MRI-based Alzheimer's disease-resemblance atrophy index in the detection of preclinical and prodromal Alzheimer's disease.
MRI-based Alzheimer's disease-resemblance atrophy index in the detection of preclinical and prodromal Alzheimer's disease.
复制标题
DOI：
10.18632/aging.203082
复制
发表时间：
2021-05-25
期刊：
影响因子：
--
通讯作者：
Alzheimer’s Disease Neuroimaging Initiative
中科院分区：
文献类型：
--
作者：
Liu W;Au LWC;Abrigo J;Luo Y;Wong A;Lam BYK;Fan X;Kwan PWL;Ma HW;Ng AYT;Chen S;Leung EYL;Ho CL;Wong SHM;Chu WC;Ko H;Lau AYL;Shi L;Mok VCT;Alzheimer’s Disease Neuroimaging Initiative
阿尔茨海默病相似性萎缩指数（AD-RAI）是一种基于MRI的机器学习衍生生物标志物，其被开发用于反映与AD相关的特征性脑萎缩。最近的研究表明，AD-RAI（≥0.5）在预测轻度认知功能障碍（MCI）向痴呆和认知功能正常（CU）向MCI的转化方面具有最好的性能。我们的目的是验证AD-RAI在检测临床前和前驱AD中的性能。我们从两个队列招募了128名受试者（MCI=50，CU=78）：CU-SEEDS和ADNI。通过PET（11 C-PIB、18 F-T807）或CSF分析确认淀粉样蛋白（A+）和tau（T+）状态。我们研究了AD-RAI在MCI和CU受试者中检测临床前和前驱AD（即A+T+）的性能，并将其性能与海马测量进行了比较。在所有受试者中（敏感性0.74，特异性0.91，准确性85.94%）和MCI受试者中（敏感性0.92，特异性0.81，准确性86.00%），AD-RAI在检测A+T+受试者方面优于其他指标。在CU受试者中，AD-RAI产生了最好的特异性（0.95）和准确性（85.90%）超过其他措施，而海马体积达到更高的灵敏度（0.73）比AD-RAI（0.47）在检测临床前AD。这些结果显示了AD-RAI在早期AD检测中的潜力，特别是在前驱期。
Alzheimer’s Disease-resemblance atrophy index (AD-RAI) is an MRI-based machine learning derived biomarker that was developed to reflect the characteristic brain atrophy associated with AD. Recent study showed that AD-RAI (≥0.5) had the best performance in predicting conversion from mild cognitive impairment (MCI) to dementia and from cognitively unimpaired (CU) to MCI. We aimed to validate the performance of AD-RAI in detecting preclinical and prodromal AD. We recruited 128 subjects (MCI=50, CU=78) from two cohorts: CU-SEEDS and ADNI. Amyloid (A+) and tau (T+) status were confirmed by PET (11C-PIB, 18F-T807) or CSF analysis. We investigated the performance of AD-RAI in detecting preclinical and prodromal AD (i.e. A+T+) among MCI and CU subjects and compared its performance with that of hippocampal measures. AD-RAI achieved the best metrics among all subjects (sensitivity 0.74, specificity 0.91, accuracy 85.94%) and among MCI subjects (sensitivity 0.92, specificity 0.81, accuracy 86.00%) in detecting A+T+ subjects over other measures. Among CU subjects, AD-RAI yielded the best specificity (0.95) and accuracy (85.90%) over other measures, while hippocampal volume achieved a higher sensitivity (0.73) than AD-RAI (0.47) in detecting preclinical AD. These results showed the potential of AD-RAI in the detection of early AD, in particular at the prodromal stage.
登录
查看更多内容
影响因子：
4.8
作者：
Insel, Philip S.;Mormino, Elizabeth C.;Donohue, Michael C.
通讯作者：
Donohue, Michael C.
影响因子：
14.5
作者：
Albert, Marilyn;Zhu, Yuxin;Wang, Mei-Cheng
通讯作者：
Wang, Mei-Cheng
影响因子：
9.9
作者：
Dickerson, B. C.;Stoub, T. R.;deToledo-Morrell, L.
通讯作者：
deToledo-Morrell, L.
影响因子：
1.3
作者：
Cavallin, Lena;Loken, Kirsti;Axeisson, Rimma
通讯作者：
Axeisson, Rimma
影响因子：
120.7
作者：
Jansen, Willemijn J.;Ossenkoppele, Rik;Knol, Dirk L.;Tijms, Betty M.;Scheltens, Philip;Verhey, Frans R. J.;Visser, Pieter Jelle
通讯作者：
Visser, Pieter Jelle