The association of E2F1 and E2F2 single nucleotide polymorphisms with laryngeal squamous cell carcinoma pathomorphological features.

BACKGROUND: Laryngeal squamous cell carcinoma (LSCC) is one of the most common types of cancer in the upper respiratory tract. It is well-known that it has a high mortality rate and poor prognosis in advanced stages. There are well-known risk factors for LSCC, though new specific and prognostic blood-based markers for LSCC development and prognosis are essential. The current study aimed to evaluate the impact of four different single nucleotide polymorphisms (SNPs), E2F1 (rs3213183 and rs3213180) and E2F2 (rs2075993 and rs3820028), on LSCC development, morphological features, and patient 5-year survival rate. METHODS: A total of 200 LSCC patients and 200 controls were included in this study; both groups were matched by age and sex. In the present study, we analyzed four single nucleotide polymorphisms (SNPs) in the genes E2F1 (rs3213183 and rs3213180) and E2F2 (rs2075993 and rs3820028) and evaluated their associations with the risk of LSCC development, its clinical and morphological manifestation, and patients 5-year survival rate. Genotyping was carried out using RT-PCR. RESULTS: None of the analyzed SNPs showed a direct association with LSCC development. E2F2 rs2075993 G allele carriers (OR = 4.589, 95% CI 1.050-20.051, p = 0.043) and rs3820028 A allele carriers (OR = 4.750, 95% CI 1.088-20.736, p = 0.038) had a statistically significantly higher risk for poor differentiated or undifferentiated LSCC than non-carriers. E2F1 rs3213180 GC heterozygotes were found to have a 3.7-fold increased risk for lymph node involvement (OR = 3.710, 95% CI 1.452-9.479, p = 0.006). There was no statistically significant association between investigated SNPs and patient 5-year survival rate. CONCLUSIONS: The present study indicates that E2F2 rs2075993 and rs3820028 impact LSCC differentiation, whereas E2F1 rs3213180 - on lymph node involvement.

An iOS-based VoiceScreen application: feasibility for use in clinical settings-a pilot study.

OBJECTIVES: To elaborate the application suitable for smartphones for estimation of Acoustic Voice Quality Index (AVQI) and evaluate its usability in the clinical setting. METHODS: An elaborated AVQI automatization and background noise monitoring functions were implemented into a mobile "VoiceScreen" application running the iOS operating system. A study group consisted of 103 adult individuals with normal voices (n = 30) and 73 patients with pathological voices. Voice recordings were performed in the clinical setting with "VoiceScreen" app using iPhone 8 microphones. Voices of 30 patients were recorded before and 1 month after phonosurgical intervention. To evaluate the diagnostic accuracy differentiating normal and pathological voice, the receiver-operating characteristic statistics, i.e., area under the curve (AUC), sensitivity and specificity, and correct classification rate (CCR) were used. RESULTS: A high level of precision of AVQI in discriminating between normal and dysphonic voices was yielded with corresponding AUC = 0.937. The AVQI cutoff score of 3.4 demonstrated a sensitivity of 86.3% and specificity of 95.6% with a CCR of 89.2%. The preoperative mean value of the AVQI [6.01(SD 2.39)] in the post-phonosurgical follow-up group decreased to 2.00 (SD 1.08). No statistically significant differences (p = 0.216) between AVQI measurements in a normal voice and 1-month follow-up after phonosurgery groups were revealed. CONCLUSIONS: The "VoiceScreen" app represents an accurate and robust tool for voice quality measurement and demonstrates the potential to be used in clinical settings as a sensitive measure of voice changes across phonosurgical treatment outcomes.

Exploring the feasibility of the combination of acoustic voice quality index and glottal function index for voice pathology screening.

