Personalised [¹⁷⁷Lu]Lu-PSMA Treatment Planning from [⁶⁸Ga]Ga-PSMA PET/CT Radiomics: A Machine Learning Approach (EANM 2026) - Sep 29, 2026 - Abstract #EP-1238; "A [⁶⁸Ga]Ga-PSMA-11 PET/CT radiomics-based ML pipeline may predict OAR mean absorbed doses in the first cycle of [¹⁷⁷Lu]Lu-PSMA-617 RLT, demonstrating moderate predictive performance. These findings support the integration of PET-based ML models, in combination with other variables, into treatment planning workflows. This enables personalised pre-therapy dosimetry and thereby optimising administered activities and potentially improving treatment outcomes in [¹⁷⁷Lu]Lu-PSMA-617 RLT."
Machine learning • Castration-Resistant Prostate Cancer • Genito-urinary Cancer • Prostate Cancer • Solid Tumor
|
|
R. Simões 1, 2; P. Ferreira 1; F. Oliveira 1; D. Rombo 1; Â. Silva 1; L. C. Silva 1; R. Parafita 1; M. Costa 1; M. L. Dias 1; J. Machado 2; D. C. Costa 1
|