Learning Curve of Robotic-Assisted Low Anterior Resection for Low and Mid Rectal Cancer.
J Laparoendosc Adv Surg Tech A
; 2024 Aug 21.
Article
en En
| MEDLINE
| ID: mdl-39167480
ABSTRACT
Objective:
The aim of our study was to assess the learning curve of robotic assisted low anterior resection with diverting loop ileostomy (LARDLI) for low and mid rectal cancer performed by novice in robotic-assisted surgery colorectal surgeon in a public hospital with limited access to the robotic platform.Methods:
A retrospective analysis of all low and mid rectal cancer robotic-assisted operations was conducted. All procedures were performed by a single surgeon with a once per week access to the Da Vinci® Si™ Surgical System, Intuitive Surgical Inc. Demographic, clinical, and pathological data were reviewed. The cumulative sum (CUSUM) analysis was utilized to analyze learning curve for operative time.Results:
A total of 107 consecutive patients who underwent LARDLI for lower and mid rectal cancer between November 2011 and July 2020 were included in the analysis. The median patients' age was 65 (range, 32-85) years, 72% were males (n = 77), and 91% (n = 97) received neoadjuvant therapy. Median operative time was 295.5 (range, 180-551) minutes. The conversion rate was 3.7% (n = 4). Median length of hospital stay was 6 (range, 1-41) days. There were 35 (32.7%) postoperative complications, of these 7 (6.5%) were major complications (≥Grade 3, according to the Clavien-Dindo classification). There was only one intraoperative complication (.9%). CUSUM analysis showed that the learning curve was 49 cases to achieve a plateau.Conclusions:
The learning curve of robotic assisted low anterior resection for lower and mid rectal cancer for a novice in robotic surgery colorectal surgeon with limited access to the robotic platform is 49 cases. Surgeon and operative team dedication, alongside sufficient hospital support, may lower the number of cases of the learning curve.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
J Laparoendosc Adv Surg Tech A
Año:
2024
Tipo del documento:
Article
País de afiliación:
Israel
Pais de publicación:
Estados Unidos