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AMYQ : An index to standardize quantitative amyloid load across PET tracers

Authors :
Pegueroles, Jordi
Montal, Victor
Bejanin, Alexandre
Vilaplana, Eduard
Aranha, Mateus
Santos-Santos, Miguel Angel
Alcolea, Daniel
Carrió, Ignasi
Camacho, Valle
Blesa, Rafael
Lleó, Alberto
Fortea, Juan
Universitat Autònoma de Barcelona
Pegueroles, Jordi
Montal, Victor
Bejanin, Alexandre
Vilaplana, Eduard
Aranha, Mateus
Santos-Santos, Miguel Angel
Alcolea, Daniel
Carrió, Ignasi
Camacho, Valle
Blesa, Rafael
Lleó, Alberto
Fortea, Juan
Universitat Autònoma de Barcelona
Publication Year :
2021

Abstract

Positron emission tomography (PET) amyloid quantification methods require magnetic resonance imaging (MRI) for spatial registration and a priori reference region to scale the images. Furthermore, different tracers have distinct thresholds for positivity. We propose the AMYQ index, a new measure of amyloid burden, to overcome these limitations. We selected 18F-amyloid scans from ADNI and Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL) with the corresponding T1-MRI. A subset also had neuropathological data. PET images were normalized, and the AMYQ was calculated based on an adaptive template. We compared AMYQ with the Centiloid scale on clinical and neuropathological diagnostic performance. AMYQ was related with amyloid neuropathological burden and had excellent diagnostic performance to discriminate controls from patients with Alzheimer's disease (AD) (area under the curve [AUC] = 0.86). AMYQ had a high agreement with the Centiloid scale (intraclass correlation coefficient [ICC] = 0.88) and AUC between 0.94 and 0.99 to discriminate PET positivity when using different Centiloid cutoffs. AMYQ is a new MRI-independent index for standardizing and quantifying amyloid load across tracers.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1312229173
Document Type :
Electronic Resource