AI-driven body composition monitoring and its prognostic role in mCRPC undergoing lutetium-177 PSMA radioligand therapy: insights from a retrospective single-center analysis
PACS-Integrated, AI-based BC monitoring detects relative changes in the VAT, Which was an independent predictor of shorter OS in our population of patients undergoing RLT.
Authors
- Markus Galler (ORCID: https://orcid.org/0000-0002-5168-9288)
- Tristan Ruhwedel (ORCID: https://orcid.org/0000-0002-4693-5704)
- Christoph Wetz (ORCID: https://orcid.org/0000-0002-7392-1375)
- Dominik Geisel (ORCID: https://orcid.org/0000-0001-7348-0971)
- Julian M.M. Rogasch (ORCID: https://orcid.org/0000-0002-0817-6532)
- Johannes Kolck (ORCID: https://orcid.org/0000-0001-9843-2247)
- Holger Amthauer (ORCID: https://orcid.org/0000-0003-4414-0657)
- Seyd Shnayien (ORCID: https://orcid.org/0000-0003-3004-172X)
- Imke Schatka (ORCID: https://orcid.org/0000-0002-2628-6145)
- Nadine Biernath
- Nick Lasse Beetz (ORCID: https://orcid.org/0000-0003-4960-5652)
- Christian Furth (ORCID: https://orcid.org/0000-0001-7302-7886)
- Maria De Santis (ORCID: https://orcid.org/0000-0003-4969-0877)
Institutions
- Humboldt-Universität zu Berlin (DE)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
- Medical University of Vienna (AT)
Publication Details
- Journal
- EJNMMI Research
- Published
- 2025-08-28
- DOI
- https://doi.org/10.1186/s13550-025-01312-9
- Citations
- 1
- Primary Topic
- Prostate Cancer Treatment and Research
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- Charité – Universitätsmedizin Berlin