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Kinetic Modelling and Test-Retest Reproducibility for the Dopamine D1R Radioligand [11C]SCH23390 in Healthy and Diseased Mice.
Bertoglio, Daniele; Verhaeghe, Jeroen; Miranda, Alan; Wyffels, Leonie; Stroobants, Sigrid; Dominguez, Celia; Munoz-Sanjuan, Ignacio; Skinbjerg, Mette; Liu, Longbin; Staelens, Steven.
Afiliação
  • Bertoglio D; Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium.
  • Verhaeghe J; Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium.
  • Miranda A; Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium.
  • Wyffels L; Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium.
  • Stroobants S; Department of Nuclear Medicine, Antwerp University Hospital, Edegem, Belgium.
  • Dominguez C; Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium.
  • Munoz-Sanjuan I; Department of Nuclear Medicine, Antwerp University Hospital, Edegem, Belgium.
  • Skinbjerg M; CHDI Management/CHDI Foundation, Los Angeles, CA, USA.
  • Liu L; CHDI Management/CHDI Foundation, Los Angeles, CA, USA.
  • Staelens S; CHDI Management/CHDI Foundation, Los Angeles, CA, USA.
Mol Imaging Biol ; 23(2): 208-219, 2021 04.
Article em En | MEDLINE | ID: mdl-33179158
PURPOSE: Our aim in this study was to compare different non-invasive pharmacokinetic models and assess test-retest reproducibility of the radioligand [11C]SCH23390 for the quantification of dopamine D1-like receptor (D1R) in both wild-type (WT) mice and heterozygous (HET) Q175DN mice as Huntington's disease (HD) model. PROCEDURES: Adult WT (n = 9) and HET (n = 14) mice underwent a 90-min [11C]SCH23390 positron emission tomography (PET) scan followed by computed tomography (CT) to evaluate the pharmacokinetic modelling in healthy and diseased conditions. Additionally, 5 WT mice and 7 HET animals received a second [11C]SCH23390 PET scan for test-retest reproducibility. Parallel assessment of the simplified reference tissue model (SRTM), the multilinear reference tissue model (MRTM) and the Logan reference tissue model (Logan Ref) using the striatum as a receptor-rich region and the cerebellum as a receptor-free (reference) region was performed to define the most suitable method for regional- and voxel-based quantification of the binding potential (BPND). Finally, standardised uptake value ratio (SUVR-1) was assessed as a potential simplified measurement. RESULTS: For all models, we measured a significant decline in dopamine D1R density (e.g. SRTM = - 38.5 ± 5.0 %, p < 0.0001) in HET mice compared to WT littermates. Shortening the 90-min scan duration resulted in large underestimation of striatal BPND in both WT mice (SRTM 60 min: - 17.7 ± 2.8 %, p = 0.0078) and diseased HET (SRTM 60 min: - 13.1 ± 4.1 %, p = 0.0001). Striatal BPND measurements were very reproducible with an average test-retest variability below 5 % when using both MRTM and SRTM. Parametric BPND maps generated with SRTM were highly reliable, showing nearly perfect agreement to the regional analysis (r2 = 0.99, p < 0.0001). Finally, SRTM provided the most accurate estimate for relative tracer delivery R1 with both regional- and voxel-based analyses. SUVR-1 at different time intervals were not sufficiently reliable when compared to BPND (r2 < 0.66). CONCLUSIONS: Ninety-minute acquisition and the use of SRTM for pharmacokinetic modelling is recommended. [11C]SCH23390 PET imaging demonstrates optimal characteristics for the study of dopamine D1R density in models of psychiatric and neurological disorders as exemplified in the Q175DN mouse model of HD.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Benzazepinas / Encéfalo / Receptores de Dopamina D1 / Doença de Huntington / Tomografia por Emissão de Pósitrons / Imagem Molecular Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Benzazepinas / Encéfalo / Receptores de Dopamina D1 / Doença de Huntington / Tomografia por Emissão de Pósitrons / Imagem Molecular Idioma: En Ano de publicação: 2021 Tipo de documento: Article