J. R. Moeller

Scaled Subprofile Model: A Statistical Approach to the Analysis of Functional Patterns in Positron Emission Tomographic Data

The data obtained from measurements of regional rCMRglu using [18F]fluorodeoxyglucose (FDG)/positron emission tomographic (PET) data contain more structure than can be identified with group mean rCMRglu profiles or regional correlation coefficients. This additional structure is revealed by a novel mathematical-statistical model of regional metabolic interactions that explicitly represents rCMRglu profiles as a combination of region-independent global effects, a group mean pattern and a mosaic of interacting networks. In its application to FDG/PET data, this model removes global subject effects [global scaling factors (GSFs)] and a group mean pattern (profile) so as to maximize statistical power for the detection and simultaneous discovery of all networks of two or more regions that form a significant and consistent linearly covarying pattern. The model approach presented here was applied to the combined rCMRglu data from 12 demented AIDS patients and 18 normal controls: Two significant metabolic covariance pattern descriptors that together accounted for 71 to 96% of the rCMRglu/GSF variation across subjects for 22/28 regions in the AIDS group were extracted. Each descriptor was found to be highly correlated with performance on several neuropsychological tests, providing independent validation of the analysis technique as a means of discovering and describing behaviorally related components of group rCMRglu profiles.

Effects of Percent Thresholding on the Extraction of [18F]Fluorodeoxyglucose Positron Emission Tomographic Region-of-Interest Data

Although we and others have employed a thresholding strategy to extract “peak” values from positron emission tomographic (PET) regions of interest (ROIs), the effects of peak picking on fitted fluorodeoxyglucose rate constants, regional metabolic rate for glucose (rCMRglc) profiles, patterns of regional metabolic covariation, and PET-neurobehavioral correlations have not been systematically investigated. Our results suggest that under some commonly encountered imaging conditions percent thresholding may increase sensitivity to regional activation; however, the effect of thresholding is determined by a number of factors, including the relative magnitude of regional activation, ROI size, and the specific threshold selected. The difference-annulus concept is proposed as a means to study the effects of different region drawing and thresholding strategies, and to determine if a given ROI contains one and only one source of covarying metabolic activity.

Positron emission tomographic measurement of blood-to-brain and blood-to-tumour transport of 82Rb. I: Error analysis and computer simulations

Unidirectional blood-to-brain and blood-to-tumour transport rate constants (K1) for 82Rb (half-life 76 s) and plasma water volume per unit mass of brain/tumour tissue (Vp) can be estimated in vivo using dynamic positron emission tomography (PET). The accuracy of these estimates depends upon the accuracy of PET measurements of regional brain/tumour radioactivity and scintillation well detector measurements of whole-blood radioactivity, which, in turn, depend upon the time course of arterial blood radioactivity. A two-compartmental model has been employed to derive estimates for K1, k2 (efflux rate constant) and Vp from 82Rb/PET data. Errors in these parameter estimates have been studied (1) qualitatively using sensitivity function analysis and (2) quantitatively using computer simulations. The effect of adding a third irreversible compartment and its unidirectional rate constant, k3, has also been investigated. The advantages and disadvantages of bolus injection vs continuous infusion protocols are discussed. Precision in estimated parameters from actual patient data is compared to that obtained from computer simulations in part II of this paper.

Absolute Quantitation in Neurological PET: Do We Need it?

This article addresses the question posed in the title by examining the effects of parameters traditionally associated with improved absolute quantitation, on the analysis of 12 acquired immune deficiency syndrome dementia complex (ADC) patients compared to a normal control group. Results are discussed within the framework of the subprofile scaling model (SSM) for analyzing patterns of regional covariation. It is demonstrated that the ability to extract measures of group discrimination and disease progression are unaffected by (1) limited improvements in image resolution, (2) the use of transmission scan smoothing, (3) the application of a scatter deconvolution correction, and (4) converting region-of-interest measurements of counts per voxel to measurements of regional CMRglc. This “robustness” of the SSM approach is partly due to the extraction of disease-related subject weights, independent of any subjects global scaling effects. It is argued that other analysis techniques that initially reduce intersubject variation (e.g., using regional ratios or normalizing by global metabolic rates before applying traditional multivariate procedures) lack analytic features that may be important to identify multidimensional, disease-related image patterns. Based on the ADC patient data, it is concluded that measures of group discrimination and disease progression will not necessarily benefit from the optimization of parameters traditionally associated with improved absolute quantitation.

Positron emission tomographic measurement of blood-to-brain and blood-to-tumour transport of 82Rb. II: Clinical data and validation of technique

Computer simulations and error analysis of a simple two-compartment, passive-diffusion exchange model for 82Rb across the blood-brain-barrier (BBB) have demonstrated the feasibility of obtaining useful estimates of unidirectional rate constant (K1) and tissue-blood water volume (Vb) in vivo using dynamic positron tomography (PET). The coefficients of variation (CV) in parameter estimates for 20 studies on ten patients are shown to have mean values of 10% for tumour K1 and Vb, 6% for normal brain Vb and 30% for normal brain K1. Ten test-retest studies show a very high correlation (R2 greater than 0.88) between the estimated parameter values. Apparent tissue blood volume (Vb) estimates obtained from 82Rb studies underestimate the blood volumes obtained by single-breath C15O studies by approximately 15%. In normal brain the extraction of rubidium (E) is small (less than 10%), and gives rise to a linear relationship between K1 and permeability-surface area product (PS). In tumour, however, E is larger (greater than 30%), and results in a non-linear relationship between these values. For both tumour and normal brain, K1 was found to be independent of regional cerebral blood flow (rCBF). The data from these clinical studies are in agreement with the predictions of the computer simulations and suggest the suitability of 82Rb/PET in the quantification of BBB functional changes.

The control of voice onset time and vowel duration after paraneoplastic cerebellar degeneration: Correlation with regional cerebral glucose metabolism using positron emission tomography

In a companion report, an impairment in voice onset time (VOT) control was described for a group of subjects with paraneoplastic cerebellar degeneration who could otherwise produce appropriate segmental duration. The underlying neurophysiological changes were related to regional cerebral metabolic rates for glucose (rCMRGlu) determined by F18‐fluorodeoxyglucose/positron emission tomography (PET). Nine cerebellar subjects and 18 normal controls were studied with eyes patched while listening to music and periodic verbal briefings. The rCMRGlu was calculated for each of 28 anatomically defined regions of interest (ROI). The cerebellar subjects could be differentiated from normals by their lower global metabolic rate, and by their rCMRGlu pattern. For those cerebellar subjects who could participate in the acoustic study, cerebellar rCMRGlu was significantly below normal range (p < 0.05) in all but one case. Severity of VOT abnormality appeared to be related not only to cerebellar rCMRGlu, but to abnormally lo...