Robotic complete mesocolic excision for right colon cancer: Learning curve, training, techniques, approach, platforms, and future perspectives

被引:0
作者
Piozzi, Guglielmo Niccolo [1 ]
Subramaniam, Sentilnathan [1 ,2 ]
Duhoky, Rauand [1 ,3 ]
Hohenberger, Werner [4 ]
Khan, Jim S. [1 ,5 ]
机构
[1] Portsmouth Hosp Univ NHS Trust, Dept Colorectal Surg, Portsmouth, England
[2] Hosp Selayang, Dept Gen Surg, Colorectal Surg Unit, Batu Caves, Selangor, Malaysia
[3] Univ Portsmouth, Fac Technol, Portsmouth, England
[4] Univ Klinikum Erlangen, Dept Gen Surg, Erlangen, Germany
[5] Univ Portsmouth, Fac Sci & Hlth, Portsmouth, England
来源
LAPAROSCOPIC ENDOSCOPIC AND ROBOTIC SURGERY | 2024年 / 7卷 / 02期
关键词
Robotic surgery; Complete mesocolic excision; Robotic platform; Colon cancer; Colorectal surgery; NODE DISSECTION; RECTAL-CANCER; SURGERY; SURVIVAL; EPIDEMIOLOGY; EXPERIENCE; LIGATION;
D O I
10.1016/j.lers.2024.04.001
中图分类号
R61 [外科手术学];
学科分类号
摘要
Colon cancer has the fifth highest incidence worldwide and has the sixth highest mortality. Compared with rectal cancer, colon cancer currently has the worst 5-year overall survival for patients with stage II and III disease. Complete mesocolic excision has been developed as a standardized and optimized surgical technique for the excision of colon cancers. This technique has traditionally been performed through an open approach since laparoscopy is generally considered technically challenging. The robotic approach has been slowly implemented for colon cancer, but the newest robotic platforms allow for a safer and optimized approach for right colon cancer. Several robotic approaches have been developed and explored. The expansion of the current robotic platform ecosystem is gradually providing new outputs in the application of the robotic approach to complete mesocolic excision. This review gains an oversight of existing literature on robotic complete mesocolic excision for right colon cancer (learning curve, training, techniques, approach, platforms, and future perspectives). (c) 2024 Zhejiang University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/ by-nc-nd/4.0/).
引用
收藏
页码:53 / 59
页数:7
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