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Search Results (238)

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17 pages, 5763 KiB  
Article
Assessment of the Interdependencies Between High-Speed Videoendoscopy and Simultaneously Recorded Audio Data in Various Glottal Pathologies
by Magdalena M. Pietrzak, Wioletta Pietruszewska, Magda Barańska, Aleksander Rycerz, Konrad Stawiski and Ewa Niebudek-Bogusz
Biomedicines 2025, 13(2), 511; https://doi.org/10.3390/biomedicines13020511 - 18 Feb 2025
Viewed by 135
Abstract
Background: This study aimed to investigate the relationships between kymographic parameters derived from high-speed videoendoscopy (HSV) and simultaneously recorded acoustic signals. The research provides insights into the vibratory dynamics of various glottal pathologies, assessed across different glottal widths, and their mutual relations [...] Read more.
Background: This study aimed to investigate the relationships between kymographic parameters derived from high-speed videoendoscopy (HSV) and simultaneously recorded acoustic signals. The research provides insights into the vibratory dynamics of various glottal pathologies, assessed across different glottal widths, and their mutual relations with audio data. Methods: The study included 192 participants categorized as normophonic or having functional or organic lesions (benign, premalignant, and malignant). Parameters describing vocal fold oscillations were calculated using HSV kymography for three glottal widths, along with corresponding acoustic data. Initially, linear correlations between these parameters were assessed. Next, the consistency in cycle detection and its influence on the correlation levels were evaluated. Results: The fundamental frequency (F0) and mean Jitter (Jita) showed the highest correlations between the HSV- and audio-determined parameters (F0: 0.97, Jita: 0.40–0.70), with even stronger correlations when the number of detected cycles was consistent (F0: 0.99, Jita: 0.68–0.98). The correlations for other parameters ranged from low to moderate, with no significant differences observed between the diagnostic subgroups (functional changes and benign and malignant glottal lesions). However, in the premalignant lesions group, high correlations (0.77–0.9) were observed between the HSV and audio parameters, but only for measures describing period perturbations. Beyond F0 and mean Jitter, consistency in cycle detection did not significantly affect correlation levels. Conclusions: The simultaneous audio signal proved useful in verifying the accuracy of HSV quantification measures, particularly for F0, which showed strong agreement between the methods. Discrepancies in other parameters and low correlations between HSV-derived kymography and audio data may suggest the influence of the throat, mouth, and nose resonators, which are added to the glottal signal. While the kymographic analysis based on HSV provides detailed descriptions of vocal fold oscillations, it does not fully capture the three-dimensional structure and complex functionality of the vocal folds. Full article
(This article belongs to the Section Biomedical Engineering and Materials)
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<p>A schematic illustration of the examination process with the rigid endoscope using high-speed videoendoscopy (V) with the simultaneously recorded audio data (A) resulted in the parameter acquisition as listed below: F0, Jitter and its measures (Jita, PPF, PRAP, PPQ3, and PPQ5), and Shimmer and its measures (APF, ARAP, APQ3, and APQ5). The parameters were calculated for three glottal widths, V1—posterior, V2—middle, and V3—anterior, and simultaneously recorded audio data (A).</p>
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<p>Data obtained during the HSV examination with the simultaneously recorded audio signal—an example of subject with polyp of the right vocal fold. Video data (V): (<b>A</b>) image of the glottis with marked glottal widths for the analysis; V1 (blue line)—posterior, V2 (green line)—middle, V3 (brown line)—anterior. (<b>B</b>) Middle glottal width waveform V2 (green line) with detected cycles marked as the green pointers in the bottom of the graph. (<b>C</b>) Fundamental frequency (F0) in time for the posterior glottal width V1 (blue line). (<b>D</b>) Fundamental frequency (F0) in time for the middle glottal width V2 (green line). (<b>E</b>) Fundamental frequency (F0) in time for the anterior glottal width V3 (brown line). Audio data (A): (<b>F</b>) oscillogram with detected cycles marked as the black pointers. (<b>G</b>) Fundamental frequency (F0) in time for the audio data.</p>
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<p>Heat maps showing correlations between kymographic parameters based on the high-speed videoendoscopy (HSV) including different glottal widths (anterior, middle, and posterior) and parameters based on simultaneously recorded audio signals. Heat map scale on the right side of the figure: dark blue, high positive correlation; white, no correlation; dark red, high negative correlation. (<b>A</b>) Whole group; (<b>B</b>) patients with consistent (≤2% variability) cycle detection for different glottal widths based on the high-speed video (HSV) and audio signals. Database with exact values of correlations and column legends included in the <a href="#app1-biomedicines-13-00511" class="html-app">Supplementary Materials (Supplementary Table S5</a>).</p>
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<p>Heat maps showing correlations between kymographic parameters based on the high-speed videoendoscopy (HSV) including different glottal widths (anterior, middle, and posterior) and parameters based on simultaneously recorded audio signals. Heat map scale on the right side of the figure: dark blue, high positive correlation; white, no correlation; dark red, high negative correlation. (<b>A</b>) Whole group; (<b>B</b>) patients with consistent (≤2% variability) cycle detection for different glottal widths based on the high-speed video (HSV) and audio signals. Database with exact values of correlations and column legends included in the <a href="#app1-biomedicines-13-00511" class="html-app">Supplementary Materials (Supplementary Table S5</a>).</p>
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<p>Heat maps showing correlations between kymographic parameters based on the high-speed videoendoscopy (HSV) including different glottal widths (anterior, middle, and posterior) and parameters based on simultaneously recorded audio signals (A) for different groups of patients. Heat map scale on the right side of the figure: dark blue, high positive correlation; white, no correlation; dark red, high negative correlation. (<b>A</b>) benign lesions; (<b>B</b>) premalignant lesions; (<b>C</b>) malignant lesions; (<b>D</b>) functional changes. Database with exact values of correlations and column legends included in the <a href="#app1-biomedicines-13-00511" class="html-app">Supplementary Materials (Supplementary Tables S1–S4</a>).</p>
