Diffusion tensor imaging revealed different pathological processes of white matter hyperintensities.

Background: Although increasing evidence showed the correlations between white matter hyperintensities (WMHs) and cognitive impairment, the relationship between them is still modest. Many researchers began to focus on the variation caused by the heterogeneity of WMH. We tried to explore the patholog...

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Publicado en:BMC Neurology Vol. 21; no. 1; pp. 1 - 13
Autores principales: Min, Zhi-gang, Shan, Hai-rong, Xu, Long, Yuan, Dai-hai, Sheng, Xue-xia, Xie, Wen-chao, Zhang, Ming, Niu, Chen, Shakir, Tahir Mehmood, Cao, Zhi-hong
Formato: Journal Article
Publicado: BioMed Central 3/19/2021
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 3/19/2021
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      pub: BioMed Central
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        NLM33740898
        10.1186/s12883-021-02140-9
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        149371170
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        atl: Diffusion tensor imaging revealed different pathological processes of white matter hyperintensities.
      aug:
        au:
          Min, Zhi-gang
          Shan, Hai-rong
          Xu, Long
          Yuan, Dai-hai
          Sheng, Xue-xia
          Xie, Wen-chao
          Zhang, Ming
          Niu, Chen
          Shakir, Tahir Mehmood
          Cao, Zhi-hong
        affil: Department of Radiology, The Affiliated Yixing Hospital of Jiangsu University, NO.75 Tongzhenguan Road, 214200, Yixing, Jiangsu Province, P.R. China
      sug:
        subj:
          Magnetic Resonance Imaging Methods
          Brain Pathology
          Aged, 80 and Over
          Male
          Aged
          Female
          Aged, 80 & over
          Aged: 65+ years
          Male
          Female
      ab: Background: Although increasing evidence showed the correlations between white matter hyperintensities (WMHs) and cognitive impairment, the relationship between them is still modest. Many researchers began to focus on the variation caused by the heterogeneity of WMH. We tried to explore the pathological heterogeneity in WMH by using diffusion tensor imaging (DTI), so as to provide a new insight into the future research.Methods: Diffusion weighted images (DWIs) of the brain were acquired from 73 patients with WMH and 18 healthy controls, which were then modeled by DTI. We measured fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) of white matter of the periventricular frontal lobe (pFL), periventricular occipital lobe (pOL), periventricular parietal lobe (pPL) and deep centrum ovales (dCO), and grouped these measures according to the Fazekas scale. Then we compared the DTI metrics of different regions with the same Fazekas scale grade.Results: Significantly lower FA values (all p < 0.001), and higher MD (all p < 0.001) and RD values (all p < 0.001) were associated with WMH observed in the periventricular frontal lobe (pFL) compared to all other regions with the same Fazekas grades. The AD of WMH in the pFL was higher than that of pPL and dCO, but the differences between groups was not as high as of MD and RD, as indicated by the effect size. In the normal control group, DTI metrics between pFL and other regions were not significantly different or less significant different. The difference of DTI metrics of WMH between pPL, pOL and dCO was lower than that of normal white matter, as indicated by the effect size.Conclusion: Distinct pathological processes can be revealed by DTI between frontal periventricular WMH and other regions. These processes may represent the effects of severe demyelination within the frontal periventricular WMH.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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