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山东大学学报 (医学版) ›› 2023, Vol. 61 ›› Issue (2): 72-77.doi: 10.6040/j.issn.1671-7554.0.2022.1184

• 临床医学 • 上一篇    下一篇

老年人颈动脉狭窄与脑白质结构网络拓扑属性的相关性

王少虎1,牟鑫2,许程飞3,赵颖馨1,张华1   

  1. 1.山东第一医科大学(山东省医学科学院)临床与基础医学院(基础医学研究所), 山东 济南 250118;2.济南市第三人民医院影像中心, 山东 济南 250132;3.天津市第三中心医院重症医学科, 天津 300170
  • 发布日期:2023-02-17
  • 通讯作者: 张华. E-mail:huazhang0709@163.com
  • 基金资助:
    国家自然科学基金(81973139);山东省自然科学基金(ZR2020MH043)

Relationship between carotid artery stenosis and white matter structural topological properties in the elderly

WANG Shaohu1, MU Xin2, XU Chengfei3, ZHAO Yingxin1, ZHANG Hua1   

  1. 1. School of Clinical and Basic Medical Sciences, Institute of Basic Medicine, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan 250118, Shandong, China;
    2. Department of Medical Imaging Center, Third Peoples Hospital of Jinan, Jinan 250132, Shandong, China;
    3. Department of Critical Care Medicine, Tianjin Third Central Hospital, Tianjin 300170, China
  • Published:2023-02-17

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摘要： 目的 探讨老年人颈动脉狭窄与脑白质结构网络拓扑属性之间的关系。 方法 选取济南地区颈动脉狭窄老年人101例为研究对象,根据北美症状性颈动脉内膜切除试验法(NASCET)分为轻(n=35)、中(n=34)、重度狭窄(n=32)组。采用确定性纤维追踪技术构建研究对象的脑白质结构网络;基于图论分析方法研究轻、中、重度狭窄组的脑白质结构网络拓扑属性之间的差异;运用多元线性回归分析颈动脉狭窄程度与脑白质结构网络拓扑属性之间的关系。 结果 重度狭窄组局部效率(Eloc)低于轻、中度狭窄组(P均<0.001),其最短路径长度(Lp)大于轻、中度狭窄组(P<0.001,P=0.016);中、重度狭窄组的聚类系数(Cp)低于轻度狭窄组(P=0.009,P<0.001);重度狭窄组的小世界属性(σ)低于轻度狭窄组(P=0.01)。多元线性回归分析结果显示,颈动脉狭窄程度分别与Eloc、Cp、σ呈负相关(Eloc:中度狭窄组β=-0.026,P=0.002,重度狭窄组β=-0.060,P<0.001;Cp:中度狭窄组β=-0.018,P=0.007,重度狭窄组β=-0.031,P<0.001;σ:中度狭窄组β=-0.195,P=0.026,重度狭窄组β=-0.301,P=0.001);颈动脉狭窄程度与Lp呈正相关(重度狭窄组β=0.346,P=0.007)。 结论 老年人颈动脉狭窄与脑白质结构网络拓扑属性相关,应针对该人群采取积极防治措施以延缓其脑白质损伤的进展。

关键词: 脑白质结构网络, 拓扑属性, 颈动脉狭窄, 老年人

Abstract: Objective To explore the relationship between carotid artery stenosis and white matter structural topological properties in the elderly. Methods According to the North American Symptomatic Carotid Endarterectomy Test(NASCET), 101 elderly people with carotid artery stenosis were divided into mild(n=35), moderate(n=34)and severe(n=32)stenosis groups. The white matter structure network was constructed with deterministic fiber tracking technology. Based on graph theory analysis, the differences among the topological attributes of white matter structure network in the three groups were analyzed. The relationship between the degree of carotid stenosis and topological attributes of white matter structure network was analyzed with multivariate linear regression. Results The local efficiency(Eloc)of severe stenosis group was lower than that of mild and moderate stenosis groups(both P<0.001), and the length of the shortest path(Lp)was greater than that of the other two group(P<0.001, P=0.016). The cluster coefficient(Cp)of moderate and severe stenosis groups was lower than that of mild stenosis group(P=0.009, P<0.001). The small world attribute(σ)of severe stenosis group was lower than that of mild stenosis group(P=0.01). The results of multivariate linear regression showed that the degree of carotid stenosis was negatively related to Eloc, Cp and σ(Eloc: moderate stenosis group β=-0.026, P=0.002, severe stenosis group β=-0.060, P<0.001; Cp: moderate stenosis group β=-0.018, P=0.007, severe stenosis group β=-0.031, P<0.001; σ: moderate stenosis group β=-0.195, P=0.026, severe stenosis group β=-0.301, P=0.001), but positively correlated with Lp(severe stenosis group β=0.346, P=0.007). Conclusion Carotid artery stenosis in the elderly is associated with the topological properties of the white matter structure network, so active prevention and treatment measures should be taken for this population to delay the progression of white matter injury.

Key words: White matter structure network, Topology property, Carotid artery stenosis, Elderly

中图分类号: 

  • R181.3
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