Deep learning reconstruction for detection of liver lesions at standard-dose and reduced-dose abdominal CT
Question Methods to reduce CT radiation dose are desirable in clinical practice, and DLR has shown promising image denoising capabilities. Findings Liver lesion detection was comparable for DLR and IR across dose levels, but detection of smaller lesions deteriorated with lower dose levels. Clinical relevance Although potent in image noise reduction, the diagnostic performance of DLR is comparable to IR at standard-dose and reduced-dose CT. Care must be taken in pursuit of dose reduction when the detection and characterization of smaller liver lesions are of clinical importance.
Authors
- Johann Baptist Dormagen
- Gaute Hagen
- Marianne G. Guren (ORCID: https://orcid.org/0000-0003-0593-0218)
- Tormund S. Njølstad (ORCID: https://orcid.org/0000-0003-4024-3819)
- Kristin Jensen (ORCID: https://orcid.org/0000-0002-8682-7767)
- A. Berstad (ORCID: https://orcid.org/0000-0002-5862-3329)
- Anniken Dybwad
- Kjetil Øye
- Hilde Kjernlie Andersen (ORCID: https://orcid.org/0000-0002-5710-0198)
- Cathrine Johansen
- Anselm Schulz (ORCID: https://orcid.org/0000-0001-7406-5497)
- Emma Thingstad
- Jan Glittum
Institutions
- Oslo University Hospital (NO)
- University of Oslo (NO)
- Haukeland University Hospital (NO)
Publication Details
- Journal
- European Radiology
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1007/s00330-025-11596-z
- Citations
- 3
- Primary Topic
- Radiation Dose and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.08
Funders
- Universitetet i Oslo