Robot-Assisted Laparoendoscopic Single-Site Partial Nephrectomy With the Novel Da Vinci Single-Site Platform: Initial Experience.
10.4111/kju.2014.55.6.380
- Author:
Christos KOMNINOS
1
;
Patrick TULIAO
;
Dae Keun KIM
;
Young Deuk CHOI
;
Byung Ha CHUNG
;
Koon Ho RHA
Author Information
1. Department of Urology and Urological Science Institute, Yonsei University College of Medicine, Seoul, Korea. khrha@yuhs.ac
- Publication Type:rapid-communication
- Keywords:
Kidney neoplasms;
Robotics
- MeSH:
Humans;
Kidney Neoplasms;
Length of Stay;
Nephrectomy*;
Operative Time;
Postoperative Complications;
Robotics
- From:Korean Journal of Urology
2014;55(6):380-384
- CountryRepublic of Korea
- Language:English
-
Abstract:
PURPOSE: To report our initial clinical cases of robotic laparoendoscopic single-site (R-LESS) partial nephrectomy (PN) performed with the use of the novel Da Vinci R-LESS platform. MATERIALS AND METHODS: Three patients underwent R-LESS PN from November 2013 through February 2014. Perioperative and postoperative outcomes were collected and intraoperative difficulties were noted. RESULTS: Operative time and estimated blood loss volume ranged between 100 and 110 minutes and between 50 and 500 mL, respectively. None of the patients was transfused. All cases were completed with the off-clamp technique, whereas one case required conversion to the conventional (multiport) approach because of difficulty in creating the appropriate scope for safe tumor resection. No major postoperative complications occurred, and all tumors were resected in safe margins. Length of hospital stay ranged between 3 and 7 days. The lack of EndoWrist movements, the external collisions, and the bed assistant's limited working space were noticed to be the main drawbacks of this surgical method. CONCLUSIONS: Our initial experience with R-LESS PN with the novel Da Vinci platform shows that even though the procedure is feasible, it should be applied in only appropriately selected patients. However, further improvement is needed to overcome the existing limitations.
