Multivariate analysis of PET pharmacokinetic parameters improves inferential efficiency.

ABSTRACT:

Purpose

In positron emission tomography quantification, multiple pharmacokinetic parameters are typically estimated from each time activity curve. Conventionally all but the parameter of interest are discarded before performing subsequent statistical analysis. However, we assert that these discarded parameters also contain relevant information which can be exploited to improve the precision and power of statistical analyses on the parameter of interest. Properly taking this into account can thereby draw more informative conclusions without collecting more data.

Methods

By applying a hierarchical multifactor multivariate Bayesian approach, all estimated parameters from all regions can be analysed at once. We refer to this method as Parameters undergoing Multivariate Bayesian

SUBMITTER: Matheson GJ 

PROVIDER: S-EPMC10008760 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature