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The Centiloid (CL) is a method for standardizing amyloid beta (Aβ) quantification through different ligands and methods. To find the most appropriate reference region to reduce the variance in the Aβ CL unit between F-florbetaben (FBB) and F-flutemetamol (FMM), we conducted head-to-head comparisons from 56 participants using the direct comparison of FBB-FMM CL (dcCL) method with four reference regions: cerebellar gray (CG), whole cerebellum (WC), WC with brainstem (WC + B), and pons. The FBB and FMM dcCL units were highly correlated in four reference regions: WC (R = 0.97), WC + B (R = 0.98), CG (R = 0.92), and pons (R = 0.98). WC showed the largest effect size in both FBB and FMM. Comparison of the variance of the dcCL values within the young control group showed that with FBB, WC + B had the smallest variance and with FMM, the WC had the smallest variance. Additionally, WC + B showed the smallest absolute difference between FBB and FMM, followed by the WC, pons, and CG. We found that it would be reasonable to use the WC or WC + B as the reference region when converting FBB and FMM SUVRs into dcCL, which can increase the accuracy of standardizing FBB and FMM PET results.
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http://dx.doi.org/10.1038/s41598-020-70978-z | DOI Listing |
BMC Neurosci
August 2025
Department of Nuclear Medicine and Molecular Imaging, School of Medicine, Ajou University, 206, World cup-ro, Yeongtong-gu, Suwon-si, Suwon, Gyeonggi-do, 16499, Korea.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disorder that is the leading cause of dementia, characterized by memory loss, cognitive decline, and significant social and economic burdens. Despite extensive research into amyloid positron emission tomography (PET) radiopharmaceuticals, the effectiveness of various F-labeled tracers for imaging amyloid plaques in AD mouse models remains uncertain. This study aimed to evaluate the performance of three radiopharmaceuticals-F-florbetaben (FBB), F-flutemetamol (FMM), and F-florapronol (FPN)-in differentiating amyloid deposition in AD and control mice.
View Article and Find Full Text PDFDiagnostics (Basel)
June 2025
Division of Nuclear Medicine, Department of Radiology, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea.
: This study aimed to evaluate the consistency of Centiloid (CL) values calculated using three commercially available software platforms: BTXBrain (v1.1.2), MIM (v7.
View Article and Find Full Text PDFSci Rep
February 2025
Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
We aimed to compare amyloid-β (Aβ) accumulation rates between different tracers and investigate whether the relationship between changes in Aβ uptake and cognitive decline varies depending on tracer type. Two cohorts were analyzed: (1) a head-to-head longitudinal cohort using F-Florbetaben (FBB) and F-Flutemetamol (FMM) tracers (n = 13), and (2) separate longitudinal cohorts for each tracer (n = 174 for both FMM and FBB), matched by propensity score. Aβ uptake was measured using regional direct comparison of Centiloid (rdcCL) values.
View Article and Find Full Text PDFClin Nucl Med
November 2024
Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Purpose: Although rapid cognitive decline (RCD) is an important unfavorable prognostic factor, not much is known about it, especially in amyloid-negative individuals. The purpose of this study was to investigate risk factors for RCD in amyloid-negative individuals.
Patients And Methods: We retrospectively enrolled 741 individuals who were either cognitively unimpaired or had early-stage cognitive ability loss and who underwent 18 F-florbetaben (FBB) (n = 402) or 18 F-flutemetamol (FMM) (n = 339) PET/CT.
Eur J Nucl Med Mol Imaging
December 2023
Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands.