Automatic scoring of drug-induced sleep endoscopy for obstructive sleep apnea using deep learning

Sleep Med. 2023 Feb:102:19-29. doi: 10.1016/j.sleep.2022.12.015. Epub 2022 Dec 20.

Abstract

Background: Treatment of obstructive sleep apnea is crucial for long term health and reduced economic burden. For those considered for surgery, drug-induced sleep endoscopy (DISE) is a method to characterize location and pattern of sleep-related upper airway collapse. According to the VOTE classification system, four upper airway sites of collapse are characterized: velum (V), oropharynx (O), tongue (T), and epiglottis (E). The degree of obstruction per site is classified as 0 (no obstruction), 1 (partial obstruction), or 2 (complete obstruction). Here we propose a deep learning approach for automatic scoring of VOTE obstruction degrees from DISE videos.

Methods: We included 281 DISE videos with varying durations (6 s-16 min) from two sleep clinics: Copenhagen University Hospital and Stanford University Hospital. Examinations were split into 5-s clips, each receiving annotations of 0, 1, 2, or X (site not visible) for each site (V, O, T, and E), which was used to train a deep learning model. Predicted VOTE obstruction degrees per examination was obtained by taking the highest predicted degree per site across 5-s clips, which was evaluated against VOTE degrees annotated by surgeons.

Results: Mean F1 score of 70% was obtained across all DISE examinations (V: 85%, O: 72%, T: 57%, E: 65%). For each site, sensitivity was highest for degree 2 and lowest for degree 0. No bias in performance was observed between videos from different clinicians/hospitals.

Conclusions: This study demonstrates that automating scoring of DISE examinations show high validity and feasibility in degree of upper airway collapse.

Keywords: Deep learning; Drug-induced sleep endoscopy; Obstructive sleep apnea; vote classification.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Airway Obstruction* / diagnosis
  • Deep Learning*
  • Endoscopy / methods
  • Humans
  • Oropharynx
  • Sleep
  • Sleep Apnea, Obstructive*