PURPOSE: The aim of this study was to explore the diagnostic value of the combination of Acoustic Voice Quality Index (AVQI) and Glottal Function Index (GFI) as a screening tool for voice disorders, and to compare the AVQI measurements obtained using oral and smartphone (SP) microphones. METHODS: A study group consisted of 183 adult individuals including 86 subjects with normal voice and 97 patients with pathological voice. Voice recordings were performed simultaneously with an oral AKG Perception 220 and SP iPhone 6s microphones. To evaluate the diagnostic accuracy differentiating normal and pathological voice, the receiver-operating characteristic statistics [area under curve (AUC), positive and negative likelihood ratios (LR+ and LR-)], and correct classification rate (CCR) were used. RESULTS: The AVQI cut-off scores of 3.31 for oral and 3.32 for SP microphones were associated with very good test accuracy (AUC = 0.857 and AUC = 0.818), resulting in balance between sensitivity and specificity (70.0% vs 86.0% and 70% vs 87.0%). The CCR reached 78%. The combined AVQI and GFI cut-off scores of 6.65 for oral and 7.1 for SP microphones corresponded with excellent test accuracy (AUC = 0.976 and AUC = 0.965) and sensitivity and specificity (93.0% vs 93.0% and 91.0% vs 94%). Very respectable levels of LR+ and LR- both for oral microphone (13.3 and 0.08) and for SP microphone (15.6 and 0.10) voice recordings were achieved. CCRs of 93% and 92% confirmed the results of ROC statistics. CONCLUSIONS: Combination of AVQI and GFI measurements significantly improved diagnostic accuracy in differentiating normal vs pathological voice.

A comparison of Dysphonia Severity Index and Acoustic Voice Quality Index measures in differentiating normal and dysphonic voices.

PURPOSE: The aim of the study was to investigate and compare the feasibility and robustness of the Acoustic Voice Quality Index (AVQI) and the Dysphonia Severity Index (DSI) in diagnostic accuracy, differentiating normal and dysphonic voices. METHODS: A group of 264 subjects with normal voices (n = 105) and with various voice disorders (n = 159) were asked to read aloud a text and to sustain the vowel /a/. Both speech tasks were concatenated, and perceptually rated for dysphonia severity by five voice clinicians. They rated the Grade (G) and the overall dysphonia severity with a visual analog scale (VAS). All concatenated voice samples were acoustically analyzed to receive an AVQI score. For DSI analysis, the required voice parameters were obtained from the sustained phonation of the vowel /a/. RESULTS: The results achieved significant and marked concurrent validity between both auditory-perceptual judgment procedures and both acoustic voice measures. The DSI threshold (i.e., DSI = 3.30) pertaining to Gmean obtained reasonable sensitivity of 85.8% and specificity of 83.4%. For VASmean, the DSI threshold of 3.30 was determined also with reasonable sensitivity of 70.3% and excellent specificity of 93.9%. Also, the AVQI threshold (i.e., AVQI = 3.31) pertaining to Gmean demonstrated reasonable sensitivity of 78.1% and excellent specificity of 92.0%. For VASmean, an AVQI threshold of 3.33 was determined with excellent sensitivity of 97.0% and reasonable specificity of 81.8%. CONLUSION: The outcomes of the present study indicate comparable results between DSI and AVQI with a high level of validity to discriminate between normal and dysphonic voices. However, a higher level of accuracy was yielded for AVQI as a correlate of auditory perceptual judgment suggesting a reliable voice screening potential of AVQI.

Global Genomic Diversity of Human Papillomavirus 11 Based on 433 Isolates and 78 Complete Genome Sequences.

UNLABELLED: Human papillomavirus 11 (HPV11) is an etiological agent of anogenital warts and laryngeal papillomas and is included in the 4-valent and 9-valent prophylactic HPV vaccines. We established the largest collection of globally circulating HPV11 isolates to date and examined the genomic diversity of 433 isolates and 78 complete genomes (CGs) from six continents. The genomic variation within the 2,800-bp E5a-E5b-L1-upstream regulatory region was initially studied in 181/207 (87.4%) HPV11 isolates collected for this study. Of these, the CGs of 30 HPV11 variants containing unique single nucleotide polymorphisms (SNPs), indels (insertions or deletions), or amino acid changes were fully sequenced. A maximum likelihood tree based on the global alignment of 78 HPV11 CGs (30 CGs from our study and 48 CGs from GenBank) revealed two HPV11 lineages (lineages A and B) and four sublineages (sublineages A1, A2, A3, and A4). HPV11 (sub)lineage-specific SNPs within the CG were identified, as well as the 208-bp representative region for CG-based phylogenetic clustering within the partial E2 open reading frame and noncoding region 2. Globally, sublineage A2 was the most prevalent, followed by sublineages A1, A3, and A4 and lineage B. IMPORTANCE: This collaborative international study defined the global heterogeneity of HPV11 and established the largest collection of globally circulating HPV11 genomic variants to date. Thirty novel complete HPV11 genomes were determined and submitted to the available sequence repositories. Global phylogenetic analysis revealed two HPV11 variant lineages and four sublineages. The HPV11 (sub)lineage-specific SNPs and the representative region identified within the partial genomic region E2/noncoding region 2 (NCR2) will enable the simpler identification and comparison of HPV11 variants worldwide. This study provides an important knowledge base for HPV11 for future studies in HPV epidemiology, evolution, pathogenicity, prevention, and molecular assay development.

Global genomic diversity of human papillomavirus 6 based on 724 isolates and 190 complete genome sequences.

UNLABELLED: Human papillomavirus type 6 (HPV6) is the major etiological agent of anogenital warts and laryngeal papillomas and has been included in both the quadrivalent and nonavalent prophylactic HPV vaccines. This study investigated the global genomic diversity of HPV6, using 724 isolates and 190 complete genomes from six continents, and the association of HPV6 genomic variants with geographical location, anatomical site of infection/disease, and gender. Initially, a 2,800-bp E5a-E5b-L1-LCR fragment was sequenced from 492/530 (92.8%) HPV6-positive samples collected for this study. Among them, 130 exhibited at least one single nucleotide polymorphism (SNP), indel, or amino acid change in the E5a-E5b-L1-LCR fragment and were sequenced in full. A global alignment and maximum likelihood tree of 190 complete HPV6 genomes (130 fully sequenced in this study and 60 obtained from sequence repositories) revealed two variant lineages, A and B, and five B sublineages: B1, B2, B3, B4, and B5. HPV6 (sub)lineage-specific SNPs and a 960-bp representative region for whole-genome-based phylogenetic clustering within the L2 open reading frame were identified. Multivariate logistic regression analysis revealed that lineage B predominated globally. Sublineage B3 was more common in Africa and North and South America, and lineage A was more common in Asia. Sublineages B1 and B3 were associated with anogenital infections, indicating a potential lesion-specific predilection of some HPV6 sublineages. Females had higher odds for infection with sublineage B3 than males. In conclusion, a global HPV6 phylogenetic analysis revealed the existence of two variant lineages and five sublineages, showing some degree of ethnogeographic, gender, and/or disease predilection in their distribution. IMPORTANCE: This study established the largest database of globally circulating HPV6 genomic variants and contributed a total of 130 new, complete HPV6 genome sequences to available sequence repositories. Two HPV6 variant lineages and five sublineages were identified and showed some degree of association with geographical location, anatomical site of infection/disease, and/or gender. We additionally identified several HPV6 lineage- and sublineage-specific SNPs to facilitate the identification of HPV6 variants and determined a representative region within the L2 gene that is suitable for HPV6 whole-genome-based phylogenetic analysis. This study complements and significantly expands the current knowledge of HPV6 genetic diversity and forms a comprehensive basis for future epidemiological, evolutionary, functional, pathogenicity, vaccination, and molecular assay development studies.

Efficacy of radiofrequency treatment of the soft palate for patients with mild to moderate obstructive sleep apnea hypopnea syndrome: treatment protocol with nine lesions to the soft palate.

PURPOSE: The study aimed at assessing the efficacy and safety of a radiofrequency treatment (RFT) protocol with nine lesions to the soft palate in the treatment of mild to moderate obstructive sleep apnea hypopnea syndrome (OSAHS). METHODS: Twenty-eight mild to moderate OSAHS patients underwent two sessions of RFT (CelonLab ENT system) at the palatal level within the interval from 6 to 8 weeks. Nine lesions (power setting of 10 W) were made per session. The baseline and posttreatment polysomnography and clinical tests battery consisting of visual analogue scales (VAS), Sleep Apnea Quality of Life Index (SAQLI), Beck Depression Inventory--second edition (BDI-II), and Epworth sleepiness scale (ESS) were applied to assess the RFT outcomes. RESULTS: Mild to moderate OSAHS patients demonstrated statistically significantly reduced posttreatment mean VAS values for most of the OSAHS-related complaints. A significant improvement in sleepiness (ESS score 6.7 ± 3.7 vs 8.5 ± 4.1, p < 0.01), depressivity (BDI-II score 7.5 ± 6.5 vs 13.1 ± 11.7, p < 0.01), and health-related quality of life (SAQLI score 5.3 ± 0.8 vs 4.7 ± 0.9, p < 0.01) was observed after the RFT. The mean AHI decreased from 13.7 ± 5.9 to 8.3 ± 4.9 points (p < 0.01) in the entire group of patients. According to Sher's criteria of success, 17 out of 28 (60.7 %) patients improved after RFT. No major complications were noted with RFT. CONCLUSIONS: RFT protocol with nine lesions to the soft palate seems to be an effective and safe treatment modality associated with low morbidity in selected mild to moderate OSAHS patients.

