In Vivo Depiction Of Bone Vascularization With UHR-CT CT And Deep Learning Algorithm Reconstruction: A Preliminary Study
Sponsor
Central Hospital, Nancy, France (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05628792
Collaborator
(none)
20
3.3
Study Details
Study Description
Brief 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.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
|
Study Design
Study Type:
Observational
Anticipated Enrollment
:
20 participants
Observational Model:
Case-Only
Time Perspective:
Retrospective
Official Title:
In Vivo Depiction Of Bone Vascularization With UHR-CT CT And Deep Learning Algorithm Reconstruction: A Preliminary Study
Anticipated Study Start Date
:
Dec 20, 2022
Anticipated Primary Completion Date
:
Jan 31, 2023
Anticipated Study Completion Date
:
Mar 31, 2023
Outcome Measures
Primary Outcome Measures
- Number of cortical vessels [Retrospective review of all ultra high resolution CT of the precedent 2 years]
Number
- Number of nidus vessels [Retrospective review of all ultra high resolution CT of the precedent 2 years]
Number
Secondary Outcome Measures
- Confidence Score [Retrospective review of all ultra high resolution CT of the precedent 2 years]
1 (weak) to 5 (strong)
Eligibility Criteria
Criteria
Ages Eligible for Study:
18 Years
to 70 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
-
Proven osteoid osteoma
-
Ultra High Resolution CT
Exclusion Criteria:
- None
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- Central Hospital, Nancy, France
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.Responsible Party:
GILLET Romain,
MD, MSK Radiologist,
Central Hospital, Nancy, France
ClinicalTrials.gov Identifier:
NCT05628792
Other Study ID Numbers:
- N°2-RCB/EUDRACT
First Posted:
Nov 29, 2022
Last Update Posted:
Nov 29, 2022
Last Verified:
Nov 1, 2022
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
Keywords provided by GILLET Romain,
MD, MSK Radiologist,
Central Hospital, Nancy, France
Additional relevant MeSH terms: