Reduced acquisition time PET pharmacokinetic modelling using simultaneous ASL–MRI: proof of concept-Reference-Cited by-同舟云学术

Reduced acquisition time PET pharmacokinetic modelling using simultaneous ASL–MRI: proof of concept

Published:2018-09-05 Issue:12 Volume:39 Page:2419-2432
ISSN:0271-678X
Container-title:Journal of Cerebral Blood Flow & Metabolism
language:en
Short-container-title:J Cereb Blood Flow Metab

Author:

Scott Catherine J¹^ORCID,Jiao Jieqing¹,Melbourne Andrew¹,Burgos Ninon¹²,Cash David M¹³,De Vita Enrico⁴⁵⁶,Markiewicz Pawel J¹,O'Connor Antoinette³,Thomas David L¹⁴⁷,Weston Philip SJ³,Schott Jonathan M³,Hutton Brian F⁸⁹,Ourselin Sébastien¹⁰

Affiliation:

1. Translational Imaging Group, CMIC, University College London, London, UK

2. Inria, Aramis project-team, Institut du Cerveau et de la Moelle épinière, Inserm, CNRS, Sorbonne Université, Paris, France

3. Dementia Research Centre, Institute of Neurology, University College London, London, UK

4. Neuroradiological Academic Unit, UCL Institute of Neurology, London, UK

5. Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, UCL Hospitals Foundation Trust, London, UK

6. Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, King's Health Partners, St Thomas' Hospital, London, UK

7. Leonard Wolfson Experimental Neurology Centre, UCL Institute of Neurology London, UK

8. Institute of Nuclear Medicine, University College London, London, UK

9. Centre for Medical Radiation Physics, University of Wollongong, NSW, Australia

10. School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK

Abstract

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-β 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.

Publisher

SAGE Publications

Subject

Cardiology and Cardiovascular Medicine,Neurology (clinical),Neurology

Link

http://journals.sagepub.com/doi/pdf/10.1177/0271678X18797343

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