Development of diagnostic imaging for detection of epileptogenic foci
Development of diagnostic imaging for detection of epileptogenic foci
批准号:
23592089
负责人:
KATO Hiroki
金额:
$3.0万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2011
资助国家:
日本
项目状态:
已结题
起止时间:
2011 至 2013
中文摘要
难治性癫痫的致痫灶检测是制定手术治疗方案的重要依据。低侵入和准确的诊断成像方法的发展是值得期待的。基于先前在少数患者中进行的一项初步研究,我们建议在I-123 iomazenil脑SPECT中基于mri的部分体积效应校正(PVC)提高皮质癫痫灶的可探测性。在本研究中,基于mri的PVC在I-123 iomazenil脑SPECT中提高皮质癫痫灶检测的有效性是通过对相对较大样本量的调查来建立的。此外,我们还建立了实验环境,以开发用于脑血管疾病或癫痫小动物模型的PET和/或MRI成像方法。我们制作慢性脑灌注不足模型大鼠,利用这些成像方式评估其脑血流量、脑氧代谢和脑炎症。
英文摘要
Detection of epileptogenic foci in intractable epilepsy is most important for planning of operative therapy. Development of low-invasive and accurate method for diagnostic imaging is expected. We suggested, based on a previous pilot study conducted in a small number of patients, that MRI-based partial volume effect correction (PVC) in I-123 iomazenil brain SPECT improves the detectability of cortical epileptogenic foci. In the present study, the effectiveness of MRI-based PVC in I-123 iomazenil brain SPECT in improving the detection of cortical epileptogenic foci was established by the investigation conducted on a relatively large sample size. In addition, we established experimental environment to develop PET and/or MRI imaging methods for small animal models of cerebrovascular disease or epilepsy. We made chronic cerebral hypoperfusion model rats, and evaluated their cerebral blood flow, cerebral oxygen metabolism, and brain inflammation by using these imaging modalities.
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专著(0)
科研奖励(0)
会议论文
Magnetic Resonance Imaging of Uterine Fibroids: a Preliminary Investigation into the Usefulness of 3D-Rendered Images for Surgical Planning
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批准号:25861081
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项目类别:Grant-in-Aid for Young Scientists (B)
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资助金额:$0.75万
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财政年份:2013
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负责人:KATO Hiroki
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依托单位:
Analysis of neuronal cell death triggered by mitochondrial aggregation
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批准号:25860224
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项目类别:Grant-in-Aid for Young Scientists (B)
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资助金额:$2.75万
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财政年份:2013
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负责人:KATO Hiroki
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依托单位:
Computer-aided diagnosis of hepatic fibrosis : evaluation of 3T-MRI texture analysis using an artificial neural network
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批准号:21791178
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项目类别:Grant-in-Aid for Young Scientists (B)
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资助金额:$0.92万
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财政年份:2009
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负责人:KATO Hiroki
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依托单位:
海外基金