Quantitative Susceptibility Mapping of Brain Iron Relating to Cognitive Impairment in Hypertension

被引:8
|
作者
Qin, Ziji [1 ,2 ]
Wu, Wenjun [1 ,2 ]
Liu, Dingxi [1 ,2 ]
Zheng, Chuansheng [1 ,2 ]
Kang, Jiamin [1 ,2 ]
Zhou, Hongyan [1 ,2 ]
Meng, Xueni [1 ,2 ]
Haacke, E. Mark [3 ,4 ]
Wang, Lixia [1 ,2 ]
机构
[1] Huazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Dept Radiol, Wuhan, Peoples R China
[2] Hubei Prov Key Lab Mol Imaging, Wuhan, Peoples R China
[3] Magnet Resonance Innovat, Bingham Farms, MI USA
[4] Wayne State Univ, Dept Radiol, Detroit, MI USA
关键词
hypertension; brain; iron; quantitative susceptibility mapping; DEPOSITION; ACCUMULATION; DYSFUNCTION; RISK;
D O I
10.1002/jmri.28043
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background Hypertension (HTN) might impair cognition. Brain iron deposition correlates with cognitive impairment. The relationship between brain iron and cognition in HTN patients is less clear. Purpose To measure brain susceptibility in HTN patients using quantitative susceptibility mapping (QSM) and to explore the relationship between brain iron and cognition. Study Type Retrospective cross-sectional study. Subjects Sixty HTN patients (35 with mild cognitive impairment [MCI] and 25 without MCI) and 24 age, gender, and education matched controls. Field Strength/Sequence 3 T; strategically acquired gradient echo (STAGE) imaging protocol for QSM analysis. Assessment All subjects underwent Montreal Cognitive Assessment (MoCA) scoring of visuospatial/executive, naming, attention, abstraction, language, delayed memory, and orientation functions. HTN patients were divided into two groups (with and without MCI) depending on the MoCA score. Regions of interest (ROIs) were manually demarcated on the STAGE images by three independent radiologists and susceptibility were determined for bilateral frontal white matter, parietal white matter, occipital white matter, caudate nucleus (CN), putamen (PU), globus pallidus (GP), thalamus (TH), red nucleus (RN), substantia nigra (SN), and dentate nucleus (DN). Statistical Tests Analysis of variance with post-hoc least significant difference (LSD) tests and Pearson correlation coefficients (r). A P-value The susceptibility was significantly different in CN, PU, and DN among the three groups. The susceptibility of right CN and left PU were correlated with MoCA scores (r = -0.429 and r = -0.389, respectively). The susceptibility of left PU was also correlated with delayed memory scores (r = -0.664). The susceptibility of left and right GP were correlated with naming scores (r = -0.494 and r = -0.446, respectively) and the susceptibility of left DN were correlated with visuospatial/executive scores (r = 0.479). Data Conclusion QSM measured brain iron was significantly higher in CN, PU, and DN in HTN patients. Cognitive impairment was correlated with regional brain iron deposition. Level of Evidence 2 Technical Efficacy Stage 3
引用
收藏
页码:508 / 515
页数:8
相关论文
共 50 条
  • [41] Clinical feasibility of brain quantitative susceptibility mapping
    Zhang, Shun
    Liu, Zhe
    Nguyen, Thanh D.
    Yao, Yihao
    Gillen, Kelly M.
    Spincemaille, Pascal
    Kovanlikaya, Ilhami
    Gupta, Ajay
    Wang, Yi
    MAGNETIC RESONANCE IMAGING, 2019, 60 : 44 - 51
  • [42] Susceptibility-weighted imaging and quantitative susceptibility mapping in the brain
    Liu, Chunlei
    Li, Wei
    Tong, Karen A.
    Yeom, Kristen W.
    Kuzminski, Samuel
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2015, 42 (01) : 23 - 41
  • [43] Machine learning trained with quantitative susceptibility mapping to detect mild cognitive impairment in Parkinson's disease
    Shibata, Haruto
    Uchida, Yuto
    Inui, Shohei
    Kan, Hirohito
    Sakurai, Keita
    Oishi, Naoya
    Ueki, Yoshino
    Oishi, Kenichi
    Matsukawa, Noriyuki
    PARKINSONISM & RELATED DISORDERS, 2022, 94 : 104 - 110
  • [44] Decreasing iron susceptibility with temperature in quantitative susceptibility mapping: A phantom study
    Kan, Hirohito
    Uchida, Yuto
    Arai, Nobuyuki
    Takizawa, Masahiro
    Miyati, Tosiaki
    Kunitomo, Hiroshi
    Kasai, Harumasa
    Shibamoto, Yuta
    MAGNETIC RESONANCE IMAGING, 2020, 73 : 55 - 61
  • [45] Quantitative Susceptibility Mapping Indicates a Disturbed Brain Iron Homeostasis in Neuromyelitis Optica - A Pilot Study
    Doring, Thomas Martin
    Granado, Vanessa
    Rueda, Fernanda
    Deistung, Andreas
    Reichenbach, Juergen R.
    Tukamoto, Gustavo
    Gasparetto, Emerson Leandro
    Schweser, Ferdinand
    PLOS ONE, 2016, 11 (05):
  • [46] Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation With Brain Iron in Normal Aging
    Poynton, Clare B.
    Jenkinson, Mark
    Adalsteinsson, Elfar
    Sullivan, Edith V.
    Pfefferbaum, Adolf
    Wells, William, III
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2015, 34 (01) : 339 - 353
  • [47] Measuring iron in the brain using quantitative susceptibility mapping and X-ray fluorescence imaging
    Zheng, Weili
    Nichol, Helen
    Liu, Saifeng
    Cheng, Yu-Chung N.
    Haacke, E. Mark
    NEUROIMAGE, 2013, 78 : 68 - 74
  • [48] Quantitative susceptibility mapping in the brain reflects spatial expression of genes involved in iron homeostasis and myelination
    Cohen, Zoe
    Lau, Laurance
    Ahmed, Maruf
    Jack, Clifford R.
    Liu, Chunlei
    HUMAN BRAIN MAPPING, 2024, 45 (09)
  • [49] Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study
    Langkammer, Christian
    Schweser, Ferdinand
    Krebs, Nikolaus
    Deistung, Andreas
    Goessler, Walter
    Scheurer, Eva
    Sommer, Karsten
    Reishofer, Gernot
    Yen, Kathrin
    Fazekas, Franz
    Ropele, Stefan
    Reichenbach, Juergen R.
    NEUROIMAGE, 2012, 62 (03) : 1593 - 1599
  • [50] Brain iron assessment in patients with First-episode schizophrenia using quantitative susceptibility mapping
    Xu, Man
    Guo, Yihao
    Cheng, Junying
    Xue, Kangkang
    Yang, Meng
    Song, Xueqin
    Feng, Yanqiu
    Cheng, Jingliang
    NEUROIMAGE-CLINICAL, 2021, 31