快速三维MR血管壁成像评估急性脑梗死及颈动脉粥样硬化的研究

doi:10.7517/issn.1674-0475.210707

摘要/Abstract

摘要： 本研究探讨在脑梗死及颈动脉粥样硬化斑块评估中，快速三维MR血管壁成像技术的应用价值。选取颈动脉粥样硬化斑块患者78例，共计斑块112个，其中发生脑梗死患者36例，未发生脑梗死患者42例。与病理结果比较，快速三维MR血管壁成像评估颈动脉斑块性质一致性Kappa值为0.790（P<0.05）；不稳定性斑块MR积分明显高于稳定性斑块（P<0.05）；脑梗死患者甘油三酯（TG）、低密度脂蛋白胆固醇（LDL-C）和平均MR积分明显高于无脑梗死患者（P<0.05），而高密度脂蛋白胆固醇（HDL-C）明显低于无脑梗死患者（P<0.05）；平均MR积分预测脑梗死的ROC曲线下面积为0.852（P<0.05）。因此，快速三维MR血管壁成像技术能有效评估颈动脉粥样硬化斑块性质，对预测脑梗死有一定应用价值。

关键词: 快速三维MR血管壁成像技术, 颈动脉粥样硬化斑块, 脑梗死

Abstract: This study explored the value of rapid three-dimensional MR vascular wall imaging in evaluating cerebral infarction and carotid atherosclerotic plaque. Seventy-eight patients with carotid atherosclerotic plaque were selected, a total of 112 plaques. Among them, there were 36 patients with cerebral infarction and 42 patients without cerebral infarction. Compared with the pathological results, the Kappa value of consistency of carotid plaques evaluated by rapid three-dimensional MR vascular wall imaging was 0.790 (P<0.05); MR score of unstable plaques was significantly higher than that of stable plaques (P<0.05). The triglyceride (TG), low density lipoprotein cholesterol (LDL-C) and mean MR score in patients with cerebral infarction were significantly higher than those in patients without cerebral infarction (P<0.05), while high density lipoprotein cholesterol (HDL-C) was significantly lower than those in patients without cerebral infarction (P<0.05). The area under the ROC curve of mean MR score predicted erebral infarction was 0.852 (P<0.05). Rapid three-dimensional MR vessel wall imaging technology can effectively assess the nature of carotid atherosclerotic plaque and predict cerebral infarction.

Key words: rapid three-dimensional MR vascular wall imaging, carotid atherosclerotic plaque, cerebral infarction

凌秀梅, 苏寿红, 曾阳东. 快速三维MR血管壁成像评估急性脑梗死及颈动脉粥样硬化的研究[J]. 影像科学与光化学, 2022, 40(1): 105-108.

LING Xiumei, SU Shouhong, ZENG Yangdong. Evaluation of Carotid Atherosclerotic Plaques and Cerebral Infarction by Rapid Three-dimensional MR Wall Imaging[J]. IMAGING SCIENCE AND PHOTOCHEMISTRY, 2022, 40(1): 105-108.

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