Hand-assisted laparoscopic ureteroureterostomy with renal mobilization for delayed recognition of a proximal ureteral injury after lumbar disk surgery
Bibliographic record
Abstract
We present hand-assisted laparoscopic ureteroureterostomy (HALUU) with renal mobilization as a novel approach to the management of proximal ureteral injury after lumbar disk surgery. A 63-year-old female underwent L4-L5 diskectomy and facetectomy with cage placement for back and leg pain. Postoperatively, she developed fever, nausea, abdominal pain, ileus and leukocytosis. A computed tomography scan of the abdomen and pelvis with intravenous contrast and delayed imaging demonstrated a left proximal ureteral injury with contrast extravasation. Retrograde and antegrade ureteral stent placement was unsuccessful; a nephrostomy tube was placed. Antegrade and retrograde ureterograms revealed a 3-cm proximal ureteral defect. All treatment options were discussed, and the patient chose to undergo hand-assisted laparoscopic renal mobilization with ureteroureterostomy, which was completed successfully without complications. Operative time was 381 minutes; estimated blood loss was 50 mL. The patient was discharged after 2 days, her ureteral stent was removed in 8 weeks, and follow-up with furosemide-mercaptoacetyltriglycine (MAG-3) renal scan demonstrated 30% function without evidence of obstruction. Hand-assisted laparoscopic ureteroureterostomy with renal mobilization can be performed as definitive management of a medium-length proximal ureteral injury. This is the first case describing this management technique after lumbar disk surgery.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".