Clinical trial · Observational
In Vivo Depiction Of Bone Vascularization With UHR-CT CT And Deep Learning Algorithm Reconstruction: A Preliminary Study
NCT05628792CI-TRIAL-00062375unknownClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Bone Vascular Tumor | Vascular Bone Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| CT | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (2)
- measure
- Number of cortical vessels
- timeFrame
- Retrospective review of all ultra high resolution CT of the precedent 2 years
- description
- Number
- measure
- Number of nidus vessels
- timeFrame
- Retrospective review of all ultra high resolution CT of the precedent 2 years
- description
- Number
Secondary outcomes (1)
- measure
- Confidence Score
- timeFrame
- Retrospective review of all ultra high resolution CT of the precedent 2 years
- description
- 1 (weak) to 5 (strong)
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 70 Years
Show eligibility criteria text
Inclusion Criteria: * Proven osteoid osteoma * Ultra High Resolution CT Exclusion Criteria: * None
References
Publications (0)
Data not yet available
No reference posted for this study.