C19 C18.9 C20
Conditions
Interventions
Group 1: Rectrospective analysis of image data of all patients with venous CT of the abdomen and complete colonoscopy, in case of inadequate image quality of venous CT abdomen the data of the patients
Sponsors
LMU München
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: Patients with venous CT of the abdomen and complete colonoscopy Time between CT and colonoscopy = 5 years
Exclusion criteria
Exclusion criteria: Aborted/incomplete colonoscopy Inadequate image quality of venous CT abdomen Period between CT and colonoscopy > 5 years
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Colorectal cancer risk assessment with opportunistic analysis of CT image data of the liver by an automated artificial intelligence model. 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
| Measure | Time frame |
|---|---|
| Statement of the histopathological findings of the colonoscopy performed. | — |
Countries
Germany
Contacts
Public ContactGrosu Sergio
LMU München
Outcome results
None listed