scholarly journals Parametric methods for [18F]flortaucipir PET

2018 ◽  
Vol 40 (2) ◽  
pp. 365-373 ◽  
Author(s):  
Sandeep SV Golla ◽  
Emma E Wolters ◽  
Tessa Timmers ◽  
Rik Ossenkoppele ◽  
Chris WJ van der Weijden ◽  
...  
Keyword(s):  
Specific Binding ◽  
Volume Ratio ◽  
Compartment Model ◽  
Volume Of Distribution ◽  
Distribution Volume ◽  
Binding Potential ◽  
Parametric Images ◽  
Distribution Volume Ratio ◽  
Pet Scans

[18F]Flortaucipir is a PET tau tracer used to visualize tau binding in Alzheimer’s disease (AD) in vivo. The present study evaluated the performance of several methods to obtain parametric images of [18F]flortaucipir. One hundred and thirty minutes dynamic PET scans were performed in 10 AD patients and 10 controls. Parametric images were generated using different linearization and basis function approaches. Regional binding potential (BPND) and volume of distribution (VT) values obtained from the parametric images were compared with corresponding values derived using the reversible two-tissue compartment model (2T4k_VB). Performance of SUVr parametric images was assessed by comparing values with distribution volume ratio (DVR) and SRTM-derived BPND estimates obtained using non-linear regression (NLR). Spectral analysis (SA) ( r2 = 0.92; slope = 0.99) derived VT correlated well with NLR-derived VT. RPM ( r2 = 0.95; slope = 0.98) derived BPND correlated well with NLR-derived DVR. Although SUVr80–100 min correlated well with NLR-derived DVR ( r2 = 0.91; slope = 1.09), bias in SUVr appeared to depend on uptake time and underlying level of specific binding. In conclusion, RPM and SA provide parametric images comparable to the NLR estimates. Individual SUVr values are biased compared with DVR and this bias requires further study in a larger dataset in order to understand its consequences.

scholarly journals Quantitative Analysis for Estimating Binding Potential of the Brain Serotonin Transporter with [11C]McN5652

2002 ◽  
Vol 22 (4) ◽  
pp. 490-501 ◽  
Author(s):  
Yoko Ikoma ◽  
Tetsuya Suhara ◽  
Hinako Toyama ◽  
Tetsuya Ichimiya ◽  
Akihiro Takano ◽  
...  
Keyword(s):  
Serotonin Transporter ◽  
Arterial Input Function ◽  
Volume Ratio ◽  
Least Square Method ◽  
Distribution Volume ◽  
Least Square ◽  
Binding Potential ◽  
Nonspecific Binding ◽  
Distribution Volume Ratio

[11C](+)McN5652 is a selective serotonin reuptake inhibitor with subnanomolar potency for the serotonin transporter, and is currently being used for positron emission tomography studies. However, quantification of the regional [11C](+)McN5652 binding potential in vivo is a controversial issue because of its complex characteristics. The authors examined the regional differences in nonspecific binding and proposed simple methods for estimating the binding potential of [11C](+)McN5652. The regional difference in nonspecific binding was evaluated by the activity ratio of the thalamus compared with the cerebellum for inactive-isomer [11C](−)McN5652 and [11C](+)McN5652 saturation studies. The distribution volume of the thalamus was approximately 1.16 times larger than that of the cerebellum. The thalamus-to-cerebellum distribution volume ratio was estimated by nonlinear least square and graphical methods, with and without arterial input function. The graphical method with k2′ without blood sampling was practical and most applicable for estimation of the distribution volume ratio because this method is more stable than the nonlinear least square method in the simulation study. Binding potential estimated with the distribution volume ratio of [11C](+)McN5652 and the correction with distribution volume ratio of [11C](−)McN5652 represent the most reliable parameters for the assessment of serotonin transporter binding.

scholarly journals In-vivo Measurement of LDOPA Uptake, Dopamine Reserve and Turnover in the Rat Brain Using [18F]FDOPA PET

2012 ◽  
Vol 33 (1) ◽  
pp. 59-66 ◽  
Author(s):  
Matthew D Walker ◽  
Katherine Dinelle ◽  
Rick Kornelsen ◽  
Siobhan McCormick ◽  
Chenoa Mah ◽  
...  
Keyword(s):  
Volume Ratio ◽  
Distribution Volume ◽  
Binding Potential ◽  
In Vivo Measurement ◽  
Longitudinal Measurements ◽  
Positron Emission ◽  
Distribution Volume Ratio ◽  
6 Hydroxydopamine ◽  
Effective Distribution

