Tissue heterogeneity

As a result of the limited spatial resolution of PET scanners, the measured tissue time-activity curve inside a VOI (even inside single image voxel) is a mixture of the TACs of more than one tissue component (Blomqvist et al., 1995). At its best, model parameters calculated from this kind of TAC represents the average of true parameter values inside the VOI.

In PET data analysis, tissue heterogeneity is usually considered only as a nuisance, as far as it is caused by partial volume effect. But there also exists biological tissue heterogeneity, which can also be quantitated using PET, possibly providing useful data for survival analysis in oncological patients (O’Sullican et al., 2003; Eary et al., 2008; Asselin et al., 2012; Hatt et al., 2013; Willaime et al., 2013) and physiological studies of skeletal muscle (Kalliokoski et al.).

Analysis of heterogeneous data

Methods based on assumption of homogeneous tissue may lead to over- or underestimation of model parameters. Compartmental model results (even macroparameters) may be biased. Because of tissue heterogeneity, a wrong compartmental model may be selected: for example, apparent k4>0 in FDG studies may be caused by tissue heterogeneity, not by dephosphorylation of FDG-6-phosphate. In the commonly used two-tissue compartmental model the two settings, where tissue compartments are in series or in parallel, are kinetically indistinguishable from each other.

Results from multiple-time graphical analysis (MTGA) and FUR represent (weighed) average of tissues inside the VOI. Tissue heterogeneity does not cause any bias.

Also regional SUV represents the non-biased average SUV of tissues inside the VOI. However, the optimal scan time for SUV calculation may change, and thus affect the results.

Measurement of tissue heterogeneity

Stochastic dynamic model has been proposed as one possibility to estimate mean compartmental model rate constants and their variance (Niemi et al., 2007). Considering also the image reconstruction error may further improve the tissue heterogeneity estimation (Forma et al., 2013).

Fractal analysis (FA) has been used in several PET and SPET studies to quantitate the distribution of blood flow in tissues (Kuikka et al., 1997; Nagao et al., 2001; Kalliokoski et al., 2001a; Kalliokoski et al., 2003b).

The simplest method to quantitate heterogeneity is the calculation of variance of voxel values inside a VOI drawn inside an organ. This method is naturally affected by all factors that affect the PET image quality, but it still provides meaningful results as long as the study protocol is exactly same for the whole study population. This method has been applied to the skeletal muscle (Kalliokoski et al., 2004; Laaksonen et al., 2010).

Tissue heterogeneity

See also:



References:

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Created at: 2014-05-07
Updated at: 2018-02-08
Written by: Vesa Oikonen