Predictive Outcomes of Deep Learning Measurement of the Anterior Glottic Angle in Bilateral Vocal Fold Immobility

Objective (1) To compare maximum glottic opening angle (anterior glottic angle, AGA) in patients with bilateral vocal fold immobility (BVFI), unilateral vocal fold immobility (UVFI) and normal larynges (NL), and (2) to correlate maximum AGA with patient‐reported outcome measures. Methods Patients wi...

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Bibliographic Details
Published in:The Laryngoscope 2023-09, Vol.133 (9), p.2285-2291
Main Authors: DeVore, Elliana Kirsh, Adamian, Nat, Jowett, Nate, Wang, Tiffany, Song, Phillip, Franco, Ramon, Naunheim, Matthew Roberts
Format: Article
Language:English
Subjects:
artificial intelligence
Computer vision
Deep learning
Laryngoscopy
Patients
patient‐reported outcome measures
vocal cords
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Summary:Objective (1) To compare maximum glottic opening angle (anterior glottic angle, AGA) in patients with bilateral vocal fold immobility (BVFI), unilateral vocal fold immobility (UVFI) and normal larynges (NL), and (2) to correlate maximum AGA with patient‐reported outcome measures. Methods Patients wisth BVFI, UVFI, and NL were retrospectively studied. An open‐source deep learning‐based computer vision tool for vocal fold tracking was used to analyze videolaryngoscopy. Minimum and maximum AGA were calculated and correlated with three patient‐reported outcomes measures. Results Two hundred and fourteen patients were included. Mean maximum AGA was 29.91° (14.40° SD), 42.59° (12.37° SD), and 57.08° (11.14° SD) in BVFI (N = 70), UVFI (N = 70), and NL (N = 72) groups, respectively (p 
ISSN:0023-852X
1531-4995
DOI:10.1002/lary.30473