English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Background  Positron emission tomography (PET) allows for the measurement of cerebral blood flow (CBF; based on [ 15 O]H 2 O) and cerebral metabolic rate of glucose utilization (CMR glu ; based on [ 18  F]-2-fluoro-2-deoxy- d -glucose ([ 18  F]FDG)). By using kinetic modeling, quantitative CBF and CMR glu  values can be obtained. However, hardware limitations led to the development of semiquantitive calculation schemes which are still widely used. In this paper, the analysis of CMR glu  and CBF scans, acquired on a current state-of-the-art PET brain scanner, is presented. In particular, the correspondence between nonlinear as well as linearized methods for the determination of CBF and CMR glu  is investigated. As a further step towards widespread clinical applicability, the use of an image-derived input function (IDIF) is investigated.    Methods  Thirteen healthy male volunteers were included in this study. Each subject had one scanning session in the fasting state, consisting of a dynamic [ 15 O]H 2 O scan and a dynamic [ 18  F]FDG PET scan, acquired at a high-resolution research tomograph. Time-activity curves (TACs) were generated for automatically delineated and for manually drawn gray matter (GM) and white matter regions. Input functions were derived using on-line arterial blood sampling (blood sampler derived input function (BSIF)). Additionally, the possibility of using carotid artery IDIFs was investigated. Data were analyzed using nonlinear regression (NLR) of regional TACs and parametric methods.    Results  After quality control, 9 CMR glu  and 11 CBF scans were available for analysis. Average GM CMR glu  values were 0.33 ± 0.04 μmol/cm 3  per minute, and average CBF values were 0.43 ± 0.09 mL/cm 3  per minute. Good correlation between NLR and parametric CMR glu  measurements was obtained as well as between NLR and parametric CBF values. For CMR glu  Patlak linearization, BSIF and IDIF derived results were similar. The use of an IDIF, however, did not provide reliable CBF estimates.    Conclusion  Nonlinear regression analysis, allowing for the derivation of regional CBF and CMR glu  values, can be applied to data acquired with high-spatial resolution current state-of-the-art PET brain scanners. Linearized models, applied to the voxel level, resulted in comparable values. CMR glu  measurements do not require invasive arterial sampling to define the input function.    Trial registration  ClinicalTrials.gov NCT00626080

Cerebral blood flow and glucose metabolism in healthy volunteers measured using a high-resolution PET scanner