Quantitative analysis of organic vocal fold pathologies in females by high‐speed endoscopy

Bohr, Christopher; Kraeck, Angelika; Eysholdt, Ulrich; Ziethe, Anke; Döllinger, Michael

doi:10.1002/lary.23783

Cited by 31 publications

(48 citation statements)

References 28 publications

(77 reference statements)

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“…5,16 Although differentiation between vocal fold polyp and vocal fold nodule is easy in most cases, it can sometimes be challenging, especially in patients who have bilateral vocal fold polyps or nodules with edematous degeneration. Chodara et al, 16 Krausert et al, 20 and Bohr et al 21 have attempted to differentiate between these two pathologies on the basis of HSDI findings. According to all three studies, both pathologies were associated with more abnormal vibratory parameters compared with normal subjects.…”

Section: Discussion Vocal Fold Polyp and Nodulementioning

confidence: 98%

“…5,9,21,22 The reduction of amplitude and mucosal wave, as well as the phase delay, may originate from the mass effect of the polyp. Asymmetry of amplitude, mucosal wave, and phase may result from asymmetry in mass, tension, and mucoelasticity because most of the vocal fold polyps were unilateral in the present study.…”

Section: Discussion Vocal Fold Polyp and Nodulementioning

confidence: 98%

“…According to all three studies, both pathologies were associated with more abnormal vibratory parameters compared with normal subjects. 16,20,21 However, both conditions generally caused similar vibratory disturbance, and a limited range of parameters was proposed for differentiation (eg, the lateral phase difference in the posterior glottis 16 ). In the present study, the vibratory aberrations associated with nodules were also noted with polyps (asymmetry, reduced amplitude and mucosal wave, and impaired glottal closure).…”

Section: Discussion Vocal Fold Polyp and Nodulementioning

confidence: 99%

“…Another advantage is that more advanced analysis is possible with HSDI. Data from videostroboscopy are usually evaluated subjectively [29][30][31][32][33][34] or by glottal area waveform analysis 35,36 or kymography, 37,38 whereas HSDI allows the use of a variety of methods such as LTG, 24 phonovibrography, 12,13,19,21,22 time series analysis, 15 and others. The third advantage of HSDI is that it allows more reliable quantitative analysis.…”

Section: Advantages Of Hsdimentioning

confidence: 99%

“…[4][5][6][7][8][9][10][11][12][13][14][15] Only in the past few years, several HSDI studies have been published that differentiate voice disorders and quantify their oscillatory characteristics. [16][17][18][19][20][21][22] However, the HSDI parameters reported in these reports have been focused on temporal aspects or left-right asymmetry, and size parameters that are routinely investigated by stroboscopic examination (such as amplitude and mucosal wave) have not been fully explored. Furthermore, HSDI research has been focused on vocal fold polyps and nodules, and there is a paucity of knowledge regarding other voice disorders.…”

Section: Introductionmentioning

confidence: 96%

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Quantification of Vocal Fold Vibration in Various Laryngeal Disorders Using High-Speed Digital Imaging

et al. 2016

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Section: Discussion Vocal Fold Polyp and Nodulementioning

confidence: 98%

Section: Discussion Vocal Fold Polyp and Nodulementioning

confidence: 98%

Section: Discussion Vocal Fold Polyp and Nodulementioning

confidence: 99%

Section: Advantages Of Hsdimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

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Quantification of Vocal Fold Vibration in Various Laryngeal Disorders Using High-Speed Digital Imaging

et al. 2016

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Intersegmenter Variability in High‐Speed Laryngoscopy‐Based Glottal Area Waveform Measures

