Identification and Assessment of Cardiac Amyloidosis by Myocardial Strain Analysis of Cardiac Magnetic Resonance Imaging

• Oda Seitaro

  Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University

• Utsunomiya Daisuke

  Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University

• Nakaura Takeshi

  Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University

• Yuki Hideaki

  Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University

• Kidoh Masafumi

  Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University

• Morita Kosuke

  Department of Central Radiology, Kumamoto University Hospital

• Takashio Seiji

  Department of Cardiology, Faculty of Life Sciences, Kumamoto University

• Yamamuro Megumi

  Department of Cardiology, Faculty of Life Sciences, Kumamoto University

• Izumiya Yasuhiro

  Department of Cardiology, Faculty of Life Sciences, Kumamoto University

• Hirakawa Kyoko

  Department of Cardiology, Faculty of Life Sciences, Kumamoto University

• Ishida Toshifumi

  Department of Cardiology, Faculty of Life Sciences, Kumamoto University

• Tsujita Kenichi

  Department of Cardiology, Faculty of Life Sciences, Kumamoto University

• Ueda Mitsuharu

  Department of Neurology, Faculty of Life Sciences, Kumamoto University

• Yamashita Taro

  Department of Neurology, Faculty of Life Sciences, Kumamoto University

• Ando Yukio

  Department of Neurology, Faculty of Life Sciences, Kumamoto University

• Hata Hiroyuki

  Department of Informative Clinical Sciences, Faculty of Life Sciences, Kumamoto University

• Yamashita Yasuyuki

  Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University

抄録

Background:We explored the usefulness of myocardial strain analysis on cardiac magnetic resonance imaging (CMR) scans for the identification of cardiac amyloidosis. 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. 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.

収録刊行物

• Circulation Journal

  Circulation Journal 81 (7), 1014-1021, 2017

  一般社団法人 日本循環器学会

キーワード

• Cardiac amyloidosis
• Cardiac magnetic resonance imaging
• Late-gadolinium enhancement
• Myocardial strain

詳細情報

• CRID: 1390001205108355840
• NII論文ID: 40021227508
• NII論文ID: 130006887042
• NII書誌ID: AA11591968
• DOI: 10.1253/circj.cj-16-1259
• ISSN: 13474820
• ISSN: 13469843
• NDL書誌ID: 028301868
• PubMed: 28367859
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I028301868
• Web Site: https://www.jstage.jst.go.jp/article/circj/81/7/81_CJ-16-1259/_pdf
• Web Site: https://search.jamas.or.jp/link/ui/2018092899
• 本文言語コード: en
• データソース種別:
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  • NDL
  • Crossref
  • PubMed
  • CiNii Articles
  • KAKEN
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