Multiparametric MRI tissue characterization in clinical stroke with correlation to clinical outcome - Part 2
Multiparametric MRI tissue characterization in clinical stroke with correlation to clinical outcome - Part 2
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DOI:
10.1161/01.str.32.4.950
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发表时间:
2001-04-01
期刊:
影响因子:
8.3
通讯作者:
Patel, S
中科院分区:
文献类型:
--
作者:
Jacobs, MA;Mitsias, P;Patel, S
Background and Purpose-Multiparametric MRI generates different zones within the lesion that may reflect heterogeneity of tissue damage in cerebral ischemia. This study presents the application of a novel model of tissue characterization based on an angular separation between tissues obtained with the use of an objective (unsupervised) computer segmentation algorithm implementing a modified version of the Iterative Self-Organizing Data Analysis Technique (ISODATA). We test the utility of this model to identify ischemic tissue in clinical stroke.Methods-MR parameters diffusion-, T2-, and T1-weighted imaging (DWI, T2WI, and T1WI, respectively) were obtained from 10 patients at 3 time points (30 studies) after stroke: acute (less than or equal to 12 hours), subacute (3 to 5 days), and chronic (3 months). The National Institutes of Health Stroke Scale (NIHSS) was measured, and volumes were obtained from the ISODATA, DWI, and T2WI maps on patients at each time point.Results-The acute (less than or equal to 12 hours) multiparametric ISODATA volume was significantly correlated with the acute (less than or equal to 12 hours) DWI (r=0.96. P