Staging of prostate Cancer with ultra-fast PSMA-PET scans enhanced by AI.
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| Title: | Staging of prostate Cancer with ultra-fast PSMA-PET scans enhanced by AI. |
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| Authors: | Kersting D; Department of Nuclear Medicine and German Cancer Consortium (DKTK), University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, Essen, 45147, Germany. david.kersting@uni-due.de., Borys K; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute of Interventional and Diagnostic Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Küper A; Department of Nuclear Medicine and German Cancer Consortium (DKTK), University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, Essen, 45147, Germany., Kim M; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute of Interventional and Diagnostic Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Haubold J; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute of Interventional and Diagnostic Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Goerttler T; Department of Nuclear Medicine and German Cancer Consortium (DKTK), University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, Essen, 45147, Germany., Umutlu L; Institute of Interventional and Diagnostic Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Costa PF; Department of Nuclear Medicine and German Cancer Consortium (DKTK), University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, Essen, 45147, Germany., Kleesiek J; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Cancer Research Center Cologne Essen (CCCE), University Medicine Essen, Essen, Germany.; German Cancer Consortium (DKTK), Partner Site Essen, Essen, Germany., Rischpler C; Department of Nuclear Medicine and German Cancer Consortium (DKTK), University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, Essen, 45147, Germany.; Department of Nuclear Medicine, Klinikum Stuttgart, Stuttgart, Germany., Nensa F; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute of Interventional and Diagnostic Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Herrmann K; Department of Nuclear Medicine and German Cancer Consortium (DKTK), University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, Essen, 45147, Germany., Fendler WP; Department of Nuclear Medicine and German Cancer Consortium (DKTK), University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, Essen, 45147, Germany., Weber M; Department of Nuclear Medicine and German Cancer Consortium (DKTK), University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, Essen, 45147, Germany., Hosch R; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute of Interventional and Diagnostic Radiology and Neuroradiology, University Hospital Essen, Essen, Germany., Seifert R; Department of Nuclear Medicine and German Cancer Consortium (DKTK), University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, Essen, 45147, Germany.; Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland. |
| Source: | European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2025 Apr; Vol. 52 (5), pp. 1658-1670. Date of Electronic Publication: 2025 Jan 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Berlin Country of Publication: Germany NLM ID: 101140988 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1619-7089 (Electronic) Linking ISSN: 16197070 NLM ISO Abbreviation: Eur J Nucl Med Mol Imaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1619-7089 |
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| DOI: | 10.1007/s00259-024-07060-7 |
