| Project/Area Number |
15K09892
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Radiation science
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| Research Institution | Ehime University |
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Principal Investigator |
Kurata Akira 愛媛大学, 医学部附属病院, 講師 (40423438)
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| Co-Investigator(Kenkyū-buntansha) |
上谷 晃由 愛媛大学, 医学部附属病院, 講師 (00423450)
城戸 輝仁 愛媛大学, 医学系研究科, 講師 (50403837)
望月 輝一 愛媛大学, 医学系研究科, 教授 (80145094)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 画像診断 / 冠動脈疾患 / computed tomography / 支配かん流域 / 定量評価 / リスク領域 / 心筋梗塞 / 心筋虚血 / 支配領域 |
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| Outline of Final Research Achievements |
We have developed the Voronoi algorithm-based myocardial segmentation on CT according to coronary artery stenosis reliably estimated SPECT based myocardial ischemic territories.
In this study, we assessed the relationship between the CTA-based myocardial area at risk (MAAR) according to the infarction-culprit arteries (IRA) and the infarct size quantified by the late gadolinium enhancement in cardiac MR (LGE-MRI) in patients with acute myocardial infarction (AMI). Significant correlation between the two assessments were observed in 15 patients with initial onset of AMI (r=0.625, p<0.05; Spearman test). In most cases, the LGE area were located in the core of the IRA-related CT-MAAR, and smaller than them. This study demonstrated that the Voronoi diagram based myocardial segmentation could objectively estimate the maximum myocardial area at risk would result in myocardial infarction, and might aid in the diagnosis and therapeutic decision-making in patients with coronary artery disease.
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