Computational methods to automate the initial interpretation of lower extremity arterial Doppler and duplex carotid ultrasound studies.

Journal: Journal of vascular surgery
PMID: 33813023

Abstract

BACKGROUND: Lower extremity arterial Doppler (LEAD) and duplex carotid ultrasound studies are used for the initial evaluation of peripheral arterial disease and carotid stenosis. However, intra- and inter-laboratory variability exists between interpreters, and other interpreter responsibilities can delay the timeliness of the report. To address these deficits, we examined whether machine learning algorithms could be used to classify these Doppler ultrasound studies.

Authors

  • Xiao Luo
    Department of Spine Surgery, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, China.
  • Lena Ara
    Department of Engineering, School of Mechanical Engineering, Indiana University-Purdue University Indianapolis, Indianapolis, Ind.
  • Haoran Ding
    Department of Engineering, School of Mechanical Engineering, Indiana University-Purdue University Indianapolis, Indianapolis, Ind.
  • David Rollins
    Manager of the Vascular Laboratory, Indiana University Health, Indianapolis, Ind.
  • Raghu Motaganahalli
    Division of Vascular Surgery, Department of Surgery, Indiana University School of Medicine, Indianapolis, Ind.
  • Alan P Sawchuk
    Division of Vascular Surgery, Department of Surgery, Indiana University School of Medicine, Indianapolis, Ind. Electronic address: asawchuk@iupui.edu.

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