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Impact of laparoscopic surgical experience on the learning curve of robotic rectal cancer surgery.
Noh, Gyoung Tae; Han, Myunghyun; Hur, Hyuk; Baik, Seung Hyuk; Lee, Kang Young; Kim, Nam Kyu; Min, Byung Soh.
Afiliação
  • Noh GT; Department of Surgery, Ewha Womans University School of Medicine, Seoul, Korea.
  • Han M; Department of Surgery, Ewha Womans University School of Medicine, Seoul, Korea.
  • Hur H; Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.
  • Baik SH; Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.
  • Lee KY; Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.
  • Kim NK; Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.
  • Min BS; Department of Surgery, Yonsei University College of Medicine, Seoul, Korea. bsmin@yuhs.ac.
Surg Endosc ; 35(10): 5583-5592, 2021 10.
Article em En | MEDLINE | ID: mdl-33030590
ABSTRACT

BACKGROUND:

Robotic surgery has advantages in terms of the ergonomic design and expectations of shortening the learning curve, which may reduce the number of patients with adverse outcomes during a surgeon's learning period. We investigated the differences in the learning curves of robotic surgery and clinical outcomes for rectal cancer among surgeons with differences in their experiences of laparoscopic rectal cancer surgery.

METHODS:

Patients who underwent robotic surgery for colorectal cancer were reviewed retrospectively. Patients were divided into five groups by surgeons, and their clinical outcomes were analyzed. The learning curve of each surgeon with different volumes of laparoscopic experience was analyzed using the cumulative sum technique (CUSUM) for operation times, surgical failure (open conversion or anastomosis-related complications), and local failure (positive resection margins or local recurrence within 1 year).

RESULTS:

A total of 662 patients who underwent robotic low anterior resection (LAR) for rectal cancer were included in the analysis. Number of laparoscopic LAR cases performed by surgeon A, B, C, D, and E prior to their first case of robotic surgery were 403, 40, 15, 5, and 0 cases, respectively. Based on CUSUM for operation time, surgeon A, B, C, D, and E's learning curve periods were 110, 39, 114, 55, and 23 cases, respectively. There were no significant differences in the surgical and oncological outcomes after robotic LAR among the surgeons.

CONCLUSIONS:

This study demonstrated the limited impact of laparoscopic surgical experience on the learning curve of robotic rectal cancer surgery, which was greater than previously reported curves.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Laparoscopia / Procedimentos Cirúrgicos Robóticos Tipo de estudo: Observational_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Laparoscopia / Procedimentos Cirúrgicos Robóticos Tipo de estudo: Observational_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article