An MRI-based strategy for differentiation of frontotemporal dementia and Alzheimer's disease.
An MRI-based strategy for differentiation of frontotemporal dementia and Alzheimer's disease.
复制标题
基于 MRI 的额颞叶痴呆和阿尔茨海默病鉴别策略
DOI：
10.1186/s13195-020-00757-5
复制
发表时间：
2021-01-12
期刊：
影响因子：
--
通讯作者：
Frontotemporal Lobar Degeneration Neuroimaging Initiative
中科院分区：
文献类型：
--
作者：
Yu Q;Mai Y;Ruan Y;Luo Y;Zhao L;Fang W;Cao Z;Li Y;Liao W;Xiao S;Mok VCT;Shi L;Liu J;National Alzheimer’s Coordinating Center, the Alzheimer’s Disease Neuroimaging Initiative;Frontotemporal Lobar Degeneration Neuroimaging Initiative
额颞叶痴呆（FTD）和阿尔茨海默病（AD）的鉴别诊断是困难的，由于临床症状的重叠。结构磁共振成像（sMRI）显示了明显的脑萎缩，并可能有助于区分。在这项研究中，我们的目标是通过利用AD和FTD之间存在显著差异的脑区域的体积测量来推导出一种新的综合指数，并开发一种基于MRI的策略来区分FTD和AD。在本研究中，数据采集自3个不同的数据库，包括NACC数据库中的47例FTD受试者、47例AD受试者和47例正常对照; ADNI数据库中的50例AD受试者; FTLDNI数据库中的50例FTD受试者。自动分割所有受试者的MR图像，并使用AccuBrain®定量脑萎缩，包括AD相似性萎缩指数（AD-RAI）。一种新的MRI指数，额颞叶痴呆指数（FTDI），是由“FTD占主导地位”的结构，从“AD占主导地位”的结构中获得的体积指数的加权和之间的比值。从NACC数据的统计分析中获得“FTD/AD显性”结构的权重和鉴别。使用ADNI和FTLDNI数据库的独立数据验证了FTDI的区分性能。AD-RAI是一种经证实的影像学生物标志物，可从NC中鉴别AD和FTD，其值显著较高（p < 0.001和AUC = 0.88），正如我们之前报告的那样，而AD和FTD之间无显著差异（p = 0.647）。FTDI在识别FTD与AD方面表现出出色的准确性（AUC = 0.90; SEN = 89%，SPE = 75%，阈值= 1.08）。使用来自ADNI和FTLDNI数据集的独立数据的验证也证实了FTDI的功效（AUC = 0.93; SEN = 96%，SPE = 70%，阈值= 1.08）。AD、FTD和正常老年人的脑萎缩表现出不同的模式。除了设计用于检测痴呆患者异常脑萎缩的AD-RAI外，还提出并验证了FTD特异性的新指标。通过结合AD-RAI和FTDI，进一步提出了一种基于MRI的决策策略，作为临床实践中AD和FTD鉴别诊断的一种有前途的解决方案。在线版本包含补充材料，可通过10.1186/s13195-020-00757-5获得。
The differential diagnosis of frontotemporal dementia (FTD) and Alzheimer’s disease (AD) is difficult due to the overlaps of clinical symptoms. Structural magnetic resonance imaging (sMRI) presents distinct brain atrophy and potentially helps in their differentiation. In this study, we aim at deriving a novel integrated index by leveraging the volumetric measures in brain regions with significant difference between AD and FTD and developing an MRI-based strategy for the differentiation of FTD and AD. In this study, the data were acquired from three different databases, including 47 subjects with FTD, 47 subjects with AD, and 47 normal controls in the NACC database; 50 subjects with AD in the ADNI database; and 50 subjects with FTD in the FTLDNI database. The MR images of all subjects were automatically segmented, and the brain atrophy, including the AD resemblance atrophy index (AD-RAI), was quantified using AccuBrain®. A novel MRI index, named the frontotemporal dementia index (FTDI), was derived as the ratio between the weighted sum of the volumetric indexes in “FTD dominant” structures over that obtained from “AD dominant” structures. The weights and the identification of “FTD/AD dominant” structures were acquired from the statistical analysis of NACC data. The differentiation performance of FTDI was validated using independent data from ADNI and FTLDNI databases. AD-RAI is a proven imaging biomarker to identify AD and FTD from NC with significantly higher values (p < 0.001 and AUC = 0.88) as we reported before, while no significant difference was found between AD and FTD (p = 0.647). FTDI showed excellent accuracy in identifying FTD from AD (AUC = 0.90; SEN = 89%, SPE = 75% with threshold value = 1.08). The validation using independent data from ADNI and FTLDNI datasets also confirmed the efficacy of FTDI (AUC = 0.93; SEN = 96%, SPE = 70% with threshold value = 1.08). Brain atrophy in AD, FTD, and normal elderly shows distinct patterns. In addition to AD-RAI that is designed to detect abnormal brain atrophy in dementia, a novel index specific to FTD is proposed and validated. By combining AD-RAI and FTDI, an MRI-based decision strategy was further proposed as a promising solution for the differential diagnosis of AD and FTD in clinical practice. The online version contains supplementary material available at 10.1186/s13195-020-00757-5.
登录
查看更多内容
DOI：
10.1016/j.nicl.2017.02.001
发表时间：
2017
期刊：
NeuroImage. Clinical
影响因子：
--
作者：
Meyer S;Mueller K;Stuke K;Bisenius S;Diehl-Schmid J;Jessen F;Kassubek J;Kornhuber J;Ludolph AC;Prudlo J;Schneider A;Schuemberg K;Yakushev I;Otto M;Schroeter ML;FTLDc Study Group
通讯作者：
FTLDc Study Group
DOI：
10.1016/j.jalz.2011.03.005
发表时间：
2011-05
期刊：
Alzheimer's & dementia : the journal of the Alzheimer's Association
影响因子：
--
作者：
McKhann GM;Knopman DS;Chertkow H;Hyman BT;Jack CR Jr;Kawas CH;Klunk WE;Koroshetz WJ;Manly JJ;Mayeux R;Mohs RC;Morris JC;Rossor MN;Scheltens P;Carrillo MC;Thies B;Weintraub S;Phelps CH
通讯作者：
Phelps CH
影响因子：
3.5
作者：
Chague, Pierre;Marro, Beatrice;Colliot, Olivier
通讯作者：
Colliot, Olivier
影响因子：
8.2
作者：
Gao, Lu;Liu, Lu;Xing, Bing
通讯作者：
Xing, Bing
影响因子：
4.2
作者：
Manera, Ana L.;Dadar, Mahsa;Ducharme, Simon
通讯作者：
Ducharme, Simon