Exploring the feasibility of smart phone microphone for measurement of acoustic voice parameters and voice pathology screening.

The objective of this study is to evaluate the reliability of acoustic voice parameters obtained using smart phone (SP) microphones and investigate the utility of use of SP voice recordings for voice screening. Voice samples of sustained vowel/a/obtained from 118 subjects (34 normal and 84 pathological voices) were recorded simultaneously through two microphones: oral AKG Perception 220 microphone and SP Samsung Galaxy Note3 microphone. Acoustic voice signal data were measured for fundamental frequency, jitter and shimmer, normalized noise energy (NNE), signal to noise ratio and harmonic to noise ratio using Dr. Speech software. Discriminant analysis-based Correct Classification Rate (CCR) and Random Forest Classifier (RFC) based Equal Error Rate (EER) were used to evaluate the feasibility of acoustic voice parameters classifying normal and pathological voice classes. Lithuanian version of Glottal Function Index (LT_GFI) questionnaire was utilized for self-assessment of the severity of voice disorder. The correlations of acoustic voice parameters obtained with two types of microphones were statistically significant and strong (r = 0.73-1.0) for the entire measurements. When classifying into normal/pathological voice classes, the Oral-NNE revealed the CCR of 73.7% and the pair of SP-NNE and SP-shimmer parameters revealed CCR of 79.5%. However, fusion of the results obtained from SP voice recordings and GFI data provided the CCR of 84.60% and RFC revealed the EER of 7.9%, respectively. In conclusion, measurements of acoustic voice parameters using SP microphone were shown to be reliable in clinical settings demonstrating high CCR and low EER when distinguishing normal and pathological voice classes, and validated the suitability of the SP microphone signal for the task of automatic voice analysis and screening.

Correlation between throat-related symptoms and histological examination in adults with chronic tonsillitis.

OBJECTIVE: The aim of the study was to evaluate correlations between throat-related symptoms and histological findings in adults with chronic tonsillitis. MATERIALS AND METHODS: A prospective cohort study was carried out. Throat-related symptoms (complaints, tonsillitis rate, and pharyngeal findings) of 81 adults with histologically proven chronic tonsillitis followed by tonsillectomy were analyzed. Four types of histological changes in removed tonsils were determined: (1) pure hyperplasia, (2) chronic inflammation, (3) chronic inflammation with hyperplasia, (4) chronic inflammation with scarring/fibrosis. The power of correlation was tested using the Pearson contingency coefficient (CC). RESULTS: Recurrent throat infections were the most common complaint (74.1%). The mean tonsillitis rate was 3.6 (SD 1.9) episodes per year. Tonsillar cryptic debris (61.7%) and hyperemia of the anterior pillars (59.3%) were the most common pharyngeal findings. Chronic inflammation with hyperplasia was predominant (38.3%) histological type of chronic tonsillitis. The statistically significant correlations between histological type and combination of tonsillitis rate ≥3 times per year with cryptic debris (CC=0.346; P=0.010) and cryptic debris alone (CC=0.294; P=0.051) were detected. CONCLUSIONS: Assessment of throat-related symptoms is complementary to histological examination in adults with chronic tonsillitis.

Controlled trial of combined radiofrequency-assisted uvulopalatoplasty in the treatment of snoring and mild to moderate OSAS (pilot study).

