End of Treatment (EoT)
Purpose
Currently, the 5-point Deauville score (DS) assesses the post-treatment response on an end-of-treatment (EOT) PET/CT scan, categorizing scans as positive or negative for complete metabolic response. However, the Positive Predictive Value (PPV) remains suboptimal at around 60%. We believe that quantitative PET parameters could optimize EOT response criteria and help avoid unnecessary subsequent treatments, such as radiotherapy. We developed a model combining clinical and PET parameters from EOT and baseline scans to improve prediction of treatment failure. This research is financially supported by the Jackstädt Stiftung.
Objectives
To identify quantitative EOT PET parameters that predict PFS
To develop a model combining EOT PET and clinical parameters
To explore whether integrates baseline PET quantitative features could improve prediction
