Investigations of cerebral glucose utilization into the newborn brain: A [18F]-FDG positron emission tomography study using a high resolution multiwire proportional chamber detector device

1991 ◽  
Vol 42 (4) ◽  
pp. 229-233 ◽  
Author(s):  
R. Bauer ◽  
R. Bergmann ◽  
G.J. Beyer ◽  
P. Manfrass ◽  
J. Steinbach ◽  
...  
2014 ◽  
Vol 55 (4) ◽  
pp. 453-461 ◽  
Author(s):  
Ranno Viitmaa ◽  
Merja Haaparanta-Solin ◽  
Marjatta Snellman ◽  
Sigitas Cizinauskas ◽  
Toomas Orro ◽  
...  

Brain ◽  
1983 ◽  
Vol 106 (3) ◽  
pp. 761-775 ◽  
Author(s):  
R. DUARA ◽  
R. A. MARGOLIN ◽  
E. A. ROBERTSON-TCHABO ◽  
E. D. LONDON ◽  
M. SCHWARTZ ◽  
...  

1994 ◽  
Vol 14 (3) ◽  
pp. 406-422 ◽  
Author(s):  
F. Turkheimer ◽  
R. M. Moresco ◽  
G. Lucignani ◽  
L. Sokoloff ◽  
F. Fazio ◽  
...  

A method for kinetic analysis of dynamic positron emission tomography (PET) data by linear programming that allows identification of the components of a measured PET signal without predefining a compartmental model has recently been proposed by Cunningham and co-workers. The method identifies a small subset of functions from a large input set of feasible functions that best fits the time course of total radioactivity measured by PET. To investigate in detail the properties of this technique, we applied it to PET studies with [18F]fluorodeoxyglucose, a tracer with well-characterized kinetic properties. We examined dynamically acquired data over various time intervals in many brain regions and found that the number of components identified by the method is stable and consistent with the presence of kinetic heterogeneity in every region. We optimized the method for determination of regional rates of glucose utilization; calculated rates were found to be somewhat dependent upon the treatment of noise in the measured tissue data and upon the time interval in which the data were collected. The application of a numerical filter to remove noise in the data resulted in values for regional cerebral glucose utilization that were stable with time and consistent with rates determined by the other established techniques. Based on the results of the current study, we expect that the spectral analysis technique will prove to be a highly flexible tool for kinetic analysis of other tracer compounds; it is capable of producing low-variance, time-stable estimates of physiological parameters when optimized for time interval of application, input spectrum of components, and processing of noise in the data.


1985 ◽  
Vol 5 (1) ◽  
pp. 115-125 ◽  
Author(s):  
K. Wienhard ◽  
G. Pawlik ◽  
K. Herholz ◽  
R. Wagner ◽  
W.-D. Heiss

Various approaches estimating local cerebral glucose utilization by positron emission tomography of labeled deoxyglucose are compared. Autoradiographic methods that predict the glucose utilization rate from a single scan are unreliable in pathologic tissue because of abnormal values of the model rate constants. A normalization procedure using the ratio of measured tissue activity to activity calculated with standard rate constants is proposed to readjust the values of the rate constants. Reliable estimates of metabolic rates can be obtained from dynamic recordings of tracer uptake. In the graphic approach, metabolic rate can be derived from the slope of a segment of a transformed uptake curve, which becomes linear at 15–20 min after intravenous tracer injection, with an accuracy comparable with that in complete dynamic studies. However, by recording and analyzing full-length uptake curves, in addition to metabolic rate, the model rate constants can be determined regionally. The physiological significance of those parameters is demonstrated in crossed cerebellar deactivation in 30 patients with supratentorial infarcts. Mild hypometabolism both within the ischemic lesion and in the morphologically intact cerebellum is accompanied by a reduction of the phosphorylation rate only. Severe metabolic depression, by contrast, affects both cerebellar transport and phosphorylation processes, whereas in the cerebrum, only the rate constant k1 is significantly correlated with the degree of metabolic disturbance.


1997 ◽  
Vol 17 (6) ◽  
pp. 704-712 ◽  
Author(s):  
June M. Stapleton ◽  
Michael J. Morgan ◽  
Xiang Liu ◽  
Babington C. K. Yung ◽  
Robert L. Phillips ◽  
...  

Cerebral glucose utilization was higher during the first positron emission tomography (PET) session than during the second session, as assayed using the PET [18F]fluorodeoxyglucose method in male human volunteers. This difference was due largely to data from subjects with low trait anxiety, since subjects with high anxiety showed similar metabolism in both PET sessions. High-anxiety subjects showed greater right/left ratios of cerebral metabolism than low-anxiety subjects, particularly during the second PET session. These findings suggest that the level of anxiety may be an important variable to consider in PET studies using multiple sessions.


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