Detection of Liver Metastases
Conditions
Brief summary
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
Detailed 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.
Interventions
OTHERretrospectives analysis on hepatic scanner
hepatic scanner will be analysed by two radiologist and by the software
Sponsors
University Hospital, Angers
Study design
Observational model
CASE_ONLY
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| To evaluate the performance of the software for detection of hepatic nodules on CT scan of patients with colorectal cancer compared to a reference constituted by the evaluation established by two radiologists in consensus. | 1 month | Number of nodules detected by the software compared to the reference method |
Countries
France
Contacts
Primary ContactMarie Bost
Outcome results
None listed