Longitudinal measurements of dopamine (DA) uptake and turnover in transgenic rodents may be critical when developing disease-modifying therapies for Parkinson's disease (PD). We demonstrate methodology for such measurements using [18F]fluoro-3,4-dihydroxyphenyl- L-alanine ([18F]FDOPA) positron emission tomography (PET). The method was applied to 6-hydroxydopamine lesioned rats, providing the first PET-derived estimates of DA turnover for this species. Control ( n = 4) and unilaterally lesioned ( n = 11) rats were imaged multiple times. Kinetic modeling was performed using extended Patlak, incorporating a kloss term for metabolite washout, and modified Logan methods. Dopaminergic terminal loss was measured via [11C]-(+)-dihydrotetrabenazine (DTBZ) PET. Clear striatal [18F]FDOPA uptake was observed. In the lesioned striatum the effective DA turnover increased, shown by a reduced effective distribution volume ratio ( EDVR) for [18F]FDOPA. Effective distribution volume ratio correlated ( r > 0.9) with the [11C]DTBZ binding potential ( BPND). The uptake and trapping rate ( kref) decreased after lesioning, but relatively less so than [11C]DTBZ BPND. For normal controls, striatal estimates were kref = 0.037 ± 0.005 per minute, EDVR = 1.07 ± 0.22 and kloss = 0.024 ± 0.003 per minute (30 minutes turnover half-time), with repeatability (coefficient of variation) ≤11%. [18F]fluoro-3,4-dihydroxyphenyl- L-alanine PET enables measurements of DA turnover in the rat, which is useful for developing novel therapies for PD.

scholarly journals The Pharmacokinetics of [18F]UCB-H Revisited in The Healthy Non-Human Primate Brain

2020 ◽  
Author(s):  
Sébastien Goutal ◽  
Martine Guillermier ◽  
Guillaume Becker ◽  
Mylène Gaudin ◽  
Yann Bramoullé ◽  
...  
Keyword(s):  
Slow Component ◽  
Specific Binding ◽  
Compartment Model ◽  
Brain Regions ◽  
Volume Of Distribution ◽  
Binding Potential ◽  
Pharmacokinetic Data ◽  
Limited Information ◽  
Human Primate

Abstract Background Positron Emission Tomography (PET) imaging of the Synaptic Vesicle glycoprotein (SV) 2A is a new tool to quantify synaptic density. [18F]UCB-H was one of the first promising SV2A-ligands to be labelled and used in vivo in rodent and human, while limited information on its pharmacokinetic properties is available in the non-human primate. Here, we aimed to characterize [18F]UCB-H in the non-human cynomolgus primate and to discuss the obtained results in the light of the current state of SV2A PET ligands.Results [18F]UCB-H pharmacokinetic data was optimally fitted with a two-compartment model (2TCM), even though a slow component led to instability for the estimation of k3 and k4, and hence the total volume of distribution. 2TCM with coupled fit K1/k2 across brain regions stabilized the quantification, and confirmed a lower non-displaceable binding potential, BPND (estimated by k3/k4), of [18F]UCB-H compared to the newest SV2A-ligands. However, the non-displaceable distribution volume (VND) and the influx parameter (K1) is similar to what has been reported for other SV2A ligands. These data were reinforced by displacement studies using [19F]UCB-H, demonstrating only 50 % displacement of the total [18F]UCB-H signal at maximal occupancy of SV2A. Conclusions Modeling issues with a 2TCM due to a slow component have previously been reported for other SV2A ligands with low specific binding, or after blocking of specific binding. As all SV2A ligands share chemical structural similarities, we hypothesize that this slow binding component is common for all SV2A ligands, but only hampers quantification when specific binding is low.

scholarly journals [18F]VUIIS1009B Features a Superior Imaging Performance to [18F]DPA-714 in TSPO Density Characterization for Neuroinflammatory PET Imaging

2020 ◽  
Author(s):  
Chen Huang ◽  
Fan Ding ◽  
Yong Hao ◽  
Zhoumi Hu ◽  
Cheng Wang ◽  
...  
Keyword(s):  
Pet Imaging ◽  
Rat Model ◽  
Density Measurement ◽  
Volume Ratio ◽  
Distribution Volume ◽  
Translocator Protein ◽  
Binding Potential ◽  
Great Promise ◽  
Parametric Images

