EANM procedure guidelines for brain PET imaging using [18F]FDG, version 3

Abstract

The present procedural guidelines summarize the current views of the EANM Neuro-Imaging Committee (NIC). The purpose of these guidelines is to assist nuclear medicine practitioners in making recommendations, performing, interpreting, and reporting results of [18F]FDG-PET imaging of the brain. The aim is to help achieve a high-quality standard of [18F]FDG brain imaging and to further increase the diagnostic impact of this technique in neurological, neurosurgical, and psychiatric practice. The present document replaces a former version of the guidelines that have been published in 2009. These new guidelines include an update in the light of advances in PET technology such as the introduction of digital PET and hybrid PET/MR systems, advances in individual PET semiquantitative analysis, and current broadening clinical indications (e.g., for encephalitis and brain lymphoma). Further insight has also become available about hyperglycemia effects in patients who undergo brain [18F]FDG-PET. Accordingly, the patient preparation procedure has been updated. Finally, most typical brain patterns of metabolic changes are summarized for neurodegenerative diseases. The present guidelines are specifically intended to present information related to the European practice. The information provided should be taken in the context of local conditions and regulations.

Image reconstruction using small-voxel size improves small lesion detection for positron emission tomography

“…While confirming the results of previous preclinical work of similar design 13 using high target-to-background ratios, we also found the advantages of small-voxel reconstruction to translate as well towards lower ratios, resembling realistic clinical circumstances when focused imaging is performed for limited body sections in extended duration, such as parathyroid or brain PET. 15 , 16 However, these findings may translate to acquisitions typically used for whole-body imaging as well, as recently shown in a preclinical study. 17 …”

Learning induces coordinated neuronal plasticity of metabolic demands and functional brain networks

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Spatiotemporal dynamics of brain function during the natural course in a dental pulp injury model

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