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<p>Whole group. Correlations between CD index (on the Y axis) describing the compliance between cycle detection for the high-speed video (HSV) for different glottal widths and audio data (described in detail in the <a href="#sec2-biomedicines-13-00511" class="html-sec">Section 2</a>) and the values of the kymographic analysis parameters (on the X axis) showing whether the difference in the number of detected cycles is related to the variability in the values of the calculated parameters for the audio and video data. Correlation scale on the right side of the figure: dark blue, high positive correlation; white, no correlation; dark red, high negative correlation. (<b>A</b>) Jitter group and F0; (<b>B</b>) Shimmer group.</p>
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<p>Group of patients with ≥50 cycles for the analysis. Correlations between CD index (on the Y axis) describing the compliance between cycle detection for the high-speed video (HSV) for different glottal widths and audio data (described in detail in the <a href="#sec2-biomedicines-13-00511" class="html-sec">Section 2</a>) and the values of the kymographic analysis parameters (on the X axis) showing whether the difference in the number of detected cycles is related to the variability in the values of the calculated parameters for the audio and video data. Correlation scale on the right side of the figure: dark blue, high positive correlation; white, no correlation; dark red, high negative correlation. (<b>A</b>) Jitter group and F0; (<b>B</b>) Shimmer group.</p>
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20 pages, 1305 KiB  
Article
Teaching Communication and Functional Life Skills in Children Diagnosed with Autism Spectrum Disorder
by Juliana Ribeiro Rabelo Costa and Daniel Carvalho de Matos
Behav. Sci. 2025, 15(2), 198; https://doi.org/10.3390/bs15020198 - 12 Feb 2025
Viewed by 400
Abstract
Children with autism spectrum disorder (ASD) commonly show difficulty in communication and daily functional skills. The use of scripts may help establish these repertoires. Scripts may be visual (e.g., pictures depicting actions), textual (e.g., printed or written sentences depicting actions), or auditory (e.g., [...] Read more.
Children with autism spectrum disorder (ASD) commonly show difficulty in communication and daily functional skills. The use of scripts may help establish these repertoires. Scripts may be visual (e.g., pictures depicting actions), textual (e.g., printed or written sentences depicting actions), or auditory (e.g., recorded or dictated phrases depicting actions). Background/Objectives: The purpose was to assess the efficacy of script fading in establishing the vocal verbal emission of sentences under the control of pictures representing actions from four behavioral sequences (e.g., brushing teeth) in three children with ASD. The effects of the intervention on the emergence of related non-verbal repertoires were evaluated. During intervention, the scripts were textual for one participant, who initially read the sentences. For the remaining two participants, scripts were dictated to them so they could repeat them. Across sessions, scripts were faded out by gradually omitting the words from the sentences. Results: Script fading produced the emission of sentences solely in the presence of pictures (tacts according to a Skinnerian approach of language), replicating a previous study in which the same procedure also established the same type of repertoire. However, as an extension, in the current investigation, related non-verbal actions also emerged. Other previous studies into script fading were not specifically concerned with teaching tacts and probing the emergence of related non-verbal untaught repertoires. Conclusions: The data were interpreted as indicating correspondence between verbal and non-verbal behavior or “say-do” correspondence. The data were discussed in the sense that script fading, for some learners, may improve communication with sentences that impact the acquisition of related non-verbal behavioral chains. Limitations of the research were discussed. Full article
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<p>Correct responses in tact and non-verbal actions by P1. Note: Each of the four graphs above represent the performance of participant P1 concerning the emission of sentences with tact function and related non-verbal actions under the control of pictures from each of the behavioral sequences programmed (from first to last graph in <a href="#behavsci-15-00198-f001" class="html-fig">Figure 1</a>). Sequence data were organized in the following order from first to last graph: (1) cleaning up the hands, (2) putting on the mask and keeping it on the face, (3) functional play, and (4) brushing teeth. Different conditions were arranged throughout the sessions of each behavioral sequence. IP-TA—initial probe for tacts. IP-NVA—initial probe for non-verbal actions. BL-TA—baseline for tacts. TR-TA—tact training. First, P1 had to respond under the control of unfaded scripts (USs) until a learning criterion was achieved. Then, script fading was established in four or three fading steps (from F1 to F4 or F1 to F3, depending on the behavioral sequence). AP-NVA—additional probe for non-verbal actions. MA-TA—maintenance of tact training. FU-TA and FU-NVA mean follow up for tacts and non-verbal actions, respectively.</p>
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<p>Correct responses in tact and non-verbal actions by P2. Note: Each of the four graphs above represent the performance of participant P2 concerning the emission of sentences with tact function and related non-verbal actions under the control of pictures from each of the behavioral sequences programmed (from first to last graph in <a href="#behavsci-15-00198-f001" class="html-fig">Figure 1</a>). Sequence data were organized in the following order from first to last graph: (1) cleaning up the hands, (2) putting on the mask and keeping it on the face, (3) functional play, and (4) brushing teeth. Different conditions were arranged throughout the sessions of each behavioral sequence. IP-TA—initial probe for tacts. IP-NVA—initial probe for non-verbal actions. BL-TA—baseline for tacts. TR-TA—tact training. First, P2 had to respond under the control of unfaded scripts (USs) until a learning criterion was achieved. Then, script fading was established in four or three fading steps (from F1 to F4 or F1 to F3, depending on the behavioral sequence). AP-NVA—additional probe for non-verbal actions. MA-TA—maintenance of tact training. FU-TA and FU-NVA mean follow up for tacts and non-verbal actions, respectively.</p>
