Effect of intensive water resistance phonation therapy for people with presbyphonia: A pilot study.

Purpose: The aim of this pilot study was to explore the efficacy of an intensive 3 week water resistance phonation (WRP) therapy program for people with presbyphonia.Method: Participants included 13 people with presbyphonia who received intensive WRP therapy. All participants completed eight sessions of therapy over 3 weeks. Auditory perceptual ratings, and acoustic and aerodynamic assessments were performed before and after treatment. Participants also completed the voice-related quality of life questionnaire before and after the treatment.Result: After 3 weeks of intensive voice therapy, significant improvements were demonstrated in acoustic, aerodynamic, and auditory perceptual parameters, as well as patient perceptions of voice-related quality of life. Acoustically, it was found there were significant decreases in shimmer (p = 0.019), noise-to-harmonic ratio (p = 0.016), and smoothed cepstral peak prominence (p = 0.001). Perceptually, the clients with presbyphonia showed significant reductions in the ratings of the overall grade, roughness, asthenia, and strain. Moreover, there was a significant increase in the total score of the Mandarin version of the Voice-Related Quality of Life measure post-therapy.Conclusion: The investigation provides preliminary evidence that people with presbyphonia can improve their vocal function and voice-related quality of life through intensive WRP therapy within a short period of time.

Mandarin Chinese version of the Aging Voice Index.

Objectives: This study developed the Mandarin Chinese version of the Aging Voice Index (AVI), with preliminary validation of the scale for potential clinical applications. Study Design: Scale development. Methods: The experimental procedure involved: (1) cross-cultural adaptation of the original AVI into the Mandarin Chinese version (CAVI); (2) evaluation by expert panel; (3) back translation; (4) pilot testing; (5) development of the final CAVI; (6) scale validation with 68 older adults of 60-89 years old (29 females and 39 males), 34 with voice disorders and 34 age-matched with normal voice. Internal consistency reliability, test-retest reliability, content validity, criterion-related validity, and discriminatory ability (diagnostic accuracy) of the CAVI were evaluated. Results: There were high internal consistency (Cronbach's alpha = 0.9733), high test-retest reliability (intraclass correlation coefficient = 0.9578, p < 0.01), high content validity (content validity index = 0.9710), high criterion-related validity (Pearson's r = 0.9439, p < 0.01 between CAVI and Voice Handicap Index-10; r = 0.8070, p < 0.01 between CAVI and voice-related quality of life [V-RQOL]), and significant difference in CAVI scores between the two groups with huge effect size (t(34.69) = -11.59, Cohen's d = 2.81, p < 0.001). Receiver operating characteristic analysis revealed a high diagnostic accuracy of the CAVI, with an area under the curve of 0.9974 (p < 0.001) and a cut-off score of 12.0 with 100% sensitivity and 97.1% specificity. Conclusion: Our findings suggested that the CAVI could be a reliable and valid standardized self-assessment questionnaire tool for clinical evaluation of the impact of voice problems specifically for Mandarin-speaking older adults. Further studies should explore a full-scale validation of the CAVI for being a standard clinical tool, including for older adults in Mainland China. Level of evidence: 3b (case-control study).

The Reliability and Validity of the Mandarin Chinese Version of the Vocal Fatigue Index: Preliminary Validation.

