Literature DB >> 27411363

Comparison of Videostroboscopy and High-speed Videoendoscopy in Evaluation of Supraglottic Phonation.

Stephanie R C Zacharias1, Charles M Myer2, Jareen Meinzen-Derr3, Lisa Kelchner4, Dimitar D Deliyski5, Alessandro de Alarcón6.   

Abstract

OBJECTIVES: To compare clinicians' ratings of videolaryngoscopy (VLS) and high-speed videoendoscopy (HSV) and assess confidence of ratings with VLS and HSV in patients with supraglottic phonation.
METHODS: The VLS and HSV video samples were taken from 11 adolescents post airway reconstruction who use supraglottic tissues for voice. The 22 recordings were randomized and presented to 4 clinicians: 2 speech-language pathologists and 2 pediatric otolaryngologists. Additionally, a 5-point Likert scale was used to rate level of confidence of ratings.
RESULTS: Clinicians were more likely to rate regularity on HSV versus VLS videos (P = .003). Presence of mucosal wave was rated similarly on both imaging modalities; however, HSV was more likely to identify location (P = .002). Supraglottic phase symmetry (P = .014) and number of vibratory tissues used for phonation were rated more often with HSV versus VLS. Clinicians were more confident with HSV ratings compared to VLS ratings for determining vibration source, vibration pattern, and ability to make treatment decisions (P < .0001).
CONCLUSIONS: The HSV improves the ability to rate tissue vibratory characteristics when compared with VLS in children with supraglottic phonation. This information may allow better understanding of the underlying mechanisms of voice production in these individuals, leading to improved therapeutic and surgical recommendations.
© The Author(s) 2016.

Entities:  

Keywords:  dysphonia; high-speed videoendoscopy; supraglottic phonation; videostroboscopy

Mesh:

Year:  2016        PMID: 27411363     DOI: 10.1177/0003489416656205

Source DB:  PubMed          Journal:  Ann Otol Rhinol Laryngol        ISSN: 0003-4894            Impact factor:   1.547


  6 in total

1.  Utility of Laryngeal High-speed Videoendoscopy in Clinical Voice Assessment.

Authors:  Stephanie R C Zacharias; Dimitar D Deliyski; Terri Treman Gerlach
Journal:  J Voice       Date:  2017-06-07       Impact factor: 2.009

2.  Temporal Segmentation for Laryngeal High-Speed Videoendoscopy in Connected Speech.

Authors:  Maryam Naghibolhosseini; Dimitar D Deliyski; Stephanie R C Zacharias; Alessandro de Alarcon; Robert F Orlikoff
Journal:  J Voice       Date:  2017-06-21       Impact factor: 2.009

3.  Spatial Segmentation for Laryngeal High-Speed Videoendoscopy in Connected Speech.

Authors:  Ahmed M Yousef; Dimitar D Deliyski; Stephanie R C Zacharias; Alessandro de Alarcon; Robert F Orlikoff; Maryam Naghibolhosseini
Journal:  J Voice       Date:  2020-11-27       Impact factor: 2.300

4.  Detection of Vocal Fold Image Obstructions in High-Speed Videoendoscopy During Connected Speech in Adductor Spasmodic Dysphonia: A Convolutional Neural Networks Approach.

Authors:  Ahmed M Yousef; Dimitar D Deliyski; Stephanie R C Zacharias; Maryam Naghibolhosseini
Journal:  J Voice       Date:  2022-03-15       Impact factor: 2.300

5.  Viscoelastic properties of human aryepiglottic fold and ventricular fold tissues at phonatory frequencies.

Authors:  Miwako Kimura; Roger W Chan
Journal:  Laryngoscope       Date:  2017-12-15       Impact factor: 3.325

6.  A Hybrid Machine-Learning-Based Method for Analytic Representation of the Vocal Fold Edges during Connected Speech.

Authors:  Ahmed M Yousef; Dimitar D Deliyski; Stephanie R C Zacharias; Alessandro de Alarcon; Robert F Orlikoff; Maryam Naghibolhosseini
Journal:  Appl Sci (Basel)       Date:  2021-01-27       Impact factor: 2.679

  6 in total

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