Prognostic value of body composition out of PSMA-PET/CT in prostate cancer patients undergoing PSMA-therapy
This retrospective study aims to develop a deep learning-based approach to whole-body CT segmentation out of standard PSMA-PET-CT to assess body composition in metastatic castration resistant prostate cancer (mCRPC) patients prior to [ Lu]Lu-PSMA radioligand therapy (RLT). Our goal is to go beyond s...
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Published in | European journal of nuclear medicine and molecular imaging |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Germany
28.06.2025
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Subjects | |
Online Access | Get full text |
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