PURPOSE: This study attempted to develop and to preliminarily validate the Mandarin Chinese version of the Vocal Fatigue Index (VFI) as a standardized self-assessment questionnaire tool for potential clinical applications. METHOD: The experimental procedure involved (a) cross-cultural adaptation of the VFI into the Mandarin Chinese version (CVFI), (b) evaluation by an expert panel, (c) back translation, (d) pilot testing, and (e) validation of the questionnaire by three participant groups: 50 with voice disorders, 50 occupational voice users (at-risk group), and 50 with normal voice (control group). Internal consistency, test-retest reliability, content validity, and convergent validity of the CVFI were examined, and discriminatory ability (diagnostic accuracy) for distinguishing between the groups was evaluated. RESULTS: Results showed high internal consistency (Cronbach's alpha ≥ .8817 for the total CVFI scores for all groups), high test-retest reliability (intraclass correlation coefficients ≥ .9072, p < .001 for the total CVFI scores for all groups), high content validity (total content validity index = 0.9368), and high convergent validity (Pearson r ≥ .8155, p < .001 between the total CVFI scores and Factors 1 and 2 scores). Significant differences between the three groups were found in all scores. Receiver operating characteristic analysis revealed a high diagnostic accuracy for distinguishing between the disorders group and the normal group (area under the curve ≥ 0.927, p < .001 for the total CVFI scores and Factors 1 and 2 scores), with cutoff scores of ≥ 36 (total CVFI score), ≥ 23.5 (Factor 1 score), ≥ 7.5 (Factor 2 score), and ≤ 6.5 (Factor 3 score). CONCLUSIONS: These findings suggested that the CVFI could be a reliable and valid self-assessment tool for the clinical evaluation of vocal fatigue in Mandarin Chinese-speaking populations. A full-scale validation study of the CVFI is recommended to verify these results.

Multi-dimensional investigation of the clinical effectiveness and prognostic factors of voice therapy for benign voice disorders.

BACKGROUND/PURPOSE: Voice therapy is frequently recommended as the first-line treatment for benign voice disorders. This study investigated the clinical effectiveness of voice therapy and the prognostic factors of treatment outcomes. METHODS: We recruited 103 consecutive patients with voice disorders, namely vocal nodules, polyps, and muscle tension dysphonia (MTD), from September 2014 to July 2016. All the patients received voice therapy as the primary treatment. Treatment outcomes were evaluated using auditory perceptual evaluation, acoustic analysis, maximum phonation time, and 10-item voice handicap index (VHI-10). Clinical effectiveness of voice therapy was defined by either 1) a posttreatment VHI-10 score ≤ 10 points or 2) decline of VHI-10 ≥ 4 points. RESULTS: After voice therapy, VHI-10 and perceptual rating of voice quality improved significantly (p < 0.05) in the three disease categories. In patients with nodules, all the outcome parameters improved significantly (p < 0.05). Patients with good adherence to voice therapy (attending more than four sessions) had a significantly higher effectiveness than those with poor adherence (87% vs. 64%, p < 0.05). Patients with high occupational vocal demand also demonstrated a better effectiveness than those with routine vocal demand (90% vs. 70%, p < 0.05). Subsequent multivariate analyses revealed that adherence and vocal demand were independently and significantly correlated with clinical effectiveness (p = 0.03). CONCLUSION: Voice therapy is effective for patients with vocal nodules, polyps, and MTD. Adherence to voice therapy and occupational vocal demand are significant prognostic factors for treatment outcomes.

Voice Therapy for Benign Voice Disorders in the Elderly: A Randomized Controlled Trial Comparing Telepractice and Conventional Face-to-Face Therapy.

Purpose Previous studies have reported that voice therapy via telepractice is useful for patients with nodules and muscle tension dysphonia. Nevertheless, telepractice for elderly patients with voice disorders has not yet been investigated. We conducted this study to examine the hypothesis that voice therapy via telepractice is not inferior to conventional voice therapy. Method Eighty patients with dysphonia aged more than 55 years participated in this study from September 2016 to June 2018. After screening the inclusion and the exclusion criteria, 69 patients were randomized into telepractice (33 patients) and conventional (36 patients) groups. The outcome measurements included Voice Handicap Index-10, videolaryngostroboscopy, maximum phonation time, auditory-perceptual evaluation, and acoustic analysis. Paired t test, Wilcoxon signed-ranks test, and repeated measures analysis of variance were used to examine treatment outcomes. Results The diagnoses of voice disorders included atrophy (n = 33), unilateral vocal paralysis (n = 13), muscle tension dysphonia (n = 7), nodules (n = 6), and polyps (n = 10). No significant differences were observed in age, sex, and baseline measurements between the two groups. Twenty-five patients in the telepractice group and 24 patients in the control group completed at least four weekly sessions. Significant improvements were observed for all the outcome measures (p < .05) in both groups. Improvements in Voice Handicap Index-10 in the telepractice group (24.84 ± 5.49 to 16.80 ± 8.94) were comparable to those in the conventional group (22.17 ± 7.29 to 13.46 ± 9.95, p = .764). Other parameters also showed comparable improvements between the two groups without statistically significant differences. Conclusions This is the first randomized controlled trial comparing telepractice and conventional voice therapy in elderly patients with voice disorders. The results showed that the effectiveness of voice therapy via telepractice was not inferior to that of conventional voice therapy, indicating that telepractice can be used as an alternative to provide voice care for elderly patients with vocal disorders.

Detection of Pathological Voice Using Cepstrum Vectors: A Deep Learning Approach.

OBJECTIVES: Computerized detection of voice disorders has attracted considerable academic and clinical interest in the hope of providing an effective screening method for voice diseases before endoscopic confirmation. This study proposes a deep-learning-based approach to detect pathological voice and examines its performance and utility compared with other automatic classification algorithms. METHODS: This study retrospectively collected 60 normal voice samples and 402 pathological voice samples of 8 common clinical voice disorders in a voice clinic of a tertiary teaching hospital. We extracted Mel frequency cepstral coefficients from 3-second samples of a sustained vowel. The performances of three machine learning algorithms, namely, deep neural network (DNN), support vector machine, and Gaussian mixture model, were evaluated based on a fivefold cross-validation. Collective cases from the voice disorder database of MEEI (Massachusetts Eye and Ear Infirmary) were used to verify the performance of the classification mechanisms. RESULTS: The experimental results demonstrated that DNN outperforms Gaussian mixture model and support vector machine. Its accuracy in detecting voice pathologies reached 94.26% and 90.52% in male and female subjects, based on three representative Mel frequency cepstral coefficient features. When applied to the MEEI database for validation, the DNN also achieved a higher accuracy (99.32%) than the other two classification algorithms. CONCLUSIONS: By stacking several layers of neurons with optimized weights, the proposed DNN algorithm can fully utilize the acoustic features and efficiently differentiate between normal and pathological voice samples. Based on this pilot study, future research may proceed to explore more application of DNN from laboratory and clinical perspectives.

Demographic and Symptomatic Features of Voice Disorders and Their Potential Application in Classification Using Machine Learning Algorithms.

BACKGROUND: Studies have used questionnaires of dysphonic symptoms to screen voice disorders. This study investigated whether the differential presentation of demographic and symptomatic features can be applied to computerized classification. METHODS: We recruited 100 patients with glottic neoplasm, 508 with phonotraumatic lesions, and 153 with unilateral vocal palsy. Statistical analyses revealed significantly different distributions of demographic and symptomatic variables. Machine learning algorithms, including decision tree, linear discriminant analysis, K-nearest neighbors, support vector machine, and artificial neural network, were applied to classify voice disorders. RESULTS: The results showed that demographic features were more effective for detecting neoplastic and phonotraumatic lesions, whereas symptoms were useful for detecting vocal palsy. When combining demographic and symptomatic variables, the artificial neural network achieved the highest accuracy of 83 ± 1.58%, whereas the accuracy achieved by other algorithms ranged from 74 to 82.6%. Decision tree analyses revealed that sex, age, smoking status, sudden onset of dysphonia, and 10-item voice handicap index scores were significant characteristics for classification. CONCLUSION: This study demonstrated a significant difference in demographic and symptomatic features between glottic neoplasm, phonotraumatic lesions, and vocal palsy. These features may facilitate automatic classification of voice disorders through machine learning algorithms.

Treatment Outcomes and Adverse Events Following In-Office Angiolytic Laser With or Without Concurrent Polypectomy for Vocal Fold Polyps.

