Machine Learning in Intravascular Ultrasound: Validating Automated Lesion Assessment for Complex Coronary Interventions.

Journal: Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
PMID:

Abstract

BACKGROUND: Intravascular ultrasound (IVUS) is essential for assessing complex coronary lesions, but remains underutilized in part due to difficulties in image interpretation. The AVVIGO IVUS Automated Lesion Assessment (ALA) software, which uses machine learning (ML) for automatic segmentation, promises to simplify lesion assessment. This study evaluated the agreement in stent size selection between ALA, an independent core laboratory (CL), and an expert interventional cardiologist (IC) for complex lesions.

Authors

  • Jason Galo
    Section of Interventional Cardiology, MedStar Washington Hospital Center, Washington, District of Columbia, USA.
  • Abhishek Chaturvedi
    Section of Interventional Cardiology, MedStar Washington Hospital Center, Washington, District of Columbia, USA.
  • Abdullah Al-Qaraghuli
    Department of Internal Medicine, MedStar Washington Hospital Center, Washington, District of Columbia, USA.
  • Pablo M Rubio
    Section of Interventional Cardiology, MedStar Washington Hospital Center, Washington, District of Columbia, USA.
  • Cheng Zhang
    College of Forestry, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China.
  • Yirga Kahsay
    Section of Interventional Cardiology, MedStar Washington Hospital Center, Washington, District of Columbia, USA.
  • Beni Rai Verma
    Section of Interventional Cardiology, MedStar Washington Hospital Center, Washington, District of Columbia, USA.
  • Kalyan R Chitturi
    Section of Interventional Cardiology, MedStar Washington Hospital Center, Washington, District of Columbia, USA.
  • Gary S Mintz
    Clinical Trial Center, Cardiovascular Research Foundation, New York, New York, USA.
  • Ron Waksman
    Section of Interventional Cardiology, MedStar Washington Hospital Center, Washington, District of Columbia, USA.
  • Brian C Case
    Section of Interventional Cardiology, MedStar Washington Hospital Center, Washington, District of Columbia, USA.
  • Hayder Hashim
    Section of Interventional Cardiology, MedStar Washington Hospital Center, Washington, District of Columbia, USA.
  • Hector M Garcia-Garcia