Robot-Assisted Laparoscopic Prostatectomy in Patients with Preexisting Three-Piece Inflatable Penile Prosthesis
Bibliographic record
Abstract
INTRODUCTION: Robotic-assisted laparoscopic radical prostatectomy (RARP) is becoming the preferred surgical treatment option for management of organ-confined prostate cancer. Although not a contraindication, previous pelvic surgery can make RARP challenging. Presence of a three-piece inflatable penile prosthesis, with a perivesical pelvic reservoir, has the potential to induce steric hindrance making RARP difficult. AIM: The main purpose of this publication is to report our experience with RARP in patients with previously inserted three-piece inflatable penile prostheses. METHODS: Two patients with previously inserted AMS 700 penile prosthesis and with organ-confined, biopsy proven adenocarcinoma of the prostate underwent RARP. We describe intraoperative findings, surgical technique, oncologic and functional outcomes. RESULTS: Both patients underwent safe and successful RARP with out any complications. Surgical margins were not affected with pelvic reservoir-sparing technique. In both patients, the penile prosthesis remained functional postoperatively. CONCLUSIONS: RARP can be safely performed in patients with previously inserted three-piece inflatable penile prosthesis. Nontraumatic handling of the pelvic reservoir is mandatory to preserve prosthesis' integrity.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".