Importance: In-office angiolytic laser procedures have been used successfully as an alternative treatment for vocal fold polyps; little is known in detail about the treatment outcomes and adverse events. Objective: To examine the outcomes and incidence rates of adverse events associated with in-office angiolytic laser procedures with or without concurrent polypectomy as an alternative treatment for vocal fold polyps. Design, Setting, and Participants: Retrospective cohort study at a tertiary medical center. We identified 114 consecutive patients with vocal polyps who underwent in-office angiolytic laser treatments between January 1, 2014, and August 31, 2016. After the exclusion of 17 with missing or incomplete data, 97 were enrolled. Interventions: In-office 532-nm laser procedures with or without concurrent polypectomy. Main Outcomes and Measures: Between 1 and 2 months after the surgical procedures, we collected the following outcome data: videolaryngostroboscopy, perceptual rating of voice quality, acoustic analysis, maximal phonation time, and subjective rating of voice quality using a visual analogue scale and 10-item voice handicap index. Results: This study enrolled 97 patients (mean [SD] age, 45.6 [11.3] years; 48 [49%] male). The mean duration of symptoms was 10.1 months (range, 1-60 months). Twenty-nine patients (30%) had angiolytic laser procedures only, while 68 (70%) received laser with concurrent polypectomy. Both treatment modalities offered significant improvements. Only 1 patient (1%) receiving angiolytic laser with concurrent polypectomy underwent another treatment session, so this group had significantly less need for multiple treatments than those receiving laser treatment alone (6 [21%]; effect size, -1.57; 95% CI, -2.77 to -0.36). We identified 8 adverse events (8% of the cases): vocal fold edema (n = 5), vocal hematoma (n = 2), and vocal ulceration (n = 1). Patients treated with laser plus concurrent polypectomy had significantly fewer adverse events than those treated with angiolytic laser alone (2 [3%] vs 6 [21%]; effect size, 1.20; 95% CI, 0.26 to 2.13). Conclusions and Relevance: In-office angiolytic laser procedures can be an effective alternative treatment for vocal polyps, although with possible need for multiple treatment sessions and occasional occurrence of minor postoperative adverse events. Concurrent polypectomy following laser coagulation allows less laser energy delivery and reduces the risk of postoperative adverse events and the need for additional treatment sessions.

Correlation Between Acoustic Measurements and Self-Reported Voice Disorders Among Female Teachers.

OBJECTIVE: Many studies focused on teachers' voice problems and most of them were conducted using questionnaires, whereas little research has investigated the relationship between self-reported voice disorders and objective quantification of voice. This study intends to explore the relationship of acoustic measurements according to self-reported symptoms and its predictive value of future dysphonia. STUDY DESIGN: This is a case-control study. METHODS: Voice samples of 80 female teachers were analyzed, including 40 self-reported voice disorders (VD) and 40 self-reported normal voice (NVD) subjects. The acoustic measurements included jitter, shimmer, and noise-to-harmonics ratio (NHR). Levene's t test and logistic regression were used to analyze the differences between VD and NVD and the relationship between self-reported voice conditions and the acoustic measurements. To examine whether acoustic measurements can be used to predict further voice disorders, we applied a receiver operating characteristic (ROC) curve to determine the cutoff values and the associated sensitivity and specificity. RESULTS: The results showed that jitter, shimmer, and the NHR of VD were significantly higher than those of NVD. Among the parameters, the NHR and shimmer demonstrated the highest correlation with self-reported voice disorders. By using the NHR ≥0.138 and shimmer ≥0.470 dB as the cutoff values, the ROC curve displayed 72.5% of sensitivity and 75% of specificity, and the overall positive predictive value for subsequent dysphonia achieved 60%. CONCLUSIONS: This study demonstrated a significant correlation between acoustic measurements and self-reported dysphonic symptoms. NHR and ShdB are two acoustic parameters that are more able to reflect vocal abnormalities and, probably, to predict subsequent subjective voice disorder. Future research recruiting more subjects in other occupations and genders shall validate the preliminary results revealed in this study.