A fully automated AI-based method for tumour detection and quantification on [18F]PSMA-1007 PET–CT images in prostate cancer
The performance of the newly developed and fully automated AI-based method for detecting and quantifying prostate tumour and suspected lymph node and bone metastases increased significantly, especially the PPV. The AI method is freely available to other researchers ( www.recomia.org ).
Authors
- Elin Trägårdh (ORCID: https://orcid.org/0000-0002-7116-303X)
- Olof Enqvist (ORCID: https://orcid.org/0000-0002-7456-1009)
- Kristian Valind (ORCID: https://orcid.org/0000-0002-6796-9532)
- David Minarik (ORCID: https://orcid.org/0009-0000-8129-3228)
- Lars Edenbrandt (ORCID: https://orcid.org/0000-0002-0263-8820)
- Måns Larsson (ORCID: https://orcid.org/0000-0003-3137-1405)
- Johannes Ulén (ORCID: https://orcid.org/0000-0003-1625-8367)
Institutions
- Malmö University (SE)
- Lund University (SE)
- Sahlgrenska University Hospital (SE)
- Wallenberg Wood Science Center (SE)
- Skåne University Hospital (SE)
- Chalmers University of Technology (SE)
- University of Gothenburg (SE)
Publication Details
- Journal
- EJNMMI Physics
- Published
- 2025-08-20
- DOI
- https://doi.org/10.1186/s40658-025-00786-9
- Citations
- 5
- Primary Topic
- Prostate Cancer Treatment and Research
- Type
- article
- Field-Weighted Citation Impact
- 7.59
Funders
- Prostate Cancer Foundation
- Swedish Cancer Foundation
- Cancerfonden
- Lunds Universitet
- Knut och Alice Wallenbergs Stiftelse
- Malmö Högskola