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DETECT Acute

Full title: Diagnostic performance of deep learning image reconstruction in low dose computed tomography for the detection of acute abdominal conditions

All projects

Project period

Start: June 2022
End: October 2023

Aim

The DETECT Acute project was 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 encompassed detection of numerous acute abdominal conditions as well as technical and perceived image quality evaluation.

Participants

  • Department of Radiology, OUH
  • Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
  • Department of Clinical Research, SDU
Bo Mussmann

Bo Mussmann

Associate Professor, Research Radiographer, PhD

Odense University Hospital, Department of Radiology


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