Literature DB >> 1908103

Modelling approach for separating blood time-activity curves in positron emission tomographic studies.

S C Huang1, J R Barrio, D C Yu, B Chen, S Grafton, W P Melega, J M Hoffman, N Satyamurthy, J C Mazziotta, M E Phelps.   

Abstract

A modelling approach is developed to generate the full time course of an injected radiotracer and its labelled metabolites in plasma/blood, based on measurements of the total radioactivities in withdrawn plasma/blood samples. A compartmental model is used to describe the conversion of an injected tracer to its metabolites in the body. The model equation is formulated with the total radioactivity concentration curve as the input function. The utility and characteristics of the approach in quantitative positron emission tomographic (PET) studies are shown with two examples. In the first example, using the tracer 6-[18F]fluoro-L-dopa (FDOPA), the approach is shown to derive the full time course of plasma FDOPA and its metabolites. In the second example of dynamic 15O oxygen PET, the approach is used to solve a deconvolution problem to give separated time-activity curves of 15O oxygen and 15O water in blood. The modelling approach improves the separation of blood/plasma time-activity curves and leads to better quantitative interpretation of PET results.

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Year:  1991        PMID: 1908103     DOI: 10.1088/0031-9155/36/6/004

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  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.  Cross-validation of input functions obtained by H₂ 15O PET imaging of rat heart and a blood flow-through detector.

Authors:  Nobuyuki Kudomi; Hannu Sipilä; Anu Autio; Vesa Oikonen; Heidi Liljenbäck; Miikka Tarkia; Jarno Laivola; Jarkko Johansson; Mika Teräs; Anne Roivainen
Journal:  Mol Imaging Biol       Date:  2012-08       Impact factor: 3.488

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

Authors:  Matteo Tonietto; Mattia Veronese; Gaia Rizzo; Paolo Zanotti-Fregonara; Talakad G Lohith; Masahiro Fujita; Sami S Zoghbi; Alessandra Bertoldo
Journal:  J Cereb Blood Flow Metab       Date:  2015-04-15       Impact factor: 6.200

4.  ¹⁸F-FLT    and ¹⁸F-FDOPA PET kinetics in recurrent brain tumors.

Authors:  Mirwais Wardak; Christiaan Schiepers; Timothy F Cloughesy; Magnus Dahlbom; Michael E Phelps; Sung-Cheng Huang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-03-07       Impact factor: 9.236

5.  Impact of point-spread function reconstruction on dynamic and static 18F-DOPA PET/CT quantitative parameters in glioma.

Authors:  Antoine Girard; Madani François; Nibras Chaboub; Pierre-Jean Le Reste; Anne Devillers; Hervé Saint-Jalmes; Florence Le Jeune; Xavier Palard-Novello
Journal:  Quant Imaging Med Surg       Date:  2022-02

6.  Optimization of time frame binning for FDOPA uptake quantification in glioma.

Authors:  Antoine Girard; Hervé Saint-Jalmes; Nibras Chaboub; Pierre-Jean Le Reste; Alice Metais; Anne Devillers; Florence Le Jeune; Xavier Palard-Novello
Journal:  PLoS One       Date:  2020-04-22       Impact factor: 3.240

7.  Additive Value of Dynamic FDOPA PET/CT for Glioma Grading.

Authors:  Antoine Girard; Pierre-Jean Le Reste; Alice Metais; Nibras Chaboub; Anne Devillers; Hervé Saint-Jalmes; Florence Le Jeune; Xavier Palard-Novello
Journal:  Front Med (Lausanne)       Date:  2021-07-09
  7 in total

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