PURPOSE: The aim of this study was to assess the efficacy of radiofrequency treatment (RFT) of the soft palate and combined radiofrequency-assisted uvulopalatoplasty (RF-UPP) in the treatment of snoring and mild to moderate obstructive sleep apnea/hypopnea syndrome (OSAHS). METHODS: In the study group consisting of 32 snoring and mild to moderate OSAHS patients with excessive soft tissue of the soft palate or uvula, 13 patients underwent RFT of the soft palate and 19 patients underwent combined RF-UPP. The baseline and posttreatment polysomnography and clinical test battery consisting of Visual Analogue Scales (VAS), Lithuanian version of Sleep Apnea Quality of Life Index (SAQLI-LT), Spielberg's Trait-State Anxiety Inventory, Beck Depression Inventory-second edition (BDI-II), and Epworth Sleepiness Scale were applied to assess the treatment outcomes. RESULTS: After a short-term follow-up of 2 to 3 months, the group of the RFT patients showed improvement in mean VAS snoring and SAQLI-LT scores, while the group of RF-UPP patients showed statistically significantly improvement in mean apnea-hypopnea index (AHI) (12.51 ± 7.66 vs. 7.88 ± 6.05, p < 0.05, ß = 0.107), SAQLI-LT, and BDI-II scores. The group of RF-UPP patients had superior and statistically significant improvement compared to the RFT alone patients with regard to mean AHI (effect size 4.63 ± 4.65 vs. 0.95 ± 4.83, p < 0.05) and SAQLI-LT (effect size 0.75 ± 0.59 vs. 0.33 ± 0.40, p < 0.05) scores. CONCLUSIONS: Combined RF-UPP showed to be effective in the treatment of snoring and mild to moderate OSAS overcoming the RFT alone.

Accuracy of Acoustic Voice Quality Index Captured With a Smartphone - Measurements With Added Ambient Noise.

OBJECTIVE: To evaluate the accuracy of Acoustic Voice Quality Index (AVQI) measures obtained from voice recordings simultaneously using oral and smartphone microphones in a sound-proof room, and to compare them with AVQIs obtained from the same smartphone voice recordings with added ambient noise. METHODS: A study group of 183 subjects with normal voices (n = 86) and various voice disorders (n = 97) was asked to read aloud a standard text and sustain the vowel /a/. The controlled ambient noise averaged at 29.61 dB SPL was added digitally to the smartphone voice recordings. Repeated measures analysis of variances (ANOVA) with Greenhouse-Geiser correction was used to evaluate AVQI changes within subjects. To evaluate the level of agreement between AVQI measurements obtained from different voice recordings Bland-Altman plots were used. RESULTS: Repeated measures ANOVA showed that differences among AVQI results obtained from voice recordings done with oral studio microphone, recordings done with a smartphone microphone, and recordings done with a smartphone microphone with added ambient noise were not statistically significant (P = 0.07). No significant systemic differences and acceptable level of random errors in AVQI measurements of voice recordings made with oral and smartphone microphones (including added noise) were revealed. CONCLUSION: The AVQI measures obtained from smartphone microphones voice recordings with experimentally added ambient noise revealed an acceptable agreement with results of oral microphone recordings, thus suggesting the suitability of smartphone microphone recordings performed even in the presence of acceptable ambient noise for estimation of AVQI.

The survival rate of laryngeal squamous cell carcinoma: impact of IL1RAP rs4624606, IL1RL1 rs1041973, IL-6 rs1800795, BLK rs13277113, and TIMP3 rs9621532 single nucleotide polymorphisms.

PURPOSE: Results of laryngeal squamous cell carcinoma (LSCC) treatment and the 5 year survival rate of these patients remain poor. To purify therapeutic targets, investigation of new specific and prognostic blood-based markers for LSCC development is essential. METHODS: In the present study, we evaluated five single nucleotide polymorphisms (SNPs): IL1RAP rs4624606, IL1RL1 rs1041973, IL-6 rs1800795, BLK rs13277113, and TIMP3 rs9621532, and determined their associations with the patients' 5 year survival rate. Also, we performed a detailed statistical analysis of different LSCC patients' characteristics impact on their survival rate. RESULTS: Three hundred fifty-three LSCC patients and 538 control subjects were included in this study. The multivariable Cox regression analysis revealed a significant association between patients' survival rate and distribution of IL1RAP rs4624606 variants: patients carrying AT genotype at IL1RAP rs4624606 had a lower risk of death (p = 0.044). Also, it was revealed that tumor size (T) (p = 0.000), tumor differentiation grade (G) (p = 0.015), and IL1RAP rs4624606 genotype (p = 0.044) were effective variables in multivariable Cox regression analysis prognosing survival of LSCC patients. The specific-LSCC 5 year survival rate was 77%. CONCLUSIONS: In summary, our findings indicate that the genotypic distribution of IL1RAP rs4624606 influences the 5 year survival rate of LSCC patients. The results of the present study facilitate a more complete understanding of LSCC at the biological level, thus providing the base for the identification of new specific and prognostic blood-based markers for LSCC development.

