Quantitative analysis of PiB-PET with FreeSurfer ROIs.
In vivo quantification of β-amyloid deposition using positron emission tomography is emerging as an important procedure for the early diagnosis of the Alzheimer's disease and is likely to play an important role in upcoming clinical trials of disease modifying agents. However, many groups use ma...
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oai:doaj.org-article:fd03dee90e324e689d108d36b52c898e2021-11-18T08:48:11ZQuantitative analysis of PiB-PET with FreeSurfer ROIs.1932-620310.1371/journal.pone.0073377https://doaj.org/article/fd03dee90e324e689d108d36b52c898e2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24223109/?tool=EBIhttps://doaj.org/toc/1932-6203In vivo quantification of β-amyloid deposition using positron emission tomography is emerging as an important procedure for the early diagnosis of the Alzheimer's disease and is likely to play an important role in upcoming clinical trials of disease modifying agents. However, many groups use manually defined regions, which are non-standard across imaging centers. Analyses often are limited to a handful of regions because of the labor-intensive nature of manual region drawing. In this study, we developed an automatic image quantification protocol based on FreeSurfer, an automated whole brain segmentation tool, for quantitative analysis of amyloid images. Standard manual tracing and FreeSurfer-based analyses were performed in 77 participants including 67 cognitively normal individuals and 10 individuals with early Alzheimer's disease. The manual and FreeSurfer approaches yielded nearly identical estimates of amyloid burden (intraclass correlation = 0.98) as assessed by the mean cortical binding potential. An MRI test-retest study demonstrated excellent reliability of FreeSurfer based regional amyloid burden measurements. The FreeSurfer-based analysis also revealed that the majority of cerebral cortical regions accumulate amyloid in parallel, with slope of accumulation being the primary difference between regions.Yi SuGina M D'AngeloAndrei G VlassenkoGongfu ZhouAbraham Z SnyderDaniel S MarcusTyler M BlazeyJon J ChristensenShivangi VoraJohn C MorrisMark A MintunTammie L S BenzingerPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 11, p e73377 (2013) |
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Medicine R Science Q Yi Su Gina M D'Angelo Andrei G Vlassenko Gongfu Zhou Abraham Z Snyder Daniel S Marcus Tyler M Blazey Jon J Christensen Shivangi Vora John C Morris Mark A Mintun Tammie L S Benzinger Quantitative analysis of PiB-PET with FreeSurfer ROIs. |
description |
In vivo quantification of β-amyloid deposition using positron emission tomography is emerging as an important procedure for the early diagnosis of the Alzheimer's disease and is likely to play an important role in upcoming clinical trials of disease modifying agents. However, many groups use manually defined regions, which are non-standard across imaging centers. Analyses often are limited to a handful of regions because of the labor-intensive nature of manual region drawing. In this study, we developed an automatic image quantification protocol based on FreeSurfer, an automated whole brain segmentation tool, for quantitative analysis of amyloid images. Standard manual tracing and FreeSurfer-based analyses were performed in 77 participants including 67 cognitively normal individuals and 10 individuals with early Alzheimer's disease. The manual and FreeSurfer approaches yielded nearly identical estimates of amyloid burden (intraclass correlation = 0.98) as assessed by the mean cortical binding potential. An MRI test-retest study demonstrated excellent reliability of FreeSurfer based regional amyloid burden measurements. The FreeSurfer-based analysis also revealed that the majority of cerebral cortical regions accumulate amyloid in parallel, with slope of accumulation being the primary difference between regions. |
format |
article |
author |
Yi Su Gina M D'Angelo Andrei G Vlassenko Gongfu Zhou Abraham Z Snyder Daniel S Marcus Tyler M Blazey Jon J Christensen Shivangi Vora John C Morris Mark A Mintun Tammie L S Benzinger |
author_facet |
Yi Su Gina M D'Angelo Andrei G Vlassenko Gongfu Zhou Abraham Z Snyder Daniel S Marcus Tyler M Blazey Jon J Christensen Shivangi Vora John C Morris Mark A Mintun Tammie L S Benzinger |
author_sort |
Yi Su |
title |
Quantitative analysis of PiB-PET with FreeSurfer ROIs. |
title_short |
Quantitative analysis of PiB-PET with FreeSurfer ROIs. |
title_full |
Quantitative analysis of PiB-PET with FreeSurfer ROIs. |
title_fullStr |
Quantitative analysis of PiB-PET with FreeSurfer ROIs. |
title_full_unstemmed |
Quantitative analysis of PiB-PET with FreeSurfer ROIs. |
title_sort |
quantitative analysis of pib-pet with freesurfer rois. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2013 |
url |
https://doaj.org/article/fd03dee90e324e689d108d36b52c898e |
work_keys_str_mv |
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1718421301351153664 |