4.5 Article

Quantitative Susceptibility Mapping of Amyloid-β Aggregates in Alzheimer's Disease with 7T MR

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JOURNAL OF ALZHEIMERS DISEASE
卷 64, 期 2, 页码 393-404

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IOS PRESS
DOI: 10.3233/JAD-180118

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Alzheimer's disease; amyloid; iron accumulation; quantitative susceptibility mapping; 7T MRI

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Background: PET imaging is an established technique to detect cerebral amyloid-beta (A beta) plaques in vivo. Some preclinical and postmortem data report an accumulation of redox-active iron near A beta plaques. Quantitative susceptibility mapping (QSM) at high-field MRI enables iron deposits to be depicted with high spatial resolution. Objective: Aim of this study was to examine whether iron and A beta plaque accumulation is related and thus, whether 7T MRI might be an additive diagnostic tool to A beta PET imaging. Methods: Postmortem human Alzheimer's disease (AD) and healthy control (HC) frontal gray matter (GM) was imaged with 7T MRI which resulted in T1 maps and QSM. A beta plaque load was determined by histopathology. In vivo, 10 A beta PET-positive AD patients (74.1 +/- 6.0a) and 10 A beta PET-negative HCs (67.1 +/- 4.4a) underwent 7T MR examination and QSM maps were analyzed. Severity of cognitive deficits was determined by MMSE. Results: Postmortem, the susceptibility of A beta plaque-containing GM were higher than those of A beta plaque-free GM (0.011 +/- 0.002 versus -0.008 +/- 0.003 ppm, p < 0.001). In vivo, only the bilateral globus pallidus showed significantly higher susceptibility in AD patients compared to HCs (right: 0.277 +/- 0.018 versus -0.009 +/- 0.009 ppm; left: 0.293 +/- 0.014 versus -0.007 +/- 0.012 ppm, p < 0.0001). The pallidal QSM values were negatively correlated with those of the MMSE (r = -0.69, p = 0.001). Conclusion: The postmortem study revealed significant susceptibility differences between the A beta plaque-containing and A beta plaque-free GM, whereas in vivo only the QSM values of the globus pallidus differed significantly between AD and HC group. The pallidal QSM values correlated with the severity of cognitive deficits. These findings encourage efforts to optimize the 7T-QSM methodology.

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