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

Not yet recruiting

• Conditions: Bone Vascular Tumor

• Registration Number: NCT05628792
• Lead Sponsor: Central Hospital, Nancy, France

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.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2022-10-28
• Status Verified: 2022-11
• Study First Submitted QC: 2022-11-23
• Last Update Submitted: 2022-11-23
• Study First Posted: 2022-11-29
• Last Update Posted: 2022-11-29
• Study Start: 2022-12-20
• Primary Completion: 2023-01-31
• Study Completion: 2023-03-31

Recruitment & Eligibility

• Status: NOT_YET_RECRUITING
• Sex: All
• Target Recruitment: 20

Inclusion Criteria

• Proven osteoid osteoma
• Ultra High Resolution CT

Exclusion Criteria

• None

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Number of nidus vessels	Retrospective review of all ultra high resolution CT of the precedent 2 years	Number
Number of cortical vessels	Retrospective review of all ultra high resolution CT of the precedent 2 years	Number

Secondary Outcome Measures

Name	Time	Method
Confidence Score	Retrospective review of all ultra high resolution CT of the precedent 2 years	1 (weak) to 5 (strong)