Multicentric 68Ga-PSMA PET radiomics for treatment response assessment of 177Lu-PSMA-617 radioligand therapy in patients with metastatic castration-resistant prostate cancer

Abstract

Our results demonstrate that a machine learning model to predict response to ¹⁷⁷Lu-PSMA treatment based on a combination of radiomics and patient age outperforms a model based on age and PET parameters. Moreover, the identified radiomic signature based on pretreatment ⁶⁸Ga-PSMA PET images might be able to identify patients with an improved outcome and serve as a supportive tool in clinical decision making.