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AMYQ: An index to standardize quantitative amyloid load across PET tracers
INTRODUCTION: 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 ne...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519100/ https://www.ncbi.nlm.nih.gov/pubmed/33797846 http://dx.doi.org/10.1002/alz.12317 |
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author | 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 |
author_facet | 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 |
author_sort | Pegueroles, Jordi |
collection | PubMed |
description | INTRODUCTION: 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. METHODS: 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. RESULTS: 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. DISCUSSION: AMYQ is a new MRI‐independent index for standardizing and quantifying amyloid load across tracers. |
format | Online Article Text |
id | pubmed-8519100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85191002021-10-22 AMYQ: An index to standardize quantitative amyloid load across PET tracers 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 Alzheimers Dement Research Articles INTRODUCTION: 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. METHODS: 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. RESULTS: 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. DISCUSSION: AMYQ is a new MRI‐independent index for standardizing and quantifying amyloid load across tracers. John Wiley and Sons Inc. 2021-04-02 2021-09 /pmc/articles/PMC8519100/ /pubmed/33797846 http://dx.doi.org/10.1002/alz.12317 Text en © 2021 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles 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 AMYQ: An index to standardize quantitative amyloid load across PET tracers |
title | AMYQ: An index to standardize quantitative amyloid load across PET tracers |
title_full | AMYQ: An index to standardize quantitative amyloid load across PET tracers |
title_fullStr | AMYQ: An index to standardize quantitative amyloid load across PET tracers |
title_full_unstemmed | AMYQ: An index to standardize quantitative amyloid load across PET tracers |
title_short | AMYQ: An index to standardize quantitative amyloid load across PET tracers |
title_sort | amyq: an index to standardize quantitative amyloid load across pet tracers |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519100/ https://www.ncbi.nlm.nih.gov/pubmed/33797846 http://dx.doi.org/10.1002/alz.12317 |
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