Retroperitoneal-Assisted Laparoscopic Pyeloplasty in Children: Initial Experience
Bibliographic record
Abstract
PURPOSE: To demonstrate a novel application of laparoscopy to assist in the correction of ureteropelvic junction (UPJ) obstruction. PATIENTS AND METHODS: A retroperitoneal space is created, and the UPJ is identified and dissected from the surrounding tissue with a 1 x 10-mm 0 degrees telescope and 2 x 5-mm endoscopic instruments. Using a 5-0 Prolene stay suture, the UPJ is brought up through the 10-mm trocar site to the skin level, and the pyeloplasty is performed ex vivo over a double-J stent with loop magnification. Between July 2002 and March 2003, nine male and two female patients with UPJ obstruction underwent a pyeloplasty using this retroperitoneal-assisted laparoscopic pyeloplasty (RALP). The operative time, hospital stay, pain management, and follow-up radiologic studies were reviewed. RESULTS: In nine patients, RALP (bilateral in one patient) was performed (nine on the left side and one on the right). In the remaining two patients, mobilization of the UPJ was inadequate, and open conversion was performed. The average RALP operative time was 160 minutes (range 121-193 minutes). Postoperative pain management was optimal using oral codeine in eight patients, while one patient (RALP and pyelolithotomy) received parenteral analgesic postoperatively. The average length of stay in the hospital was 2 days (range 1-3 days). Follow-up (5-14 months) radiologic studies after stent removal showed improvement in the hydronephrosis in all except one patient. Furosemide renal scan at 3 to 6 months postoperatively was done in all patients and showed no obstruction. CONCLUSION: We consider RALP as the technique of choice for surgeons who want to increase their reconstructive laparoscopic skills. It provides an additional technique when skilled laparoscopists are faced with technically difficult pyeloplasties.
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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 | 0.001 |
| 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 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".