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

NCT05628792 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 20

Last updated 2022-11-29

No results posted yet for this study

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

  • Bone Vascular Tumor

Interventions

DIAGNOSTIC_TEST

CT

Ultra High Resolution CT scan

Sponsors & Collaborators

  • Central Hospital, Nancy, France

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-12-20
Primary Completion
2023-01-31
Completion
2023-03-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05628792 on ClinicalTrials.gov