the extensive pulmonary emboli using the Penumbra Indigo Lightning 12 system. She was transferred to the intensive care unit and extubated 2 days later and was discharged from hospital shortly after without supplemental oxygen.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".