[Robotic surgery in gynecology].
Minimally invasive surgery has revolutionized gynecological interventions over the past 30 years. The introduction of the da Vinci robotic surgery in 2005 has resulted in large changes in surgical management. The robotic platform allows less experienced laparoscopic surgeons to perform more complex procedures. It can be utilized mainly in general gynecology and reproductive gynecology. The robot is being increasingly used for procedures such as hysterectomy, myomectomy, adnexal surgery, and tubal anastomosis. In urogynecology, the robot is being utilized for sacrocolopexy as well. In the field of gynecologic oncology, the robot is being increasingly used for hysterectomy and lymphadenectomy in oncologic diseases. Despite the rapid and widespread adaption of robotic surgery in gynecology, there are no randomized trials comparing its efficacy and safety to other traditional surgical approaches. This article presents the development, technical aspects and indications of robotic surgery in gynecology, based on the previously published reviews. Robotic surgery can be highly advantageous with the right amount of training, along with appropriate patient selection. Patients will have less blood loss, less post-operative pain, faster recovery, and fewer complications compared to open surgery and laparoscopy. However, until larger randomized control trials are completed which report long-term outcomes, robotic surgery cannot be stated to have priority over other surgical methods.
Debreceni Egyetem, Általános Orvostudományi Kar, Orvos- és Egészségtudományi Központ Szülészeti és Nőgyógyászati Klinika Debrecen Nagyerdei krt. 98. 4032. drcsorbaroland@gmail.com
Roland
R
Csorba
D005260:Female; D005831:Genital Diseases, Female / Q000601:surgery*; D005833:Genital Neoplasms, Female / Q000601:surgery; D013509:Gynecologic Surgical Procedures / Q000295:instrumentation*; D006801:Humans; D007044:Hysterectomy / Q000295:instrumentation; D010535:Laparoscopy / Q000295:instrumentation*; D008197:Lymph Node Excision / Q000295:instrumentation; D018579:Patient Selection; D012371:Robotics