Robotics & Machine Learning Daily News2024,Issue(MAY.7) :11-12.

Colorectal Department Reports Findings in Colon Cancer (Comparison of early surg ical outcomes of robotic and laparoscopic colorectal cancer resection reported b y a busy district general hospital in England)

Robotics & Machine Learning Daily News2024,Issue(MAY.7) :11-12.

Colorectal Department Reports Findings in Colon Cancer (Comparison of early surg ical outcomes of robotic and laparoscopic colorectal cancer resection reported b y a busy district general hospital in England)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Colon Cance r is the subject of a report. According to news reporting originating from Londo n, United Kingdom, by NewsRx correspondents, research stated, “Robotic platforms provide a stable tool with high-definition views and improved ergonomics compar ed to laparoscopic approaches. The aim of this retrospective study was to compar e the intra- and short-term postoperative results of oncological resections perf ormed robotically (RCR) and laparoscopically (LCR) at a single centre.” Our news editors obtained a quote from the research from Colorectal Department, “Between February 2020 and October 2022, retrospective data on RCR were compared to LCR undertaken during the same period. Parameters compared include total ope rative time, length of stay (LOS), re-admission rates, 30- day morbidity. 100 RCR and 112 LCR satisfied inclusion criteria. There was no difference between the t wo group’s demographic and tumour characteristics. Overall, median operative tim e was shorter in LCR group [200 vs. 247.5 min, p<0.005], but this advantage was not observed with pelvic and muti-quadrant resections. There was no difference in the rate of conversion [5(5%) vs. 5(4.5%), p> 0.95] . With respect to perioperative outcomes, there was no difference in the overall morbidity, or mortality between RCR and LCR, in particular requirement for bloo d transfusion [3(3%) vs. 5(4.5%), p 0.72], prolonged ileus [9(9% ) vs. 15(13.2%), p 0.38], surgical site infectio ns [5(4%) vs. 5(4.4%), p> 0.95], anastomotic leak [7(7 % ) vs. 5(4.4%), p 0.55], and re-operation rate [9(9%) vs. 7(6.3%), p 0.6]. RCR had shorter LOS by one night, but this did not reach statistical significance. No di fference was observed in completeness of resection but there was a statically si gnificant increase in lymph node harvest in the robotic series.”

Key words

London/United Kingdom/Europe/Cancer/Colon Cancer/Colorectal Research/Emerging Technologies/Gastroenterology/Heal th and Medicine/Machine Learning/Oncology/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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