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

Song XueAndrei GafitaChao DongYu ZhaoGiles TettehBjoern H MenzeSibylle ZieglerWolfgang WeberAli Afshar-OromiehAxel RomingerMatthias EiberKuangyu Shi

Published in: European journal of nuclear medicine and molecular imaging (2022)

The preliminary results confirmed the feasibility of pretherapeutic estimation of treatment dosimetry and its added value to empirical population-based estimation. The exploration of dose prediction may support the implementation of treatment planning for RLT.

Keyphrases

prostate cancer
machine learning
radical prostatectomy
healthcare
pet ct
primary care
monte carlo
artificial intelligence
protein kinase
stem cells
big data
computed tomography
mesenchymal stem cells
newly diagnosed
bone marrow