Pareto-Optimized Non-Negative Matrix Factorization Approach to the Cleaning of Alaryngeal Speech Signals.

The problem of cleaning impaired speech is crucial for various applications such as speech recognition, telecommunication, and assistive technologies. In this paper, we propose a novel approach that combines Pareto-optimized deep learning with non-negative matrix factorization (NMF) to effectively reduce noise in impaired speech signals while preserving the quality of the desired speech. Our method begins by calculating the spectrogram of a noisy voice clip and extracting frequency statistics. A threshold is then determined based on the desired noise sensitivity, and a noise-to-signal mask is computed. This mask is smoothed to avoid abrupt transitions in noise levels, and the modified spectrogram is obtained by applying the smoothed mask to the signal spectrogram. We then employ a Pareto-optimized NMF to decompose the modified spectrogram into basis functions and corresponding weights, which are used to reconstruct the clean speech spectrogram. The final noise-reduced waveform is obtained by inverting the clean speech spectrogram. Our proposed method achieves a balance between various objectives, such as noise suppression, speech quality preservation, and computational efficiency, by leveraging Pareto optimization in the deep learning model. The experimental results demonstrate the effectiveness of our approach in cleaning alaryngeal speech signals, making it a promising solution for various real-world applications.

Reliability of Universal-Platform-Based Voice Screen Application in AVQI Measurements Captured with Different Smartphones.

The aim of the study was to develop a universal-platform-based (UPB) application suitable for different smartphones for estimation of the Acoustic Voice Quality Index (AVQI) and evaluate its reliability in AVQI measurements and normal and pathological voice differentiation. Our study group consisted of 135 adult individuals, including 49 with normal voices and 86 patients with pathological voices. The developed UPB "Voice Screen" application installed on five iOS and Android smartphones was used for AVQI estimation. The AVQI measures calculated from voice recordings obtained from a reference studio microphone were compared with AVQI results obtained using smartphones. The diagnostic accuracy of differentiating normal and pathological voices was evaluated by applying receiver-operating characteristics. One-way ANOVA analysis did not detect statistically significant differences between mean AVQI scores revealed using a studio microphone and different smartphones (F = 0.759; p = 0.58). Almost perfect direct linear correlations (r = 0.991-0.987) were observed between the AVQI results obtained with a studio microphone and different smartphones. An acceptable level of precision of the AVQI in discriminating between normal and pathological voices was yielded, with areas under the curve (AUC) displaying 0.834-0.862. There were no statistically significant differences between the AUCs (p > 0.05) obtained from studio and smartphones' microphones. The significant difference revealed between the AUCs was only 0.028. The UPB "Voice Screen" application represented an accurate and robust tool for voice quality measurements and normal vs. pathological voice screening purposes, demonstrating the potential to be used by patients and clinicians for voice assessment, employing both iOS and Android smartphones.

Accuracy Analysis of the Multiparametric Acoustic Voice Indices, the VWI, AVQI, ABI, and DSI Measures, in Differentiating between Normal and Dysphonic Voices.

