Quantitative susceptibility mapping to evaluate the early stage of Alzheimer's disease.
Quantitative susceptibility mapping to evaluate the early stage of Alzheimer's disease.
复制标题
定量敏感性映射以评估阿尔茨海默氏病的早期阶段。
DOI:
10.1016/j.nicl.2017.08.019
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发表时间:
2017
期刊:
影响因子:
--
通讯作者:
Jahng GH
中科院分区:
文献类型:
--
作者:
Kim HG;Park S;Rhee HY;Lee KM;Ryu CW;Rhee SJ;Lee SY;Wang Y;Jahng GH
The objective of this study was to evaluate susceptibility changes caused by iron accumulation in cognitive normal (CN) elderly, those with amnestic mild cognitive impairment (aMCI), and those with early state AD, and to compare the findings with gray matter volume (GMV) changes caused by neuronal loss. The participants included 19 elderly CN, 19 aMCI, and 19 AD subjects. The voxel-based quantitative susceptibility map (QSM) and GMV in the brain were calculated and the differences of those insides were compared among the three groups. The differences of the QSM data and GMVs among the three groups were investigated by voxel-based and region of interest (ROI)-based comparisons using a one-way analysis of covariance (ANCOVA) test with the gender and age as covariates. Finally, a receiver-operating-characteristic (ROC) curve analysis was performed. The voxel-based results showed that QSM demonstrated more areas with significant difference between the CN and AD groups compared to GMV. GMVs were decreased, but QSM values were increased in aMCI and AD groups compared with the CN group. QSM better differentiated aMCI from CN than GMV in the precuneus and allocortex regions. In the accumulation regions of iron and amyloid β, QSM can be used to differentiate between CN and aMCI groups, indicating a useful an auxiliary imaging for early diagnosis of AD. The susceptibility difference was more sensitive than GMV change in known regions of iron and the amyloid β accumulations. QSM values were increased in patients compared with normal elderly and better differentiated aMCI from CN than GMV values. The QSM technology can be used as an auxiliary imaging for early diagnosis of AD.
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影响因子:
64.5
作者:
Duce JA;Tsatsanis A;Cater MA;James SA;Robb E;Wikhe K;Leong SL;Perez K;Johanssen T;Greenough MA;Cho HH;Galatis D;Moir RD;Masters CL;McLean C;Tanzi RE;Cappai R;Barnham KJ;Ciccotosto GD;Rogers JT;Bush AI
通讯作者:
Bush AI
影响因子:
3.7
作者:
Acosta-Cabronero J;Williams GB;Cardenas-Blanco A;Arnold RJ;Lupson V;Nestor PJ
通讯作者:
Nestor PJ
DOI:
10.1098/rsif.2014.0165
发表时间:
2014-06-06
期刊:
Journal of the Royal Society, Interface
影响因子:
--
作者:
Everett J;Céspedes E;Shelford LR;Exley C;Collingwood JF;Dobson J;van der Laan G;Jenkins CA;Arenholz E;Telling ND
通讯作者:
Telling ND
影响因子:
3.3
作者:
Liu, Tian;Liu, Jing;Wang, Yi
通讯作者:
Wang, Yi
影响因子:
4.2
作者:
CONNOR, JR;SNYDER, BS;MUFSON, EJ
通讯作者:
MUFSON, EJ