Maryn

Verguts²,

Demarsin

et al. 2019

The Laryngoscope

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Objectives/Hypothesis: High-speed videoendoscopy (HSV) has potential to objectively quantify vibratory vocal fold characteristics during phonation. Glottal Analysis Tools (GAT) version 2018, developed in Erlangen, Germany, is software for determining various glottal area waveform (GAW) quantities. Before having GAT analyze HSV videos, segmenters have to define glottis manually across videos in a semiautomatic segmentation protocol. Such interventions are hypothesized to induce variability of subsequent GAW measure computation across segmenters and may attenuate GAT measures' reliability to a certain point. This study explored intersegmenter variability in GAT's GAW measures based on semiautomatic image processing. Study Design: Cohort study of rater reliability. Methods: In total, 20 HSV videos from normophonic and dysphonic subjects with various laryngeal disorders were selected for this study and segmented by three trained segmenters. They separately segmented glottis areas in the same frame sets of the videos. Upon analysis of GAW, GAT offers 46 measures related to topologic GAW dynamic characteristics, GAW periodicity and perturbation characteristics, and GAW harmonic components. To address GAT's reliability, intersegmenter-based variability in these measures was examined with intraclass correlation coefficient (ICC). Results: In general, ICC behavior of the 46 GAW measures across three raters was highly acceptable. ICC of one parameter was moderate (0.5 < ICC < 0.75), good for seven parameters (0.75 < ICC < 0.9), and excellent for 38 parameters (0.9 < ICC). Conclusions: Overall, high ICC values confirm clinical applicability of GAT for objective and quantitative assessment of HSV. Small intersegmenter differences with actual small parameter differences suggest that manual or semiautomatic segmentation in GAT does not noticeably influence clinical assessment outcome. To guarantee the software's performance, we suggest segmentation training before clinical application.

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Analyzing Vocal Fold Frequency Dynamics Using High‐Speed 3D Laser Video Endoscopy

Patel,

Döllinger,

Jakubaß

et al. 2024

The Laryngoscope

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ObjectiveTo examine changes in lateral and vertical vibratory motion along the anterior, middle, and posterior sections of the vocal folds, as a function of vocal frequency variations.MethodsAbsolute measurements of vocal fold surface dynamics from high‐speed videoendoscopy with custom laser endoscope were made on 23 vocally healthy adults during sustained /i:/ production at 10%, 20%, and 80% of pitch range. The 3D parameters of amplitude (mm), maximum velocity opening/closing (mm/s), and mean velocity opening/closing (mm/s) were computed for the lateral and vertical vibratory motion along the anterior, middle, and posterior sections of the vocal folds. Linear mixed model analysis was conducted to evaluate the differences in (a) vocal frequency levels (high vs. normal vs. low pitch), (b) axis level (vertical vs. lateral), (c) position level (anterior vs. middle vs. posterior), and (d) gender differences (male vs. female).ResultsOverall, the superior surface vertical motion of the vocal fold is greater compared with the lateral motion, especially in males. Along the superior surface, the mean and maximum closing velocities are greater posteriorly for low pitch. The location (anterior, middle, and posterior) along the superior surface is relevant only for vocal fold closing rather than opening, as the dynamics are different along the various locations.ConclusionsThe study highlights the significance of assessing the vertical motion of the superior surface of the vocal fold to understand the complex dynamics of voice production.Level of EvidenceNA Laryngoscope, 2024

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Quantitative analysis of organic vocal fold pathologies in females by high‐speed endoscopy

Abstract: The study succeeded in defining objective parameters for analyzing endoscopic high-speed videos and suggesting first parameters for differentiation between healthy dynamics and dynamics of organic pathologies.

Cited by 31 publications

References 28 publications

Quantification of Vocal Fold Vibration in Various Laryngeal Disorders Using High-Speed Digital Imaging

Quantification of Vocal Fold Vibration in Various Laryngeal Disorders Using High-Speed Digital Imaging

Intersegmenter Variability in High‐Speed Laryngoscopy‐Based Glottal Area Waveform Measures

Analyzing Vocal Fold Frequency Dynamics Using High‐Speed 3D Laser Video Endoscopy

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