uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
Separation of β-amyloid binding and white matter uptake of [18F]flutemetamol using spectral analysis
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology. (Nuklearmedicin och PET)
GE Healthcare, Amersham, UK.
Department of Neurosciences, KU Leuven and University Hospitals Leuven, Leuven, Belgium.
Department of Imaging and Pathology, KU Leuven and University Hospitals Leuven, Leuven, Belgium.
Show others and affiliations
(English)Article in journal (Other academic) In press
National Category
Radiology, Nuclear Medicine and Medical Imaging
URN: urn:nbn:se:uu:diva-262077OAI: oai:DiVA.org:uu-262077DiVA: diva2:852197
Available from: 2015-09-08 Created: 2015-09-08 Last updated: 2015-11-10
In thesis
1. Characterization of [18F]flutemetamol binding properties: A β-amyloid PET imaging ligand
Open this publication in new window or tab >>Characterization of [18F]flutemetamol binding properties: A β-amyloid PET imaging ligand
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The criteria for diagnosing Alzheimer’s disease (AD) have recently been revised to include the use of biomarkers for the in vivo presence of β-amyloid, one of the neuropathological hallmarks of AD. Examples of such biomarkers are positron emission tomography (PET) β-amyloid specific ligands, including [18F]flutemetamol. The aim of this thesis was to characterize the binding properties of [18F]flutemetamol from a tracer kinetic perspective as well as by validating binding measures through comparison with tissue pathology assessments. The applicability of previously developed kinetic models of tracer binding for voxel-based analysis was examined and compared to arterial input compartment modelling, the “gold standard” for PET quantification. Several voxel-based methods were found to exhibit high correlations with compartment modelling, including the semi-quantitative standardized uptake value ratio (SUVR). The kinetic components of [18F]flutemetamol uptake were also investigated without model assumptions using the data driven method spectral analysis, with binding to β-amyloid shown to relate to a slow kinetic component. The same component was also found to predominate in the uptake of white matter, known to be free of β-amyloid accumulation. White matter uptake was however possible to separate from β-amyloid binding based on the relative contribution of the slow component to the total volume of distribution. Uptake of [18F]flutemetamol as quantified using SUVR or assessed visually was found to correlate well with tissue pathology assessments. Classifying the brains of 68 deceased subjects who had undergone [18F]flutemetamol PET scanning ante mortem, based on the spatial distribution of β-amyloid according to pre-defined phases, revealed that abnormal uptake patterns of [18F]flutemetamol were only certain to be found in the last phase of β-amyloid accumulation. In the same cohort however, [18F]flutemetamol was also shown to accurately distinguish between subjects with AD and non-AD dementia. While this supports the use of [18F]flutemetamol in clinical settings for ruling out AD, the association of abnormal [18F]flutemetamol uptake to late phases of β-amyloid accumulation may limit the detection of early accumulation and pre-clinical stages of AD. It remains to be investigated whether application of voxel-based methods and slow component filtering may increase sensitivity, particularly in the context of clinical trials.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2015. 74 p.
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine, ISSN 1651-6206 ; 1139
Positron emission tomography (PET), molecular imaging, amyloid, tracer validation
National Category
Radiology, Nuclear Medicine and Medical Imaging
Research subject
urn:nbn:se:uu:diva-262019 (URN)978-91-554-9356-1 (ISBN)
Public defence
2015-11-19, Skoogsalen, Akademiska Sjukhuset, Ingång 79, Uppsala, 09:15 (English)
Available from: 2015-10-28 Created: 2015-09-07 Last updated: 2015-11-10

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Heurling, Kerstin
By organisation
RadiologyDepartment of Surgical Sciences
Radiology, Nuclear Medicine and Medical Imaging

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 112 hits
ReferencesLink to record
Permanent link

Direct link