The new total-body PET/CT scanner could revolutionize our understanding and treatment of disease through analysis of better imaging data from the whole body. In The Journal of Nuclear Medicine (JNM) featured January article, scientists at the University of California, Davis (UC Davis), outline the development and benefits of this innovative diagnostic tool and explain how maximizing PET sensitivity will advance clinical research and patient care.  {read more here}

The Society of Nuclear Medicine and Molecular Imaging (SNMMI) announced Thursday, Jan. 4, the publication of appropriate use criteria (AUC) for somatostatin receptor PET imaging in neuroendocrine tumors. {read more here}

A deep-learning algorithm that analyzed FDG-PET was able to differentiate between normal cognition and dementia. Such models could someday help radiologists diagnose Alzheimer’s disease, especially if they don’t see the condition often, according to a study presented at the RSNA 2017 meeting. {read more here}