Application of a Computer Vision Tool for Automated Glottic Tracking to Vocal Fold Paralysis Patients

OBJECTIVES: (1) Demonstrate true vocal fold (TVF) tracking software (AGATI [Automated Glottic Action Tracking by artificial Intelligence]) as a quantitative assessment of unilateral vocal fold paralysis (UVFP) in a large patient cohort. (2) Correlate patient-reported metrics with AGATI measurements of TVF anterior glottic angles, before and after procedural intervention.

STUDY DESIGN: Retrospective cohort study.

SETTING: Academic medical center.

METHODS: AGATI was used to analyze videolaryngoscopy from healthy adults (n = 72) and patients with UVFP (n = 70). Minimum, 3rd percentile, 97th percentile, and maximum anterior glottic angles (AGAs) were computed for each patient. In patients with UVFP, patient-reported outcomes (Voice Handicap Index 10, Dyspnea Index, and Eating Assessment Tool 10) were assessed, before and after procedural intervention (injection or medialization laryngoplasty). A receiver operating characteristic curve for the logistic fit of paralysis vs control group was used to determine AGA cutoff values for defining UVFP.

RESULTS: Mean (SD) 3rd percentile AGA (in degrees) was 2.67 (3.21) in control and 5.64 (5.42) in patients with UVFP (P < .001); mean (SD) 97th percentile AGA was 57.08 (11.14) in control and 42.59 (12.37) in patients with UVFP (P < .001). For patients with UVFP who underwent procedural intervention, the mean 97th percentile AGA decreased by 5 degrees from pre- to postprocedure (P = .026). The difference between the 97th and 3rd percentile AGA predicted UVFP with 77% sensitivity and 92% specificity (P < .0001). There was no correlation between AGA measurements and patient-reported outcome scores.

CONCLUSIONS: AGATI demonstrated a difference in AGA measurements between paralysis and control patients. AGATI can predict UVFP with 77% sensitivity and 92% specificity.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:165

Enthalten in:

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery - 165(2021), 4 vom: 30. Okt., Seite 556-562

Sprache:

Englisch

Beteiligte Personen:

Wang, Tiffany V [VerfasserIn]
Adamian, Nat [VerfasserIn]
Song, Phillip C [VerfasserIn]
Franco, Ramon A [VerfasserIn]
Huston, Molly N [VerfasserIn]
Jowett, Nate [VerfasserIn]
Naunheim, Matthew R [VerfasserIn]

Links:

Volltext

Themen:

Artificial intelligence
Dysphonia
Journal Article
Laryngology
Laryngoscopy
Patient-reported outcomes
Vocal fold paralysis

Anmerkungen:

Date Completed 18.11.2021

Date Revised 18.11.2021

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1177/0194599821989608

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM321482042