Start: June 2022
End: October 2023
The DETECT Acute project is a clinical two-centre study aiming to assess the diagnostic performance of low-dose computed tomography (CT) with a novel Deep Learning Image Reconstruction algorithm (DLIR) in patients with acute abdominal conditions, with a large sample size provided by two major trauma centres in Denmark and Norway.
CT scans of the abdomen and pelvis account for approximately 50% of the collective CT radiation dose. DLIR has demonstrated potential for reduced radiation dose without compromising image quality and may therefore contribute to improved radiation safety.
The study encompasses detection of numerous acute abdominal conditions as well as technical and perceived image quality evaluation.
- Department of Radiology, OUH
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
- Department of Clinical Research, SDU