Abstract Purpose: Translocator protein (TSPO), an outer mitochondrial membrane protein, is regarded as a key biomarker for neuroinflammation in a variety of neurodegenerative diseases. In this study, we aim to evaluate two highly specific TSPO radiotracers [18F]VUIIS1009A and [18F]VUIIS1009B in a mild cerebral ischemic rat model, and to compare their in vivo performance to the well-established TSPO probe [18F]DPA-714 for neuroinflammation imaging. With multiple graphic analytical methods tested and macro parameters determined, we propose to find a suitable and best quantification method to profile neuroinflammation and measure TSPO density with the three TSPO radiotracers.Methods: Cerebral ischemia rat model was created and imaged using [18F]VUIIS1009A, [18F]VUIIS1009B and [18F]DPA-714. Displacement studies using non-radioactive analogs were performed to evaluate the binding specificities of [18F]VUIIS1009A and [18F]VUIIS1009B individually. Imaging analysis using arterial plasma input functions (AIFs) was employed to generate Logan plots and parametric images of total distribution volume (VT) for each radiotracer. Reference Logan model using contralateral brain as a reference region was introduced to generate parametric images for binding potential (BPND). Results: When compared to [18F]DPA-714, [18F]VUIIS1009B demonstrated higher binding potential (BPND) and distribution volume ratio (DVR). Parameter images of BPND and VT also indicate [18F]VUIIS1009B has a superior imaging profile with higher BPND and DVR when compared with other two radiotracers in TSPO imaging. Correlation analysis between BPND for [18F]VUIIS1009B and [18F]DPA-714 also indicates [18F]VUIIS1009B is more sensitive than [18F]DPA-714 in TSPO density measurement.Conclusions: This study demonstrates the superiority of [18F]VUIIS1009B to [18F]VUIIS1009A and [18F]DPA-714 in the neuroinflammation imaging. It also demonstrates that [18F]VUIIS1009B PET imaging coupled with parameter mapping (VT and BPND) and graphic analysis using Logan analysis and reference Logan analysis holds great promise for neuroinflammation characterization and TSPO density measurement.

scholarly journals The pharmacokinetics of [18F]UCB-H revisited in the healthy non-human primate brain

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sébastien Goutal ◽  
Martine Guillermier ◽  
Guillaume Becker ◽  
Mylène Gaudin ◽  
Yann Bramoullé ◽  
...  
Keyword(s):  
Slow Component ◽  
Specific Binding ◽  
Compartment Model ◽  
Brain Regions ◽  
Volume Of Distribution ◽  
Pharmacokinetic Data ◽  
Limited Information ◽  
Positron Emission ◽  
Human Primate

Abstract Background Positron Emission Tomography (PET) imaging of the Synaptic Vesicle glycoprotein (SV) 2A is a new tool to quantify synaptic density. [18F]UCB-H was one of the first promising SV2A-ligands to be labelled and used in vivo in rodent and human, while limited information on its pharmacokinetic properties is available in the non-human primate. Here, we evaluate the reliability of the three most commonly used modelling approaches for [18F]UCB-H in the non-human cynomolgus primate, adding the coupled fit of the non-displaceable distribution volume (VND) as an alternative approach to improve unstable fit. The results are discussed in the light of the current state of SV2A PET ligands. Results [18F]UCB-H pharmacokinetic data was optimally fitted with a two-compartment model (2TCM), although the model did not always converge (large total volume of distribution (VT) or large uncertainty of the estimate). 2TCM with coupled fit K1/k2 across brain regions stabilized the quantification, and confirmed a lower specific signal of [18F]UCB-H compared to the newest SV2A-ligands. However, the measures of VND and the influx parameter (K1) are similar to what has been reported for other SV2A ligands. These data were reinforced by displacement studies using [19F]UCB-H, demonstrating only 50% displacement of the total [18F]UCB-H signal at maximal occupancy of SV2A. As previously demonstrated in clinical studies, the graphical method of Logan provided a more robust estimate of VT with only a small bias compared to 2TCM. Conclusions Modeling issues with a 2TCM due to a slow component have previously been reported for other SV2A ligands with low specific binding, or after blocking of specific binding. As all SV2A ligands share chemical structural similarities, we hypothesize that this slow binding component is common for all SV2A ligands, but only hampers quantification when specific binding is low.

