OSCRCT_ colorectal cancer screening using artificial intelligence in computed tomography.

Recruiting

• Conditions: C19; C18.9; C20; Malignant neoplasm of rectosigmoid junction; Colon, unspecified; Malignant neoplasm of rectum

• Registration Number: DRKS00032464
• Lead Sponsor: MU München

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Study Start: 2024-01-24
• Last Update Posted: 19 August 2024

Recruitment & Eligibility

• Status: Recruiting
• Sex: All
• Target Recruitment: 1703

Inclusion Criteria

Patients with venous CT of the abdomen and complete colonoscopy
Time between CT and colonoscopy = 5 years

Exclusion Criteria

Aborted/incomplete colonoscopy
Inadequate image quality of venous CT abdomen
Period between CT and colonoscopy > 5 years

Study & Design

• Study Type: observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Colorectal cancer risk assessment with opportunistic analysis of CT image data of the liver by an automated artificial intelligence model. <br>Distinguish between patients with colorectal carcinoma and patients without colorectal carcinoma, or between patients with colorectal adenoma and patients without colorectal adenoma or carcinoma by an analysis of CT image data of the liver using a machine learning model.

Secondary Outcome Measures

Name	Time	Method
Statement of the histopathological findings of the colonoscopy performed.