{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T15:51:12Z","timestamp":1789833072660,"version":"4.0.1"},"reference-count":32,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T00:00:00Z","timestamp":1667433600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["The Laryngoscope"],"published-print":{"date-parts":[[2023,9]]},"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p>(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\u2010reported outcome measures.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Patients wisth BVFI, UVFI, and NL were retrospectively studied. An open\u2010source deep learning\u2010based computer vision tool for vocal fold tracking was used to analyze videolaryngoscopy. Minimum and maximum AGA were calculated and correlated with three patient\u2010reported outcomes measures.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Two hundred and fourteen patients were included. Mean maximum AGA was 29.91\u00b0 (14.40\u00b0 SD), 42.59\u00b0 (12.37\u00b0 SD), and 57.08\u00b0 (11.14\u00b0 SD) in BVFI (<jats:italic>N<\/jats:italic>\u00a0=\u00a070), UVFI (<jats:italic>N<\/jats:italic>\u00a0=\u00a070), and NL (<jats:italic>N<\/jats:italic>\u00a0=\u00a072) groups, respectively (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). Patients requiring operative airway intervention for BVFI had an average maximum AGA of 24.94\u00b0 (10.66\u00b0 SD), statistically different from those not requiring intervention (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.0001). There was moderate negative correlation between Dyspnea Index scores and AGA (Spearman r\u00a0=\u00a0\u22120.345, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.0003). Maximum AGA demonstrated high discriminatory ability for BVFI diagnosis (AUC 0.92, 95% CI 0.81\u20130.97, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001) and moderate ability to predict need for operative airway intervention (AUC 0.77, 95% CI 0.64\u20130.89, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>A computer vision tool for quantitative assessment of the AGA from videolaryngoscopy demonstrated ability to discriminate between patients with BVFI, UVFI, and normal controls and predict need for operative airway intervention. This tool may be useful for assessment of other neurological laryngeal conditions and may help guide decision\u2010making in laryngeal surgery.<\/jats:p><\/jats:sec><jats:sec><jats:title>Level of Evidence<\/jats:title><jats:p>III <jats:italic>Laryngoscope<\/jats:italic>, 133:2285\u20132291, 2023<\/jats:p><\/jats:sec>","DOI":"10.1002\/lary.30473","type":"journal-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T11:17:15Z","timestamp":1667474235000},"page":"2285-2291","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Predictive Outcomes of Deep Learning Measurement of the Anterior Glottic Angle in Bilateral Vocal Fold Immobility"],"prefix":"10.1002","volume":"133","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7034-9238","authenticated-orcid":false,"given":"Elliana Kirsh","family":"DeVore","sequence":"first","affiliation":[{"name":"Department of Otolaryngology Harvard Medical School  Boston 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