Comparison of machine learning approaches for POD24 prediction based on pretreatment PET in follicular lymphoma patients (on behalf of CALYM/LYSA groups).

Such predictive models could help clinicians for early identification of poor-outcome patients and decision-making, and ultimately improve patient care. B Introduction: b Follicular Lymphoma (FL) is the second most common non-Hodgkin lymphoma in adults and is heterogeneous with 20% of poor-outcome patients relapsing/progressing within 24 months (POD24) of first treatment start (Casulo et al., JCO 2015). [Extracted from the article]