HIGHLIGHTS
- who: Russell Frood from the Department of Nuclear Medicine and Molecular Imaging, University University of Leeds, Leeds, UK have published the Article: Utility of pre-treatment FDG PET/CT-derived machine learning models for outcome prediction in classical Hodgkin lymphoma, in the Journal: (JOURNAL)
- what: The aim of this work was to evaluate the performance of models using radiomic features derived from pretreatment FDG PET/CT to predict 2-year EFS in cHL patients using a larger tertiary centre cohort of patients. A surrogate, treatment intent, was used instead which demonstrated that the models created . . .
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