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Laparoscopic Extracorporeal Knot-Tying for Uterine Vessel Occlusion during Hysterectomy with Cervical Cerclage in Large Uteri
Published on: September 12, 2025
Laparoscopic hysterectomies for large uteri
Kai-Yun Wu1, Srithean Lertvikool, Kuan-Gen Huang
1Department of Obstetrics and Gynecology, Chang Gung University College of Medicine, Kwei-Shan, Tao-Yuan, Taiwan.
Taiwanese Journal of Obstetrics & Gynecology
|January 4, 2012
Summary
Laparoscopic hysterectomies for large uteri are increasingly feasible. This systematic review examines evidence on safety and efficacy, suggesting improved outcomes with surgical advancements.
Area of Science:
- Minimally Invasive Surgery
- Gynecologic Surgery
- Surgical Oncology
Background:
- Laparoscopic hysterectomy offers benefits but has faced challenges with large uteri (>500g).
- Past reports indicated higher complication and conversion rates for large uteri.
- Surgical techniques and laparoscopic familiarity have advanced significantly.
Purpose of the Study:
- To systematically review the current evidence on laparoscopic hysterectomy for large uteri.
- To re-evaluate the safety and efficacy of this procedure in light of recent advancements.
- To address the existing controversy regarding laparoscopic hysterectomy in cases of significant uterine size.
Main Methods:
- Systematic literature review.
- Evidence synthesis of outcomes for laparoscopic hysterectomy in large uteri.
- Analysis of complication rates and conversion to laparotomy.
Main Results:
- Evidence suggests that laparoscopic hysterectomy for large uteri is becoming safer and more effective.
- Advancements in surgical techniques have likely reduced past complications and conversion rates.
- Further data analysis is needed to fully delineate outcomes across different studies.
Conclusions:
- Laparoscopic hysterectomy for large uteri is a viable and increasingly safe option.
- Improved surgical expertise and techniques mitigate previous concerns about complications.
- Continued research is warranted to confirm these findings and optimize patient selection.
