Checking for voice disorders without clinical intervention: The Greek and global VHI thresholds for voice disordered patients

Voice Outcome After Carbon Dioxide Transoral Laser Microsurgery for Glottic Cancer According to the European Laryngological Society Classification of Cordectomy Types - A Systematic Review

BACKGROUND

Voice outcome after carbon dioxide transoral laser microsurgery (CO2TOLMS) for glottic cancer is of prime importance. However, a comprehensive overview according to the European Laryngological Society (ELS) classification of cordectomies is still lacking. The aim of this systematic review is to summarize data on voice outcome associated with individual types of ELS glottic cordectomy after CO2TOLMS.

MATERIALS AND METHODS

A systematic review of the literature was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement. The initial search identified 936 records of which 25 publications were then included. Voice outcome data (Voice Handicap Index [VHI] version 30, grade of dysphonia [G] and maximum phonation time [MPT]) were extracted per resection type. Weighted averages were calculated.

RESULTS

Data show a gradual increase in the VHI scores although they were still similar for all cordectomy types (range 14.2 to 21.5). The grade of dysphonia showed a gradual increase with increasing resection depth (range 1.0 to 1.9). There was a gradual decrease in the MPT (range 15.2 to 7.2).

CONCLUSION

Voice outcome is related to cordectomy type with mild dysphonia characterizing ELS type I, II and III cordectomies, while more extended cordectomies (ELS type IV, V and VI) result in moderate dysphonia and shortness of breath during phonation. The voice handicap experienced by patients is limited even in the more extended cordectomies.

Looking for an Objective Parameter to Identify Early Vocal Dysfunctions in Healthy Perceived Singers

The finding of minimal laryngeal dysfunctions in professional voice users is essential to prevent the onset of organic vocal pathologies. The purpose of this study is to identify an objective parameter that supports the phoniatric evaluation in detecting minimal laryngeal dysfunctions in singers. 54 professional and non-professional singers have been evaluated with laryngostroboscopy, Multi-Dimensional Voice Program (MDVP), Dysphonia Severity Index (DSI), maximum phonation time (TMF), minimum intensity of sound emission (I-min), maximum frequency (F-max), voice handicap index (VHI), singing voice handicap index (SVHI), manual phonogram and audiometric examination. The SVHI of all the "healthy" singers was on average 23.7 ± 22.5, while that of the "dysfunctional" 20.9 ± 18. No statistically significant difference was found between the SVHI scores of the total of healthy singers compared to the scores of the dysfunctional ones on the VSL (p = 0.6). The between-group comparison of the means of individual parameter values of DSI, TMF, F-max, Jitter, Shimmer, NHR, and SPI was not statistically significant (respectively p = 0.315, 0.2, 0.18, 0.09, 0.2, 0.08, 0.3). The only parameter analyzed that was statistically significant was the I-min (p < 0.05). SVHI is a valid instrument for the evaluation after a therapy but in our experience, it is not useful in distinguishing healthy from dysfunctional patients. The minimum intensity of sound emission measured with the sound level meter (I-low2) resulted a reliable parameter to identify minimal laryngeal dysfunctions and a useful tool in supporting the phoniatric diagnostic-therapeutic process in singers.

Determining Cutoff Point in Bahasa Malaysia Version of Voice Handicap Index-10 (mVHI-10)

OBJECTIVE

Determining the cutoff point on Bahasa Malaysia version of Voice Handicap Index (mVHI-10) questionnaire scores for distinguishing between dysphonic and normal voice samples.

STUDY DESIGN

A cross-sectional study was conducted in the tertiary hospital, Otorhinolaryngology-Head and Neck clinic.

METHODS

The study involved 205 subjects (105 in the dysphonia group; 100 in the normal group) with a complete database of flexible laryngoscopy/stroboscopy, voice recording, acoustic analysis, and mVHI-10 score. A sample with a discrepancy between subjective evaluation and acoustic analysis results was excluded from the study. Each classified dataset matched with the respective mVHI-10 questionnaire score. Finally, all the collected data were subjected to data analysis.

RESULTS

The best cutoff point for mVHI-10 was 7.5 by the receiver operating characteristic curve, with an area under the curve value of 0.997. Its sensitivity, specificity, positive predictive value, and negative predictive value were 92.4%, 100.0%, 100.0%, and 93.0%, respectively.

CONCLUSIONS

The best cutoff point for mVHI-10 is 7.5, as determined by stringent data evaluation and rigorous statistical analysis. With excellent diagnostic accuracy properties, it enhances the usage of the mVHI-10 questionnaire as an excellent screening tool. Nevertheless, we advocate multidimensional voice assessment for diagnostic purposes.

Validation of the Czech Version of the Voice Handicap Index

OBJECTIVE(S)

The present study aims to evaluate the reliability and construct validity of the Czech version of the Voice Handicap Index (VHI-CZ) and determine the cut-off value to distinguish dysphonic patients from nondysphonic individuals.

STUDY DESIGN

Prospective study, Parallel group design.

METHODS

The study investigated 100 adult patients with dysphonia, divided into three groups based on the etiology of the voice problem (neurogenic, functional, and structural). Out of these, 25 patients were used for test-retest analysis, and 45 patients to determine the responsiveness to change. The control group consisted of 51 healthy subjects. All 151 individuals completed the VHI-CZ and were examined with the videolaryngostroboscopy. The internal consistency (Cronbach's alpha), the test-retest reliability (Intra-class Correlation Coefficient, ICC), and the construct validity were analyzed and the normative cut-off value was determined.

