Reduced acquisition time PET pharmacokinetic modelling using simultaneous ASL-MRI: proof of concept.
J Cereb Blood Flow Metab
; 39(12): 2419-2432, 2019 12.
Article
en En
| MEDLINE
| ID: mdl-30182792
Pharmacokinetic modelling on dynamic positron emission tomography (PET) data is a quantitative technique. However, the long acquisition time is prohibitive for routine clinical use. Instead, the semi-quantitative standardised uptake value ratio (SUVR) from a shorter static acquisition is used, despite its sensitivity to blood flow confounding longitudinal analysis. A method has been proposed to reduce the dynamic acquisition time for quantification by incorporating cerebral blood flow (CBF) information from arterial spin labelling (ASL) magnetic resonance imaging (MRI) into the pharmacokinetic modelling. In this work, we optimise and validate this framework for a study of ageing and preclinical Alzheimer's disease. This methodology adapts the simplified reference tissue model (SRTM) for a reduced acquisition time (RT-SRTM) and is applied to [18F]-florbetapir PET data for amyloid-ß quantification. Evaluation shows that the optimised RT-SRTM can achieve amyloid burden estimation from a 30-min PET/MR acquisition which is comparable with the gold standard SRTM applied to 60 min of PET data. Conversely, SUVR showed a significantly higher error and bias, and a statistically significant correlation with tracer delivery due to the influence of blood flow. The optimised RT-SRTM produced amyloid burden estimates which were uncorrelated with tracer delivery indicating its suitability for longitudinal studies.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Circulación Cerebrovascular
/
Péptidos beta-Amiloides
/
Tomografía de Emisión de Positrones
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Glicoles de Etileno
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Enfermedad de Alzheimer
/
Compuestos de Anilina
/
Modelos Cardiovasculares
Tipo de estudio:
Observational_studies
Límite:
Female
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Humans
/
Male
Idioma:
En
Revista:
J Cereb Blood Flow Metab
Año:
2019
Tipo del documento:
Article
Pais de publicación:
Estados Unidos