RT Journal Article
T1 Spill-in counts in the quantification of 18 F-florbetapir on Aβ-negative subjects: the effect of including white matter in the reference region
A1 López González, Francisco Javier
A1 Moscoso Rial, Alexis
A1 Efthimiou, Nikos
A1 Fernández Ferreiro, Anxo
A1 Piñeiro Fiel, Manuel
A1 Archibald, Stephen J.
A1 Aguiar Fernández, Pablo
A1 Silva Rodríguez, Jesús
A1 Alzheimer’s Disease Neuroimaging Initiative, 
K1 Amyloid
K1 PET
K1 Quantification
K1 SUV
K1 PVE
AB Background: We aim to provide a systematic study of the impact of white matter(WM) spill-in on the calculation of standardized uptake value ratios (SUVRs) on Aβnegative subjects, and we study the effect of including WM in the reference regionas a compensation. In addition, different partial volume correction (PVC) methods areapplied and evaluated.Methods: We evaluated magnetic resonance imaging and 18F-AV-45 positronemission tomography data from 122 cognitively normal (CN) patients recruited atthe Alzheimer’s Disease Neuroimaging Initiative (ADNI). Cortex SUVRs were obtainedby using the cerebellar grey matter (CGM) (SUVRCGM) and the whole cerebellum(SUVRWC) as reference regions. The correlations between the different SUVRs and theWM uptake (WM-SUVRCGM) were studied in patients, and in a well-controlledframework based on Monte Carlo (MC) simulation. Activity maps for the MCsimulation were derived from ADNI patients by using a voxel-wise iterative process(BrainViset). Ten WM uptakes covering the spectrum of WM values obtained frompatient data were simulated for different patients. Three different PVC methods weretested (a) the regional voxel-based (RBV), (b) the iterative Yang (iY), and (c) asimplified analytical correction derived from our MC simulation.Results: WM-SUVRCGM followed a normal distribution with an average of 1.79 and astandard deviation of 0.243 (13.6%). SUVRCGM was linearly correlated to WM-SUVRCGM(r = 0.82, linear fit slope = 0.28). SUVRWC was linearly correlated to WM-SUVRCGM (r =0.64, linear fit slope = 0.13). Our MC results showed that these correlations arecompatible with those produced by isolated spill-in effect (slopes of 0.23 and 0.11).The impact of the spill-in was mitigated by using PVC for SUVRCGM (slopes of 0.06and 0.07 for iY and RBV), while SUVRWC showed a negative correlation with SUVRCGMafter PVC. The proposed analytical correction also reduced the observed correlationswhen applied to patient data (r = 0.27 for SUVRCGM, r = 0.18 for SUVRWC).Conclusions: There is a high correlation between WM uptake and the measuredSUVR due to spill-in effect, and that this effect is reduced when including WM in thereference region. We also evaluated the performance of PVC, and we proposed ananalytical correction that can be applied to preprocessed data.
PB Springer
YR 2019
FD 2019
LK http://hdl.handle.net/10347/21588
UL http://hdl.handle.net/10347/21588
LA eng
NO López-González, F. J., Moscoso, A., Efthimiou, N., Fernández-Ferreiro, A., Piñeiro-Fiel, M., Archibald, S. J., . . . Silva-Rodríguez, J. (2019). Spill-in counts in the quantification of 18 F-florbetapir on aβ-negative subjects: The effect of including white matter in the reference region. EJNMMI Physics, 6(1), 27. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/31858289
NO This work was partially supported by the project PI16/01416 (ISCIII co-funded FEDER) and RYC-2015/17430(Ramón y Cajal, PA)
DS Minerva
RD 24 abr 2026