scholarly journals Quantitation of Translocator Protein Binding in Human Brain with the Novel Radioligand [18F]-FEPPA and Positron Emission Tomography

2011 ◽  
Vol 31 (8) ◽  
pp. 1807-1816 ◽  
Author(s):  
Pablo M Rusjan ◽  
Alan A Wilson ◽  
Peter M Bloomfield ◽  
Irina Vitcu ◽  
Jeffrey H Meyer ◽  
...  
Keyword(s):  
Positron Emission Tomography ◽  
Human Brain ◽  
Specific Binding ◽  
Compartment Model ◽  
Distribution Volume ◽  
Translocator Protein ◽  
Emission Tomography ◽  
Binding Potential ◽  
Specific Distribution ◽  
Positron Emission

This article describes the kinetic modeling of [18F]-FEPPA binding to translocator protein 18 kDa in the human brain using high-resolution research tomograph (HRRT) positron emission tomography. Positron emission tomography scans were performed in 12 healthy volunteers for 180 minutes. A two-tissue compartment model (2-CM) provided, with no exception, better fits to the data than a one-tissue model. Estimates of total distribution volume ( VT), specific distribution volume ( VS), and binding potential ( BPND) demonstrated very good identifiability (based on coefficient of variation ( COV)) for all the regions of interest (ROIs) in the gray matter ( COV VT < 7%, COV VS < 8%, COV BPND < 11%). Reduction of the length of the scan to 2 hours is feasible as VS and VT showed only a small bias (6% and 7.5%, respectively). Monte Carlo simulations showed that, even under conditions of a 500% increase in specific binding, the identifiability of VT and VS was still very good with COV<10%, across high-uptake ROIs. The excellent identifiability of VT values obtained from an unconstrained 2-CM with data from a 2-hour scan support the use of VT as an appropriate and feasible outcome measure for [18F]-FEPPA.

scholarly journals 18F-VUIIS1009B Features a Superior Imaging Performance to 18F-DPA-714 in TSPO Density Characterization for Neuroinflammatory PET Imaging

2020 ◽  
Author(s):  
Chen Huang ◽  
Fan Ding ◽  
Zhoumi Hu ◽  
Mengxin Wang ◽  
Wenxian Peng ◽  
...  
Keyword(s):  
Pet Imaging ◽  
Rat Model ◽  
Density Measurement ◽  
Distribution Volume ◽  
Translocator Protein ◽  
Binding Potential ◽  
Great Promise ◽  
Parametric Images

Abstract Purpose Translocator protein (TSPO), an out-mitochondrial membrane protein, is regarded as a key biomarker for neuroinflammation in a variety of neurodegenerative diseases. In this study, we aim to evaluate two highly specific TSPO radiotracers 18F-VUIIS1009A and 18F-VUIIS1009B in a mild cerebral ischemic rat model, and to compare their in vivo performance to the well-established TSPO probe 18F-DPA-714 for neuroinflammation imaging. With multiple graphic analytical methods tested and macro parameters determined, we propose to find a suitable and best quantification method to profile neuroinflammation and measure TSPO density with the three TSPO radiotracers. Methods Cerebral ischemia rat model was created and imaged using 18F-VUIIS1009A, 18F-VUIIS1009B and 18F-DPA-714. Displacement studies using cold analogs were performed to evaluate the binding specificities of 18F-VUIIS1009A and 18F-VUIIS1009B individually. Imaging analysis using arterial plasma input functions (AIFs) was employed to generate Logan plots and parametric images of total distribution volume (VT) for each radiotracer. Reference Logan model using healthy brain as a reference region was introduced to generate parametric images for binding potential (BPND). Results When compared to 18F-DPA-714, 18F-VUIIS1009B demonstrated higher in vitro binding specificity, binding potential (BPND) and distribution volume ratio (DVR). Parameter images of BPND and VT also indicate 18F-VUIIS1009B has a superior imaging profile when compared with other two radiotracers in TSPO imaging. Correlation analysis between BPND for 18F-VUIIS1009B and 18F-DPA-714 also indicates 18F-VUIIS1009B is more sensitive than 18F-DPA-714 in TSPO density measurement. Conclusions This study demonstrates the superiority of 18F-VUIIS1009B to 18F-VUIIS1009A and 18F-DPA-714 in the neuroinflammation imaging. It also demonstrates that 18F-VUIIS1009B PET imaging coupled with parameter mapping (VT and BPND) and graphic analysis holds great promise for neuroinflammation characterization and TSPO density measurement.

