Fully automated pixel-wise quantitative CMR-myocardial perfusion with CMR-coronary angiography to detect hemodynamically significant coronary artery disease

被引：0
|
作者：
Shi-hai Zhao
Wei-feng Guo
Zhi-feng Yao
Shan Yang
Hong Yun
Yin-yin Chen
Tong-tong Han
Xiao-yue Zhou
Cai-xia Fu
Meng-su Zeng
Chen-guang Li
Cui-zhen Pan
Hang Jin
机构：
[1] Zhongshan Hospital,Department of Radiology
[2] Fudan University and Shanghai Institute of Medical Imaging,Department of Medical Imaging, Shanghai Medical School
[3] Fudan University,Department of Cardiology
[4] Zhongshan Hospital,Department of Echocardiography
[5] Fudan University and Shanghai Institute of Cardiovascular Diseases,undefined
[6] Circle Cardiovascular Imaging,undefined
[7] MR Collaboration,undefined
[8] Siemens Healthineers Ltd.,undefined
[9] Siemens Shenzhen Magnetic Resonance Ltd.,undefined
[10] Zhongshan Hospital,undefined
[11] Fudan University,undefined
来源：
European Radiology | 2023年 / 33卷
关键词：
Coronary artery disease; Myocardial perfusion imaging; Magnetic resonance angiography; Coronary angiography; Fractional flow reserve, myocardial;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：7238 / 7249
页数：11
相关论文
共 35 条
  • [1] Fully automated pixel-wise quantitative CMR-myocardial perfusion with CMR-coronary angiography to detect hemodynamically significant coronary artery disease
    Zhao, Shi-hai
    Guo, Wei-feng
    Yao, Zhi-feng
    Yang, Shan
    Yun, Hong
    Chen, Yin-yin
    Han, Tong-tong
    Zhou, Xiao-yue
    Fu, Cai-xia
    Zeng, Meng-su
    Li, Chen-guang
    Pan, Cui-zhen
    Jin, Hang
    EUROPEAN RADIOLOGY, 2023, 33 (10) : 7238 - 7249
  • [2] Automated Pixel-Wise Quantitative Myocardial Perfusion Mapping by CMR to Detect Obstructive Coronary Artery Disease and Coronary Microvascular Dysfunction Validation Against Invasive Coronary Physiology
    Kotecha, Tushar
    Martinez-Naharro, Ana
    Boldrini, Michele
    Knight, Daniel
    Hawkins, Philip
    Kalra, Sundeep
    Patel, Deven
    Coghlan, Gerry
    Moon, James
    Plein, Sven
    Lockie, Tim
    Rakhit, Roby
    Patel, Niket
    Xue, Hui
    Kellman, Peter
    Fontana, Marianna
    JACC-CARDIOVASCULAR IMAGING, 2019, 12 (10) : 1958 - 1969
  • [3] CMR-Based Quantitative Myocardial Perfusion Pixel-Wise and Pound-Wise
    Kramer, Christopher M.
    Chandrashekhar, Y.
    Narula, Jagat
    JACC-CARDIOVASCULAR IMAGING, 2012, 5 (02) : 237 - 238
  • [4] Dynamic Myocardial Perfusion CT for the Detection of Hemodynamically Significant Coronary Artery Disease
    Nous, Fay M. A.
    Geisler, Tobias
    Kruk, Mariusz B. P.
    Alkadhi, Hatem
    Kitagawa, Kakuya
    Vliegenthart, Rozemarijn
    Hell, Michaela M.
    Hausleiter, Jorg
    Nguyen, Patricia K.
    Budde, Ricardo P. J.
    Nikolaou, Konstantin
    Kepka, Cezary
    Manka, Robert
    Sakuma, Hajime
    Malik, Sachin B.
    Coenen, Adriaan
    Zijlstra, Felix
    Klotz, Ernst
    van der Harst, Pim
    Artzner, Christoph
    Dedic, Admir
    Pugliese, Francesca
    Bamberg, Fabian
    Nieman, Koen
    JACC-CARDIOVASCULAR IMAGING, 2022, 15 (01) : 75 - 87
  • [5] Diagnostic Performance of Fully Automated Pixel-Wise Quantitative Myocardial Perfusion Imaging by Cardiovascular Magnetic Resonance
    Hsu, Li-Yueh
    Jacobs, Matthew
    Benovoy, Mitchel
    Ta, Allison D.
    Conn, Hannah M.
    Winkler, Susanne
    Greve, Anders M.
    Chen, Marcus Y.
    Shanbhag, Sujata M.
    Bandettini, W. Patricia
    Arai, Andrew E.
    JACC-CARDIOVASCULAR IMAGING, 2018, 11 (05) : 697 - 707
  • [6] Diagnostic Myocardial Perfusion Imaging to Detect the Anatomical Location of Coronary Artery Disease Compared With Invasive Coronary Angiography
    Eskandari, Ramin
    Azarpira, Khatereh
    Rashidi, Borzou
    Emami, Sepideh
    Mehrpouya, Maryam
    Khademvatani, Kamal
    Rezaei, Yousef
    IRANIAN HEART JOURNAL, 2019, 20 (02): : 62 - 68
  • [7] Evidence for myocardial CT perfusion imaging in the diagnosis of hemodynamically significant coronary artery disease
    Sun, Zhonghua
    CARDIOVASCULAR DIAGNOSIS AND THERAPY, 2015, 5 (01) : 58 - 62
  • [8] Diagnostic performance of PET, SPECT and CMR perfusion imaging for the detection of significant coronary artery disease - a meta-analysis
    Caroline Jaarsma
    Tim Leiner
    Sebastiaan Bekkers
    Harry Crijns
    Joachim Wildberger
    Eike Nagel
    Patricia Nelemans
    Simon Schalla
    Journal of Cardiovascular Magnetic Resonance, 13 (Suppl 1)
  • [9] Detection of triple vessel coronary artery disease by visual and quantitative first pass CMR myocardial perfusion imaging in the CE-MARC study
    Maredia N.
    Plein S.
    Younger J.F.
    Brown J.M.
    Nixon J.
    Everett C.C.
    Ridgway J.P.
    Radjenovic A.
    Dickinson C.J.
    Biglands J.
    Larghat A.
    Ball S.G.
    Greenwood J.P.
    Journal of Cardiovascular Magnetic Resonance, 13 (Suppl 1)
  • [10] Coronary artery stenosis-related perfusion ratio using dynamic computed tomography myocardial perfusion imaging: a pilot for identification of hemodynamically significant coronary artery disease
    Kuwahara, Natsumi
    Tanabe, Yuki
    Kido, Teruhito
    Kurata, Akira
    Uetani, Teruyoshi
    Ochi, Hitomi
    Kawaguchi, Naoto
    Kido, Tomoyuki
    Ikeda, Shuntaro
    Yamaguchi, Osamu
    Asano, Migiwa
    Mochizuki, Teruhito
    CARDIOVASCULAR INTERVENTION AND THERAPEUTICS, 2020, 35 (04) : 327 - 335
1234