Automated deep learning-based quantification of baseline imaging PET metrics on FDG PET/CT images of pediatric lymphoma patients

506 null Purpose: null null In pediatric lymphoma, quantitative FDG PET/CT imaging features, such as metabolic tumor volume (MTV) and total lesion glycolysis (TLG), have been shown to be important for prognosis and informing treatment decisions. However, the extraction of these features is difficult and time consuming due to high disease burden on baseline imaging. The purpose of this study was to automate the measurement of PET imaging features...