title: Robot-assisted Surgery in Gynecologic Cancers.
abstract: Robotic-assisted surgery is a technological advancement that facilitates the application of minimally invasive techniques for complex operations in gynecologic oncology. The objective of this article was to review the literature regarding the role of robotic-assisted surgery to treat women with gynecologic cancers. The majority of publications on robotic surgery are still retrospective or descriptive in nature; however, the data for managing patients with a robotic-assisted approach show comparable, and at times improved, outcomes compared with both laparoscopy (2-dimensional) and laparotomy approaches. Robotic-assisted surgery has been used for patients with endometrial cancer and resulted in the increased use of minimally invasive surgery with improved outcomes compared with laparotomy and partially with laparoscopy. This has been shown in large cohorts of patients as well as in obese patients in whom the complication rates have significantly decreased. For early cervical cancer, robotic radical hysterectomy seems to be safe and feasible and to be preferable to laparotomy with seemingly comparable oncologic outcomes. Robotic-assisted surgery and conventional laparoscopy to stage women with early-stage ovarian cancer seem to have similar surgical and oncologic outcomes, with a shorter learning curve for robotic-assisted surgery. However, robotic-assisted surgery appears to be more expensive than laparotomy and traditional laparoscopy. In conclusion, robotic-assisted surgery appears to facilitate the surgical approach for complex operations to treat women with gynecologic cancers. Although randomized controlled trials are lacking to further elucidate the equivalence of robot-assisted surgery with conventional methods in terms of oncologic outcome and patients' quality of life, the technology appears to be safe and effective and could offer a minimally invasive approach to a much larger group of patients.
authors.affiliation: Gynecology Department, European Institute of Oncology, Milan, Italy. Electronic address: vanna.zanagnolo@ieo.it.
authors.forename: Vanna
authors.initials: V
authors.lastname: Zanagnolo
authors.affiliation: Gynecology Department, European Institute of Oncology, Milan, Italy.
authors.forename: Annalisa
authors.initials: A
authors.lastname: Garbi
authors.affiliation: Gynecology Department, European Institute of Oncology, Milan, Italy.
authors.forename: Maria Teresa
authors.initials: MT
authors.lastname: Achilarre
authors.affiliation: Gynecology Department, Instituto Valenciano de Oncología, Valencia, Spain.
authors.forename: Lucas
authors.initials: L
authors.lastname: Minig
mesh_terms: D003362:Cost-Benefit Analysis; D005260:Female; D005833:Genital Neoplasms, Female / Q000145:classification / Q000601:surgery; D013509:Gynecologic Surgical Procedures / Q000191:economics / Q000379:methods / Q000523:psychology; D006801:Humans; D059032:Learning Curve; D019060:Minimally Invasive Surgical Procedures / Q000379:methods; D065287:Robotic Surgical Procedures / Q000191:economics / Q000379:methods / Q000523:psychology; D016896:Treatment Outcome
keywords: Cervical cancer; Cost-effective analysis; Endometrial cancer; Gynecologic cancers; Learning curve; Minimally invasive surgery; Ovarian cancer; Robotic surgery