Histological Segmentation of the Superficial Femoral Artery From Microscan to CT Using Artificial Intelligence

Launched by UNIVERSITY HOSPITAL, STRASBOURG, FRANCE · Feb 13, 2024

Keywords

ClinConnect Summary

This clinical trial is looking at a new way to better understand and treat problems in the femoropopliteal artery, which is a long artery in the leg that can become narrowed or blocked due to a condition called peripheral artery disease. Researchers are using advanced imaging technology and artificial intelligence to differentiate between different types of plaque buildup in this artery, which can help doctors decide on the best treatment options. Currently, there isn't a reliable non-invasive method to identify these lesions before surgery, so this study aims to improve that by combining images from a special microscope scanner and standard CT scans.

To be eligible for this trial, participants must be adults who are scheduled for a transfemoral amputation at the Hôpitaux Universitaires de Strasbourg and who have already had a CT scan as part of their routine care. They also need to agree to take part in the study. Participants can expect to have their artery images analyzed using the new technology, which could help future patients receive better, more personalized treatment options. This trial is not yet recruiting participants, but it aims to make significant advancements in how doctors understand and treat issues related to the femoropopliteal artery.

Gender

ALL

Eligibility criteria

• Inclusion criteria:
• • Male or female of legal age
• • Subject with a planned transfemoral amputation in the vascular surgery department of the Hôpitaux Universitaires de Strasbourg as standard care
• • Subject with a CT as part of standard care
• • Subject who has given his/her non-opposition to participate in the study
• Exclusion criteria:
• • - Impossible to give the subject informed information (subject in emergency situation, difficulties in understanding)