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OPERANDI project aims to address unmet clinical needs in the current management of advanced-stage HCC treated with TARE by exploring new opportunities provided by imaging-based artificial intelligence (AI) and data augmentation, simultaneous PET-MRI imaging, and novel approaches to increase patient selection and TARE efficacy (genomic profiling, radiopotentiators, and new radionuclides). The research aim to identify predictive and early markers indicative of TARE effectiveness based on a large prospective cohort of HCC patients. This cohort will be used to uncover relevant predictive signatures within the morphological, functional, and molecular imaging data using novel imaging-based AI approaches with a new patient imaging pathway including simultaneous 18F-Choline PET-MRI. Considering this global objective, the objective of this clinical research protocol is to provide clinical, molec
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