Literature DB >> 25640541

Quantitative measurement of oxygen extraction fraction by MRI in patients with cerebrovascular disease: pre- and post-surgery.

Sheng Xie1, Jiangxi Xiao, Hongzhou Duan, Lei Fu, Dapeng Mo, Xiaodong Zhang.   

Abstract

AIM: We aimed to evaluate cerebral hemodynamic status of preoperative and postoperative revascularization treatment by oxygen extraction fraction (OEF)-magnetic resonance imaging (MRI) in patients with severe cerebrovascular stenosis or occlusive disease.
MATERIAL AND METHODS: This study enrolled 9 symptomatic patients with severe cerebrovascular disease and 9 age-matched normal volunteers. Cerebral blood flow (CBF) and OEF were determined in all subjects by functional MRI. Brain regions with elevated OEF above normal range were defined in the patients preoperatively. The values of pre- and postoperative OEF in these regions were compared.
RESULTS: A total of 16 regions of interest (ROIs) had elevated OEF before the vascular surgery, with relative CBF (rCBF) values ranging from 0.2 to 1.0. OEF decreased to normal range in 15 ROIs postoperatively, which indicated hemodynamic improvement in these regions. The OEF value of the high-OEF group (preoperative OEF value ranged from 0.365 to 0.400) had a significant decrease compared with those of the low-OEF group (preoperative OEF value ranged from 0.350 to 0.365), which showed an a statistical difference (p = 0.001).
CONCLUSION: OEF was elevated in patients with severe ischemic cerebrovascular disease, and decreased after successful revascularization. OEFMRI can provide quantitative information for evaluating the hemodynamic status and selecting the candidates suitable for revascularization.

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Year:  2015        PMID: 25640541     DOI: 10.5137/1019-5149.JTN.8987-13.1

Source DB:  PubMed          Journal:  Turk Neurosurg        ISSN: 1019-5149            Impact factor:   1.003


  1 in total

1.  Determination of oxygen extraction fraction using magnetic resonance imaging in canine models with internal carotid artery occlusion.

Authors:  Fei-Yan Chang; Jiang-Xi Xiao; Sheng Xie; Lei Yu; Zhen-Xia Zhang; Wu Wang; Jie Luo; Zhong-Ping Zhang; Hua Guo
Journal:  Sci Rep       Date:  2016-07-22       Impact factor: 4.379

  1 in total

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