首页 | 本学科首页   官方微博 | 高级检索  
     

急性脑梗死OCSP分型与影像学分型的关系
引用本文:方侃,王为珍,祝茗. 急性脑梗死OCSP分型与影像学分型的关系[J]. 上海交通大学学报(医学版), 2007, 27(7): 866-868
作者姓名:方侃  王为珍  祝茗
作者单位:上海交通大学,第一人民医院神经内科,上海,200080;上海交通大学,第一人民医院神经内科,上海,200080;上海交通大学,第一人民医院神经内科,上海,200080
摘    要:目的探讨急性脑梗死牛津郡社区卒中项目(OCSP)分型与影像学分型的对应关系。方法回顾性分析236例急性脑梗死患者早期OCSP分型情况及其影像学特征。结果按OCSP分型:完全性前循环梗死(TAC I)28例(11.9%),部分性前循环梗死(PAC I)71例(30.1%),腔隙性梗死(LAC I)94例(39.8%),后循环梗死(POC I)43例(18.2%)。临床分型与影像学分型一致者共有171例,分型总准确率72.5%(171/236);各亚型分型准确率分别为TAC I 76%(25/33),PAC I 81%(34/42),LAC I71%(81/114),POC I 66%(31/47)。结论OCSP分型能正确预测梗阻部位和大小,与影像学检查结果有良好的对应关系。

关 键 词:脑梗死  临床分型  影像学特征
文章编号:0258-5898(2007)07-0866-03
修稿时间:2006-12-27

Relationship between Oxfordshire community stroke project classification and imaging classification in acute cerebral infarction
FANG Kan,WANG Wei-zhen,ZHU Ming. Relationship between Oxfordshire community stroke project classification and imaging classification in acute cerebral infarction[J]. Journal of Shanghai Jiaotong University:Medical Science, 2007, 27(7): 866-868
Authors:FANG Kan  WANG Wei-zhen  ZHU Ming
Abstract:Objective To investigate the relationship between Oxfordshire community stroke project(OCSP) classification and imaging classification in acute cerebral infarction. Methods Two hundred and thirty-six patients with acute cerebral infarction were retrospectively evaluated with OCSP classification and imaging characteristics. Results According to OCSP classification,of all the 236 patients with acute cerebral infarction,28(11.9%) experienced total anterior circulation infarction(TACI),71(30.1%) partial anterior circulation infarction(PACI),94(39.8%) lacunar infarction(LACI),and 43(18.2%) posterior circulation infarction(POCI).The consistency was found in 171 cases(72.5%) between the OCSP classification and imaging classification,with the accuracy of 76%(25/33) for TACI,81%(34/42) for PACI,71%(81/114) for LACI and 66%(31/47) for POCI. Conclusion OCSP classification can predict the location and size of cerebral infarction with a high accuracy,and is well consisted with the imaging findings.
Keywords:cerebral infarction  clinical classification  imaging characteristics
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号