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<p>Correct responses in tact and non-verbal actions by P3. Note. Each of the four graphs above represent the performance of participant P3 concerning the emission of sentences with tact function and related non-verbal actions under the control of pictures from each of the behavioral sequences programmed (from first to last graph in <a href="#behavsci-15-00198-f001" class="html-fig">Figure 1</a>). Sequence data were organized in the following order from first to last graph: (1) cleaning up the hands, (2) putting on the mask and keeping it on the face, (3) functional play, and (4) brushing teeth. Different conditions were arranged throughout the sessions of each behavioral sequence. IP-TA—initial probe for tacts. IP-NVA—initial probe for non-verbal actions. BL-TA—baseline for tacts. TR-TA—tact training. First, P3 had to respond under the control of unfaded scripts (USs) until a learning criterion was achieved. Then, script fading was established in four or three fading steps (from F1 to F4 or F1 to F3, depending on the behavioral sequence). AP-NVA—additional probe for non-verbal actions. MA-TA—maintenance of tact training. FU-TA and FU-NVA mean follow up for tacts and non-verbal actions, respectively.</p>
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12 pages, 235 KiB  
Article
Thyroidectomy and Its Complications: A Comprehensive Analysis
by Ignazio Gerardi, Barbara Verro, Roberta Amodei, Pierina Richiusa and Carmelo Saraniti
Biomedicines 2025, 13(2), 433; https://doi.org/10.3390/biomedicines13020433 - 11 Feb 2025
Viewed by 386
Abstract
Background/Objectives: This study aims to assess the rate of complications in patients who underwent thyroid surgery and were monitored post-operatively to explore potential correlations between various parameters that may aid in clinical decision making. Methods: An observational retrospective study was conducted [...] Read more.
Background/Objectives: This study aims to assess the rate of complications in patients who underwent thyroid surgery and were monitored post-operatively to explore potential correlations between various parameters that may aid in clinical decision making. Methods: An observational retrospective study was conducted on patients who underwent thyroid surgery and were followed up in our Endocrinology Unit. Patients were selected based on strict criteria. The following data were collected: sex; age; type of thyroid disease; pre-operative symptoms due to thyroid pathology; surgical procedures; post-operative complications; histopathological diagnosis; and post-operative blood levels of TSH, PTH, vitamin D, and calcium. Results: Among 340 patients, 25.29% had benign thyroid disease. Total thyroidectomy was performed in 89.4% of cases. Recurrent laryngeal nerve injury was found in 32 patients. Hypocalcemia occurred in 14 patients within 24 h post-operatively. Histopathological examination identified incidental parathyroid tissue in 5.88% of thyroidectomy specimens. Post-operative hypoparathyroidism was observed in 26 patients, and vitamin D deficiency in 68 patients. Conclusions: The study demonstrated that thyroid surgery is quite a safe procedure; however, complications may occur. A statistically significant correlation was found between the type of surgery and the risk of vocal fold palsy, without correlation with the type of thyroid disease. A thorough pre-operative evaluation by a multidisciplinary team may help reduce the risk of post-operative complications. Despite the extensive knowledge of thyroid surgery, small refinements may further improve surgical outcomes. Full article
(This article belongs to the Special Issue Thyroid Nodule: Updates on the Molecular Mechanism and Diagnosis)
11 pages, 1006 KiB  
Article
Cross-Cultural Adaptation and Validation of the Malayalam Version of the Vocal Tract Discomfort Scale
by Sunil Kumar Ravi, Srushti Shabnam, Saraswathi Thupakula, Vijaya Kumar Narne, Krishna Yerraguntla, Abdulaziz Almudhi, Irfana Madathodiyil, Feby Sajan and Kochette Ria Jacob
Diagnostics 2025, 15(3), 259; https://doi.org/10.3390/diagnostics15030259 - 23 Jan 2025
Viewed by 459
Abstract
Background: Voice disorders significantly impact individuals’ physical, functional, and emotional well-being, necessitating comprehensive assessment tools. The Vocal Tract Discomfort Scale (VTDS) assesses the frequency and severity of vocal discomfort symptoms. Despite its global adaptations, no validated Malayalam version has existed. This study aimed [...] Read more.
Background: Voice disorders significantly impact individuals’ physical, functional, and emotional well-being, necessitating comprehensive assessment tools. The Vocal Tract Discomfort Scale (VTDS) assesses the frequency and severity of vocal discomfort symptoms. Despite its global adaptations, no validated Malayalam version has existed. This study aimed to adapt and validate the VTDS for Malayalam speakers (VTDS-M). Method: The study was conducted in two phases: Phase I involved translation and cultural adaptation of VTDS into Malayalam, followed by content validation by native-speaking speech language pathologists; Phase II involved validation of VTDS-M on 150 professional voice users, categorized into normophonic (n = 105) and dysphonic (n = 45) groups based on otolaryngological and perceptual voice evaluations. Participants completed VTDS-M and VHI-M (Voice Handicap Index—Malayalam). Results: The results showed strong internal consistency (Cronbach’s α = 0.827 for frequency, 0.813 for severity). Significant differences were observed between groups for VTDS-M subscales and total scores, confirming its discriminatory capability. ROC analysis established a cut-off score of 11.5, with an AROC of 0.749, 64.4% sensitivity, and 79.0% specificity. Also, VTDS-M correlated positively with VHI-M, especially the physical and emotional subscales. Conclusions: VTDS-M demonstrated reliable psychometric properties and diagnostic accuracy, making it a valuable tool for assessing vocal discomfort in Malayalam-speaking populations specifically among the professional voice users. Future studies should explore its applicability to non-professional voice users with varied severity levels of dysphonia. Full article
(This article belongs to the Special Issue Clinical Diagnosis of Otorhinolaryngology)
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<p>Mean scores of VTDS-M for normophonic and dysphonic groups.</p>
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<p>Results of ROC analysis for VTDS-M.</p>
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<p>Malayalam version of the VTDS.</p>
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12 pages, 837 KiB  
Article
Intensive Speech Therapy for Hypokinetic Dysarthria in Parkinson’s Disease: Targeting the Five Subsystems of Speech Production with Clinical and Instrumental Evaluation
by Annalisa Gison, Marco Ruggiero, Davide Tufarelli, Stefania Proietti, Daniela Moscariello and Marianna Valente
NeuroSci 2025, 6(1), 7; https://doi.org/10.3390/neurosci6010007 - 16 Jan 2025
Viewed by 737
Abstract
Background: Hypokinetic dysarthria is a speech disorder observed in almost 90% of PD patients that can appear at any stage of the disease, usually worsening as the disease progresses. Today, speech therapy intervention in PD is seen as a possible therapeutic option [...] Read more.
