Article Summary
胡宇恒,赵文超,童 俊,刘 茹,夏雨荷.对比增强高分辨率MRI评价大脑中动脉斑块的时程变化与脑脊液炎性因子水平的相关性[J].现代生物医学进展英文版,2023,(4):636-640.
对比增强高分辨率MRI评价大脑中动脉斑块的时程变化与脑脊液炎性因子水平的相关性
Correlation between Time-course Changes of Middle Cerebral Artery Plaques and the Levels of Inflammatory Factors in Cerebrospinal Fluid Assessed by Contrast-enhanced High-resolution MRI
Received:April 15, 2022  Revised:May 12, 2022
DOI:10.13241/j.cnki.pmb.2023.04.007
中文关键词: 18F-FDG-PET/CT  磁共振动态增强成像  脑脊液  动脉斑块
英文关键词: 18F-FDG-PET/CT  DCE-MRI  Cerebrospinal fluid  Arterial plaque
基金项目:中国管理科学研究院教育科学项目(YKK15173)
Author NameAffiliationE-mail
胡宇恒 南京中医药大学附属南京市中西医结合医院放射科 江苏 南京 210014 HH2022217@163.com 
赵文超 南京中医药大学附属南京市中西医结合医院放射科 江苏 南京 210014  
童 俊 南京中医药大学附属南京市中西医结合医院放射科 江苏 南京 210014  
刘 茹 南京中医药大学附属医院(江苏省中医院)影像科 江苏 南京 210014  
夏雨荷 南京中医药大学附属医院(江苏省中医院)影像科 江苏 南京 210014  
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中文摘要:
      摘要 目的:探究对比增强高分辨率MRI评价大脑中动脉斑块的时程变化与脑脊液炎性因子水平的相关性。方法:采用高脂饮食联合两次球囊内皮剥脱术,在45只新西兰白兔的主动脉中诱导动脉粥样硬化斑块。27只兔子继续相同的饮食,而18只兔子除了饮食外还接受了吡格列酮(10 mg/kg口服)。36只动物接受了18F-FDG-PET/CT,45只动物在基线、治疗开始后1个月和3个月接受了 DCE-MRI。同时,监测脑脊液代谢参数。成像完成后进行主动脉组织学分析和相关性分析。结果:18F-FDG-PET/CT检测到对照组平均标准化摄取值(SUV)升高(P<0.05),而治疗组SUV值稳定。DCE-MRI 检测到吡格列酮组的曲线下面积(AUC)降低(P<0.05)。与对照组相比,治疗组的脑脊液IL-6和TNF-α含量、载脂蛋白B密度以及氧化磷脂密度均显著降低,差异有统计学意义(P<0.05),而平滑肌肌动蛋白密度差异无统计学意义(P>0.05)。检测到SUV和IL-6以及AUC和TNF-α之间存在强正相关(分别为 r2=0.86,P<0.05和 r2=0.66,P=0.004)。结论:18F-FDG-PET/CT和DCE-MRI无创地证明了吡格列酮对粥样斑块的抗炎作用,并可分析大脑中动脉斑块的时程变化与脑脊液炎性因子水平的相关性,两种成像方式均可监测动脉粥样硬化的炎症变化,具有较高应用价值。
英文摘要:
      ABSTRACT Objective: To explore the correlation between the time course changes of middle cerebral artery plaques and the levels of inflammatory factors in cerebrospinal fluid assessed by contrast-enhanced high-resolution MRI. Methods: Atherosclerotic plaques were induced in the aorta of 45 New Zealand White rabbits (NZW) using a high-fat diet combined with two balloon endothelial denudation procedures. Twenty-seven rabbits continued the same diet, while 18 rabbits received pioglitazone (10 mg/kg orally) in addition to the diet. Thirty-six animals underwent 18F-FDG-PET/CT and 45 animals underwent DCE-MRI at baseline, 1 and 3 months after treatment initiation. At the same time, CSF metabolic parameters were monitored. Aortic histological analysis and correlation analysis were performed after imaging was completed. Results: 18F-FDG-PET/CT detected an increase in the mean normalized uptake value (SUV) in the control group (P<0.05), while the SUV value in the treatment group was stable. DCE-MRI detected a significant decrease in the area under the curve (AUC) in the pioglitazone group (P<0.05). Compared with the control group, the contents of IL-6 and TNF-α in the cerebrospinal fluid, the density of apolipoprotein B and the density of oxidized phospholipids in the treatment group were significantly decreased, and the difference was statistically significant (P<0.05). There was no significant difference in the density of smooth muscle actin (P>0.05). Strong positive correlations were detected between SUV and IL-6 and AUC and TNF-α (r2=0.86, P<0.05 and r2=0.66, P=0.004, respectively). Conclusion: 18F-FDG-PET/CT and DCE-MRI noninvasively demonstrated the anti-inflammatory effect of pioglitazone on atherosclerotic plaques, and analyzed the correlation between the time course changes of middle cerebral artery plaques and the levels of inflammatory factors in cerebrospinal fluid. Both imaging modalities can monitor inflammatory changes in atherosclerosis and have high application value.
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