This surgical tutorial provides an exhaustive study of advanced hysterectomy techniques and their practical applications in clinical practice. The course uses stepwise video exhibitions to depict meticulous techniques for successful complex hysterectomies through laparoscopy, robotics, and vNOTES. This course stresses optimizing preoperative preparations, strengthening surgical skills, and enhancing postoperative patient management. The learning journey will help the practitioner develop proficiency in various minimally invasive surgical approaches, thus encouraging a dynamic shift from traditional practices toward innovative and patient-centric surgical methodologies.

Learning Objectives: After attending this session, the participant will be able to: 1) Outline the stepwise approach of laparoscopic hysterectomy in complex scenarios like endometriosis, fibroids, pelvic inflammatory disease, uterine malformations; 2) Apply tips and tricks for performing a robotic hysterectomy in challenging cases; and 3) Demonstrate enhanced knowledge and skills for Complex Hysterectomies through Transvaginal Natural Orifice Transluminal Endoscopic Surgery (vNOTES).

Presentations:
Welcome, Introduction and Course Overview

Mastering Laparoscopic Hysterectomy: A Comprehensive Guide to Navigating Complex Scenarios Including Endometriosis, Fibroids, Pelvic Inflammatory Disease, and Uterine Malformations
Hélder Ferreira, MD, PhD, MBA, Minimally Invasive Gynecological Surgery, Centro Hospitalar Universitario do Porto - University of Porto, Porto, Portugal

Mastering the Art of Robotic Hysterectomy: Advanced Techniques for Challenging Cases
Kathy Huang, MD, NYU Langone Medical Center, New York, NY

Revolutionizing Hysterectomy Procedures: Unleashing the Potential of Transvaginal Natural Orifice Transluminal Endoscopic Surgery (vNOTES) for Complex Cases
Xiaoming Guan, MD, PhD, Obstetrics and Gynecology, Minimally Invasive Gynecologic Surgery, Baylor College of Medicine, Houston, TX

Discussion - Questions & Answers - All Faculty

Adjourn