Background: Hypokinetic dysarthria is a speech disorder observed in almost 90% of PD patients that can appear at any stage of the disease, usually worsening as the disease progresses. Today, speech therapy intervention in PD is seen as a possible therapeutic option to alleviate and slow down the progression of symptoms. This study aims to investigate the validity of traditional speech therapy in dysarthria with the aim of improving the quality of life of PD patients, by comparing subjective clinical assessment with objective instrumental measures (IOPI and voice analysis). Methods: This is an observational study of 30 patients with hypokinetic dysarthria due to PD. The patients underwent speech therapy treatment with a frequency of three times per week for 12 consecutive weeks. Patients were evaluated at the time of enrollment (T0), at the start of treatment (T1), and at the end of the same (T2). Six months after the end of treatment (T3), a follow-up was performed based on disability and phonatory evaluation. Results: This study showed significant improvements (<0.001) from the start (T1) to the end of treatment (T2), with increases in the Barthel Index score, Robertson Dysarthria Profile, and IOPI measurements for tongue and lip strength, along with enhanced phonometer scores and tongue endurance. Correlations highlighted that tongue endurance decreased with age, CIRS, and MDS-UPDRS, while showing a positive association with MoCA scores. Conclusions: Significant improvements were observed in tongue and lip strength, phonatory duration, intensity, and vocal quality between pre- (T1) and post-treatment (T2). This study underscores the importance of early and continuous speech therapy treatment for comprehensive speech function enhancement. Full article
(This article belongs to the Special Issue Parkinson's Disease Research: Current Insights and Future Directions)
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<p>Study flow-chart.</p>
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<p>(<b>a</b>) Illustrates the use of the IOPI device. (<b>b</b>) Shows the sound level meter. (<b>c</b>) Displays the spectrogram obtained through voice analysis made by the PRAAT system.</p>
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14 pages, 539 KiB  
Article
Velopharyngeal Insufficiency and Impaired Tongue Movement Indicate Neuromuscular Disorders: A 10-Year Statistical Study in a Single Tertiary Institution
by Aiko Fujisaki, Rumi Ueha, Carmel Cotaoco, Misaki Koyama, Taku Sato, Takao Goto, Kenji Kondo and Tatsuya Yamasoba
J. Clin. Med. 2025, 14(2), 477; https://doi.org/10.3390/jcm14020477 - 13 Jan 2025
Viewed by 851
Abstract
Objectives: This study aimed to determine the positive predictive value of our NMD Suspicion Criteria in the diagnosis of NMDs. Other clinical factors routinely examined in our voice and swallowing examinations were also investigated to see if they had a significant association [...] Read more.
Objectives: This study aimed to determine the positive predictive value of our NMD Suspicion Criteria in the diagnosis of NMDs. Other clinical factors routinely examined in our voice and swallowing examinations were also investigated to see if they had a significant association with the diagnosis of NMDs. Methods: This study retrospectively investigated the medical charts of patients who visited our Voice and Swallowing outpatient clinic between 2013 and 2022. Patients with previously diagnosed NMDs were excluded from the analysis. Among the remaining patients, we included those that were referred to neurologists for further evaluation due to suspicion of having an NMD based on the NMD Suspicion Criteria. The patients were then divided into groups according to the status of their diagnosis within 2 years of referral as “diagnosed”, “denied”, or “observed”. These three groups of patients were then compared according to the following clinical findings; velopharyngeal insufficiency (VPI), tongue atrophy, impaired tongue movement, dysarthria, vocal fold mobility impairment, dysphagia, involuntary movement, gait disturbances, weight loss, and a sense of fatigue in order to see if they were significantly associated with the diagnosis of NMDs. Results: Of 3769 outpatients without a confirmed diagnosis of NMDs, 37 were referred to neurologists for suspected NMDs, and 19 (51%) were diagnosed with NMDs. VPI and impaired tongue movement were significant diagnostic factors for NMDs (p = 0.014, 0.033). VPI during speech (p = 0.045) was more strongly associated with the diagnosis of NMDs than VPI during swallowing (p = 0.076). Fatigue was a significant related factor for other diseases (non-NMDs) causing Voice and Swallowing problems (p = 0.049). Conclusions: In the outpatient clinic setting, suspicion of NMD should be raised, particularly when VPI and impaired tongue movement are observed, prompting a thorough assessment of velopharyngeal closure during both speech and swallowing. Full article
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<p>Flowchart of patient selection. n: number; IQR: interquartile range; NMDs: neuromuscular disorders.</p>
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13 pages, 1997 KiB  
Systematic Review
Optimal Timing and Treatment Modalities of Arytenoid Dislocation and Subluxation: A Meta-Analysis
by Andrea Frosolini, Valeria Caragli, Giulio Badin, Leonardo Franz, Patrizia Bartolotta, Andrea Lovato, Luca Vedovelli, Elisabetta Genovese, Cosimo de Filippis and Gino Marioni
Medicina 2025, 61(1), 92; https://doi.org/10.3390/medicina61010092 - 8 Jan 2025
Viewed by 784
Abstract
Background and Objective: Arytenoid dislocation (AD) and subluxation (AS) impact vocal fold mobility, potentially affecting the quality of life. Their management, including the timing and modality of treatment, remains a subject of research. Our primary objective was to assess and compare the [...] Read more.
