Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with 177Lu-PSMA I&T therapy

• DOI: 10.1007/s00259-022-05883-w
• Publication Date: 2022-06-30T06:05:24Z
• Authors: Song Xue; Andrei Gafita; Chao Dong; Yu Zhao; Giles Tetteh; Bjoern H. Menze; Sibylle Ziegler; Wolfgang Weber; Ali Afshar-Oromieh; Axel Rominger; Matthias Eiber; Kuangyu Shi
• Keywords: Radionuclide therapy

Although treatment planning and individualized dose application for emerging prostate-specific membrane antigen (PSMA)-targeted radioligand therapy (RLT) are generally recommended, it is still difficult to implement in practice at the moment. In this study, we aimed prove concept of pretherapeutic prediction dosimetry based on imaging laboratory measurements before RLT treatment.