Enhancing the diagnostic capacity of [18F]PSMA-1007 PET/MRI in primary prostate cancer staging with artificial intelligence and semi-quantitative DCE: an exploratory study
Firstly, semi-quantitative DCE analysis based on manual segmentations of time-intensity curves was able to distinguish benign from malignant tissues. Moreover, DL analysis of the MRI data could detect clinically significant PC in all cases, demonstrating the feasibility of AI-supported approaches in increasing diagnostic certainty of PSMA-radioligand PET/MRI.
Authors
- Heinz‐Peter Schlemmer (ORCID: https://orcid.org/0000-0002-9291-0954)
- Antonia Dimitrakopoulou‐Strauss (ORCID: https://orcid.org/0000-0003-0338-9472)
- Uwe Haberkorn (ORCID: https://orcid.org/0000-0001-6630-0338)
- David Bonekamp (ORCID: https://orcid.org/0000-0002-4811-0087)
- Klaus Maier‐Hein (ORCID: https://orcid.org/0000-0002-6626-2463)
- Bálint Kovàcs (ORCID: https://orcid.org/0000-0002-1191-0646)
- Nils Netzer (ORCID: https://orcid.org/0000-0001-5805-0535)
- Christos Sachpekidis (ORCID: https://orcid.org/0000-0001-8739-8741)
- Constantin Schwab (ORCID: https://orcid.org/0000-0002-0979-2943)
- Bettina Beuthien‐Baumann
- Stefan Duensing (ORCID: https://orcid.org/0000-0001-7840-138X)
- Martin T. Freitag (ORCID: https://orcid.org/0000-0002-2116-6873)
- Frederik Giesel
- Philip Glemser
Institutions
- University of Freiburg (DE)
- German Cancer Research Center (DE)
- Heidelberg University (DE)
- University Medical Center Freiburg (DE)
- University Hospital Heidelberg (DE)
- Düsseldorf University Hospital (DE)
- Heinrich Heine University Düsseldorf (DE)
Publication Details
- Journal
- EJNMMI Reports
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1186/s41824-024-00225-5
- Citations
- 2
- Primary Topic
- Prostate Cancer Treatment and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.84