Background and Objective: Arytenoid dislocation (AD) and subluxation (AS) impact vocal fold mobility, potentially affecting the quality of life. Their management, including the timing and modality of treatment, remains a subject of research. Our primary objective was to assess and compare the available treatment strategies for AS and AD. Material and methods: the protocol was registered on PROSPERO (CRD42023407521). Manuscripts retrieved from a previously published systematic review were evaluated. To comprehensively cover the last 25 years, an updated literature search was conducted, screening PubMed, Scopus, and Cochrane databases. Review Methods: We included studies that reported treatment modalities and the time to treatment (TT) for AS/AD, with outcomes objectively evaluated. Data on treatment success were pooled, and the impact of TT on recovery outcomes was analyzed. Results: Thirteen studies involving 361 patients were included. The majority of cases were attributed to iatrogenic trauma following intubation. Closed reduction (CR) was the primary treatment, with high success rates for both general (success rate: 77%, CI: 62–87%) and local anesthesia (success rate: 89%, CI: 70–97%). The standardized mean difference for the TT effect on treatment outcome was −1.24 (CI: −2.20 to −0.29). Conclusions: The absence of randomized controlled trials and the overall moderate-to-low quality of the studies highlighted the importance of the finding’s careful interpretation. This meta-analysis underscores the effectiveness of CR in managing AS/AD, with both general and local anesthesia yielding high success rates. The findings highlight the importance of TT, suggesting that early intervention is paramount. Future clinical research is needed to further refine these findings and optimize treatment protocols. Full article
(This article belongs to the Special Issue Update on Otorhinolaryngologic Diseases (2nd Edition))
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<p>PRISMA diagram from identification to inclusion.</p>
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<p>Forest plot showing pooled outcomes of closed reduction under general anesthesia [<a href="#B14-medicina-61-00092" class="html-bibr">14</a>,<a href="#B15-medicina-61-00092" class="html-bibr">15</a>,<a href="#B16-medicina-61-00092" class="html-bibr">16</a>,<a href="#B17-medicina-61-00092" class="html-bibr">17</a>,<a href="#B24-medicina-61-00092" class="html-bibr">24</a>,<a href="#B27-medicina-61-00092" class="html-bibr">27</a>,<a href="#B28-medicina-61-00092" class="html-bibr">28</a>].</p>
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<p>Forest plot showing pooled outcomes of closed reduction under local anesthesia [<a href="#B11-medicina-61-00092" class="html-bibr">11</a>,<a href="#B12-medicina-61-00092" class="html-bibr">12</a>,<a href="#B20-medicina-61-00092" class="html-bibr">20</a>,<a href="#B22-medicina-61-00092" class="html-bibr">22</a>,<a href="#B25-medicina-61-00092" class="html-bibr">25</a>,<a href="#B26-medicina-61-00092" class="html-bibr">26</a>].</p>
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<p>Forest plot showing pooled outcomes of effects of TT on the efficacy of closed reduction [<a href="#B11-medicina-61-00092" class="html-bibr">11</a>,<a href="#B14-medicina-61-00092" class="html-bibr">14</a>,<a href="#B20-medicina-61-00092" class="html-bibr">20</a>,<a href="#B24-medicina-61-00092" class="html-bibr">24</a>].</p>
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16 pages, 922 KiB  
Article
Attention-Based PSO-LSTM for Emotion Estimation Using EEG
by Hayato Oka, Keiko Ono and Adamidis Panagiotis
Sensors 2024, 24(24), 8174; https://doi.org/10.3390/s24248174 - 21 Dec 2024
Viewed by 903
Abstract
Recent advances in emotion recognition through Artificial Intelligence (AI) have demonstrated potential applications in various fields (e.g., healthcare, advertising, and driving technology), with electroencephalogram (EEG)-based approaches demonstrating superior accuracy compared to facial or vocal methods due to their resistance to intentional manipulation. This [...] Read more.
