Safe and Novel Technique for Peritoneal Access in Urologic Laparoscopy without Prior Insufflation
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Access to the peritoneum for transperitoneal laparoscopic surgery can be achieved using a variety of techniques, each of which has advantages and disadvantages as well as risks of complications. The endoscopic threaded imaging port (EndoTIP) is a metal, reusable, threaded visual-access cannula that is inserted by rotational rather than axial force. When the technique was described initially, capnoperitoneum was obtained prior to trocar insertion. We describe the results of our series using the EndoTIP port without prior capnoperitoneum. PATIENTS AND METHODS: All 165 patients who underwent urologic transperitoneal laparoscopic procedures using the EndoTIP performed by a single surgeon from October 2001 through June 2005 were reviewed. Twentyfive patients were morbidly obese, and 32 had had previous abdominal surgical procedures. All data regarding patient demographics, details of the procedures, and outcomes were obtained from a database developed for prospective data collection at our institution. RESULTS: There were no complications associated with peritoneal access or trocar insertion. The average time required to obtain capnoperitoneum was <1 minute. CONCLUSIONS: Insertion of the EndoTIP port without prior capnoperitoneum is a safe, quick, and reliable method for peritoneal access in laparoscopic surgery. By avoiding blind punctures of the abdominal cavity, the risk of complications during access is minimized. We believe this technique should be considered in preference to techniques where trocars are inserted blindly.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".