Not Yet RecruitingNot Applicable

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

China460 participantsStarted 2023-06-01

Plain-language summary

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.

Who can participate

Age range18 Years – 80 Years

SexALL

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Inclusion criteria

✓. Patients diagnosed with colorectal cancer or large adenoma who are suitable for laparoscopic colorectal surgery;
✓. Tumor staging ≤ T3 without invasion of surrounding organs;
✓. No abdominal seeding or distant organ metastasis;
✓. Clear and complete imaging data (CT, pelvic MRI) that can be processed by a computer;
✓. Feasible evaluation and determination for obtaining specimens through the rectal channel during preoperative and intraoperative assessments.

Exclusion criteria

✕. Contraindications for laparoscopic colorectal surgery;
✕. Tumor staging is T4, or there are cancer nodules;
✕. Presence of metastasis or distant organ metastasis;
✕. Incomplete imaging data;
✕. Preoperative intestinal obstruction;
✕. Tumor or specimen diameter larger than the transverse diameter of the pelvic outlet;
✕. Previous rectal radiotherapy;
✕. Unsuitable evaluation and determination for obtaining specimens through the rectal channel during preoperative and intraoperative assessments.

What they're measuring

The number of successful operations performed

Timeframe: 3 years

The number of successful operations actually completed.

Timeframe: 3 years

Trial details

NCT IDNCT05797064

SponsorSixth Affiliated Hospital, Sun Yat-sen University

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2026-06-01

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