Comparison of Group-Level and Individualized Brain Regions for Measuring Change in Longitudinal Tau Positron Emission Tomography in Alzheimer Disease.
Comparison of Group-Level and Individualized Brain Regions for Measuring Change in Longitudinal Tau Positron Emission Tomography in Alzheimer Disease.
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阿尔茨海默病纵向Tau正电子发射断层扫描测量变化的组水平和个体化脑区比较。
DOI：
10.1001/jamaneurol.2023.1067
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发表时间：
2023-06-01
期刊：
影响因子：
29
通讯作者：
Hansson, Oskar
中科院分区：
文献类型：
--
作者：
Leuzy, Antoine;Binette, Alexa Pichet;Vogel, Jacob W.;Klein, Gregory;Borroni, Edilio;Tonietto, Matteo;Strandberg, Olof;Mattsson-Carlgren, Niklas;Palmqvist, Sebastian;Pontecorvo, Michael J.;Iaccarino, Leonardo;Stomrud, Erik;Ossenkoppele, Rik;Smith, Ruben;Hansson, Oskar
This cohort study investigates if defining participant-level regions of interest improves sensitivity to tau accumulation on positron emission tomography compared with group-level regions of interest. Does defining regions of interest (ROIs) for each participant (individualized) improve the sensitivity to tau accumulation compared with the use of a conventional approach where each participant is assigned the same ROI (group-level)? Significantly higher estimates of annual change in tau positron emission tomography (PET) were found using several of the participant-specific ROIs. Importantly, the simplest individualized approach, where change in tau PET was calculated in an ROI that best matched the participant’s data-driven disease stage, performed best. Individualized ROIs carry an advantage over group-level ROIs for assessing longitudinal tau PET and can increase the sensitivity to detect treatment effects in AD trials. Longitudinal tau positron emission tomography (PET) is a relevant outcome in clinical trials evaluating disease-modifying therapies in Alzheimer disease (AD). A key unanswered question is whether the use of participant-specific (individualized) regions of interest (ROIs) is superior to conventional approaches where the same ROI (group-level) is used for each participant. To compare group- and participant-level ROIs in participants at different stages of the AD clinical continuum in terms of annual percentage change in tau-PET standardized uptake value ratio (SUVR) and sample size requirements. This was a longitudinal cohort study with consecutive participant enrollment between September 18, 2017, and November 15, 2021. Included in the analysis were participants with mild cognitive impairment and AD dementia from the prospective and longitudinal Swedish Biomarkers For Identifying Neurodegenerative Disorders Early and Reliably 2 (BioFINDER-2) study; in addition, a validation sample (the AVID 05e, Expedition-3, Alzheimer’s Disease Neuroimaging Initiative [ADNI], and BioFINDER-1 study cohorts) was also included. Tau PET (BioFINDER-2, [18F]RO948; validation sample, [18F]flortaucipir), 7 group-level (5 data-driven stages, meta-temporal, whole brain), and 5 individualized ROIs. Annual percentage change in tau-PET SUVR across ROIs. Sample size requirements in simulated clinical trials using tau PET as an outcome were also calculated. A total of 215 participants (mean [SD] age, 71.4 (7.5) years; 111 male [51.6%]) from the BioFINDER-2 study were included in this analysis: 97 amyloid-β (Aβ)–positive cognitively unimpaired (CU) individuals, 77 with Aβ-positive mild cognitive impairment (MCI), and 41 with AD dementia. In the validation sample were 137 Aβ-positive CU participants, 144 with Aβ-positive MCI, and 125 with AD dementia. Mean (SD) follow-up time was 1.8 (0.3) years. Using group-level ROIs, the largest annual percentage increase in tau-PET SUVR in Aβ-positive CU individuals was seen in a composite ROI combining the entorhinal cortex, hippocampus, and amygdala (4.29%; 95% CI, 3.42%-5.16%). In individuals with Aβ-positive MCI, the greatest change was seen in the temporal cortical regions (5.82%; 95% CI, 4.67%-6.97%), whereas in those with AD dementia, the greatest change was seen in the parietal regions (5.22%; 95% CI, 3.95%-6.49%). Significantly higher estimates of annual percentage change were found using several of the participant-specific ROIs. Importantly, the simplest participant-specific approach, where change in tau PET was calculated in an ROI that best matched the participant’s data-driven disease stage, performed best in all 3 subgroups. For the power analysis, sample size reductions for the participant-specific ROIs ranged from 15.94% (95% CI, 8.14%-23.74%) to 72.10% (95% CI, 67.10%-77.20%) compared with the best-performing group-level ROIs. Findings were replicated using [18F]flortaucipir. Finding suggest that certain individualized ROIs carry an advantage over group-level ROIs for assessing longitudinal tau changes and increase the power to detect treatment effects in AD clinical trials using longitudinal tau PET as an outcome.
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影响因子：
29
作者：
Leuzy, Antoine;Smith, Ruben;Hansson, Oskar
通讯作者：
Hansson, Oskar
影响因子：
48
作者：
Murray, Melissa E.;Graff-Radford, Neill R.;Ross, Owen A.;Petersen, Ronald C.;Duara, Ranjan;Dickson, Dennis W.
通讯作者：
Dickson, Dennis W.
影响因子：
11.2
作者：
Cho, Hanna;Choi, Jae Yong;Lyoo, Chul Hyoung
通讯作者：
Lyoo, Chul Hyoung
影响因子：
29
作者：
Ossenkoppele R;Smith R;Mattsson-Carlgren N;Groot C;Leuzy A;Strandberg O;Palmqvist S;Olsson T;Jögi J;Stormrud E;Cho H;Ryu YH;Choi JY;Boxer AL;Gorno-Tempini ML;Miller BL;Soleimani-Meigooni D;Iaccarino L;La Joie R;Baker S;Borroni E;Klein G;Pontecorvo MJ;Devous MD Sr;Jagust WJ;Lyoo CH;Rabinovici GD;Hansson O
通讯作者：
Hansson O
影响因子：
6.4
作者：
Cummings, J.;Blennow, K.;Zetterberg, Henrik
通讯作者：
Zetterberg, Henrik