文章摘要
脑梗死患者表观扩散系数分布规律及其与发病时间的关系
Apparentdiffusion coefficient distribution rule of cerebral infarction and regression analysis with its course
投稿时间:2018-01-31  
DOI:10.3969/j.issn.1000-0399.2018.08.004
中文关键词: 脑梗死  表观扩散系数  回归分析
英文关键词: Brain infarction  Apparent diffusion coefficient  Regression analysis
基金项目:安徽省教学质量工程项目(项目编号:2014jxtd119)
作者单位E-mail
张发平 241000 芜湖 安徽省皖南康复医院(芜湖市第五人民医院)放射科  
陈其春 230601 合肥 安徽医科大学第二附属医院放射科  
王龙胜 230601 合肥 安徽医科大学第二附属医院放射科  
郑穗生 230601 合肥 安徽医科大学第二附属医院放射科 zhengss0509@sina.com 
谢康临 241000 芜湖 安徽省皖南康复医院(芜湖市第五人民医院)放射科  
汪翀效 241000 芜湖 安徽省皖南康复医院(芜湖市第五人民医院)放射科  
摘要点击次数: 1741
全文下载次数: 0
中文摘要:
      目的 探讨表观扩散系数(ADC)及相对表观扩散系数(rADC)在不同时期脑梗死的分布规律及与发病时间的关系。方法 回顾性分析2013年9月至2017年12月安徽省皖南康复医院收治的359例脑梗死患者的临床及MRI资料,依据患者发病时间分为超急性期(发病时间< 6 h)17例,急性期(6 h≤发病时间< 72 h)142例,亚急性期(72 h≤发病时间< 10 d)127例,慢性期(发病时间≥10 d)73例。在ADC图上选取感兴趣区(ROI),测量不同分期患者病变侧核心区、边缘区及灶周区的ADC值,并以健侧镜像区ADC值为对照,分别比较同一分期患者病变侧核心区、边缘区及灶周区与健侧ADC均值的差异;采用线性回归分析法评估所有病例ADC及rADC值与发病时间的关系。结果 超急性期、急性期及亚急性期患者病变侧与健侧的4组ADC值比较,差异均有统计学意义(P<0.05),病变侧ADC值降低,核心区ADC值最低,从核心区至灶周呈逐渐升高趋势,呈梯度征改变,而慢性期的4组ADC值差异无统计学意义(P>0.05)。ADC及rADC值与发病时间存在线性关系,随着时间推移ADC及rADC值逐步升高。核心区rADC值与发病时间关系最为密切,相关系数(r)和决定系数(R2)为0.891、0.794,回归方程为Y=39.314X-14.155。结论 ADC及rADC值可以提供脑梗死扩散指标分布及演变规律,通过ADC及rADC值可以较好的预测发病时间。
英文摘要:
      Objective To investigate the distribution and evolution rules of apparent diffusion coefficient (ADC) value at different cerebral infarction stages, so as to evaluate the relationship between ADC (rADC) values and onset time. Methods The clinical data of 359 patients with cerebral infarction undergoing magnetic resonance imaging (MRI) in Anhui Wannan Rehabilitation Hospital from Sept 2013 to Dec 2017 were retrospectively analyzed. Patients were classified into four stages according to the time of onset:17 hyperacute (< 6 h), 142 acute (6 h ≤ onset time < 72 h), 127 subacute (72 h ≤ onset time < 10 days), and 73 chronic (≥ 10 days). The differences between the ADC (rADC) values in the regions of interest (ROI, including core region, margin region, peripheral region and boot image region of the unaffected side) in the same stage were compared with those of One-Way ANOVA, so as to construct the regression models regarding ADC and rADC values with the course of disease of all patients. Results Differences in ADC values in different ROI at hyperacute stage, acute stage and subacute stage were statistically significant (P < 0.05). The ADC values on the lesion side decreased, showing a gradual increasing trend from the core region to peripheral region, meanwhile, gradient sign could also be seen, while differences in the ADC values in all ROI at chronic stage were not statistically significant. rADC and rADC values were linearly correlated with the course of disease, ADC value showed an upward trend, and the correlation coefficient (r) and determination coefficient (R2) of rADC in the core region was 0.891 and 0.794, respectively, at the highest levels. In addition, the regression equation:Y=39.314X-14.155. Conclusion ADC and rADC values can provide the diffusion index distribution and evolution rules of cerebral infarction, which can better predict the onset time.
查看全文   查看/发表评论  下载PDF阅读器
关闭