Differentiation of Adductor-Type Spasmodic Dysphonia from Muscle Tension Dysphonia Using Spectrogram.
- Author:
Seung Ho NOH
1
;
So Yean KIM
;
Jae Kyung CHO
;
Sang Hyuk LEE
;
Sung Min JIN
Author Information
1. Department of Otorhinolaryngology-Head and Neck Surgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea. entlsh@hanmail.net
- Publication Type:Original Article
- Keywords:
Adductor-type spasmodic dysphonia;
Muscle tension dysphonia;
Spectrogram;
Voice analysis;
Differential diagnosis
- MeSH:
Acoustics;
Compensation and Redress;
Diagnosis, Differential;
Dysphonia*;
Dystonia;
Humans;
Muscle Spasticity;
Muscle Tonus*;
Noise;
Voice;
Voice Disorders;
Voice Quality;
Weights and Measures
- From:Journal of the Korean Society of Laryngology Phoniatrics and Logopedics
2017;28(2):100-105
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
BACKGROUND AND OBJECTIVES: Adductor type spasmodic dysphonia (ADSD) is neurogenic disorder and focal laryngeal dystonia, while muscle tension dysphonia (MTD) is caused by functional voice disorder. Both ADSD and MTD may be associated with excessive supraglottic contraction and compensation, resulting in a strained voice quality with spastic voice breaks. The aim of this study was to determine the utility of spectrogram analysis in the differentiation of ADSD from MTD. MATERIALS AND METHODS: From 2015 through 2017, 17 patients of ADSD and 20 of MTD, underwent acoustic recording and phonatory function studies, were enrolled. Jitter (frequency perturbation), Shimmer (amplitude perturbation) were obtained using MDVP (Multi-dimensional Voice Program) and GRBAS scale was used for perceptual evaluation. The two speech therapist evaluated a wide band (11,250 Hz) spectrogram by blind test using 4 scales (0–3 point) for four spectral findings, abrupt voice breaks, irregular wide spaced vertical striations, well defined formants and high frequency spectral noise. RESULTS: Jitter, Shimmer and GRBAS were not found different between two groups with no significant correlation (p>0.05). Abrupt voice breaks and irregular wide spaced vertical striations of ADSD were significantly higher than those of MTD with strong correlation (p < 0.01). High frequency spectral noise of MTD were higher than those of ADSD with strong correlation (p < 0.01). Well defined formants were not found different between two groups. CONCLUSION: The wide band spectrograms provided visual perceptual information can differentiate ADSD from MTD. Spectrogram analysis is a useful diagnostic tool for differentiating ADSD from MTD where perceptual analysis and clinical evaluation alone are insufficient.
