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Laparoscopic Extracorporeal Knot-Tying for Uterine Vessel Occlusion during Hysterectomy with Cervical Cerclage in Large Uteri

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Robotically assisted hysterectomy: 100 cases after the learning curve.

Thomas N Payne^1,2, Francis R Dauterive³

¹Department of Obstetrics and Gynecology, Ochsner Clinic Foundation, Baton Rouge, LA, USA. tnpayne@hotmail.com.

Journal of Robotic Surgery

|September 18, 2016

Summary

This summary is machine-generated.

Robotic hysterectomy after the learning curve shows improved operative times and high safety. This minimally invasive approach offers potential advantages for a wide range of patients.

Keywords:

Benign hysterectomy Learning curve Robotic-assisted laparoscopic hysterectomy da Vinci Surgical System

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Area of Science:

Minimally Invasive Surgery
Gynecologic Oncology
Robotic Surgery

Background:

Robotic-assisted surgery is increasingly adopted in gynecology.
Assessing outcomes after the initial learning curve is crucial for widespread implementation.

Purpose of the Study:

To evaluate perioperative outcomes of robotic hysterectomy after surgeons completed their learning curve.
To assess the safety and efficiency of robotic hysterectomy in a consecutive patient cohort.

Main Methods:

Retrospective review of 100 consecutive robotic hysterectomies performed by two surgeons.
Data collected included operative time, patient demographics, indications for surgery, blood loss, and length of stay.

Main Results:

Average operative time was 79.3 minutes.
No conversions to open surgery or blood transfusions were required.
One intraoperative cystotomy occurred and was repaired; no postoperative complications were reported.
Average length of stay was 1.1 days.

Conclusions:

Robotic hysterectomy, post-learning curve, demonstrates efficient operative times and a high safety profile.
The procedure is feasible and safe for a diverse patient population with common gynecologic indications.
Robotic platform offers potential advantages in gynecologic surgery.