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Development of quantitative CMR for the evaluation of dilated cardiomyopathy

Research Project

Project/Area Number 17K10399
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Radiation science
Research InstitutionMie University

Principal Investigator

Ishida Masaki  三重大学, 医学系研究科, 准教授 (10456741)

Co-Investigator(Kenkyū-buntansha) 佐久間 肇  三重大学, 医学系研究科, 教授 (60205797)
市原 隆  藤田医科大学, 医学部, 教授 (90527748)
中山 良平  立命館大学, 理工学部, 教授 (20402688)
Project Period (FY) 2017-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2019: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2018: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2017: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Keywords拡張型心筋症 / シネMRI / 心筋血流MRI / T1マッピング / 心筋ストレイン / 冠血流予備能 / DCM / 心筋血流予備能 / 心筋パーフュージョンMRI / 人工知能 / 心臓MRI / 定量解析 / ストレイン
Outline of Final Research Achievements

In patients with dilated cardiomyopathy (DCM), the multiparametric information obtained from cardiac MRI (CMR) is not fully utilized to evaluate the myocardial pathology and the patient prognosis because DCM patients often have difficulty in breath-hold during CMR, and that the left ventricular wall is thinned, which is highly susceptible to misalignment between image frames to frames. In this study, we developed post-processing technique that solves the above problems and showed that reduced coronary flow reserve is associated with reduced left ventricular contractility, which is closely related to patient prognosis in patients with DCM. It was also shown that myocardial native T1 is the useful index for predicting left ventricular reverse-remodeling in patients with DCM.

Academic Significance and Societal Importance of the Research Achievements

本研究では、(1) 拡張型心筋症患者における心臓MRIの画質改善や画像解析の効率化が得られるような画像処理技術を開発し、(2)多元的な心臓MRIパラメータを解析することにより、拡張型心筋症患者において、冠血流予備能の低下が左室ストレイン低下おや患者予後にも密接に関連すること、心筋Native T1値が左室リバースリモデリング予測に重要な指標であることを示すことができた。これらは国内外においていまだ十分報告されていない重要な臨床的知見であり、拡張型心筋症の実診療に与えるインパクトは大きいと考えられる。

Report

(5 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Research-status Report
  • 2018 Research-status Report
  • 2017 Research-status Report
  • Research Products

    (7 results)

All 2021 2020 2019

All Journal Article (1 results) (of which Peer Reviewed: 1 results) Presentation (6 results) (of which Int'l Joint Research: 1 results)

  • [Journal Article] Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural Network.2020

    • Author(s)
      Hiroki Kobayashi, Ryohei Nakayama, Akiyoshi Hizukuri, Masaki Ishida, Kakuya Kitagawa, Hajime Sakuma
    • Journal Title

      J Digit Imaging

      Volume: 33 Issue: 2 Pages: 497-503

    • DOI

      10.1007/s10278-019-00264-6

    • Related Report
      2019 Research-status Report
    • Peer Reviewed
  • [Presentation] 拡張型心筋症における心筋血流予備能:位相コントラストMRIを用いた冠静脈洞血流計測による検討2021

    • Author(s)
      髙藤雅史、石田正樹、中村哲士、中田圭、伊藤絵、粉川嵩規、堂前謙介、荒木俊、佐久間肇
    • Organizer
      第92回日本心臓血管放射線研究会
    • Related Report
      2020 Annual Research Report
  • [Presentation] Myocardial T1 Mapping for Prediction of Left Ventricular Reverse Remodeling in Patients With Recent-onset Dilated Cardiomyopathy: a Comparison With Histological Tissue Characterization2021

    • Author(s)
      Junko Ishiura, Shiro Nakamori, Kyoko Imanaka-yoshida, Michiaki Hiroe, Kei Nakata, Masaki Ishida, Keishi Moriwaki, Naoki Fujimoto, Hajime Sakuma, Kaoru Dohi
    • Organizer
      第85回日本循環器学会学術集会
    • Related Report
      2020 Annual Research Report
  • [Presentation] Myocardial T1 Mapping for Prediction of Left Ventricular Reverse Remodeling in Patients With Recent-onset Dilated Cardiomyopathy: a Comparison With Histological Tissue Characterization2020

    • Author(s)
      Junko Ishiura, Shiro Nakamori, Kyoko Imanaka-yoshida, Michiaki Hiroe, Kei Nakata, Masaki Ishida, Keishi Moriwaki, Naoki Fujimoto, Hajime Sakuma, Kaoru Dohi
    • Organizer
      American Heart Association Scientific Sessions 2020
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] ベイズ最適化による医療画像応用CNN(Convolutional Neural Network)のハイパーパラメータの決定2019

    • Author(s)
      田中滉大,中山良平,檜作彰良,市川泰祟,石田正樹,北川覚也,佐久間肇
    • Organizer
      第18回情報科学技術フォーラム
    • Related Report
      2019 Research-status Report
  • [Presentation] 深層学習によるシネMRI(Magnetic Resonance Imaging)画像の高フレームレート化2019

    • Author(s)
      高瀬唯人,中山良平,檜作彰良,市川泰崇,石田正樹,北川覚也,佐久間 肇
    • Organizer
      第18回情報科学技術フォーラム
    • Related Report
      2019 Research-status Report
  • [Presentation] 心筋パーフュージョンMR各社3T装置への対応2019

    • Author(s)
      竹田 和也、大島 竜登、小幡 晃平、中山 良平、石田 正樹、佐久間 肇、市原 隆
    • Organizer
      第75回日本放射線技術学会総会学術大会
    • Related Report
      2018 Research-status Report

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Published: 2017-04-28   Modified: 2022-01-27  

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