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定位对制定手术治疗方案至关重要。低侵入性和准确的诊断成像方法的发展是值得期待的。我们建议,根据先前在少数患者中进行的初步研究,基于MRI的部分容积效应校正(PVC)在I-123碘马替尼脑SPECT提高了皮质致痫灶的可检测性。在本研究中,通过对相对较大的样本量进行的调查,确定了I-123碘马肼脑SPECT中基于MRI的PVC在改善皮质致痫灶检测方面的有效性。此外,我们建立了实验环境,开发PET和/或MRI成像方法的脑血管疾病或癫痫的小动物模型。制作慢性脑低灌注大鼠模型,应用上述影像学方法评价其脑血流量、脑氧代谢和脑炎症反应。
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