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Diagnostic Performance of Low-Dose CT for Acute Abdominal Conditions
Sponsor: Oslo University Hospital
Summary
The goal of this non-inferiority observational study is to assess the diagnostic performance of low-dose CT with deep learning image reconstruction (DLIR) in adult participants with acute abdominal conditions. The main research question is: • Can low-dose CT with DLIR achieve the same diagnostic performance as standard CT for the diagnosis of acute abdominal conditions. Participants will be examined with an additional low-dose CT directly after the standard CT. Participant will be their own controls. Registration record updated on 15.05.2026 to correct entry errors (correction of sample size calculation now resulting in a larger sample size than previously stated, mixed-effects logistic regression was used for analysis of the diagnostic accuracy) so that the record reflects the study protocol in effect before enrollment of the first participant.
Official title: Diagnostic Performance of Deep Learning Image Reconstruction in Low Dose CT for the Detection of Acute Abdominal Conditions
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
246
Start Date
2022-12-07
Completion Date
2023-07-10
Last Updated
2026-06-08
Healthy Volunteers
No
Interventions
low-dose CT
Low-dose CT scan will be performed, not exceeding 30% radiation dose of the standard CT. Low-dose CT images will be reconstructed with TrueFidelity high. The low-dose CT will be performed directly after the standard CT to avoid bias from differences in the timing of the contrast phase.
Locations (2)
Odense University Hospital
Odense, Denmark
Oslo University Hospital
Oslo, Norway