Laryngeal Aerodynamic Analysis in Assisting With the Diagnosis of Muscle Tension Dysphonia

• Published in: Journal of voice Vol. 26; no. 2; pp. 177 - 181
• Main Authors: Zheng, Yi-Qing, Zhang, Bi-Ru, Su, Wei-Yang, Gong, Jian, Yuan, Man-Qiong, Ding, Yuan-Lin, Rao, Shao-Qi
• Format: Journal Article
• Language: English
• Published: United States Mosby, Inc 01.03.2012; Elsevier Science Ltd
• Subjects: Adolescent; Adult; Analysis; Case-Control Studies; Diagnosis; Dysphonia; Dysphonia - diagnosis; Dysphonia - physiopathology; Female; Humans; Larynx; Larynx - physiopathology; Logistic Models; Male; Maximum phonation time; Measurement; Middle Aged; Muscle tension dysphonia; Muscle Tonus; Musculoskeletal System; Otolaryngology; Phonation; ROC Curve; Speech Acoustics; Speech Pathology; Subglottal Pressure; Subglottic pressure; Voice aerodynamics; Voice Disorders; Young Adult; Muscle tension dysphonia; Maximum phonation time; Voice aerodynamics; Subglottic pressure
• ISSN: 0892-1997; 1873-4588; 1873-4588
• DOI: 10.1016/j.jvoice.2010.12.001

To estimate the aerodynamic multiparameters for patients with muscular tension dysphonia (MTD) and evaluate voice aerodynamic analysis for assisting the diagnosis of this disorder. A prospective study. Voice aerodynamic parameters, including subglottal pressure (SGP) level, glottal resistance (GR), mean airflow rate (MFR), and maximum phonation time (MPT), for 26 MTD patients and 27 normal adults were analyzed using receiver operating characteristics (ROC) analysis and multivariate logistic regression. For male samples, MTD patients had higher SGP (P=0.001), higher GR (P=0.012), lower MFR (P=0.042), and shorter MPT (P=0.027), whereas for female samples, the difference between cases and controls was statistically significant only in SGP (P<0.001) and MPT (P<0.001). ROC analysis showed that the threshold of 8.175cmH2O for SGP achieved a good classification for MTD, with an adequate sensitivity (76.9%) and the perfect specificity (100%). Finally, multivariate logistic regression established a credible model (with SGP and MPT as the predictors) for classifying MTD, with a 92.5% percentage correct. This analysis indicates that aerodynamics evaluation could help the diagnosis of MTD patients, jointly with medical history scrutiny, physical examination, fibrolaryngoscopy, and/or videoendostroboscopy.