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Reduced acquisition time PET pharmacokinetic modelling using simultaneous ASL-MRI: proof of concept.
Scott, Catherine J; Jiao, Jieqing; Melbourne, Andrew; Burgos, Ninon; Cash, David M; De Vita, Enrico; Markiewicz, Pawel J; O'Connor, Antoinette; Thomas, David L; Weston, Philip Sj; Schott, Jonathan M; Hutton, Brian F; Ourselin, Sébastien.
Afiliación
  • Scott CJ; Translational Imaging Group, CMIC, University College London, London, UK.
  • Jiao J; Translational Imaging Group, CMIC, University College London, London, UK.
  • Melbourne A; Translational Imaging Group, CMIC, University College London, London, UK.
  • Burgos N; Translational Imaging Group, CMIC, University College London, London, UK.
  • Cash DM; Inria, Aramis project-team, Institut du Cerveau et de la Moelle épinière, Inserm, CNRS, Sorbonne Université, Paris, France.
  • De Vita E; Translational Imaging Group, CMIC, University College London, London, UK.
  • Markiewicz PJ; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • O'Connor A; Neuroradiological Academic Unit, UCL Institute of Neurology, London, UK.
  • Thomas DL; Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCL Hospitals Foundation Trust, London, UK.
  • Weston PS; Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, King's Health Partners, St Thomas' Hospital, London, UK.
  • Schott JM; Translational Imaging Group, CMIC, University College London, London, UK.
  • Hutton BF; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Ourselin S; Translational Imaging Group, CMIC, University College London, London, UK.
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Circulación Cerebrovascular / Péptidos beta-Amiloides / Tomografía de Emisión de Positrones / Glicoles de Etileno / Enfermedad de Alzheimer / Compuestos de Anilina / Modelos Cardiovasculares Tipo de estudio: Observational_studies Límite: Female / Humans / Male Idioma: En Revista: J Cereb Blood Flow Metab Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Circulación Cerebrovascular / Péptidos beta-Amiloides / Tomografía de Emisión de Positrones / Glicoles de Etileno / Enfermedad de Alzheimer / Compuestos de Anilina / Modelos Cardiovasculares Tipo de estudio: Observational_studies Límite: Female / Humans / Male Idioma: En Revista: J Cereb Blood Flow Metab Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos