We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Efficacy and prognosis of robotic surgery with sentinel node navigation surgery in endometrial cancer.
- Authors
Shinichi Togami; Mika Fukuda; Mika Mizuno; Shintaro Yanazume; Hiroaki Kobayashi
- Abstract
Objective: This study aimed to validate the surgical and oncologic outcomes of robotic surgery with sentinel node navigation surgery (SNNS) in endometrial cancer. Methods: This study included 130 patients with endometrial cancer, who underwent robotic surgery, including hysterectomy, bilateral salpingo-oophorectomy, and pelvic SNNS at the Department of Obstetrics and Gynecology of Kagoshima University Hospital. Pelvic sentinel lymph nodes (SLNs) were identified using the uterine cervix 99m Technetium-labeled phytate and indocyanine green injections. Surgery-related and survival outcomes were also evaluated. Results: The median operative and console times and volume of blood loss were 204 (range: 101-555) minutes, 152 (range: 70-453) minutes, and 20 (range: 2-620) mL, respectively. The bilateral and unilateral pelvic SLN detection rates were 90.0% (117/130) and 5.4% (7/130), respectively, and the identification rate (the rate at which at least one SLN could be identified on either side) was 95% (124/130). Lower extremity lymphedema occurred in only 1 patient (0.8%), and no pelvic lymphocele occurred. Recurrence occurred in 3 patients (2.3%), and the recurrence site was the abdominal cavity, with dissemination in 2 patients and vaginal stump in one. The 3-year recurrence-free survival and 3-year overall survival rates were 97.1% and 98.9%, respectively. Conclusion: Robotic surgery with SNNS for endometrial cancer showed a high SLN identification rate, low occurrence rates of lower extremity lymphedema and pelvic lymphocele, and excellent oncologic outcomes.
- Subjects
ENDOMETRIAL surgery; SURGICAL robots; SENTINEL lymph nodes; ENDOMETRIAL cancer; ONCOLOGIC surgery; PROGNOSIS
- Publication
Journal of Gynecologic Oncology, 2023, Vol 34, Issue 6, p1
- ISSN
2005-0380
- Publication type
Article
- DOI
10.3802/jgo.2023.34.e68