Literature DB >> 32737243

Determining Amyloid-β Positivity Using 18F-AZD4694 PET Imaging.

Joseph Therriault1,2,3, Andrea L Benedet1,2,3, Tharick A Pascoal1,2,3, Melissa Savard1, Nicholas J Ashton4,5, Mira Chamoun1,2, Cecile Tissot1,2,3, Firoza Lussier1,2,3, Min Su Kang1,2,3, Gleb Bezgin1,2,3, Tina Wang1,2,3, Jaime Fernandes-Arias1,2,3, Gassan Massarweh3,6, Paolo Vitali2, Henrik Zetterberg4,5, Kaj Blennow4,5, Paramita Saha-Chaudhuri7, Jean-Paul Soucy2,3, Serge Gauthier1,2, Pedro Rosa-Neto8,2,3.   

Abstract

Amyloid-β deposition into plaques is a pathologic hallmark of Alzheimer disease appearing years before the onset of symptoms. Although cerebral amyloid-β deposition occurs on a continuum, dichotomization into positive and negative groups has advantages for diagnosis, clinical management, and population enrichment for clinical trials. 18F-AZD4694 (also known as 18F-NAV4694) is an amyloid-β imaging ligand with high affinity for amyloid-β plaques. Despite being used in multiple academic centers, no studies have assessed a quantitative cutoff for amyloid-β positivity using 18F-AZD4694 PET.
Methods: We assessed 176 individuals [young adults (n = 22), cognitively unimpaired elderly (n = 89), and cognitively impaired (n = 65)] who underwent amyloid-β PET with 18F-AZD4694, lumbar puncture, structural MRI, and genotyping for APOEε4 18F-AZD4694 values were normalized using the cerebellar gray matter as a reference region. We compared 5 methods for deriving a quantitative threshold for 18F-AZD4694 PET positivity: comparison with young-control SUV ratios (SUVRs), receiver-operating-characteristic (ROC) curves based on clinical classification of cognitively unimpaired elderly versus Alzheimer disease dementia, ROC curves based on visual Aβ-positive/Aβ-negative classification, gaussian mixture modeling, and comparison with cerebrospinal fluid measures of amyloid-β, specifically the Aβ42/Aβ40 ratio.
Results: We observed good convergence among the 4 methods: ROC curves based on visual classification (optimal cut point, 1.55 SUVR), ROC curves based on clinical classification (optimal cut point, 1.56 SUVR) gaussian mixture modeling (optimal cut point, 1.55 SUVR), and comparison with cerebrospinal fluid measures of amyloid-β (optimal cut point, 1.51 SUVR). Means and 2 SDs from young controls resulted in a lower threshold (1.33 SUVR) that did not agree with the other methods and labeled most elderly individuals as Aβ-positive.
Conclusion: Good convergence was obtained among several methods for determining an optimal cutoff for 18F-AZD4694 PET positivity. Despite conceptual and analytic idiosyncrasies linked with dichotomization of continuous variables, an 18F-AZD4694 threshold of 1.55 SUVR had reliable discriminative accuracy. Although clinical use of amyloid PET is currently by visual inspection of scans, quantitative thresholds may be helpful to arbitrate disagreement among raters or in borderline cases.
© 2021 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  18F-AZD4694; Alzheimer disease; PET; amyloid-β

Year:  2020        PMID: 32737243     DOI: 10.2967/jnumed.120.245209

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  12 in total

1.  Astrocyte biomarker signatures of amyloid-β and tau pathologies in Alzheimer's disease.

Authors:  Eduardo R Zimmer; Pedro Rosa-Neto; Tharick A Pascoal; João Pedro Ferrari-Souza; Pâmela C L Ferreira; Bruna Bellaver; Cécile Tissot; Yi-Ting Wang; Douglas T Leffa; Wagner S Brum; Andréa L Benedet; Nicholas J Ashton; Marco Antônio De Bastiani; Andréia Rocha; Joseph Therriault; Firoza Z Lussier; Mira Chamoun; Stijn Servaes; Gleb Bezgin; Min Su Kang; Jenna Stevenson; Nesrine Rahmouni; Vanessa Pallen; Nina Margherita Poltronetti; William E Klunk; Dana L Tudorascu; Ann D Cohen; Victor L Villemagne; Serge Gauthier; Kaj Blennow; Henrik Zetterberg; Diogo O Souza; Thomas K Karikari
Journal:  Mol Psychiatry       Date:  2022-08-10       Impact factor: 13.437

