Robotics & Machine Learning Daily News2024,Issue(Sep.19) :74-74.

Lishui Central Hospital Reports Findings in Cancer [A novel s ingle-port robotic proximal gastrectomy with right-sided overlap and single-flap valvuloplasty (RPG-ROSF) to treat gastroesophageal cancer: A case report]

Robotics & Machine Learning Daily News2024,Issue(Sep.19) :74-74.

Lishui Central Hospital Reports Findings in Cancer [A novel s ingle-port robotic proximal gastrectomy with right-sided overlap and single-flap valvuloplasty (RPG-ROSF) to treat gastroesophageal cancer: A case report]

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cancer is the subject of a report. According to news originating from Lishui, People’s Republic of Chi na, by NewsRx correspondents, research stated, “Robotic surgery has been widely used in surgical gastric cancer treatments, including proximal gastrectomy. Sing le-port robotic system is gaining more popularity in robotic surgery, but there has been no report on its application in robotic proximal gastrectomy with right -sided overlap and single-flap valvuloplasty (RPG-ROSF).” Financial support for this research came from Health Commission of Zhejiang Prov ince. Our news journalists obtained a quote from the research from Lishui Central Hosp ital, “Here, we report an RPG-ROSF using a novel single-port robotic system in a 51-year-old male patient with an early-stage gastroesophageal cancer detected b y gastroscopy. It took 90 min for robotic setup, 143 min for dissection, and 161 min for digestive tract reconstruction. There was no complication during and af ter the surgery. The patient was discharged in 8 days postsurgery. The pathologi cal staging of the adenocarcinoma was pT1aN0M0.”

Key words

Lishui/People’s Republic of China/Asia/Cancer/Digestive System Surgical Procedures/Emerging Technologies/Gastrecto my/Gastroenterology/Health and Medicine/Machine Learning/Oncology/Robotics/Robots/Surgery

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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