ARTS: A novel In-vivo classifier of arteriolosclerosis for the older adult brain.
ARTS: A novel In-vivo classifier of arteriolosclerosis for the older adult brain.
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DOI：
10.1016/j.nicl.2021.102768
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Arfanakis K
中科院分区：
文献类型：
--
作者：
Makkinejad N;Evia AM;Tamhane AA;Javierre-Petit C;Leurgans SE;Lamar M;Barnes LL;Alzheimer's Disease Neuroimaging Initiative;Bennett DA;Schneider JA;Arfanakis K
ARTS是脑小动脉硬化的体内分类器。ARTS接受了离体脑MRI和神经病理学数据培训。ARTS在预测体内小动脉硬化方面表现出良好的性能。较高的ARTS评分与认知能力的两年下降速度相关。脑小动脉硬化症是脑小血管疾病的主要病理之一，在老年人中很常见，并且与认知和运动功能降低以及痴呆症的几率增加有关。尽管其发生率和相关的发病率，小动脉硬化症只能在尸检中诊断。因此，这项工作的目的是开发一种基于脑MRI的小动脉硬化症的体内分类器。首先，基于与白色高信号、扩散各向异性和人口统计学相关的特征，通过将机器学习应用于来自拉什记忆和衰老项目（MAP）和宗教秩序研究（ROS）的119名参与者的离体MRI和病理学数据，开发了小动脉硬化的离体分类器，这两项纵向队列研究招募了非痴呆老年人。离体分类器在预测小动脉硬化症的存在方面表现出良好的性能，接受者工作特征曲线下的平均面积AUC = 0.78。然后基于相同参与者的可用体内和体外MRI数据将体外分类器转换为体内分类器。体内分类器被命名为ARTS（ARTerioloSclerosis的缩写），是完全自动化的，并提供与一个人患有小动脉硬化症的可能性相关的评分。ARTS在预测体内小动脉硬化症的存在方面的性能在一个单独的、91%无痴呆的79名MAP/ROS参与者组中进行了测试，并且在死前间隔短于2.4年的人中表现出AUC = 0.79。考虑到小动脉硬化症只能在尸检中诊断，大多数非痴呆老年人的这种表现水平是值得注意的。ARTS评分的扫描-再扫描再现性非常好，组内相关性为0.99，这表明在纵向研究中应用ARTS可能在检测微小变化方面显示出高灵敏度。最后，非痴呆老年人较高的ARTS评分与基线MRI后两年内认知能力的下降相关，特别是与小动脉硬化和小血管疾病相关的感知速度。这一发现在一个单独的369名非痴呆MAP/ROS参与者中得到了证实，并在少数民族老龄化研究（MARS）的72名非痴呆黑人参与者和阿尔茨海默病神经成像倡议2和3的244名非痴呆参与者中得到了验证。这项工作的结果表明，ARTS可能在诊断，预防和治疗小动脉硬化症的进步具有广泛的意义。ARTS可在https://www.nitrc.org/projects/arts/上公开获取。
ARTS is an in-vivo classifier of brain arteriolosclerosis. ARTS was trained on ex-vivo brain MRI and neuropathology data. ARTS exhibited good performance in predicting arteriolosclerosis in-vivo. Higher ARTS score was associated with faster two-year decline in cognition. Brain arteriolosclerosis, one of the main pathologies of cerebral small vessel disease, is common in older adults and has been linked to lower cognitive and motor function and higher odds of dementia. In spite of its frequency and associated morbidity, arteriolosclerosis can only be diagnosed at autopsy. Therefore, the purpose of this work was to develop an in-vivo classifier of arteriolosclerosis based on brain MRI. First, an ex-vivo classifier of arteriolosclerosis was developed based on features related to white matter hyperintensities, diffusion anisotropy and demographics by applying machine learning to ex-vivo MRI and pathology data from 119 participants of the Rush Memory and Aging Project (MAP) and Religious Orders Study (ROS), two longitudinal cohort studies of aging that recruit non-demented older adults. The ex-vivo classifier showed good performance in predicting the presence of arteriolosclerosis, with an average area under the receiver operating characteristic curve AUC = 0.78. The ex-vivo classifier was then translated to in-vivo based on available in-vivo and ex-vivo MRI data on the same participants. The in-vivo classifier was named ARTS (short for ARTerioloSclerosis), is fully automated, and provides a score linked to the likelihood a person suffers from arteriolosclerosis. The performance of ARTS in predicting the presence of arteriolosclerosis in-vivo was tested in a separate, 91% dementia-free group of 79 MAP/ROS participants and exhibited an AUC = 0.79 in persons with antemortem intervals shorter than 2.4 years. This level of performance in mostly non-demented older adults is notable considering that arteriolosclerosis can only be diagnosed at autopsy. The scan-rescan reproducibility of the ARTS score was excellent, with an intraclass correlation of 0.99, suggesting that application of ARTS in longitudinal studies may show high sensitivity in detecting small changes. Finally, higher ARTS scores in non-demented older adults were associated with greater decline in cognition two years after baseline MRI, especially in perceptual speed which has been linked to arteriolosclerosis and small vessel disease. This finding was shown in a separate group of 369 non-demented MAP/ROS participants and was validated in 72 non-demented Black participants of the Minority Aging Research Study (MARS) and also in 244 non-demented participants of the Alzheimer's Disease Neuroimaging Initiative 2 and 3. The results of this work suggest that ARTS may have broad implications in the advancement of diagnosis, prevention and treatment of arteriolosclerosis. ARTS is publicly available at https://www.nitrc.org/projects/arts/.
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DOI：
10.1136/bmj.c3666
发表时间：
2010-07-26
期刊：
BMJ (Clinical research ed.)
影响因子：
--
作者：
Debette S;Markus HS
通讯作者：
Markus HS
影响因子：
3.2
作者：
Crane, Paul K.;Carle, Adam;Gibbons, Laura E.;Insel, Philip;Mackin, R. Scott;Gross, Alden;Jones, Richard N.;Mukherjee, Shubhabrata;Curtis, S. McKay;Harvey, Danielle;Weiner, Michael;Mungas, Dan
通讯作者：
Mungas, Dan
DOI：
10.3233/jad-179939
发表时间：
2018
期刊：
Journal of Alzheimer's disease : JAD
影响因子：
--
作者：
Bennett DA;Buchman AS;Boyle PA;Barnes LL;Wilson RS;Schneider JA
通讯作者：
Schneider JA
影响因子：
11.2
作者：
Nag, Sukriti;Yu, Lei;Schneider, Julie A.
通讯作者：
Schneider, Julie A.
影响因子：
9.9
作者：
Buchman, Aron S.;Yu, Lei;Bennett, David A.
通讯作者：
Bennett, David A.