Multiparametric Iterative Self-Organizing MR Imaging Data Analysis Technique for Assessment of Tissue Viability in Acute Cerebral Ischemia
| Autor: | Mitsias, P. D., Ewing, J. R., Lu, M., Khalighi, M. M., Pasnoor, M., Ebadian, H. B., Zhao, Q., Santhakumar, S., Michael A. Jacobs, Papamitsakis, N., Soltanian-Zadeh, H., Hearshen, D., Patel, S. C., Chopp, M. |
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| Jazyk: | angličtina |
| Rok vydání: | 2004 |
| Předmět: |
Male
Tissue Survival Brain Reproducibility of Results Cerebral Infarction Middle Aged Prognosis Magnetic Resonance Imaging Cohort Studies Diffusion Magnetic Resonance Imaging Logistic Models Tissue Plasminogen Activator Acute Disease Multivariate Analysis Image Processing Computer-Assisted Humans Brain Damage Chronic Female Thrombolytic Therapy Prospective Studies Mathematical Computing Algorithms Aged Follow-Up Studies |
| Zdroj: | AJNR Am J Neuroradiol Scopus-Elsevier |
| Popis: | BACKGROUND AND PURPOSE: Defining viability and the potential for recovery of ischemic brain tissue can be very valuable for patient selection for acute stroke therapies. Multiparametric MR imaging analysis of ischemic lesions indicates that the ischemic lesion is inhomogeneous in degree of ischemic injury and recovery potential. We sought to define MR imaging characteristics of ischemic lesions that are compatible with viable tissue. METHODS: We included patients with supratentorial ischemic stroke who underwent multiparametric MR imaging studies (axial multi-spin-echo T2-weighted imaging, T1-weighted imaging, and diffusion-weighted imaging) at the acute ( |
| Databáze: | OpenAIRE |
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