Characterization of white matter over 1-2 years in small vessel disease using MR-based quantitative susceptibility mapping and free-water mapping

被引:4
|
作者
Sun, Yawen [1 ]
Hu, Ying [1 ]
Qiu, Yage [1 ]
Zhang, Yuyao [2 ]
Jiang, Changhao [2 ]
Lu, Peiwen [3 ,4 ]
Xu, Qun [3 ,4 ,5 ]
Shi, Yuting [6 ]
Wei, Hongjiang [6 ]
Zhou, Yan [1 ]
机构
[1] Shanghai Jiao Tong Univ, Ren Ji Hosp, Sch Med, Dept Radiol, Shanghai, Peoples R China
[2] ShanghaiTech Univ, Sch Informat & Sci & Technol, Shanghai, Peoples R China
[3] Shanghai Jiao Tong Univ, Ren Ji Hosp, Sch Med, Dept Neurol, Shanghai, Peoples R China
[4] Shanghai Jiao Tong Univ, Ren Ji Hosp, Ren Ji UNSW CHeBA Neurocognit Ctr, Sch Med, Shanghai, Peoples R China
[5] Shanghai Jiao Tong Univ, Ren Ji Hosp, Dept Hlth, Sch Med,Manage Ctr, Shanghai, Peoples R China
[6] Shanghai Jiao Tong Univ, Sch Biomed Engn, Shanghai, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
small vessel disease; quantitative susceptibility mapping; free-water mapping; white matter lesions; normal-appearing white matter; COGNITIVE IMPAIRMENT; PARKINSONS-DISEASE; SUBSTANTIA-NIGRA; STROKE; HYPERINTENSITIES; PROGRESSION; INTEGRITY; DEMENTIA; MODEL;
D O I
10.3389/fnagi.2022.998051
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
PurposeThe aim of this study was to investigate alterations in white matter lesions (WMLs) and normal-appearing white matter (NAWM) with small vessel disease (SVD) over 1-2 years using quantitative susceptibility mapping (QSM) and free-water (FW) mapping. MethodsFifty-one SVD patients underwent MRI brain scans and neuropsychological testing both at baseline and follow-up. The main approach for treating these patients is the management of risk factors. Quantitative susceptibility (QS), fractional anisotropy (FA), mean diffusivity (MD), FW, FW-corrected FA (FA(T)), and FW-corrected MD (MDT) maps within WMLs and NAWM were generated. Furthermore, the JHU-ICBM-DTI label atlas was used as an anatomic guide, and the measurements of the segmented NAWMs were calculated. The average regional values were extracted, and a paired t-test was used to analyze the longitudinal change. Partial correlations were used to assess the relationship between the MRI indices changes (e.g., Delta QS(followup - baseline)/QS(baseline)) and the cognitive function changes (e.g., Delta MoCA(followup - baseline)/MoCA(baseline)). ResultsAfter SVD risk factor control, no gradual cognitive decline occurred during 1-2 years. However, we still found that the QS values (index of demyelination) increased in the NAWM at follow-up, especially in the NAWM part of the left superior frontal blade (SF), left occipital blade, right uncinate fasciculus, and right corticospinal tract (CST). FW (index of neuroinflammation/edema) analysis revealed that the follow-up group differed from the baseline group in the NAWM part of the right CST and inferior frontal blade (IF). Decreased FA(T) (index of axonal loss) was observed in the NAWM part of the right SF and IF at follow-up. In addition, the FA(T) changes in the NAWM part of the right IF were associated with overall cognitive performance changes. In contrast, no significant differences were found in the WMLs. ConclusionThe NAWM was still in the progressive injury process over time, while WMLs remained relatively stable, which supports the notion that SVD is a chronic progressive disease. The process of axonal loss in the NAWM part of the prefrontal lobe might be a biomarker of cognitive changes in the evolution of SVD.
