The goal of this observational study is to test in patients with resectable rectosigmoid cancers. The main question it aims to answer is establishment of a feasibility model for predicting natural orifice specimen extraction surgery (NOSES) based on machine learning.
Study Type
OBSERVATIONAL
Enrollment
460
Natural Orifice Specimen Extraction Surgery (NOSES) is a minimally invasive surgical technique that aims to reduce the size and number of incisions required during certain surgeries. In NOSES, the surgical specimen (such as a diseased organ or tumor) is removed from the body through a natural orifice (such as the mouth, anus, or vagina), rather than through an incision in the abdominal wall. In this trial, we will extract surgical specimens from the rectum to reduce trauma to the abdominal wall.
The Sixth Affiliate Hospital of Sun Yat-Sen University
Guangzhou, Guangdong, China
The number of successful operations performed
Accuracy will be calculated by the number of successful operations performed
Time frame: 3 years
The number of successful operations actually completed.
Accuracy will be calculated by the number of successful operations actually completed.
Time frame: 3 years
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