Antegrade balloon occlusion of inferior vena cava during thrombectomy for renal cell carcinoma
Bibliographic record
Abstract
Nephrectomy with inferior vena cava (IVC) thrombectomy for advanced renal cell carcinoma (RCC) is a challenging and morbid surgical case. We describe the use of a simple endoluminal technique to occlude the suprahepatic IVC during thrombectomy. A 60-year-old male presented with a large right-sided RCC and IVC tumour thrombus. The tip of the thrombus, which was non-adherent to the caval wall, extended to the level of the hepatic veins. After complete dissection of the kidney, we obtained suprahepatic control of the IVC by a large compliant balloon, introduced through the right internal jugular vein and inflated just below the level of the diaphragm. The IVC thrombectomy was performed in a bloodless field. Mean blood pressure remained stable during IVC balloon inflation with a total occlusion time of 10 minutes. Intraprocedural completion cavogram and postoperative Doppler ultrasonography showed no residual IVC clot. Blood loss during the thrombectomy portion of the case was scant. The patient's postoperative course was uncomplicated and, at the last follow-up, he had stable metastatic disease on sunitinib therapy. For the surgical treatment of RCC with retrohepatic IVC tumour extension, transjugular balloon occlusion of the suprahepatic IVC offers an alternative to extensive hepatic mobilization to obtain suprahepatic thrombus control. Advantages over traditional surgical methods may include decreased surgical time, lower risk of liver injury and tumour embolism. We suggest this method for further evaluation.
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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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".