Cortical gray matter provides the most stable reference region and supports harmonized, covariate-adjusted normative datasets for clinical and research applications and is the major sources of variance in brain [¹⁸F]FDG-PET quantification in CN subjects.
Hypometabolism is a sensitive and early marker of AD-related neurodegeneration, preceding MRI-detectable GM atrophy and more closely reflecting underlying tau pathology across disease stages.
Orfeas Vourkas, Linda Zhang, Andrés Jiménez-Pérez et al.· European Journal of Nuclear...· 0 citations
Deep learning–based amyloid PET segmentation enables accurate MRI-free quantification of gray and white matter SUVRs and simplifies clinical workflow while maintaining diagnostic performance comparable to MRI-based methods for AD diagnosis.
Seung-Ho Shin, Yong-Jun Mo, Hee Sung Hwang et al.· Journal of Alzheimer's Disea...· 0 citations
High-resolution dhPET revealed significantly higher SUVRs in Aβ⁺ compared with Aβ⁻ subjects in supratentorial structures, including cerebral white matter, and in cerebellar gray matter.
Yasuyuki Kojita, Kazunari Ishii, Takahiro Yamada et al.· Annals of Nuclear Medicine· 0 citations
PS and iterative PS may provide more robust normalization than RR in AE, and follow-up showed that iPS and PS better captured initial abnormalities than RR.
F. M. Kuijper, Antoine Rogeau, Hélène Rostand et al.· NeuroImage: Clinical· 0 citations
SUVRc for [11C]PiB PET enables more accurate quantification of A{beta} burden than SUVR in cross-sectional and longitudinal studies (relative to SRTM DVR), while enabling imaging at earlier and shorter time-windows.
P. Honhar, M. Properzi, A. Schultz et al.· medRxiv· 0 citations
Across regions and networks, SEOT performed similarly or better than tau load in predicting metabolic dysfunction and may improve diagnostic characterisation and prediction of cognitive impairment beyond [18F]FDG-PET.
Arthur C. Macedo, Lydia Trudel, S. A. Hosseini et al.· EBioMedicine· 1 citation
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