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

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT05628792

Enrollment

Registered

2022-11-29

Start date

2022-12-20

Completion date

2023-03-31

Last updated

2022-11-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bone Vascular Tumor

Keywords

CT, Osteoid Osteoma, Ultra High Resolution CT

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.

Interventions

DIAGNOSTIC_TESTCT

Ultra High Resolution CT scan

Study design

Observational model

CASE_ONLY

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to 70 Years

Healthy volunteers

Inclusion criteria

* Proven osteoid osteoma * Ultra High Resolution CT

Exclusion criteria

* None

Design outcomes

Primary

Measure	Time frame	Description
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

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

Contacts

Primary ContactRomain GILLET, MD

romain_gillet3@hotmail.com0680987216

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026