| Project/Area Number |
20591667
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Thoracic surgery
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| Research Institution | Kyoto University |
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Principal Investigator |
SAKAI Hiroaki Kyoto University, 医学研究科, 講師 (50362489)
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| Co-Investigator(Kenkyū-buntansha) |
DATE Hiroshi 京都大学, 医学研究科, 教授 (60252962)
FUJINAGA Takuji 京都大学, 医学研究科, 助教 (00444456)
ZHAO Koutou 京都大学, 大学院・医学研究科, 助教 (00444464)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2010: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2009: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2008: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | FOT / lung mechanical property / 強制オッシレーション法 / 肺移植 / 急性拒絶反応 / 慢性拒絶反応 / 肺保存 / 冷保存 / ラット肺移植 / Impulse Oscillation System |
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| Research Abstract |
The forced oscillation technique (FOT) was a method to characterize respiratory impedance. Recently, FOT has been applied in both human subjects and animal models of lung disease. The main advantages of FOT are its noninvasiveness with minimal subject cooperation, and its potential ability to reflect the magnitude and distribution of airway and tissue diseases from frequency-dependent features of parameters. We applied this method to evaluate the mechanical properties of the cold storage rat lung and reported the results. We also reported case that the possibility of early detection of acute rejection after lung transplantation using FOT in humans. However the relationship between histopathology and respiratory impedance spectra has not been studied. In the next step we are planning to evaluate the sensitivity and specificity of the lung impedance (ZL) parameters, in identifying the relationship between histopathological AR grade and lung mechanics in a rat lung transplantation model. We considered that inferring structure from function is described the goal of medical diagnosis.
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