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Tracer‐specific reference tissues selection improves detection of (18)F‐FDG, (18)F‐florbetapir, and (18)F‐flortaucipir PET SUVR changes in Alzheimer's disease
This study sought to identify a reference tissue‐based quantification approach for improving the statistical power in detecting changes in brain glucose metabolism, amyloid, and tau deposition in Alzheimer's disease studies. A total of 794, 906, and 903 scans were included for (18)F‐FDG, (18)F‐...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996354/ https://www.ncbi.nlm.nih.gov/pubmed/35165964 http://dx.doi.org/10.1002/hbm.25774 |
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author | Li, Yanxiao Ng, Yee Ling Paranjpe, Manish D. Ge, Qi Gu, Fengyun Li, Panlong Yan, Shaozhen Lu, Jie Wang, Xiuying Zhou, Yun |
author_facet | Li, Yanxiao Ng, Yee Ling Paranjpe, Manish D. Ge, Qi Gu, Fengyun Li, Panlong Yan, Shaozhen Lu, Jie Wang, Xiuying Zhou, Yun |
author_sort | Li, Yanxiao |
collection | PubMed |
description | This study sought to identify a reference tissue‐based quantification approach for improving the statistical power in detecting changes in brain glucose metabolism, amyloid, and tau deposition in Alzheimer's disease studies. A total of 794, 906, and 903 scans were included for (18)F‐FDG, (18)F‐florbetapir, and (18)F‐flortaucipir, respectively. Positron emission tomography (PET) and T1‐weighted images of participants were collected from the Alzheimer's disease Neuroimaging Initiative database, followed by partial volume correction. The standardized uptake value ratios (SUVRs) calculated from the cerebellum gray matter, centrum semiovale, and pons were evaluated at both region of interest (ROI) and voxelwise levels. The statistical power of reference tissues in detecting longitudinal SUVR changes was assessed via paired t‐test. In cross‐sectional analysis, the impact of reference tissue‐based SUVR differences between cognitively normal and cognitively impaired groups was evaluated by effect sizes Cohen's d and two sample t‐test adjusted by age, sex, and education levels. The average ROI t values of pons were 86.62 and 38.40% higher than that of centrum semiovale and cerebellum gray matter in detecting glucose metabolism decreases, while the centrum semiovale reference tissue‐based SUVR provided higher t values for the detection of amyloid and tau deposition increases. The three reference tissues generated comparable d images for (18)F‐FDG, (18)F‐florbetapir, and (18)F‐flortaucipir and comparable t maps for (18)F‐florbetapir and (18)F‐flortaucipir, but pons‐based t map showed superior performance in (18)F‐FDG. In conclusion, the tracer‐specific reference tissue improved the detection of (18)F‐FDG, (18)F‐florbetapir, and (18)F‐flortaucipir PET SUVR changes, which helps the early diagnosis, monitoring of disease progression, and therapeutic response in Alzheimer's disease. |
format | Online Article Text |
id | pubmed-8996354 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89963542022-04-15 Tracer‐specific reference tissues selection improves detection of (18)F‐FDG, (18)F‐florbetapir, and (18)F‐flortaucipir PET SUVR changes in Alzheimer's disease Li, Yanxiao Ng, Yee Ling Paranjpe, Manish D. Ge, Qi Gu, Fengyun Li, Panlong Yan, Shaozhen Lu, Jie Wang, Xiuying Zhou, Yun Hum Brain Mapp Research Articles This study sought to identify a reference tissue‐based quantification approach for improving the statistical power in detecting changes in brain glucose metabolism, amyloid, and tau deposition in Alzheimer's disease studies. A total of 794, 906, and 903 scans were included for (18)F‐FDG, (18)F‐florbetapir, and (18)F‐flortaucipir, respectively. Positron emission tomography (PET) and T1‐weighted images of participants were collected from the Alzheimer's disease Neuroimaging Initiative database, followed by partial volume correction. The standardized uptake value ratios (SUVRs) calculated from the cerebellum gray matter, centrum semiovale, and pons were evaluated at both region of interest (ROI) and voxelwise levels. The statistical power of reference tissues in detecting longitudinal SUVR changes was assessed via paired t‐test. In cross‐sectional analysis, the impact of reference tissue‐based SUVR differences between cognitively normal and cognitively impaired groups was evaluated by effect sizes Cohen's d and two sample t‐test adjusted by age, sex, and education levels. The average ROI t values of pons were 86.62 and 38.40% higher than that of centrum semiovale and cerebellum gray matter in detecting glucose metabolism decreases, while the centrum semiovale reference tissue‐based SUVR provided higher t values for the detection of amyloid and tau deposition increases. The three reference tissues generated comparable d images for (18)F‐FDG, (18)F‐florbetapir, and (18)F‐flortaucipir and comparable t maps for (18)F‐florbetapir and (18)F‐flortaucipir, but pons‐based t map showed superior performance in (18)F‐FDG. In conclusion, the tracer‐specific reference tissue improved the detection of (18)F‐FDG, (18)F‐florbetapir, and (18)F‐flortaucipir PET SUVR changes, which helps the early diagnosis, monitoring of disease progression, and therapeutic response in Alzheimer's disease. John Wiley & Sons, Inc. 2022-02-15 /pmc/articles/PMC8996354/ /pubmed/35165964 http://dx.doi.org/10.1002/hbm.25774 Text en © 2022 United Imaging Healthcare. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Li, Yanxiao Ng, Yee Ling Paranjpe, Manish D. Ge, Qi Gu, Fengyun Li, Panlong Yan, Shaozhen Lu, Jie Wang, Xiuying Zhou, Yun Tracer‐specific reference tissues selection improves detection of (18)F‐FDG, (18)F‐florbetapir, and (18)F‐flortaucipir PET SUVR changes in Alzheimer's disease |
title | Tracer‐specific reference tissues selection improves detection of
(18)F‐FDG,
(18)F‐florbetapir, and
(18)F‐flortaucipir PET SUVR changes in Alzheimer's disease |
title_full | Tracer‐specific reference tissues selection improves detection of
(18)F‐FDG,
(18)F‐florbetapir, and
(18)F‐flortaucipir PET SUVR changes in Alzheimer's disease |
title_fullStr | Tracer‐specific reference tissues selection improves detection of
(18)F‐FDG,
(18)F‐florbetapir, and
(18)F‐flortaucipir PET SUVR changes in Alzheimer's disease |
title_full_unstemmed | Tracer‐specific reference tissues selection improves detection of
(18)F‐FDG,
(18)F‐florbetapir, and
(18)F‐flortaucipir PET SUVR changes in Alzheimer's disease |
title_short | Tracer‐specific reference tissues selection improves detection of
(18)F‐FDG,
(18)F‐florbetapir, and
(18)F‐flortaucipir PET SUVR changes in Alzheimer's disease |
title_sort | tracer‐specific reference tissues selection improves detection of
(18)f‐fdg,
(18)f‐florbetapir, and
(18)f‐flortaucipir pet suvr changes in alzheimer's disease |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996354/ https://www.ncbi.nlm.nih.gov/pubmed/35165964 http://dx.doi.org/10.1002/hbm.25774 |
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