Neurology: Multi-diffusion imaging model can be used to evaluate the white matter characterization of cerebral small vessel disease

Cerebral small vessel disease (SVD) is the most important vascular factor leading to cognitive decline and dementia

Vascular diagnosis

The journal Neurology tested the hypothesis that the multiple diffusion model improves the characteristics of microstructural changes in cerebrovascular disease (SVD), and evaluated the correlation between processing speed, longitudinal changes, and the repeatability of diffusion indicators

The journal

The study included 50 sporadic patients and 59 patients genetically defined as SVD (autosomal dominant arterial disease with subcortical infarction and leukoencephalopathy [CADASIL]) cognitive testing and standardized 3T MRI (including multiple Diffusion imaging) functional data

The correlation between whole brain diffusion index and processing speed

The correlation between whole brain diffusion index and processing speed

The correlation between local diffusion index and processing speed

The correlation between local diffusion index and processing speed

Among sporadic SVD patients and CADASIL patients with low SVD burden, DKI indicators show the strongest correlation with processing speed performance (R ² up to 21%) ² , and in addition to traditional SVD imaging markers, there are The biggest added benefit

Multiple diffusion imaging and DKI have improved the detection and characterization of cognitive-related microstructural white matter changes in SVD

In summary, this study evaluated the characterization of SVD microstructure changes by multiple diffusion imaging and advanced diffusion models

The high-level indicators of DKI and NODDI have the strongest correlation with cognitive deficits; ( The high-level indicators of DKI and NODDI have the strongest correlation with cognitive deficits; ( DTI DTI and DKI indicators perform best in detecting short-term disease progression; and DKI indicators perform best in detecting short-term disease progression; DTI DTI and DKI indicators have good reproducibility, but NODDI model indicators have poor reproducibility and DKI indicators have good reproducibility, but NODDI model indicators The poor reproducibility encourages the use of multiple diffusion imaging in multicenter research and clinical care, especially DKI to describe SVD-related white matter damage.

Konieczny MJ, Dewenter A, Ter Telgte A, et al.

Konieczny MJ, Dewenter A, Ter Telgte A, et al.
Multi-shell Diffusion MRI Models for White Matter Characterization in Cerebral Small Vessel Disease.
Neurology .
2021;96(5):e698-e708.
doi:10.
1212/WNL.
0000000000011213 Konieczny MJ, Dewenter A, in Telgte, Ter A, et Al.
the shell the Multi-Diffusion Models for the MRI Cerebral White Matter Characterization in the Small Vessel Disease.
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Neurology

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