In Vivo Depiction Of Bone Vascularization With UHR-CT CT And Deep Learning Algorithm Reconstruction: A Preliminary Study

Central Hospital, Nancy, France

Status: Not yet enrolling

Conditions: Bone Vascular Tumor

Treatments: Diagnostic Test: CT

Study type: Observational

Funder types: Other

Identifiers

NCT05628792

N°2-RCB/EUDRACT

Details and patient eligibility

About

To evaluate the image quality and ability to depict in vivo bone vascularization with an ultra-high-resolution computed tomography (UHR-CT) scanner using a deep learning reconstruction (DLR) and hybrid iterative reconstruction (HIR) algorithms, compared to simulated conventional CT, using osteoid osteoma (OO) as a model.

Enrollment: 20 estimated patients

Sex: All

Ages: 18 to 70 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Proven osteoid osteoma
• Ultra High Resolution CT

Exclusion criteria

• None