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

NCT05628792 — Unknown, 20 participants, Central Hospital, Nancy, France
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RegistryNCT05628792
StatusUnknown
Study typeObservational
Enrollment20 (Estimated)
SponsorCentral Hospital, Nancy, France (Other)
ConditionsBone Vascular Tumor
InterventionsCT (Diagnostic test)
Datesstart 2022-12-20 (estimated), primary completion 2023-01-31 (estimated), completion 2023-03-31 (estimated), first posted 2022-11-29, last updated 2022-11-29

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-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.

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+Arms and interventions

  • CT (Diagnostic test): Ultra High Resolution CT scan

+Outcome measures

Primary outcomes

  • 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 outcomes

  • Confidence Score [Retrospective review of all ultra high resolution CT of the precedent 2 years]: 1 (weak) to 5 (strong)

+Eligibility

Sex: All, ages: 18 Years to 70 Years

Inclusion Criteria:

* Proven osteoid osteoma
* Ultra High Resolution CT

Exclusion Criteria:

* None