Calculation of Patlak plot for regional TACs with plasma input
Multiple-time graphical analysis (MTGA) for irreversible uptake (Patlak plot) with plasma input is used to estimate tracer net uptake (influx) rate of the PET tracer, Ki, and possibly also metabolic rate (MR) of glucose, fatty acids, or other natural substrates.
First step in the analysis is the preprocessing of plasma input curve. The procedure is dependent on the radiotracer and study protocol. Generalized instructions on the preparation of input curves is given here. MTGA is considered to be robust enough not to require (usually) corrections for time delay or vascular volume fraction.
As an alternative to Carimas, Patlak plot can also be calculated using in-house command-line tools:
2. Preparation of regional tissue TAC data
Save the regional TAC files in the image analysis program, in DFT format with Carimas, or in TAC format in PMOD. Calculate averages over planes and regions if needed; this can also be done inside Carimas.
In brain [18F]FDOPA studies with plasma input you must first subtract the reference tissue TAC from the other regional TACs.
Myocardial regional data can be corrected for recovery and spillover before calculating Patlak plot.
3. Computing the net uptake rate (Ki)
The patlak program can then be run with (at least) the following command-line parameters:
- regional tissue TAC file
- file name of (metabolite corrected) plasma TAC
- start time for the line fit (time where linear phase starts)
- end time for the line fit (time where linear phase ends, or end time of study)
- name for result file
Control the linearity of plots
MTGA methods produce correct results only if the slope is calculated from the linear phase of the plot, excluding the curvature in the beginning. You should always draw the Patlak plots and control the linearity and quality of the data visually.
If only late PET scan is available, then fractional uptake rate
(FUR) can be calculated by assuming that the y axis intercept in the graphical analysis
goes through zero. However, if a population average of intercept is known, then it can be set in
patlak with option
If trapping of the tracer is not completely irreversible during the PET scan the Patlak plot tends to curve downwards in the end. In that case the loss rate (kb or kLOSS) of the tracer from the irreversible compartment to blood could also be estimated, if the loss rate is much smaller than the other parameters of the model (Patlak & Blasberg, 1985), i.e. kLOSS << Ki. However, when any downward curvature in the Patlak plots is observed, it may be more appropriate to select another analysis method designed for reversible uptake.
Calculation of metabolic rate from Ki
Metabolic rates could be calculated "manually" from the Ki, for example, by importing Patlak result files into Excel, where Ki values are multiplied by plasma concentration of the native substrate (for example glucose) and divided by lumped constant (LC), and divided by tissue density (g/mL), if results are required per mass of tissue.
Computing Ki and metabolic rate at the same time
Specify the plasma concentration of native substrate, the
lumped constant (LC), and the tissue density
on the patlak command-line using options
Patlak program then writes both Ki and MR values in the
The units of Ki are (mL plasma)*(mL tissue)-1*min-1.
LC is unitless. The units of plasma glucose concentration are (usually) mM, which is equal to mmol/L and µmol/mL. Therefore, initially, the units of metabolic rate of glucose (glucose consumption) is (µmol glucose)*(mL tissue)-1*min-1. If these results are divided by tissue density, (g tissue)*(mL tissue)-1, and multiplied by 100, the unit is converted to (µmol glucose)*(100 g tissue)-1*min-1, which is the most common unit for tissue glucose consumption in literature.
- Patlak plot using reference region input
- Calculation of Patlak plot for images
- Correcting regional myocardial data for recovery and spillover
- Fractional Uptake Rate (FUR)
- Calculation of regional FUR
- Multilinear method to calculate Ki using lhsolki
- Estimating KLOSS and Ki
Logan J. Graphical analysis of PET data applied to reversible and irreversible tracers. Nucl Med Biol. 2000; 27: 661-670. doi: 10.1016/S0969-8051(00)00137-2.
Logan J. A review of graphical methods for tracer studies and strategies to reduce bias. Nucl Med Biol. 2003; 30: 833–844. doi: 10.1016/S0969-8051(03)00114-8.
Patlak CS, Blasberg RG. Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Generalizations. J Cereb Blood Flow Metab. 1985; 5: 584-590. doi: 10.1038/jcbfm.1985.87.
Updated at: 2009-05-16
Written by: Vesa Oikonen