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Detecting normal pediatric brain development with diffusional kurtosis imaging

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单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Radiol, Wuhan, Hubei, Peoples R China [2]Childrens Hosp, Dept Radiol, Wuhan, Hubei, Peoples R China
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关键词: Diffusional kurtosis imaging MRI Pediatric Brain development

摘要:
Purpose: To characterise the pattern of change of diffusional kurtosis imaging (DKI) parameters (including kurtosis and diffusion parameters) in both white matter and gray matter in normal brain development with a large sample of subjects from term-born neonates to 14-years old children. Methods: Two hundred and eighteen normal children (136 male, 82 female) underwent conventional magnetic resonance imaging and DKI. Regions of interest (ROIs) were placed in 7 white matter areas and 4 gray matter areas. Then the DKI-derived parameters were automatically calculated, including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (Da), radial diffusivity (Dr), mean kurtosis (MK), axial kurtosis (Ka) and radial kurtosis (Kr). The correlation between the DKI parameters and ages were analyzed using nonlinear fit, and the rate of parameter change was computed compared to the baseline value of the neonates. Results: For all ROIs in the white matter and gray matter, the FA, MK, Kr, Ka values increased with age, while the MD and Dr values decreased with age. The correlations were good to excellent, which changed rapidly within the first 2 years and relatively slowly after 2 years. The Da values in peripheral white matters and some gray matter structures (caudate nucleus and putamen) decreased with age. The amplitude of kurtosis parameters variation was greater than that of the diffusion parameters in both white matter and gray matter. Conclusions: The DKI parameters correlated well with age, and kurtosis parameters showed a potential advantage in detecting the normal brain development of children.

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出版当年[2018]版:
大类 | 3 区 医学
小类 | 3 区 核医学
最新[2025]版:
大类 | 2 区 医学
小类 | 2 区 核医学
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出版当年[2017]版:
Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2017版] 出版当年五年平均 出版前一年[2016版] 出版后一年[2018版]

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第一作者单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Radiol, Wuhan, Hubei, Peoples R China
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通讯机构: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Radiol, Wuhan, Hubei, Peoples R China [2]Childrens Hosp, Dept Radiol, Wuhan, Hubei, Peoples R China [*1]Tongji Hosp, Dept Radiol, 1095 Jiefang Ave, Wuhan 430030, Hubei, Peoples R China
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