Assessment of simplified ratio-based approaches for quantification of PET [11C] PBR28 data
| Autor: | Anton Forsberg, Lars Farde, Pontus Plavén-Sigray, Granville J. Matheson, Andrea Varrone, Simon Cervenka |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
lcsh:Medical physics. Medical radiology. Nuclear medicine
Frontal cortex lcsh:R895-920 High variability 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Medicine Radiology Nuclear Medicine and imaging 11c pbr28 [11C]PBR28 SUVR business.industry Arterial plasma Single component Healthy subjects Gold standard (test) PET DVR [C-11] PBR28 Principal component analysis Radiologi och bildbehandling Nuclear medicine business 030217 neurology & neurosurgery TSPO Radiology Nuclear Medicine and Medical Imaging |
| Zdroj: | EJNMMI Research, Vol 7, Iss 1, Pp 1-6 (2017) |
| Popis: | Kinetic modelling with metabolite-corrected arterial plasma is considered the gold standard for quantification of [11C]PBR28 binding to the translocator protein (TSPO), since there is no brain region devoid of TSPO that can serve as reference. The high variability in binding observed using this method has motivated the use of simplified ratio-based approaches such as standardised uptake value ratios (SUVRs) and distribution volume (VT) ratios (DVRs); however, the reliability of these measures and their relationship to VT have not been sufficiently evaluated. Data from a previously published [11C]PBR28 test-retest study in 12 healthy subjects were reanalysed. VT was estimated using a two-tissue compartment model. SUVR and DVR values for the frontal cortex were calculated using the whole brain and cerebellum as denominators. Test-retest reliability was assessed for all measures. Interregional correlations were performed for SUV and VT, and principal component analysis (PCA) was applied. Lastly, correlations between ratio-based outcomes and VT were assessed. Reliability was high for VT, moderate to high for SUV and SUVR, and poor for DVR. Very high interregional correlations were observed for both VT and SUV (all R 2 > 85%). The PCA showed that almost all variance (>98%) was explained by a single component. Ratio-based methods correlated poorly with VT (all R 2 |
| Databáze: | OpenAIRE |
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