Characteristics of Patients with Target Magnetic Resonance Mismatch Profile: Data from Two Geographically and Racially Distinct Populations

被引:7
作者
Bang, Oh Young [1 ]
Saver, Jeffrey L. [2 ]
Lee, Kwang Ho
Kim, Gyeong Moon
Chung, Chin Sang
Kim, Suk Jae
Ovbiagele, Bruce [2 ]
Alger, Jeffry R. [2 ]
Liebeskind, David S. [2 ]
机构
[1] Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Dept Neurol,Stroke & Cerebrovasc Ctr, Seoul 135710, South Korea
[2] Univ Calif Los Angeles, Med Ctr, Dept Neurol, Los Angeles, CA 90024 USA
关键词
Stroke; Magnetic resonance imaging; Perfusion; ACUTE ISCHEMIC-STROKE; GLUCOSE LEVEL; DWI MISMATCH; 3; H; DIFFUSION; THROMBOLYSIS; TISSUE; MRI; HYPERGLYCEMIA; DESMOTEPLASE;
D O I
10.1159/000256653
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Recently, the Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution (DEFUSE) and the Echoplanar Imaging Thrombolytic Evaluation Trial (EPITHET) trialists suggested that diffusion-perfusion magnetic resonance imaging (MRI) can classify patients into 4 subgroups likely to differentially experience benefit or harm from reperfusion therapies. However, there is a lack of data comparing MR mismatch profiles between different race-ethnic groups. In addition, clinical factors affecting MR mismatch profiles are not well described. Methods: We analyzed clinical and pretreatment MRI data of patients from 2 geographically and ethnically distinct study populations ( Seoul, South Korea, and Los Angeles, Calif., USA) who are eligible for recanalization therapy. Diffusion-perfusion mismatch regions were classified among the 4 DEFUSE MR profiles: target mismatch, no mismatch, small lesion and malignant. Results: A total of 147 South Korean and 162 Southern Californian subjects (64.2% Whites) were included. Pretreatment MRIs revealed that the MR mismatch profiles were different in the 2 study populations (p < 0.001). Target mismatch was more prevalent in Southern Californian subjects (67.9%) compared with South Korean subjects (58.5%), whereas the small lesion pattern was more prevalent in the latter (9.9 vs. 23.1%). After adjusting for covariables, 3 features independently decreased the likelihood of presence of target mismatch: history of diabetes (OR 0.369, 95% CI 0.196-0.694), small versus large arterial occlusion (OR 0.052, 95% CI 0.01-0.255) and largest size (highest tertile) of diffusion-weighted imaging (DWI) lesion volume (OR 0.516, 95% CI 0.266-0.999). The one feature independently increasing target mismatch likelihood was intermediate size (middle tertile) DWI volume (OR 2.977, 95% CI 1.431-6.195). Conclusions: Target mismatch profiles are present in 55-70% of patients. Target mismatch is less common in patients with diabetes, small vessel occlusion, Asian ethnicity and extensive DWI lesions, and more common in patients with DWI lesions of intermediate size. Copyright (C) 2009 S. Karger AG, Basel
引用
收藏
页码:87 / 94
页数:8
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