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BioMed Research International
Volume 2016, Article ID 7821415, 9 pages
http://dx.doi.org/10.1155/2016/7821415
Clinical Study

Using Innovative Acoustic Analysis to Predict the Postoperative Outcomes of Unilateral Vocal Fold Paralysis

1Department of Otolaryngology, China Medical University Hospital, Taichung, Taiwan
2Department of Audiology and Speech-Language Pathology, Asia University, Taichung, Taiwan
3Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan
4Department of Sports Medicine, China Medical University, Taichung, Taiwan
5Department of Biological Science and Technology, National Chiao-Tung University, Hsinchu, Taiwan

Received 24 March 2016; Revised 26 July 2016; Accepted 23 August 2016

Academic Editor: Nicole Rotter

Copyright © 2016 Yung-An Tsou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Objective. Autologous fat injection laryngoplasty is ineffective for some patients with iatrogenic vocal fold paralysis, and additional laryngeal framework surgery is often required. An acoustically measurable outcome predictor for lipoinjection laryngoplasty would assist phonosurgeons in formulating treatment strategies. Methods. Seventeen thyroid surgery patients with unilateral vocal fold paralysis participated in this study. All subjects underwent lipoinjection laryngoplasty to treat postsurgery vocal hoarseness. After treatment, patients were assigned to success and failure groups on the basis of voice improvement. Linear prediction analysis was used to construct a new voice quality indicator, the number of irregular peaks (NIrrP). It compared with the measures used in the Multi-Dimensional Voice Program (MDVP), such as jitter (frequency perturbation) and shimmer (perturbation of amplitude). Results. By comparing the [i] vowel produced by patients before the lipoinjection laryngoplasty (AUC = 0.98, 95% CI = 0.78–0.99), NIrrP was shown to be a more accurate predictor of long-term surgical outcomes than jitter (AUC = 0.73, 95% CI = 0.47–0.91) and shimmer (AUC = 0.63, 95% CI = 0.37–0.85), as identified by the receiver operating characteristic curve. Conclusions. NIrrP measured using the LP model could be a more accurate outcome predictor than the parameters used in the MDVP.