Ultrasound Predicts Drug-Induced Sleep Endoscopy Findings Using Machine Learning Models.

Journal: The Laryngoscope
PMID: 39876795

Abstract

OBJECTIVES: Ultrasound is a promising low-risk imaging modality that can provide objective airway measurements that may circumvent limitations of drug-induced sleep endoscopy (DISE). This study was devised to identify ultrasound-derived anatomical measurements that could accurately predict collapse pattern and location based on the VOTE criteria (VOTE: Velum, Oropharynx, Tongue, and Epiglottis).

Authors

  • Samuel E Jones
    Department of Otorhinolaryngology, University of Maryland Medical Center, Baltimore, Maryland, U.S.A.
  • Natalie Aw
    Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York, USA.
  • Molly Acord
    Sonosa Medical, Inc., Baltimore, Maryland, U.S.A.
  • Sarah Miller
    IBM Research, USA.
  • Danielle Sidelnikov
    Department of Otorhinolaryngology, University of Maryland Medical Center, Baltimore, Maryland, U.S.A.
  • Sunny J Haft
    Department of Otorhinolaryngology, University of Maryland Medical Center, Baltimore, Maryland, U.S.A.
  • Stephen M Restaino
    Sonosa Medical, Inc., Baltimore, Maryland, U.S.A.

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