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Cumulative sum analysis of the learning curve of laparoendoscopic single-site robot-assisted radical prostatectomy

Authors :
Ming-Ru Lee
Wei-Ming Li
Ching-Chia Li
Yii-Her Chou
Wen-Jeng Wu
Yung-Shun Juan
Hung-Lung Ke
Sheng-Chen Wen
Hsiang-Ying Lee
Tsu-Ming Chien
Source :
Asian Journal of Surgery, Vol 46, Iss 9, Pp 3614-3619 (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Background: Radical prostatectomy has become the gold standard for treating localized prostate cancer. Improvement in the single-site technique and surgeon's skill reduces not only the hospital duration but also the number of wounds. Realizing the learning curve for a new procedure can prevent unnecessary mistakes. Objective: To analyze the learning curve of extraperitoneal laparoendoscopic single-site robot-assisted radical prostatectomy (LESS-RaRP). Methods: We retrospectively evaluated 160 patients diagnosed with prostate cancer during June 2016 to December 2020 who underwent extraperitoneal LESS-RaRP. Calculated cumulative sum analysis (CUSUM) was used to evaluate the learning curves for the extraperitoneal setting time, robotic console time, total operation time, and blood loss. The operative and functional outcomes were also assessed. Results: The learning curve of the total operation time was observed in 79 cases. For the extraperitoneal setting and robotic console times, the learning curve was observed in 87 and 76 cases, respectively. The learning curve for blood loss was observed in 36 cases. No in-hospital mortality or respiratory failure was observed. Conclusion: Extraperitoneal LESS-RaRP using the da Vinci Si system is safe and feasible. Approximately 80 patients are required to achieve a stable and consistent operative time. A learning curve for blood loss was observed after 36 cases.

Details

Language :
English
ISSN :
10159584
Volume :
46
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Asian Journal of Surgery
Publication Type :
Academic Journal
Accession number :
edsdoj.2784d1ea598e4a5f87ce9cdd84b76047
Document Type :
article
Full Text :
https://doi.org/10.1016/j.asjsur.2023.02.035