Parametric methods for [18F]flortaucipir PET
| Autor: | Philip Scheltens, Chris W.J. van der Weijden, Robert C. Schuit, Maqsood Yaqub, Albert D. Windhorst, Lothar A. Schwarte, Sandeep S.V. Golla, Rik Ossenkoppele, Emma E. Wolters, Ronald Boellaard, Tessa Timmers, Adriaan A. Lammertsma, Michael D. Devous, Bart N.M. van Berckel, Mark A. Mintun |
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| Přispěvatelé: | Guided Treatment in Optimal Selected Cancer Patients (GUTS), Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Radiology and nuclear medicine, Amsterdam Neuroscience - Brain Imaging, Neurology, VU University medical center, Anesthesiology, ACS - Microcirculation, CCA - Imaging and biomarkers, ACS - Heart failure & arrhythmias, AMS - Tissue Function & Regeneration |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry Pattern recognition 03 medical and health sciences 0302 clinical medicine Neurology Parametric imaging AV-1451 Parametric methods [ F]flortaucipir Neurology (clinical) Artificial intelligence parametric imaging tau imaging Cardiology and Cardiovascular Medicine business Alzheimer’s disease 030217 neurology & neurosurgery Parametric statistics |
| Zdroj: | Journal of Cerebral Blood Flow and Metabolism, 40(2), 365-373. SAGE Publications Inc. Golla, S S V, Wolters, E E, Timmers, T, Ossenkoppele, R, van der Weijden, C W J, Scheltens, P, Schwarte, L, Mintun, M A, Devous Sr, M D, Schuit, R C, Windhorst, A D, Lammertsma, A A, Yaqub, M, van Berckel, B N M & Boellaard, R 2020, ' Parametric methods for [18F]flortaucipir PET ', Journal of Cerebral Blood Flow and Metabolism, vol. 40, no. 2, pp. 365-373 . https://doi.org/10.1177/0271678X18820765 Journal of Cerebral Blood Flow and Metabolism, 40(2), 365-373. Nature Publishing Group |
| ISSN: | 0271-678X |
| DOI: | 10.1177/0271678X18820765 |
| Popis: | [18F]Flortaucipir is a PET tau tracer used to visualize tau binding in Alzheimer’s disease (AD) in vivo. The present study evaluated the performance of several methods to obtain parametric images of [18F]flortaucipir. One hundred and thirty minutes dynamic PET scans were performed in 10 AD patients and 10 controls. Parametric images were generated using different linearization and basis function approaches. Regional binding potential (BPND) and volume of distribution (VT) values obtained from the parametric images were compared with corresponding values derived using the reversible two-tissue compartment model (2T4k_VB). Performance of SUVr parametric images was assessed by comparing values with distribution volume ratio (DVR) and SRTM-derived BPND estimates obtained using non-linear regression (NLR). Spectral analysis (SA) ( r2 = 0.92; slope = 0.99) derived VT correlated well with NLR-derived VT. RPM ( r2 = 0.95; slope = 0.98) derived BPND correlated well with NLR-derived DVR. Although SUVr80–100 min correlated well with NLR-derived DVR ( r2 = 0.91; slope = 1.09), bias in SUVr appeared to depend on uptake time and underlying level of specific binding. In conclusion, RPM and SA provide parametric images comparable to the NLR estimates. Individual SUVr values are biased compared with DVR and this bias requires further study in a larger dataset in order to understand its consequences. |
| Databáze: | OpenAIRE |
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