Trials / Unknown
UnknownNCT05628792
In Vivo Depiction Of Bone Vascularization With UHR-CT CT And Deep Learning Algorithm Reconstruction: A Preliminary Study
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 20 (estimated)
- Sponsor
- Central Hospital, Nancy, France · Academic / Other
- Sex
- All
- Age
- 18 Years – 70 Years
- Healthy volunteers
- Not accepted
Summary
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.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | CT | Ultra High Resolution CT scan |
Timeline
- Start date
- 2022-12-20
- Primary completion
- 2023-01-31
- Completion
- 2023-03-31
- First posted
- 2022-11-29
- Last updated
- 2022-11-29
Source: ClinicalTrials.gov record NCT05628792. Inclusion in this directory is not an endorsement.