RESULTS

The internal consistency of the VHI-CZ was excellent (Cronbach α = 0.984), and test-retest reliability was also excellent (ICC = 0.95, P < 0.001). The correlation between the self-assessed severity of the voice disorder and the VHI-CZ score was strong (Spearman's ρ = 0.877, P < 0.001). The VHI scores differences between dysphonic and nondysphonic patients were statistically significant (Mann-Whitney U test, P < 0.001). The differences among the three etiological subgroups (neurogenic, functional, and structural) were also statistically significant (Kruskal-Wallis test, P < 0.001). Moreover, the differences in the VHI-CZ total scores between pretreatment and posttreatment were statistically significant (Wilcoxon test, P < 0.001). The cut-off score of 13 points was found, by the analysis of the Receiver Operating Characteristic (ROC, Youden Index), to be most suitable for preselecting dysphonic individuals.

CONCLUSION

The existing VHI-CZ showed excellent reliability and construct validity. The Czech VHI is a useful and valid monitoring tool for clinicians.

Change in Voice Quality after Radiotherapy for Early Glottic Cancer

Our aim was to track the changes in voice quality for two years after radiotherapy (RT) for early glottic cancer. A videoendostroboscopy, subjective patient and phoniatrician voice assessments, a Voice Handicap Index questionnaire, and objective acoustic measurements (F0, jitter, shimmer, maximal phonation time) were performed on 50 patients with T1 glottic carcinomas at 3, 12, and 24 months post-RT. The results were compared between the subsequent assessments, and between the assessments at 3 months and 24 months post-RT. The stroboscopy showed a gradual progression of fibrosis of the vocal folds with a significant difference apparent when the assessments at 3 months and 24 months were compared (p < 0.001). Almost all of the subjective assessments of voice quality showed an improvement during the first 2 years, but significant differences were noted at 24 months. Jitter and shimmer deteriorated in the first year after RT with a significant deterioration noticed between the sixth and twelfth months (p = 0.048 and p = 0.002, respectively). Two years after RT, only 8/50 (16%) patients had normal voices. The main reasons for a decreased voice quality after RT for early glottic cancer were post-RT changes in the larynx. Despite a significant improvement in the voice after RT shown in a few of the evaluation methods, only a minority of the patients had a normal voice two years post-RT.

Improved Mitigation of Cyber Threats in IIoT for Smart Cities: A New-Era Approach and Scheme

Cybersecurity in Industrial Internet of Things (IIoT) has become critical as smart cities are becoming increasingly linked to industrial control systems (ICSs) used in critical infrastructure. Consequently, data-driven security systems for analyzing massive amounts of data generated by smart cities have become essential. A representative method for analyzing large-scale data is the game bot detection approach used in massively multiplayer online role-playing games. We reviewed the literature on bot detection methods to extend the anomaly detection approaches used in bot detection schemes to IIoT fields. Finally, we proposed a process wherein the data envelopment analysis (DEA) model was applied to identify features for efficiently detecting anomalous behavior in smart cities. Experimental results using random forest show that our extracted features based on a game bot can achieve an average F1-score of 0.99903 using 10-fold validation. We confirmed the applicability of the analyzed game-industry methodology to other fields and trained a random forest on the high-efficiency features identified by applying a DEA, obtaining an F1-score of 0.997 using the validation set approach. In this study, an anomaly detection method for analyzing massive smart city data based on a game industry methodology was presented and applied to the ICS dataset.

BAGLS, a multihospital Benchmark for Automatic Glottis Segmentation

Laryngeal videoendoscopy is one of the main tools in clinical examinations for voice disorders and voice research. Using high-speed videoendoscopy, it is possible to fully capture the vocal fold oscillations, however, processing the recordings typically involves a time-consuming segmentation of the glottal area by trained experts. Even though automatic methods have been proposed and the task is particularly suited for deep learning methods, there are no public datasets and benchmarks available to compare methods and to allow training of generalizing deep learning models. In an international collaboration of researchers from seven institutions from the EU and USA, we have created BAGLS, a large, multihospital dataset of 59,250 high-speed videoendoscopy frames with individually annotated segmentation masks. The frames are based on 640 recordings of healthy and disordered subjects that were recorded with varying technical equipment by numerous clinicians. The BAGLS dataset will allow an objective comparison of glottis segmentation methods and will enable interested researchers to train their own models and compare their methods.

Factors affecting voice quality in early glottic cancer before and after radiotherapy

Background

Radiotherapy (RT) is a successful mode of treatment for early glottic cancer. The aim of the study was to assess voice quality both before and 3 months after successful RT using multimodal methods while also identifying the factors affecting it.

Patients and methods

In 50 patients with T1 glottic carcinoma, the subjective (patients’ assessment of voice quality [VAS], Voice Handicap Index [VHI] questionnaire, phoniatricians’ assessment using the grade/roughness/ breathiness [GRB] scale), and objective assessments (fundamental laryngeal frequency [F₀]_, jitter, shimmer, maximum phonation time [MPT]) of voice quality were performed before RT and 3 months post-RT. The data on gender, age, extent of the tumors, biopsy types, smoking, local findings, and RT were obtained from the medical documentation.

Results

Three months after the treatment, VAS, VHI, G and R scores, F₀, and MPT significantly improved in comparison with their assessment prior to treatment. Before the treatment, the involvement of the anterior commissure significantly deteriorated jitter (p = 0.044) and the involvement of both vocal folds deteriorated jitter (p = 0.003) and shimmer (p = 0.007). After the RT, F₀ was significantly higher in the patients with repeated biopsy than in the others (p = 0.047). In patients with post-RT changes, the B score was significantly higher than in those without post-RT changes (p = 0.029).

Conclusions

Voice quality already significantly improved three months after the treatment of glottic cancer. The main reason for the decreased voice quality prior to treatment is the tumor’s extent. Post-RT laryngeal changes and repeated biopsies caused more scarring on vocal folds adversely influencing voice quality after the treatment.