Detection and Automatic Segmentation of Liver Nodules in Patients With Colorectal Adenocarcinoma (OOPS)

University Hospital, Angers

Status: Unknown

Conditions: Detection of Liver Metastases

Treatments: Other: retrospectives analysis on hepatic scanner

Study type: Observational

Funder types: Other

Identifiers

NCT04834596

2021 OOPS

Details and patient eligibility

About

Evaluation of the diagnostic performance of artificial intelligence-based software for the detection of liver nodules on scanner in patients at risk of liver metastases of colorectal cancer

Full description

The aim of this study is to evaluate the performance of a software for liver nodule detection in patients with colorectal cancer compared to the consensus of two radiologists analysis.

300 hepatic scanners will be analysed.

Enrollment: 300 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients consecutively treated for colorectal cancer a
• Availability of imaging by injected abdominal scanner including at least one portal phase
• Age over 18

Exclusion criteria

• Patients with treatment of the hepatic nodule by ablation or previous hepatic surgery
• Imaging follow-up <12 months
• Non-interpretable scanner (artefact, injection quality, etc.)
• Patients with more than 10 liver metastases

Trial design

300 participants in 3 patient groups

patients without hepatic metastases

Description:

hepatic scanner of 100 patients with colorectal cancer without hepatic metastases will be analysed

Treatment:

Other: retrospectives analysis on hepatic scanner

patients with synchronous hepatic metastases

Description:

hepatic scanner of 100 patients with colorectal cancer with synchronous hepatic metastases will be analysed

Treatment:

Other: retrospectives analysis on hepatic scanner

patients with metachronous hepatic metastases

Description:

hepatic scanner of 100 patients with colorectal cancer with metachronous hepatic metastases will be analysed

Treatment:

Other: retrospectives analysis on hepatic scanner