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颈动脉周围脂肪密度预测颅内斑块易损性的可行性研究

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目的 探讨颈动脉周围脂肪密度与不同类型颈动脉斑块及颅内斑块易损性的相关性。方法 回顾性分析90例同时行颈动脉计算机断层成像血管造影及高分辨率血管壁磁共振成像检查并诊断为颈动脉粥样硬化斑块的患者临床资料。根据颈动脉计算机断层成像血管造影中斑块成分将颈动脉斑块分为钙化斑块组(n = 22)、混合斑块组(n = 23)和非钙化斑块组(n = 45)。筛选颈动脉周围脂肪组织炎症更重的混合斑块组和非钙化斑块组中存在同侧颅内动脉斑块患者49例,根据高分辨率血管壁磁共振成像检查将其分为易损斑块组(n = 36)和稳定斑块组(n = 13)。使用Perivascular Fat Analysis Tool软件和手动勾画相结合方式识别和测量颈动脉斑块周围脂肪密度。独立样本t检验、单因素方差分析、Mann-Whitney U检验、Kruskal-Wallis秩和检验和χ2检验用于比较组间差异。绘制受试者操作特征曲线分析模型评估颅内斑块易损性。结果 钙化斑块组、混合斑块组和非钙化斑块组颈动脉周围脂肪密度值分别为-53。03[-46。02,-56。12]、-43。18[-39。30,-46。07]、-42。88[-39。86,-47。29]。与钙化斑块组相比,非钙化斑块组和混合斑块组颈动脉周围脂肪密度更高(P<0。001)。颈动脉周围脂肪密度是颅内易损斑块的独立危险因素(P = 0。003,OR = 1。165,95%CI:[1。054,1。287])。颈动脉周围脂肪密度对颅内动脉斑块易损性具有较好的预测价值,受试者操作特征曲线下面积为0。786,灵敏度和特异度分别为91。67%、61。54%。结论 颈动脉周围脂肪密度是预测颈动脉不同类型斑块及颅内动脉斑块易损性的有效标记物,可以为影像诊断提供支持。
Feasibility of pericarotid fat density in predicting intracranial arterial plaque vulnerability
Objective To investigate the correlation of pericarotid fat density with the different types of carotid plaque and the vulnerability of intracranial plaques.Methods Data of 90 patients who were diagnosed of carotid artery atherosclerotic plaque and had undergone carotid artery computed tomography angiography and high resolution vascular wall magnetic resonance imaging were retrospectively analyzed.Carotid plaques were divided into a calcified plaque group(n=22),mixed plaque group(n=23)and non-calcified plaque group(n=45)according to plaque composition on carotid artery computed tomography angiography.A total of 49 patients with ipsilateral intracranial artery plaque were screened from the mixed plaque group and non-calcified plaque group with more severe inflammation of perivascular adipose tissue,and the intracranial artery plaques were divided into a vulnerable plaque group(n=36)and stable plaque group(n=13)according to high resolution vascular wall magnetic resonance imaging.Pericarotid fat density was identified and measured using a combination of Perivascular Fat Analysis Tool software and manual profiling.Independent sample t test,one-way anova,Mann-Whitney U test,Kruskal-Wallis test and Chi-square test were used to compare the differences between the groups.A receiver operating characteristic curve analysis model was plotted to assess the vulnerability of intracranial plaque.Results The pericarotid fat density of calcified plaque,mixed plaque and non-calcified plaque groups were-53.03[-46.02,-56.12],-43.18[-39.30,-46.07],and-42.88[-39.86,-47.29],respectively.Compared with the calcified plaque group,the pericarotid fat densi-ty in the non-calcified plaque group and mixed plaque group were higher,and the difference was statistically significant(P<0.001).Pericarotid fat density(P=0.003,OR=1.165,95%CI:[1.054,1.287]),as an independent risk factor for vulnerable intracranial plaque,had a good predictive value for the vulnerability of intracranial arterial plaque,with the area under the curve being 0.786,and sensitivity and specificity being 91.67%and 61.54%,respectively.Conclusion Pericarotid fat density is an effective marker for predicting the vulnerability of different types of carotid artery plaque and intracranial artery plaque,and can provide support for imaging diagnosis.

pericarotid fat densityhigh resolution vascular wall magnetic resonance imagingcomputed tomography angiographycarotid plaqueintracranial artery plaque vulnerability

刘春翠、张艳利、徐静菲、马芹芹、王莎、雷军强

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兰州大学 第一临床医学院,甘肃 兰州 730000

兰州大学第一医院放射科,甘肃 兰州 730000

兰州大学第一医院甘肃省智能影像医学工程研究中心,甘肃 兰州 730000

兰州大学第一医院精准影像协同创新甘肃省国际科技合作基地,甘肃 兰州 730000

兰州大学第一医院甘肃省放射影像临床医学研究中心,甘肃 兰州 730000

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颈动脉周围脂肪密度 高分辨率血管壁磁共振成像 计算机断层成像血管造影 颈动脉斑块 颅内动脉易损斑块

兰州大学大学生创新创业训练计划行动计划

20230060207

2024

兰州大学学报(医学版)
兰州大学

兰州大学学报(医学版)

CSTPCD
影响因子:0.641
ISSN:1000-2812
年,卷(期):2024.50(3)
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