The study aimed to investigate and compare the accuracy and robustness of the multiparametric acoustic voice indices (MAVIs), namely the Dysphonia Severity Index (DSI), Acoustic Voice Quality Index (AVQI), Acoustic Breathiness Index (ABI), and Voice Wellness Index (VWI) measures in differentiating normal and dysphonic voices. The study group consisted of 129 adult individuals including 49 with normal voices and 80 patients with pathological voices. The diagnostic accuracy of the investigated MAVI in differentiating between normal and pathological voices was assessed using receiver operating characteristics (ROC). Moderate to strong positive linear correlations were observed between different MAVIs. The ROC statistical analysis revealed that all used measurements manifested in a high level of accuracy (area under the curve (AUC) of 0.80 and greater) and an acceptable level of sensitivity and specificity in discriminating between normal and pathological voices. However, with AUC 0.99, the VWI demonstrated the highest diagnostic accuracy. The highest Youden index equaled 0.93, revealing that a VWI cut-off of 4.45 corresponds with highly acceptable sensitivity (97.50%) and specificity (95.92%). In conclusion, the VWI was found to be beneficial in describing differences in voice quality status and discriminating between normal and dysphonic voices based on clinical diagnosis, i.e., dysphonia type, implying the VWI's reliable voice screening potential.

Smartphone-Based Voice Wellness Index Application for Dysphonia Screening and Assessment: Development and Reliability.

OBJECTIVE: This study aimed to develop a Voice Wellness Index (VWI) application combining the acoustic voice quality index (AVQI) and glottal function index (GFI) data and to evaluate its reliability in quantitative voice assessment and normal versus pathological voice differentiation. STUDY DESIGN: Cross-sectional study. METHODS: A total of 135 adult participants (86 patients with voice disorders and 49 patients with normal voices) were included in this study. Five iOS and Android smartphones with the "Voice Wellness Index" app installed were used to estimate VWI. The VWI data obtained using smartphones were compared with VWI measurements computed from voice recordings collected from a reference studio microphone. The diagnostic efficacy of VWI in differentiating between normal and disordered voices was assessed using receiver operating characteristics (ROC). RESULTS: With a Cronbach's alpha of 0.972 and an ICC of 0.972 (0.964-0.979), the VWI scores of the individual smartphones demonstrated remarkable inter-smartphone agreement and reliability. The VWI data obtained from different smartphones and a studio microphone showed nearly perfect direct linear correlations (r = 0.993-0.998). Depending on the individual smartphone device used, the cutoff scores of VWI related to differentiating between normal and pathological voice groups were calculated as 5.6-6.0 with the best balance between sensitivity (94.10-95.15%) and specificity (93.68-95.72%), The diagnostic accuracy was excellent in all cases, with an area under the curve (AUC) of 0.970-0.974. CONCLUSION: The "Voice Wellness Index" application is an accurate and reliable tool for voice quality measurement and normal versus pathological voice screening and has considerable potential to be used by healthcare professionals and patients for voice assessment.

Peculiarities of clinical profile of snoring and mild to moderate obstructive sleep apnea-hypopnea syndrome patients.

PURPOSE: The purpose of this study is to perform comprehensive evaluation of the snoring and mild to moderate obstructive sleep apnea-hypopnea syndrome (OSAHS) patients for their anatomical, functional, and psychoemotional clinical properties. METHODS: Seventy-four snoring patients, aged 24 to 64 (mean 41.83 ± 11.01) years underwent full-night polysomnography, nasopharyngoscopy, and Mueller maneuver. Clinical tests battery consisting of visual analogue scales (VAS) scales, Lithuanian version of Sleep Apnea Quality of Life Index (SAQLI-LT), Spielberg's State-Trait Anxiety Inventory (STAI), Beck Depression Inventory-Second Edition (BDI-II), and Epworth Sleepiness Scale (ESS) were applied to assess their distinctive clinical properties. RESULTS: The total group of snoring and mild to moderate OSAHS patients presented with considerably enlarged VAS snoring and daytime sleepiness scores (mean 66.32 ± 19.07 and 35.03 ± 27.83 points), mild BDI-II scores (mean 10.96 ± 9.42 points), and moderate trait anxiety scores (mean 41.51 ± 8.62 points). All the scores of daytime complaints measured with the VAS correlated statistically significantly with the mean scores of the ESS, SAQLI-LT, trait anxiety, and BDI-II. Both groups, of snoring and mild to moderate OSAHS patients, indicated similar intensity of the major complaints according to the VAS, same as similar BDI-II, STAI, and SAQLI-LT scores. A higher Friedman's score of palatal tonsils was found in the group of snoring patients, comparing to that of the group of mild to moderate OSAHS patients (p < 0.05). CONCLUSIONS: Snoring and mild to moderate OSAHS patients have resemblances in their distinctive anatomical and clinical properties. This group of the patients revealed mild depression and moderate trait anxiety scores when measured with the BDI-II and STAI, which correlated significantly with the severity of the patients' daytime complaints measured with the VAS.

