Noninvasive Mapping of Premature Ventricular Contractions by Merging Magnetocardiography and Computed Tomography.
Project/Area Number |
17K09484
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Cardiovascular medicine
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Research Institution | University of Tsukuba |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
野上 昭彦 筑波大学, 医学医療系, 教授 (80708602)
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Project Period (FY) |
2017-04-01 – 2020-03-31
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Project Status |
Completed (Fiscal Year 2019)
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Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2019: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2018: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2017: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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Keywords | 心室期外収縮 / カテーテルアブレーション / 心磁図 / アブレーション / 内科 |
Outline of Final Research Achievements |
Electrocardiography can noninvasively identify the origins of premature ventricular contractions (PVCs). However, its accuracy is limited due to its low spatial resolution. This study aimed to develop a novel PVC mapping method to predict PVC origins in whole ventricles by merging a magnetocardiography (MCG) image with a cardiac computed tomography (CT) image. Estimated origins by MCG-CT imaging matched the origins determined during the procedure in 94% (17 of 18) of patients. The diagnostic accuracy of noninvasive MCG-CT mapping was high enough to allow clinical use to predict the site of PVC origins in the whole ventricles.
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Academic Significance and Societal Importance of the Research Achievements |
一部の心室期外収縮においてはカテーテルアブレーション治療による根治率が低いことが知られている。不整脈発生源が心臓の外側にあったり、心室壁の深層に存在していると、通電エネルギーが不整脈源に届かずに、通電効果が及ばないためである。我々が開発した3次元マッピングを用いることで、これら難治性不整脈を術前に診断することが可能となる。患者に予測される成功率、危険性を術前に詳しく情報提供することが可能となり、さらに治療の方法を前もって策定することで、治療の効果、効率、安全性を向上させることができると考えられる。
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Report
(4 results)
Research Products
(6 results)
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[Journal Article] Noninvasive Mapping of Premature Ventricular Contractions by Merging Magnetocardiography and Computed Tomography2019
Author(s)
Aita S, Ogata K, Yoshida K, Inaba T, Kosuge H, Machino T, Tsumagari Y, Hattori A, Ito Y, Komatsu Y, Sekihara K, Horigome H, Aonuma K, Nogami A, Kandori A, Ieda M
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Journal Title
JACC: Clinical Electrophysiology
Volume: 5
Issue: 10
Pages: 1144-1157
DOI
Related Report
Peer Reviewed / Open Access
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