Recent advances in emotion recognition through Artificial Intelligence (AI) have demonstrated potential applications in various fields (e.g., healthcare, advertising, and driving technology), with electroencephalogram (EEG)-based approaches demonstrating superior accuracy compared to facial or vocal methods due to their resistance to intentional manipulation. This study presents a novel approach to enhance EEG-based emotion estimation accuracy by emphasizing temporal features and efficient parameter space exploration. We propose a model combining Long Short-Term Memory (LSTM) with an attention mechanism to highlight temporal features in EEG data while optimizing LSTM parameters through Particle Swarm Optimization (PSO). The attention mechanism assigned weights to LSTM hidden states, and PSO dynamically optimizes the vital parameters, including units, batch size, and dropout rate. Using the DEAP and SEED datasets, which serve as benchmark datasets for emotion estimation research using EEG, we evaluate the model’s performance. For the DEAP dataset, we conduct a four-class classification of combinations of high and low valence and arousal states. We perform a three-class classification of negative, neutral, and positive emotions for the SEED dataset. The proposed model achieves an accuracy of 0.9409 on the DEAP dataset, surpassing the previous state-of-the-art accuracy of 0.9100 reported by Lin et al. The model attains an accuracy of 0.9732 on the SEED dataset, recording one of the highest accuracies among the related research. These results demonstrate that integrating the attention mechanism with PSO significantly improves the accuracy of EEG-based emotion estimation, contributing to the advancement of emotion recognition technology. Full article
(This article belongs to the Section Biomedical Sensors)
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<p>Internal LSTM structure illustrating the flow of hidden and cell states.</p>
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<p>Russell’s circumplex model.</p>
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<p>Attention-based PSO-LSTM.</p>
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<p>Confusion matrix of all 32 subjects on the DEAP dataset (The color intensity in the figure corresponds to the magnitude of the values, with larger numbers represented by darker shades of blue).</p>
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<p>Loss curve of the PSO for Subject 1.</p>
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<p>Loss curve of the PSO for Subject 17.</p>
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<p>Box-and-whisker diagram for hyperparameters of all 32 subjects on the DEAP dataset.</p>
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21 pages, 6448 KiB  
Article
Voice Analysis in Dogs with Deep Learning: Development of a Fully Automatic Voice Analysis System for Bioacoustics Studies
by Mahmut Karaaslan, Bahaeddin Turkoglu, Ersin Kaya and Tunc Asuroglu
Sensors 2024, 24(24), 7978; https://doi.org/10.3390/s24247978 - 13 Dec 2024
Viewed by 1031
Abstract
Extracting behavioral information from animal sounds has long been a focus of research in bioacoustics, as sound-derived data are crucial for understanding animal behavior and environmental interactions. Traditional methods, which involve manual review of extensive recordings, pose significant challenges. This study proposes an [...] Read more.
Extracting behavioral information from animal sounds has long been a focus of research in bioacoustics, as sound-derived data are crucial for understanding animal behavior and environmental interactions. Traditional methods, which involve manual review of extensive recordings, pose significant challenges. This study proposes an automated system for detecting and classifying animal vocalizations, enhancing efficiency in behavior analysis. The system uses a preprocessing step to segment relevant sound regions from audio recordings, followed by feature extraction using Short-Time Fourier Transform (STFT), Mel-frequency cepstral coefficients (MFCCs), and linear-frequency cepstral coefficients (LFCCs). These features are input into convolutional neural network (CNN) classifiers to evaluate performance. Experimental results demonstrate the effectiveness of different CNN models and feature extraction methods, with AlexNet, DenseNet, EfficientNet, ResNet50, and ResNet152 being evaluated. The system achieves high accuracy in classifying vocal behaviors, such as barking and howling in dogs, providing a robust tool for behavioral analysis. The study highlights the importance of automated systems in bioacoustics research and suggests future improvements using deep learning-based methods for enhanced classification performance. Full article
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<p>Sound segmentation process.</p>
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<p>Fourier transform on audio data.</p>
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<p>STFT conversion general system diagram [<a href="#B36-sensors-24-07978" class="html-bibr">36</a>].</p>
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<p>Triangle bandpass Mel filter bank.</p>
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<p>Mel-spectrogram output.</p>
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<p>Sample MFCC output of the dataset.</p>
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<p>LFCC spectrogram.</p>
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<p>Block diagram of the speech recognition system [<a href="#B37-sensors-24-07978" class="html-bibr">37</a>,<a href="#B42-sensors-24-07978" class="html-bibr">42</a>].</p>
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<p>System design for Real-Time problems with different sounds.</p>
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<p>System design for offline and isolated environments.</p>
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<p>Fully automatic sound classification system.</p>
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<p>Sound classification system output.</p>
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10 pages, 999 KiB  
Article
Vocal Outcome Following Thyroidectomy for Differentiated Thyroid Carcinoma
by Maria Silvia Rosa, Valeria Dell’Era, Massimo Campagnoli, Silvia Campini, Ottavia Barozza, Giovanni Borello, Massimiliano Garzaro and Paolo Aluffi Valletti
J. Clin. Med. 2024, 13(24), 7576; https://doi.org/10.3390/jcm13247576 - 12 Dec 2024
Viewed by 786
Abstract
Background: Voice alteration is a recognized complication of thyroid surgery, impacting the quality of life and communication for affected individuals. In this prospective observational study, the Acoustic Voice Quality Index (AVQI) was employed to assess vocal outcomes after thyroidectomy. Method: Between February 2018 [...] Read more.
Background: Voice alteration is a recognized complication of thyroid surgery, impacting the quality of life and communication for affected individuals. In this prospective observational study, the Acoustic Voice Quality Index (AVQI) was employed to assess vocal outcomes after thyroidectomy. Method: Between February 2018 and August 2022, 224 patients underwent Thyroid surgery in our department, of which 74 with differentiated thyroid carcinoma (DTC) were enrolled in accordance with the inclusion criteria. Endoscopic findings and AVQI scores were evaluated before and after surgery (voice analysis was conducted using the Praat software program version 6.0.33). Results: Vocal fold impairment was present in 6.76% of patients after surgery (T1), with full recovery within 3 months. During preadmission evaluation, an AVQI score > 2.35 indicating hoarseness was present in 37 patients (despite normal vocal cord motility). Of these, 25 (67.57%), 26 (70.27%), and 24 (17.76%) maintained this trend at T1, T2, and T3, respectively. No significant variation in mean AVQI values was observed based on gender, age, and central neck dissection. Conclusion: AVQI values did not show significant variations comparing pre- and postoperative values. Thyroid surgery for DTC performed by experienced surgeons does not seem to impact significantly on patients’ voice quality. Full article
(This article belongs to the Section Endocrinology & Metabolism)
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<p>Mean AVQI values at T0, T1, T2, and T3 in the general population.</p>
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<p>AVQI values at T0, T1, T2, and T3 by gender.</p>
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<p>AVQI values at T0, T1, T2, and T3 by age.</p>
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<p>AVQI values at T0, T1, T2, and T3 by central compartment neck dissection.</p>
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14 pages, 300 KiB  
Article
Evaluating the Inclusion of Vocal Training in Spain’s Teacher Education: A Quantitative Analysis
by Saray Prados-Bravo, Diego González-Rodríguez and Agustín Rodríguez-Esteban
Educ. Sci. 2024, 14(12), 1358; https://doi.org/10.3390/educsci14121358 - 12 Dec 2024
Viewed by 653
Abstract
The curricula of bachelor’s and master’s degrees in education should provide optimal tools for teaching practice. An analysis of these curricula in Spanish universities reveals a lack of vocal training. The aim of the present study is to determine whether vocal training in [...] Read more.
