Management of ureteropelvic junction obstruction in horseshoe kidneys by an assortment of laparoscopic options
Bibliographic record
Abstract
INTRODUCTION: We report our experience with laparoscopic management of ureteropelvic junction obstruction in horseshoe kidneys. METHODS: Between February 2004 and March 2014, 15 patients with horseshoe kidneys and symptomatic ureteropelvic junction obstruction underwent laparoscopic management at our national referral centre. Depending on the anatomy and presence of obtrusive vessels or isthmus, we performed either dismembered, Scardino or Foley YV pyeloplasty, or Hellstrom vessel transposition. Patients were initially evaluated by ultrasonography, then diuretic scintiscan at 4 to 6 months, and followed by yearly clinical and sonographic exams. RESULTS: This study included 11 male and 4 female patients between the ages of 4 to 51 year (average 17.7). The left kidney was involved in 12 patients (80%). Operation time was 129 minutes (range: 90-186), and patients were discharged within 2.8 days (range: 1-6). Although 8 (53.3%) patients had crossing vessels, of which 6 required transposing, the Hellstrom technique was solely used in 3 cases, of which notably 1 case failed to resolve and required laparoscopic Hynes within the next year. Eight cases underwent dismembered pyeloplasty, 2 Foley YV, 1 Scardino flap and 1 required isthmectomy and vessel suspension. At the mean follow-up of 60 (range: 18-120) months, the overall success rate was 93.3%. CONCLUSIONS: To our knowledge, this represents the largest report on laparoscopic pyeloplasty for horseshoe kidneys, providing the longest follow-up. Our findings confirm prior reports supporting laparoscopy and furthermore show that despite the prevalence of crossing vessels, transposition alone is seldom sufficient.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".