Identification and Assessment of Cardiac Amyloidosis by Myocardial Strain Analysis of Cardiac Magnetic Resonance Imaging
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- Oda Seitaro
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University
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- Utsunomiya Daisuke
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University
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- Nakaura Takeshi
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University
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- Yuki Hideaki
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University
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- Kidoh Masafumi
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University
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- Morita Kosuke
- Department of Central Radiology, Kumamoto University Hospital
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- Takashio Seiji
- Department of Cardiology, Faculty of Life Sciences, Kumamoto University
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- Yamamuro Megumi
- Department of Cardiology, Faculty of Life Sciences, Kumamoto University
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- Izumiya Yasuhiro
- Department of Cardiology, Faculty of Life Sciences, Kumamoto University
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- Hirakawa Kyoko
- Department of Cardiology, Faculty of Life Sciences, Kumamoto University
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- Ishida Toshifumi
- Department of Cardiology, Faculty of Life Sciences, Kumamoto University
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- Tsujita Kenichi
- Department of Cardiology, Faculty of Life Sciences, Kumamoto University
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- Ueda Mitsuharu
- Department of Neurology, Faculty of Life Sciences, Kumamoto University
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- Yamashita Taro
- Department of Neurology, Faculty of Life Sciences, Kumamoto University
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- Ando Yukio
- Department of Neurology, Faculty of Life Sciences, Kumamoto University
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- Hata Hiroyuki
- Department of Informative Clinical Sciences, Faculty of Life Sciences, Kumamoto University
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- Yamashita Yasuyuki
- Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University
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<p>Background:We explored the usefulness of myocardial strain analysis on cardiac magnetic resonance imaging (CMR) scans for the identification of cardiac amyloidosis.</p><p>Methods and Results:The 61 patients with systemic amyloidosis underwent 3.0-T CMR, including CMR tagging and late-gadolinium enhanced (LGE) imaging. The circumferential strain (CS) of LGE-positive and LGE-negative patients was measured on midventricular short-axis images and compared. Logistic regression modeling of CMR parameters was performed to detect patients with LGE-positive cardiac amyloidosis. Of the 61 patients with systemic amyloidosis 48 were LGE-positive and 13 were LGE-negative. The peak CS was significantly lower in the LGE-positive than in the LGE-negative patients (−9.5±2.3 vs. −13.3±1.4%, P<0.01). The variability in the peak CS time was significantly greater in the LGE-positive than in the LGE-negative patients (46.1±24.5 vs. 21.2±20.1 ms, P<0.01). The peak CS significantly correlated with clinical biomarkers. The sensitivity, specificity, and accuracy of the diagnostic model using CS parameters for the identification of LGE-positive amyloidosis were 93.8%, 76.9%, and 90.2%, respectively.</p><p>Conclusions:Myocardial strain analysis by CMR helped detect LGE-positive amyloidosis without the need for contrast medium. The peak CS and variability in the peak CS time may correlate with the severity of cardiac amyloid deposition and may be more sensitive than LGE imaging for the detection of early cardiac disease in patients with amyloidosis.</p>
収録刊行物
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- Circulation Journal
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Circulation Journal 81 (7), 1014-1021, 2017
一般社団法人 日本循環器学会
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詳細情報 詳細情報について
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- CRID
- 1390001205108355840
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- NII論文ID
- 40021227508
- 130006887042
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- NII書誌ID
- AA11591968
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- ISSN
- 13474820
- 13469843
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- NDL書誌ID
- 028301868
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- PubMed
- 28367859
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
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- PubMed
- CiNii Articles
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- 使用不可