The curricula of bachelor’s and master’s degrees in education should provide optimal tools for teaching practice. An analysis of these curricula in Spanish universities reveals a lack of vocal training. The aim of the present study is to determine whether vocal training in these courses leads to greater knowledge of vocal patterns and techniques, which could lead to greater satisfaction and a lower tendency to abandon the profession. A descriptive–comparative and predictive quantitative study was carried out using an ex post facto, non-experimental, cross-sectional design. The sample consisted of 519 pre-school, primary, and secondary school teachers from all over Spain. The results have confirmed that there is a correlation between having received initial training in vocal hygiene and singing and a tendency to take additional courses in these areas. Furthermore, there is evidence that women and teachers with vocal disorders of the type studied are more aware of voice care in their profession. Finally, a lack of correlation was observed between the training received and the degree of knowledge about vocal health and hygiene. This suggests that both the quantity and quality of training in this area should be increased. Full article
14 pages, 2353 KiB  
Article
Sensitivity of Acoustic Voice Quality Measures in Simulated Reverberation Conditions
by Ahmed M. Yousef and Eric J. Hunter
Bioengineering 2024, 11(12), 1253; https://doi.org/10.3390/bioengineering11121253 - 11 Dec 2024
Viewed by 728
Abstract
Room reverberation can affect oral/aural communication and is especially critical in computer analysis of voice. High levels of reverberation can distort voice recordings, impacting the accuracy of quantifying voice production quality and vocal health evaluations. This study quantifies the impact of additive simulated [...] Read more.
Room reverberation can affect oral/aural communication and is especially critical in computer analysis of voice. High levels of reverberation can distort voice recordings, impacting the accuracy of quantifying voice production quality and vocal health evaluations. This study quantifies the impact of additive simulated reverberation on otherwise clean voice recordings as reflected in voice metrics commonly used for voice quality evaluation. From a larger database of voice recordings collected in a low-noise, low-reverberation environment, voice samples of a sustained [a:] vowel produced at two different speaker intents (comfortable and clear) by five healthy voice college-age female native English speakers were used. Using the reverb effect in Audacity, eight reverberation situations indicating a range of reverberation times (T20 between 0.004 and 1.82 s) were simulated and convolved with the original recordings. All voice samples, both original and reverberation-affected, were analyzed using freely available PRAAT software (version 6.0.13) to calculate five common voice parameters: jitter, shimmer, harmonic-to-noise ratio (HNR), alpha ratio, and smoothed cepstral peak prominence (CPPs). Statistical analyses assessed the sensitivity and variations in voice metrics to a range of simulated room reverberation conditions. Results showed that jitter, HNR, and alpha ratio were stable at simulated reverberation times below T20 of 1 s, with HNR and jitter more stable in the clear vocal style. Shimmer was highly sensitive even at T20 of 0.53 s, which would reflect a common room, while CPPs remained stable across all simulated reverberation conditions. Understanding the sensitivity and stability of these voice metrics to a range of room acoustics effects allows for targeted use of certain metrics even in less controlled environments, enabling selective application of stable measures like CPPs and cautious interpretation of shimmer, ensuring more reliable and accurate voice assessments. Full article
(This article belongs to the Special Issue Models and Analysis of Vocal Emissions for Biomedical Applications)
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<p>Examples of the computed reverberation time (T20) for four of the simulated room conditions across different octave band frequencies. Minimal Reverb represents a simulated anechoic chamber, while Low, Medium, and High Reverb correspond to simulated rooms with increasing levels of reverberation intensity.</p>
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<p>The mean and standard deviation of the absolute percent change in jitter as a function of simulated reverberation time T20 for comfortable (<b>left</b>) and clear (<b>right</b>) sustained vowel [a:] production. The red dashed line indicates the linear regression fit.</p>
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<p>The mean and standard deviation of the absolute percent change in shimmer as a function of simulated reverberation time T20 for comfortable (<b>left</b>) and clear (<b>right</b>) sustained vowel [a:] production. The red dashed line indicates the linear regression fit.</p>
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<p>The mean and standard deviation of the absolute percent change in harmonic-to-noise ratio (HNR) as a function of simulated reverberation time T20 for comfortable (<b>left</b>) and clear (<b>right</b>) sustained vowel [a:] production. The red dashed line indicates the linear regression fit.</p>
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<p>The mean and standard deviation of the absolute percent change in alpha ratio as a function of simulated reverberation time T20 for comfortable (<b>left</b>) and clear (<b>right</b>) sustained vowel [a:] production. The red dashed line indicates the linear regression fit.</p>
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<p>The mean and standard deviation of the absolute percent change in smoothed cepstral peak prominence (CPPs) as a function of simulated reverberation time T20 for comfortable (<b>left</b>) and clear (<b>right</b>) sustained vowel [a:] production. The red dashed line indicates the linear regression fit.</p>
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9 pages, 1459 KiB  
Article
The Modulation of Fibrosis in Vocal Fold Repair: A Study on c-Met Agonistic Antibodies and Hepatocyte Growth in Animal Studies
by Hyun-Il Shin, Hyunsu Choi, Jae-Kyun Jung and Choung-Soo Kim
Medicina 2024, 60(12), 2033; https://doi.org/10.3390/medicina60122033 - 10 Dec 2024
Viewed by 938
Abstract
Background and Objectives: Damage to the vocal folds frequently results in fibrosis, which can degrade vocal quality due to the buildup of collagen and modifications in the extracellular matrix (ECM). Conventional treatments have shown limited success in reversing fibrotic changes. Hepatocyte growth [...] Read more.
