PET features help guide dose escalation

December 18, 2015

Quantitative imaging features (QIFs) from FDG-PET combined with conventional prognostic factors of patients with non-small cell lung cancer (NSCLC) show potential to enhance overall survival risk stratification. That's the conclusion of study findings published in the Red Journal and Radiology.

Research is ongoing at the University of Texas MD Anderson Cancer Center to develop models that implement both QIFs and conventional prognostic patient and disease factors, in particular, to help stratify patients with the same disease stage. Patients with the same disease stage typically receive the same treatment for NSCLC, but some may benefit from more aggressive radiotherapy. The use of pretreatment QIFs could aid in the selection and delivery of treatment.

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