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It is a multicenter, prospective, and randomized controlled clinical study of patients with mid- or low- rectal cancer who received laparoscopic TME surgery aims to explore whether the application of near infrared-indocyanine green imaging system can evaluate the anastomotic blood perfusion accurately, and optimize the surgical procedures, or even reduce the incidence rates of postoperative anastomotic leakage in mid- or low- rectal cancer patients.
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In total mesorectal excision of rectal cancer, accurate assessment of rectal anastomotic blood supply is crucial: for insufficient anastomotic blood supply is an important cause of postoperative anastomotic leakage, and once anastomotic leakage occurs, the perioperative mortality rate of patients is reportedly 16%. In the past, the assessment of anastomotic blood supply mainly depended on the experience of the surgeon and lacked objective and accurate assessment methods. In recent years, the application of near-infrared fluorescence laparoscopic imaging technology has provided a new way to accurately evaluate anastomotic perfusion. At present, the technology has been applied to evaluate anastomotic blood supply in colorectal cancer surgery worldwide, and its safety and reliability have been confirmed. However, whether the application of this technology can reduce the incidence of anastomotic leakage after total mesorectal excision for rectal cancer and thus benefit patients still needs high-level evidence-based medical evidence support with multi-centers and large samples.Thus, a multicenter, prospective, and randomized controlled clinical study of patients with mid- or low- rectal cancer who received laparoscopic TME surgery was intend to conduct to explore whether the application of near infrared-indocyanine green imaging system can evaluate the anastomotic blood perfusion accurately, and optimize the surgical procedures, or even reduce the incidence rates of postoperative anastomotic leakage in mid- or low- rectal cancer patients.
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547 participants in 2 patient groups
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Hongwei Yao, Professor; Zhongtao Zhang, Professor
Data sourced from clinicaltrials.gov
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