引用
收藏
页数:13
相关论文
共 24 条
  • [1] Quantitative susceptibility mapping analyses of white matter in Parkinson's disease using susceptibility separation technique
    Nakashima, Masahiro
    Kan, Hirohito
    Kawai, Tatsuya
    Matsumoto, Kazuhisa
    Kawaguchi, Takatsune
    Uchida, Yuto
    Matsukawa, Noriyuki
    Hiwatashi, Akio
    PARKINSONISM & RELATED DISORDERS, 2024, 128
  • [2] Exploring cognitive related microstructural alterations in normal appearing white matter and deep grey matter for small vessel disease: A quantitative susceptibility mapping study
    Sun, Yawen
    Hu, Wentao
    Hu, Ying
    Qiu, Yage
    Chen, Yuewei
    Xu, Qun
    Wei, Hongjiang
    Dai, Yongming
    Zhou, Yan
    NEUROIMAGE, 2024, 298
  • [3] Free-water correction DTI-based tractography in brain tumor surgery: assessment with functional and electrophysiological mapping of the white matter
    Almairac, Fabien
    Parker, Drew
    Mondot, Lydiane
    Isan, Petru
    Onno, Marie
    Papadopoulo, Theodore
    Filipiak, Patryk
    Fontaine, Denys
    Verma, Ragini
    ACTA NEUROCHIRURGICA, 2023, 165 (06) : 1675 - 1681
  • [4] Free-water diffusion MRI detects structural alterations surrounding white matter hyperintensities in the early stage of cerebral small vessel disease
    Mayer, Carola
    Naegele, Felix L.
    Petersen, Marvin
    Frey, Benedikt M.
    Hanning, Uta
    Pasternak, Ofer
    Petersen, Elina
    Gerloff, Christian
    Thomalla, Goetz
    Cheng, Bastian
    JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 2022, 42 (09): : 1707 - 1718
  • [5] Free-water correction DTI-based tractography in brain tumor surgery: assessment with functional and electrophysiological mapping of the white matter
    Fabien Almairac
    Drew Parker
    Lydiane Mondot
    Petru Isan
    Marie Onno
    Théodore Papadopoulo
    Patryk Filipiak
    Denys Fontaine
    Ragini Verma
    Acta Neurochirurgica, 2023, 165 : 1675 - 1681
  • [6] Deep-Learning-Based MRI Microbleeds Detection for Cerebral Small Vessel Disease on Quantitative Susceptibility Mapping
    Xia, Peng
    Hui, Edward S.
    Chua, Bryan J.
    Huang, Fan
    Wang, Zuojun
    Zhang, Huiqin
    Yu, Han
    Lau, Kui Kai
    Mak, Henry K. F.
    Cao, Peng
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2024, 60 (03) : 1165 - 1175
  • [7] Advancing cerebral small vessel disease diagnosis: Integrating quantitative susceptibility mapping with MRI-based radiomics
    Cheng, Zhenyu
    Yang, Linfeng
    Liang, Changhu
    Li, Meng
    Li, Xianglin
    Chen, Yiwen
    Liang, Pengcheng
    Wang, Yuanyuan
    Zhang, Xinyue
    Wang, Na
    Gao, Yian
    Sui, Chaofan
    Guo, Lingfei
    HUMAN BRAIN MAPPING, 2024, 45 (13)
  • [8] Quantifying neuroinflammation within deep gray matter in small vessel disease using diffusion tensor based free-water imaging: a longitudinal study
    Sun, Yawen
    Han, Xu
    Li, Zhenghao
    Qiu, Yage
    Hu, Ying
    Zhang, Yuyao
    Dai, Yongming
    Wei, Hongjiang
    Xu, Qun
    Zhou, Yan
    FRONTIERS IN AGING NEUROSCIENCE, 2024, 16
  • [9] Quantitative Analysis of Punctate White Matter Lesions in Neonates Using Quantitative Susceptibility Mapping and R2*Relaxation
    Zhang, Y.
    Rauscher, A.
    Kames, C.
    Weber, A. M.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2019, 40 (07) : 1221 - 1226
  • [10] Editorial for "Deep-Learning-Based MRI Microbleeds Detection for Cerebral Small Vessel Disease on Quantitative Susceptibility Mapping"
    Laissy, Jean-Pierre
    Boukobza, Monique
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2024, 60 (03) : 1176 - 1177