Literature DB >> 25873424

Improved models for plasma radiometabolite correction and their impact on kinetic quantification in PET studies.

Matteo Tonietto1, Mattia Veronese1,2, Gaia Rizzo1, Paolo Zanotti-Fregonara3,4, Talakad G Lohith3, Masahiro Fujita3, Sami S Zoghbi3, Alessandra Bertoldo1.   

Abstract

The quantification of dynamic positron emission tomography studies performed with arterial sampling usually requires correcting the input function for the presence of radiometabolites by using a model of the plasma parent fraction (PPf). Here, we show how to include the duration of radioligand injection in the PPf model formulations to achieve a more physiologic description of the plasma measurements. This formulation (here called convoluted model) was tested on simulated data and on three datasets with different parent kinetics: [(11)C]NOP-1A, [(11)C]MePPEP, and [(11)C](R)-rolipram. Results showed that convoluted PPf models better described the fraction of unchanged parent in the plasma compared with standard models for all three datasets (weighted residuals sum of squares up to 25% lower). When considering the effect on tissue quantification, the overall impact on the total volume of distribution (VT) was low. However, the impact was significant and radioligand-dependent on the binding potential (BP) and the microparameters (K1, k2, k3, and k4). Simulated data confirmed that quantification is sensitive to different degrees to PPf model misspecification. Including the injection duration allows obtaining a more accurate correction of the input function for the presence of radiometabolites and this yields a more reliable quantification of the tissue parameters.

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Year:  2015        PMID: 25873424      PMCID: PMC4640335          DOI: 10.1038/jcbfm.2015.61

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  23 in total

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Journal:  J Cereb Blood Flow Metab       Date:  1997-04       Impact factor: 6.200

4.  PET studies of binding competition between endogenous dopamine and the D1 radiotracer [11C]NNC 756.

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6.  Metabolite considerations in the in vivo quantification of serotonin transporters using 11C-DASB and PET in humans.

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Journal:  J Nucl Med       Date:  2006-11       Impact factor: 10.057

7.  Quantification of cerebral A1 adenosine receptors in humans using [18F]CPFPX and PET.

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Journal:  J Cereb Blood Flow Metab       Date:  2004-03       Impact factor: 6.200

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Journal:  J Nucl Med       Date:  2006-03       Impact factor: 10.057

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  7 in total

Review 1.  Plasma radiometabolite correction in dynamic PET studies: Insights on the available modeling approaches.

Authors:  Matteo Tonietto; Gaia Rizzo; Mattia Veronese; Masahiro Fujita; Sami S Zoghbi; Paolo Zanotti-Fregonara; Alessandra Bertoldo
Journal:  J Cereb Blood Flow Metab       Date:  2015-10-14       Impact factor: 6.200

2.  Pixel-based approach to assess contrast-enhanced ultrasound kinetics parameters for differential diagnosis of rheumatoid arthritis.

Authors:  Gaia Rizzo; Bernd Raffeiner; Alessandro Coran; Luca Ciprian; Ugo Fiocco; Costantino Botsios; Roberto Stramare; Enrico Grisan
Journal:  J Med Imaging (Bellingham)       Date:  2015-09-11

3.  Kinetic modelling of [11C]PBR28 for 18 kDa translocator protein PET data: A validation study of vascular modelling in the brain using XBD173 and tissue analysis.

Authors:  Mattia Veronese; Tiago Reis Marques; Peter S Bloomfield; Gaia Rizzo; Nisha Singh; Deborah Jones; Erjon Agushi; Dominic Mosses; Alessandra Bertoldo; Oliver Howes; Federico Roncaroli; Federico E Turkheimer
Journal:  J Cereb Blood Flow Metab       Date:  2017-06-05       Impact factor: 6.200

4.  Measuring specific receptor binding of a PET radioligand in human brain without pharmacological blockade: The genomic plot.

Authors:  Mattia Veronese; Paolo Zanotti-Fregonara; Gaia Rizzo; Alessandra Bertoldo; Robert B Innis; Federico E Turkheimer
Journal:  Neuroimage       Date:  2016-02-02       Impact factor: 6.556

5.  PET imaging shows no changes in TSPO brain density after IFN-α immune challenge in healthy human volunteers.

Authors:  M A Nettis; M Veronese; N Nikkheslat; N Mariani; G Lombardo; L Sforzini; D Enache; N A Harrison; F E Turkheimer; V Mondelli; C M Pariante
Journal:  Transl Psychiatry       Date:  2020-03-09       Impact factor: 6.222

6.  Specific and non-specific binding of a tracer for the translocator-specific protein in schizophrenia: an [11C]-PBR28 blocking study.

Authors:  Tiago Reis Marques; Mattia Veronese; David R Owen; Eugenii A Rabiner; Graham E Searle; Oliver D Howes
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-04-06       Impact factor: 9.236

7.  GABA-A receptor differences in schizophrenia: a positron emission tomography study using [11C]Ro154513.

Authors:  Tiago Reis Marques; Abhishekh H Ashok; Ilinca Angelescu; Faith Borgan; Jim Myers; Anne Lingford-Hughes; David J Nutt; Mattia Veronese; Federico E Turkheimer; Oliver D Howes
Journal:  Mol Psychiatry       Date:  2020-04-15       Impact factor: 13.437

  7 in total

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