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Longitudinal mouse-PET imaging: a reliable method for estimating binding parameters without a reference region or blood sampling.
Wimberley, Catriona; Nguyen, Duc Loc; Truillet, Charles; Peyronneau, Marie-Anne; Gulhan, Zuhal; Tonietto, Matteo; Boumezbeur, Fawzi; Boisgard, Raphael; Chalon, Sylvie; Bouilleret, Viviane; Buvat, Irène.
Afiliação
  • Wimberley C; Laboratoire d'Imagerie Moléculaire In Vivo (IMIV), Université Paris-Saclay, Inserm, CNRS, CEA, Orsay, France. catriona.wimberley@gmail.com.
  • Nguyen DL; Edinburgh Imaging Facility, QMRI, The University of Edinburgh, Chancellor's building, 49 Little France Crescent, BioQuarter, Edinburgh, EH164SB, UK. catriona.wimberley@gmail.com.
  • Truillet C; Laboratoire d'Imagerie Moléculaire In Vivo (IMIV), Université Paris-Saclay, Inserm, CNRS, CEA, Orsay, France.
  • Peyronneau MA; Laboratoire d'Imagerie Moléculaire In Vivo (IMIV), Université Paris-Saclay, Inserm, CNRS, CEA, Orsay, France.
  • Gulhan Z; Laboratoire d'Imagerie Moléculaire In Vivo (IMIV), Université Paris-Saclay, Inserm, CNRS, CEA, Orsay, France.
  • Tonietto M; UMR 1253, iBrain, Inserm, Université de Tours, Tours, France.
  • Boumezbeur F; Institut du Cerveau et de la Moelle épinière (ICM), Hôpital de la Pitié Salpêtrière, Paris, France.
  • Boisgard R; NeuroSpin, CEA, CNRS, Université Paris-Saclay, Gif-sur-Yvette, France.
  • Chalon S; Laboratoire d'Imagerie Moléculaire In Vivo (IMIV), Université Paris-Saclay, Inserm, CNRS, CEA, Orsay, France.
  • Bouilleret V; UMR 1253, iBrain, Inserm, Université de Tours, Tours, France.
  • Buvat I; Laboratoire d'Imagerie Moléculaire In Vivo (IMIV), Université Paris-Saclay, Inserm, CNRS, CEA, Orsay, France.
Eur J Nucl Med Mol Imaging ; 47(11): 2589-2601, 2020 10.
Article em En | MEDLINE | ID: mdl-32211931
ABSTRACT
Longitudinal mouse PET imaging is becoming increasingly popular due to the large number of transgenic and disease models available but faces challenges. These challenges are related to the small size of the mouse brain and the limited spatial resolution of microPET scanners, along with the small blood volume making arterial blood sampling challenging and impossible for longitudinal studies. The ability to extract an input function directly from the image would be useful for quantification in longitudinal small animal studies where there is no true reference region available such as TSPO imaging.

METHODS:

Using dynamic, whole-body 18F-DPA-714 PET scans (60 min) in a mouse model of hippocampal sclerosis, we applied a factor analysis (FA) approach to extract an image-derived input function (IDIF). This mouse-specific IDIF was then used for 4D-resolution recovery and denoising (4D-RRD) that outputs a dynamic image with better spatial resolution and noise properties, and a map of the total volume of distribution (VT) was obtained using a basis function approach in a total of 9 mice with 4 longitudinal PET scans each. We also calculated percent injected dose (%ID) with and without 4D-RRD. The VT and %ID parameters were compared to quantified ex vivo autoradiography using regional correlations of the specific binding from autoradiography against VT and %ID parameters.

RESULTS:

The peaks of the IDIFs were strongly correlated with the injected dose (Pearson R = 0.79). The regional correlations between the %ID estimates and autoradiography were R = 0.53 without 4D-RRD and 0.72 with 4D-RRD over all mice and scans. The regional correlations between the VT estimates and autoradiography were R = 0.66 without 4D-RRD and 0.79 with application of 4D-RRD over all mice and scans.

CONCLUSION:

We present a FA approach for IDIF extraction which is robust, reproducible and can be used in quantification methods for resolution recovery, denoising and parameter estimation. We demonstrated that the proposed quantification method yields parameter estimates closer to ex vivo measurements than semi-quantitative methods such as %ID and is immune to tracer binding in tissue unlike reference tissue methods. This approach allows for accurate quantification in longitudinal PET studies in mice while avoiding repeated blood sampling.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Tomografia por Emissão de Pósitrons Tipo de estudo: Observational_studies / Prognostic_studies Limite: Animals Idioma: En Revista: Eur J Nucl Med Mol Imaging Assunto da revista: MEDICINA NUCLEAR Ano de publicação: 2020 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Tomografia por Emissão de Pósitrons Tipo de estudo: Observational_studies / Prognostic_studies Limite: Animals Idioma: En Revista: Eur J Nucl Med Mol Imaging Assunto da revista: MEDICINA NUCLEAR Ano de publicação: 2020 Tipo de documento: Article País de afiliação: França