Literature DB >> 7658230

An improved method to calculate cerebral metabolic rates of glucose using PET.

R L Phillips1, C Y Chen, D F Wong, E D London.   

Abstract

UNLABELLED: PET methods for single-scan measurement of the cerebral metabolic rate of glucose (CMRglc) generally involve sampling of radioactivity in arterial plasma over the course of the experiment. The purpose of this study was to develop an analytic procedure that would require substantially fewer plasma samples to measure CMRglc using the single-scan method.
METHODS: This technique uses a model for the curve describing the time course of radioactivity in plasma.
RESULTS: This model obviates the need to draw arterial samples at short time intervals or at all during the first 30 min after radiotracer injection. The new technique uses six samples to provide the same accuracy and precision as the conventional method provides with 30 or more samples.
CONCLUSION: The proposed method greatly simplifies quantitative PET studies of glucose metabolism.

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Year:  1995        PMID: 7658230

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  3 in total

1.  Estimating the input function non-invasively for FDG-PET quantification with multiple linear regression analysis: simulation and verification with in vivo data.

Authors:  Yu-Hua Fang; Tsair Kao; Ren-Shyan Liu; Liang-Chih Wu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-01-23       Impact factor: 9.236

2.  Image-derived input function in dynamic human PET/CT: methodology and validation with 11C-acetate and 18F-fluorothioheptadecanoic acid in muscle and 18F-fluorodeoxyglucose in brain.

Authors:  Etienne Croteau; Eric Lavallée; Sébastien M Labbe; Laurent Hubert; Fabien Pifferi; Jacques A Rousseau; Stephen C Cunnane; André C Carpentier; Roger Lecomte; François Bénard
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-05-02       Impact factor: 9.236

Review 3.  Recent advances in parametric neuroreceptor mapping with dynamic PET: basic concepts and graphical analyses.

Authors:  Seongho Seo; Su Jin Kim; Dong Soo Lee; Jae Sung Lee
Journal:  Neurosci Bull       Date:  2014-09-28       Impact factor: 5.203

  3 in total

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