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

Sponsor
University Hospital, Angers (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT04834596
Collaborator
(none)
300
1
12
25

Study Details

Study Description

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

Condition or Disease Intervention/Treatment Phase
  • Other: retrospectives analysis on hepatic scanner

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.

Study Design

Study Type:
Observational
Anticipated Enrollment :
300 participants
Observational Model:
Case-Only
Time Perspective:
Retrospective
Official Title:
Detection and Automatic Segmentation of Liver Nodules in Patients With Colorectal
Anticipated Study Start Date :
May 2, 2021
Anticipated Primary Completion Date :
Dec 1, 2021
Anticipated Study Completion Date :
May 2, 2022

Arms and Interventions

Arm Intervention/Treatment
patients without hepatic metastases

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

Other: retrospectives analysis on hepatic scanner
hepatic scanner will be analysed by two radiologist and by the software

patients with synchronous hepatic metastases

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

Other: retrospectives analysis on hepatic scanner
hepatic scanner will be analysed by two radiologist and by the software

patients with metachronous hepatic metastases

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

Other: retrospectives analysis on hepatic scanner
hepatic scanner will be analysed by two radiologist and by the software

Outcome Measures

Primary Outcome Measures

  1. 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

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts 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

Contacts and Locations

Locations

Site City State Country Postal Code
1 UHAngers Angers France 49933

Sponsors and Collaborators

  • University Hospital, Angers

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
University Hospital, Angers
ClinicalTrials.gov Identifier:
NCT04834596
Other Study ID Numbers:
  • 2021 OOPS
First Posted:
Apr 8, 2021
Last Update Posted:
Apr 8, 2021
Last Verified:
Apr 1, 2021
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Apr 8, 2021