Establishment of a Feasibility Model for NOSE Surgery Based on Machine Learning

Not yet recruitingOBSERVATIONAL
Enrollment

460

Participants

Timeline

Start Date

June 1, 2023

Primary Completion Date

June 1, 2026

Study Completion Date

June 1, 2026

Conditions
Machine LearningSurgeryRectosigmoid CancerNatural Orifice Specimen Extraction Surgery
Interventions
PROCEDURE

Natural Orifice Specimen Extraction Surgery

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.

Trial Locations (1)

Unknown

The Sixth Affiliate Hospital of Sun Yat-Sen University, Guangzhou

All Listed Sponsors
lead

Sixth Affiliated Hospital, Sun Yat-sen University

OTHER

NCT05797064 - Establishment of a Feasibility Model for NOSE Surgery Based on Machine Learning | Biotech Hunter | Biotech Hunter