医学
无症状的
狭窄
磁共振成像
冲程(发动机)
前瞻性队列研究
脑梗塞
心脏病学
内科学
放射科
缺血
机械工程
工程类
作者
Manabu Shirakawa,Kiyofumi Yamada,Hiroko Watase,Baocheng Chu,Yukiko Enomoto,Takao Kojima,Kazuki Wakabayashi,Jie Sun,Daniel S. Hippe,Marina Ferguson,Niranjan Balu,Shinichi Yoshimura,Thomas S. Hatsukami,Chun Yuan
标识
DOI:10.1016/j.jns.2023.120582
摘要
Recent studies report that the rate of recurrent stroke is highest in the stages immediately following cerebral infarction and decreases over time in patients with atherosclerotic carotid stenosis. The purpose of this study was to identify temporal differences in early stage carotid plaque components from acute cerebrovascular ischemic events using carotid MRI. Carotid plaque images were obtained on 3 T MRI from 128 patients enrolled in MR-CAS. Among the 128 subjects, 53 were symptomatic and 75 asymptomatic. The symptomatic patients were classified into three groups based on interval from onset of symptoms to the date of the carotid MRI (Group <14 days; 15-30 days; and > 30 days). The volume of each plaque component was identified and quantified from MR images. The presence of juxtaluminal loose matrix/inflammation (LM/I) was identified as a possible indicator of inflammation on the luminal side. Plaque components were compared between groups using the Wilcoxon rank-sum or the Chi-square test. Patient characteristics and carotid plaque morphology were similar among all four groups. The median volume of LM/I in Group >30 days was significantly lower than in other groups (0 mm3 vs 12.3 mm3 and 18.1 mm3; p = 0.003). In addition, the prevalence of juxtaluminal LM/I decreased over time (ptrend = 0.002). There were no statistically significant differences in other plaque components between the symptomatic groups. The volume of LM/I was significantly smaller in Group >30 days and prevalence of juxtaluminal LM/I in the atherosclerotic carotid plaque was high in the early stages after events. This suggests that carotid plaques undergo rapid evolution after an acute cerebrovascular ischemic event.
科研通智能强力驱动
Strongly Powered by AbleSci AI