New PET imaging biomarker could better predict progression of Alzheimer’s disease

Researchers have discovered a way to better predict progression of Alzheimer’s disease. A study utilizing positron emission tomography to image microglial activation levels showed that these levels could predict current and future cognitive performance better than beta-amyloid levels. {read more here}

To help realize the full potential of quantitative PET, researchers at Yale University have investigated the use of the Centroid of Distribution (COD) algorithm to detect body motion and perform event-by-event non-rigid motion correction during image reconstruction. {read more here}

Advances in chemotherapy and cancer monitoring [PET] can dramatically extend the lives of almost one-third of pancreatic cancer patients with tumors previously considered inoperable, researchers report. {read more here}

Amyloid PET scans helped change diagnoses from Alzheimer’s to non-Alzheimer’s disease in 25% of cases and altered clinical management in nearly two-thirds of all patients in the study…{read more here}