Accuracy of IVUS-Based Machine Learning Segmentation Assessment of Coronary Artery Dimensions and Balloon Sizing.

Journal: JACC. Advances
Published Date: Aug 22, 2023

Abstract

BACKGROUND: Accurate intravascular ultrasound (IVUS) measurements are important in IVUS-guided percutaneous coronary intervention optimization by choosing the appropriate device size and confirming stent expansion.

Authors

  • Mitsuaki Matsumura
    Clinical Trial Center, Cardiovascular Research Foundation, New York, New York, USA.
  • Gary S Mintz
    Clinical Trial Center, Cardiovascular Research Foundation, New York, New York, USA.
  • Tomotaka Dohi
    Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
  • Wenguang Li
    Boston Scientific Corporation, Maple Grove, Minnesota, USA.
  • Alexander Shang
    Boston Scientific Corporation, Maple Grove, Minnesota, USA.
  • Khady Fall
    NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, New York, New York, USA.
  • Takao Sato
    Clinical Trial Center, Cardiovascular Research Foundation, New York, New York, USA.
  • Yoichiro Sugizaki
    Clinical Trial Center, Cardiovascular Research Foundation, New York, New York, USA.
  • Yiannis S Chatzizisis
    Cardiovascular Division, University of Nebraska Medical Center, Omaha, Nebraska, USA.
  • Jeffery W Moses
    Clinical Trial Center, Cardiovascular Research Foundation, New York, New York, USA.
  • Ajay J Kirtane
    Clinical Trial Center, Cardiovascular Research Foundation, New York, New York, USA.
  • Hajime Sakamoto
    Department of Radiology Technology, Juntendo University Faculty of Health Science, Tokyo, Japan.
  • Hiroyuki Daida
    Department of Radiology Technology, Juntendo University Faculty of Health Science, Tokyo, Japan.
  • Tohru Minamino
    Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
  • Akiko Maehara
    Clinical Trial Center, Cardiovascular Research Foundation, New York, New York, USA.

Keywords

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