Investigation of Relationship Between Auditory-Perceptual Methods and Self-reported Speech Handicap Index in the Assessment of Substitution Voicing.

OBJECTIVE: To assess correlations between auditory-perceptual and self-reported speech evaluation methods for substitution voicing (SV) and to investigate the robustness of these methods in a clinical setting. METHODS: Fifty-nine male patients who underwent laryngeal oncosurgery and 62 healthy male controls were included in this prospective study. Lithuanian versions of the Speech Handicap Index (SHI-LT) and Impression of voice quality (I), Impression of intelligibility (I), Unintended additive Noise (N), Fluency (F), and Quality of Voicing (Vo) scale (IINFVo-LT) were used to assess and compare self-reported and auditory-perceptual evaluations of SV. Speech samples were rated by a panel of experienced raters. RESULTS: The IINFVo-LT revealed good inter-rater reliability (ICC = 0.825) and intrarater reliability over time (ICC = 0.976) when assessing SV. Statistically significant differences (P < 0.05) of the mean scores of IINFVo-LT among the cordectomy, partial laryngectomy (22.52 [SD 9.98]), tracheoesophageal prosthesis (16.92 [SD 10.71]), and control (48.01 [SD 2.88]) groups confirmed the usefulness of IINFVo-LT for SV rating. A moderate negative correlation (r = -0.61; P < 0.001) demonstrated good concurrent validity between the IINFVo-LT and the SHI-LT total scores. A statistically significant, strong, negative correlation (r = -0.74) was obtained between the IINFVo-LT and SHI-LT speech handicap grade (P < 0.001), demonstrating good concurrent validity. CONCLUSION: The combination of IINFVo-LT and SHI-LT represents a potentially valuable and robust tool for evaluating SV and is helpful for assessing the degree of speech abnormality after laryngeal oncosurgery and its impact on patients' quality of life.

Lightweight Deep Learning Model for Assessment of Substitution Voicing and Speech after Laryngeal Carcinoma Surgery.

Laryngeal carcinoma is the most common malignant tumor of the upper respiratory tract. Total laryngectomy provides complete and permanent detachment of the upper and lower airways that causes the loss of voice, leading to a patient's inability to verbally communicate in the postoperative period. This paper aims to exploit modern areas of deep learning research to objectively classify, extract and measure the substitution voicing after laryngeal oncosurgery from the audio signal. We propose using well-known convolutional neural networks (CNNs) applied for image classification for the analysis of voice audio signal. Our approach takes an input of Mel-frequency spectrogram (MFCC) as an input of deep neural network architecture. A database of digital speech recordings of 367 male subjects (279 normal speech samples and 88 pathological speech samples) was used. Our approach has shown the best true-positive rate of any of the compared state-of-the-art approaches, achieving an overall accuracy of 89.47%.

Factors Affecting the Lifetime of Third-Generation Voice Prosthesis After Total Laryngectomy.

PURPOSE: The study aimed to evaluate the impact of different variables on the longevity of Voice Prosthesis (VP) in patients after total laryngectomy. PATIENTS AND METHODS: This retrospective cohort study is based on data about a continuous series of 328 third-generation VP, which were implanted between 2016 and 2020. Data about the VP users' age, sex, place of residence, laryngeal tumor stage, neck irradiation, VP size, and the use of Heat and Moisture Exchanger (HME) were obtained and analyzed. The effect of these variables on VP lifetime was determined. RESULTS: The median lifetime of VPs in patients 65 years old and above was 182 days (95% CI 168-196), versus 146 days (95% CI 130-162) (P = 0.033) in patients younger than 65. Neck irradiation was associated with a longer VP median lifetime of 161 days (95% CI 142-180) compared to 126 days (95% CI 100-152) with no prior neck irradiation (P = 0.046). HME usage was associated with significantly increased longevity of VPs: 182 days (95% CI 156-208) with HME and 149 days (95% CI 132-166) without HME usage (P = 0.039). CONCLUSION: The results of the present study suggest that neck irradiation, and routine use of use of HME are positively associated with the longevity of VPs.