scholarly journals The Use of Alternative Forms of Graphical Analysis to Balance Bias and Precision in PET Images

2010 ◽  
Vol 31 (2) ◽  
pp. 535-546 ◽  
Author(s):  
Jean Logan ◽  
David Alexoff ◽  
Joanna S Fowler
Keyword(s):  
Volume Ratio ◽  
Image Data ◽  
Compartment Model ◽  
Graphical Analysis ◽  
Distribution Volume ◽  
Good Precision ◽  
Reference Tissue ◽  
Positron Emission ◽  
Distribution Volume Ratio ◽  
Uptake Data

Graphical analysis (GA) is an efficient method for estimating total tissue distribution volume ( VT) from positron emission tomography (PET) uptake data. The original GA produces a negative bias in VT in the presence of noise. Estimates of VT using other GA forms have less bias but less precision. Here, we show how the bias terms are related between the GA methods and how using an instrumental variable (IV) can also reduce bias. Results are based on simulations of a two-compartment model with VT's ranging from 10.5 to 64 mL/cm3 and from PET image data with the tracer [11C]DASB ([11C]-3-amino-4-(2-dimethylaminomethyl-phenylsulfanyl) benzonitrile). Four estimates of VT (or distribution volume ratio (DVR) using a reference tissue) can be easily computed from different formulations of GA including the IV. As noise affects the estimates from all four differently, they generally do not provide the same estimates. By taking the median value of the four estimates, we can decrease the bias and reduce the effect of large values contributing to noisy images. The variance of the four estimates can serve as a guide to the reliability of the median estimate. This may provide a general method for the generation of parametric images with little bias and good precision.

scholarly journals The P2X7 receptor tracer [11C]SMW139 as an in vivo marker of neuroinflammation in multiple sclerosis: a first-in man study

2019 ◽  
Vol 47 (2) ◽  
pp. 379-389 ◽  
Author(s):  
Marloes H. J. Hagens ◽  
Sandeep S. V. Golla ◽  
Bieneke Janssen ◽  
Danielle J. Vugts ◽  
Wissam Beaino ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Specific Binding ◽  
Compartment Model ◽  
Brain Regions ◽  
Binding Potential ◽  
Healthy Controls ◽  
Time Activity ◽  
Tissue Compartment ◽  
Pet Tracer

Abstract Purpose The novel PET tracer [11C]SMW139 binds with high affinity to the P2X7 receptor, which is expressed on pro-inflammatory microglia. The purposes of this first in-man study were to characterise pharmacokinetics of [11C]SMW139 in patients with active relapsing remitting multiple sclerosis (RRMS) and healthy controls (HC) and to evaluate its potential to identify in vivo neuroinflammation in RRMS. Methods Five RRMS patients and 5 age-matched HC underwent 90-min dynamic [11C]SMW139 PET scans, with online continuous and manual arterial sampling to generate a metabolite-corrected arterial plasma input function. Tissue time activity curves were fitted to single- and two-tissue compartment models, and the model that provided the best fits was determined using the Akaike information criterion. Results The optimal model for describing [11C]SMW139 kinetics in both RRMS and HC was a reversible two-tissue compartment model with blood volume parameter and with the dissociation rate k4 fixed to the whole-brain value. Exploratory group level comparisons demonstrated an increased volume of distribution (VT) and binding potential (BPND) in RRMS compared with HC in normal appearing brain regions. BPND in MS lesions was decreased compared with non-lesional white matter, and a further decrease was observed in gadolinium-enhancing lesions. In contrast, increased VT was observed in enhancing lesions, possibly resulting from disruption of the blood-brain barrier in active MS lesions. In addition, there was a high correlation between parameters obtained from 60- to 90-min datasets, although analyses using 60-min data led to a slight underestimation in regional VT and BPND values. Conclusions This first in-man study demonstrated that uptake of [11C]SMW139 can be quantified with PET using BPND as a measure for specific binding in healthy controls and RRMS patients. Additional studies are warranted for further clinical evaluation of this novel neuroinflammation tracer.

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