Literature DB >> 24629308

Kinetic modeling in pre-clinical positron emission tomography.

Claudia Kuntner1.   

Abstract

Pre-clinical positron emission tomography (PET) has evolved in the last few years from pure visualization of radiotracer uptake and distribution towards quantification of the physiological parameters. For reliable and reproducible quantification the kinetic modeling methods used to obtain relevant parameters of radiotracer tissue interaction are important. Here we present different kinetic modeling techniques with a focus on compartmental models including plasma input models and reference tissue input models. The experimental challenges off deriving the plasma input function in rodents and the effect of anesthesia are discussed. Finally, in vivo application of kinetic modeling in various areas of pre-clinical research is presented and compared to human data.
Copyright © 2014. Published by Elsevier GmbH.

Entities:  

Keywords:  Kompartiment-Modelle; Plasma-Input-Modelle; Positron emission tomography (PET); Positronen-Emissions-Tomographie (PET); Quantifizierung; Referenzregion-Modelle; compartmental models; kinetic modeling; kinetische Modellierung; plasma input models; quantification; reference tissue input models

Mesh:

Substances:

Year:  2014        PMID: 24629308     DOI: 10.1016/j.zemedi.2014.02.003

Source DB:  PubMed          Journal:  Z Med Phys        ISSN: 0939-3889            Impact factor:   4.820


  3 in total

1.  GABAA Receptors in the Mongolian Gerbil: a PET Study Using [18F]Flumazenil to Determine Receptor Binding in Young and Old Animals.

Authors:  M Kessler; M Mamach; R Beutelmann; M Lukacevic; S Eilert; P Bascuñana; A Fasel; F M Bengel; J P Bankstahl; T L Ross; G M Klump; G Berding
Journal:  Mol Imaging Biol       Date:  2020-04       Impact factor: 3.488

Review 2.  A philosophy for CNS radiotracer design.

Authors:  Genevieve C Van de Bittner; Emily L Ricq; Jacob M Hooker
Journal:  Acc Chem Res       Date:  2014-10-01       Impact factor: 22.384

3.  Imaging of glucose metabolism by 13C-MRI distinguishes pancreatic cancer subtypes in mice.

Authors:  Shun Kishimoto; Jeffrey R Brender; Daniel R Crooks; Shingo Matsumoto; Tomohiro Seki; Nobu Oshima; Hellmut Merkle; Penghui Lin; Galen Reed; Albert P Chen; Jan Henrik Ardenkjaer-Larsen; Jeeva Munasinghe; Keita Saito; Kazutoshi Yamamoto; Peter L Choyke; James Mitchell; Andrew N Lane; Teresa Wm Fan; W Marston Linehan; Murali C Krishna
Journal:  Elife       Date:  2019-08-13       Impact factor: 8.140

  3 in total

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