Parametric Mapping for TSPO PET Imaging with Spectral Analysis Impulsive Response Function.


Journal

Molecular imaging and biology
ISSN: 1860-2002
Titre abrégé: Mol Imaging Biol
Pays: United States
ID NLM: 101125610

Informations de publication

Date de publication:
08 2021
Historique:
received: 06 07 2020
accepted: 21 12 2020
revised: 27 11 2020
pubmed: 22 1 2021
medline: 15 2 2022
entrez: 21 1 2021
Statut: ppublish

Résumé

The aim of this study was to investigate the use of spectral analysis (SA) for voxel-wise analysis of TSPO PET imaging studies. TSPO PET quantification is methodologically complicated by the heterogeneity of TSPO expression and its cell-dependent modulation during neuroinflammatory response. Compartmental models to account for this complexity exist, but they are unreliable at the high noise typical of voxel data. On the contrary, SA is noise-robust for parametric mapping and provides useful information about tracer kinetics with a free compartmental structure. SA impulse response function (IRF) calculated at 90 min after tracer injection was used as main parameter of interest in 3 independent PET imaging studies to investigate its sensitivity to (1) a TSPO genetic polymorphism (rs6971) known to affect tracer binding in a cross-sectional analysis of healthy controls scanned with [11C]PBR28 PET; (2) TSPO density with [11C]PBR28 in a competitive blocking study with a TSPO blocker, XBD173; and (3) the higher affinity of a second radiotracer for TSPO, by using data from a head-to-head comparison between [11C]PBR28 and [11C]ER176 scans. SA-IRF produced parametric maps of visually good quality. These were sensitive to TSPO genotype (mean relative difference between high- and mixed-affinity binders = 25 %) and TSPO availability (mean signal displacement after 90 mg oral administration of XBD173 = 39 %). Regional averages of voxel-wise IRF estimates were strongly associated with regional total distribution volume (V SA-IRF can be used for voxel-wise quantification of TSPO PET data because it generates high-quality parametric maps, it is sensitive to TSPO availability and genotype, and it accounts for the complexity of TSPO tracer kinetics with no additional assumptions.

Identifiants

pubmed: 33475944
doi: 10.1007/s11307-020-01575-9
pii: 10.1007/s11307-020-01575-9
pmc: PMC8277653
doi:

Substances chimiques

Carbon Radioisotopes 0
N-benzyl-N-ethyl-2-(7,8-dihydro-7-methyl-8-oxo-2-phenyl-9H-purin-9-yl)acetamide 0
Purines 0
Receptors, GABA 0
TSPO protein, human 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

560-571

Subventions

Organisme : Medical Research Council
ID : MC_U120097115
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N027078/1
Pays : United Kingdom
Organisme : Department of Health
Pays : United Kingdom

Informations de copyright

© 2021. The Author(s).

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Auteurs

Mattia Veronese (M)

Department of Neuroimaging, IoPPN, King's College London, London, UK. mattia.veronese@kcl.ac.uk.

Marcello Tuosto (M)

Department of Information Engineering, Padova University, Padova, Italy.

Tiago Reis Marques (TR)

Department of Psychosis Studies, IoPPN, King's College London, London, UK.

Oliver Howes (O)

Department of Psychosis Studies, IoPPN, King's College London, London, UK.
MRC London Institute of Medical Sciences, Hammersmith Hospital, London, UK.
Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK.

Belen Pascual (B)

Nantz National Alzheimer Center and Houston Methodist Research Neurological Institute, and Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX, 77030, USA.

Meixiang Yu (M)

Nantz National Alzheimer Center and Houston Methodist Research Neurological Institute, and Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX, 77030, USA.

Joseph C Masdeu (JC)

Nantz National Alzheimer Center and Houston Methodist Research Neurological Institute, and Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX, 77030, USA.

Federico Turkheimer (F)

Department of Neuroimaging, IoPPN, King's College London, London, UK.

Alessandra Bertoldo (A)

Department of Information Engineering, Padova University, Padova, Italy.
Padova Neuroscience Centre, Padova University, Padova, Italy.

Paolo Zanotti-Fregonara (P)

Nantz National Alzheimer Center and Houston Methodist Research Neurological Institute, and Weill Cornell Medicine, 6670 Bertner Ave, Houston, TX, 77030, USA.

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Classifications MeSH