2.  Longitudinal 18F-MK-6240 tau tangles accumulation follows Braak stages.

Authors:  Tharick A Pascoal; Andrea L Benedet; Dana L Tudorascu; Joseph Therriault; Sulantha Mathotaarachchi; Melissa Savard; Firoza Z Lussier; Cécile Tissot; Mira Chamoun; Min Su Kang; Jenna Stevenson; Gassan Massarweh; Marie-Christine Guiot; Jean-Paul Soucy; Serge Gauthier; Pedro Rosa-Neto
Journal:  Brain       Date:  2021-12-16       Impact factor: 15.255

Review 3.  2020 update on the clinical validity of cerebrospinal fluid amyloid, tau, and phospho-tau as biomarkers for Alzheimer's disease in the context of a structured 5-phase development framework.

Authors:  A Leuzy; N J Ashton; N Mattsson-Carlgren; A Dodich; M Boccardi; J Corre; A Drzezga; A Nordberg; R Ossenkoppele; H Zetterberg; K Blennow; G B Frisoni; V Garibotto; O Hansson
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-03-05       Impact factor: 9.236

Review 4.  Alzheimer's disease clinical trial update 2019-2021.

Authors:  Joseph Pleen; Ryan Townley
Journal:  J Neurol       Date:  2021-10-05       Impact factor: 6.682

Review 5.  Metals in Imaging of Alzheimer's Disease.

Authors:  Olga Krasnovskaya; Daniil Spector; Alexander Zlobin; Kirill Pavlov; Peter Gorelkin; Alexander Erofeev; Elena Beloglazkina; Alexander Majouga
Journal:  Int J Mol Sci       Date:  2020-12-02       Impact factor: 5.923

6.  Association between regional tau pathology and neuropsychiatric symptoms in aging and dementia due to Alzheimer's disease.

Authors:  Cécile Tissot; Joseph Therriault; Tharick A Pascoal; Mira Chamoun; Firoza Z Lussier; Melissa Savard; Sulantha S Mathotaarachchi; Andréa L Benedet; Emilie M Thomas; Marlee Parsons; Ziad Nasreddine; Pedro Rosa-Neto; Serge Gauthier
Journal:  Alzheimers Dement (N Y)       Date:  2021-03-31

7.  Plasma p-tau231: a new biomarker for incipient Alzheimer's disease pathology.

Authors:  Nicholas J Ashton; Tharick A Pascoal; Pedro Rosa-Neto; Kaj Blennow; Thomas K Karikari; Andréa L Benedet; Juan Lantero-Rodriguez; Gunnar Brinkmalm; Anniina Snellman; Michael Schöll; Claire Troakes; Abdul Hye; Serge Gauthier; Eugeen Vanmechelen; Henrik Zetterberg
Journal:  Acta Neuropathol       Date:  2021-02-14       Impact factor: 17.088

8.  Amyloid-dependent and amyloid-independent effects of Tau in individuals without dementia.

Authors:  Joseph Therriault; Tharick A Pascoal; Marcus Sefranek; Sulantha Mathotaarachchi; Andrea L Benedet; Mira Chamoun; Firoza Z Lussier; Cécile Tissot; Bruna Bellaver; Pamela S Lukasewicz; Eduardo R Zimmer; Paramita Saha-Chaudhuri; Serge Gauthier; Pedro Rosa-Neto
Journal:  Ann Clin Transl Neurol       Date:  2021-10-07       Impact factor: 4.511

9.  Interactive rather than independent effect of APOE and sex potentiates tau deposition in women.

Authors:  Yi-Ting T Wang; Tharick A Pascoal; Joseph Therriault; Min Su Kang; Andréa L Benedet; Melissa Savard; Cécile Tissot; Firoza Z Lussier; Jaime Fernandez Arias; Sulantha Mathotaarachchi; Maria Natasha Rajah; Serge Gauthier; Pedro Rosa-Neto
Journal:  Brain Commun       Date:  2021-06-07

10.  Topographic Distribution of Amyloid-β, Tau, and Atrophy in Patients With Behavioral/Dysexecutive Alzheimer Disease.

Authors:  Joseph Therriault; Tharick A Pascoal; Melissa Savard; Andrea L Benedet; Mira Chamoun; Cecile Tissot; Firoza Lussier; Min Su Kang; Emilie Thomas; Tatsuhiro Terada; Soham Rej; Gassan Massarweh; Ziad Nasreddine; Paolo Vitali; Jean-Paul Soucy; Paramita Saha-Chaudhuri; Serge Gauthier; Pedro Rosa-Neto
Journal:  Neurology       Date:  2020-10-22       Impact factor: 9.910

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