Purpose: To develop and evaluate a rat excised larynx model for the measurement of acoustic, aerodynamic, and vocal fold vibratory changes resulting from vocal fold scar.
Method: Twenty-four 4-month-old male Sprague-Dawley rats were assigned to 1 of 4 experimental groups: chronic vocal fold scar, chronic vocal fold scar treated with 100-ng basic fibroblast growth factor (bFGF), chronic vocal fold scar treated with saline (sham treatment), and unscarred untreated control. Following tissue harvest, histological and immunohistochemical data were collected to confirm extracellular matrix alteration in the chronic scar group; acoustic, aerodynamic, and high-speed digital imaging data were collected using an excised larynx setup in all groups. Phonation threshold pressure (P(th)), glottal resistance (R(g)), glottal efficiency (E(g)), vibratory amplitude, and vibratory area were used as dependent variables.
Results: Chronically scarred vocal folds were characterized by elevated collagen Types I and III and reduced hyaluronic acid abundance. Phonation was achieved, and data were collected from all control and bFGF-treated larynges; however, phonation was not achieved with 3 of 6 chronically scarred and 1 of 6 saline-treated larynges. Compared with control, the chronic scar group was characterized by elevated P(th), reduced E(g), and intralarynx vibratory amplitude and area asymmetry. The bFGF group was characterized by P(th) below control-group levels, E(g) comparable with control, and vocal fold vibratory amplitude and area symmetry comparable with control. The sham group was characterized by P(th) comparable with control, E(g) superior to control, and vocal fold vibratory amplitude and area symmetry comparable with control.
Conclusions: The excised larynx model reported here demonstrated robust deterioration across phonatory indices under the scar condition and sensitivity to treatment-induced change under the bFGF condition. The improvement observed under the sham condition may reflect unanticipated therapeutic benefit or artifact. This model holds promise as a tool for the functional characterization of biomechanical tissue changes resulting from vocal fold scar and the evaluation of experimental therapies.
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http://dx.doi.org/10.1044/1092-4388(2009/08-0049) | DOI Listing |
J Laryngol Otol
December 2024
Department of Otolaryngology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Objectives: This study aimed to explore the influence of laryngopharyngeal reflux on the features of vocal fold polyps and prognosis after office-based transnasal vocal fold polypectomy.
Methods: Eighty-four vocal fold polyp patients were retrospectively analysed. Patients were assigned to laryngopharyngeal reflux or non-laryngopharyngeal reflux groups using pre-operative Reflux Symptom Score-12.
J Voice
December 2024
Department of ENT and Head Neck Surgery, UPUMS, Saifai, Uttar Pradesh, India. Electronic address:
J Voice
December 2024
SLT Department, Uskudar University, Istanbul, Turkey. Electronic address:
Objective: The purpose of this study is to examine the effects of a short-term (30 minutes) vocal loading task (VLT) on the objective and subjective parameters of voice and determine the restorative strategies of three different vocal exercises performed after the VLT.
Methods: The sample of the study included 30 normophonic women. The protocols that were applied in the study were carried out on three consecutive days.
Heliyon
December 2024
Department of Industrial and Data Engineering, Hongik University, Seoul, South Korea.
Introduction: Laryngeal cancer diagnosis relies on specialist examinations, but non-invasive methods using voice data are emerging with artificial intelligence (AI) advancements. Mel Frequency Cepstral Coefficients (MFCCs) are widely used for voice analysis, but Octave Frequency Spectrum Energy (OFSE) may offer better accuracy in detecting subtle voice changes.
Problem Statement: Accurate early diagnosis of laryngeal cancer through voice data is challenging with current methods like MFCC.
J Acoust Soc Am
December 2024
Department of Otorhinolaryngology and Head & Neck Surgery, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan.
The fundamental frequency (fo) is pivotal for quantifying vocal-fold characteristics. However, the accuracy of fo estimation in hoarse voices is notably low, and no definitive algorithm for fo estimation has been previously established. In this study, we introduce an algorithm named, "Spectral-based fo Estimator Emphasized by Domination and Sequence (SFEEDS)," which enhances the spectrum method and conducted comparative analyses with conventional estimation methods.
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