Background and Objectives: Damage to the vocal folds frequently results in fibrosis, which can degrade vocal quality due to the buildup of collagen and modifications in the extracellular matrix (ECM). Conventional treatments have shown limited success in reversing fibrotic changes. Hepatocyte growth factor (HGF) and c-Met-targeting antibodies are promising due to their potential to inhibit fibrosis and promote regeneration. This research examines the effectiveness of injections containing c-Met agonistic antibodies relative to HGF in reducing fibrosis within a rat model of vocal fold injury. Materials and Methods: Forty-five Sprague Dawley rats were divided into three groups, which were HGF, c-Met agonistic antibody, and the control (PBS). The right vocal folds were injured and treated with HGF or c-Met agonistic antibody injections. RNA isolation and quantitative real-time PCR were performed to assess mRNA levels of fibrosis-related markers at 1 and 2 weeks post-injury. Histopathological analysis was conducted at 3 weeks to evaluate collagen and hyaluronic acid (HA) deposition. Results: Both the HGF and c-Met groups demonstrated reduced type III collagen mRNA expression compared to the PBS group. The c-Met group uniquely maintained fibronectin levels closer to normal. Additionally, the c-Met group showed significantly upregulated expression of hyaluronan synthase (HAS) 1 and HAS 3 at 2 weeks post-injury, indicating enhanced HA synthesis. Histological analysis showed significantly lower collagen deposition and higher HA in the c-Met group than in PBS, confirming superior anti-fibrotic effects and ECM restoration. Conclusions: c-Met agonistic antibody injections outperformed HGF in reducing fibrosis, upregulating HAS expression, and promoting HA deposition in injured vocal folds, highlighting its potential as a superior therapeutic approach for preventing fibrosis and enhancing ECM quality in vocal fold injuries. Further research on functional outcomes in larger models is recommended to validate these findings. Full article
(This article belongs to the Special Issue Update on Otorhinolaryngologic Diseases (2nd Edition))
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<p>mRNA expression ratios of genes related to vocal fold tissue regeneration in the normal, PBS, and c-Met Ab groups on post-injury day 7. * <span class="html-italic">p</span> &lt; 0.05 vs. Nor (normal), # <span class="html-italic">p</span> &lt; 0.05 vs. PBS, <span class="html-italic">p</span> &lt; 0.05 vs. HGF. (<b>A</b>–<b>C</b>) Expression levels of HAS1, HAS2, and HAS3 mRNA, respectively. (<b>D</b>) mRNA expression of COL III. (<b>E</b>) mRNA expression of FN. (<b>F</b>) mRNA expression of MMP2. Normal (Nor) tissues were compared to injured tissues treated with phosphate-buffered saline (PBS), hepatocyte growth factor (HGF), or c-Met agonistic antibody (c-Met Ab).</p>
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<p>mRNA expression ratios of genes related to vocal fold tissue regeneration in the normal, PBS, and c-Met Ab groups on post-injury day 14. * <span class="html-italic">p</span> &lt; 0.05 vs. Nor (normal), # <span class="html-italic">p</span> &lt; 0.05 vs. PBS, <span class="html-italic">p</span> &lt; 0.05 vs. HGF. (<b>A</b>–<b>C</b>) Expression levels of HAS1, HAS2, and HAS3 mRNA, respectively. (<b>D</b>) mRNA expression of COL III. (<b>E</b>) mRNA expression of FN. (<b>F</b>) mRNA expression of MMP2. Normal (Nor) tissues were compared to injured tissues treated with phosphate-buffered saline (PBS), hepatocyte growth factor (HGF), or c-Met agonistic antibody (c-Met Ab).</p>
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<p>Representative images of stained vocal fold tissues at 3 weeks post-injury: hematoxylin and eosin staining (<b>A</b>–<b>D</b>), Masson’s trichrome staining for collagen (<b>E</b>–<b>H</b>), and alcian blue staining for hyaluronic acid (<b>I</b>–<b>L</b>) from the normal (Nor), PBS, HGF, and c-Met Ab groups. Scale bars = 50 µm. Quantitative analysis of collagen deposition (blue-stained collagen) (<b>M</b>) and alcian blue-positive area (blue-colored hyaluronic acids) (<b>N</b>) are shown. Original magnification: 200×; * <span class="html-italic">p</span> &lt; 0.05 compared to Nor (normal), # <span class="html-italic">p</span> &lt; 0.05 compared to PBS, and <span class="html-italic">p</span> &lt; 0.05 compared to HGF.</p>
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13 pages, 573 KiB  
Article
Oncological and Functional Outcomes After Type III Cordectomy for Early Glottic Cancer (Tis, T1a): A Retrospective Study Based on Our 10-Year Experience
by Eleonora Lovati, Elisabetta Genovese, Livio Presutti, Marco Trebbi, Luca Pingani, Gian Maria Galeazzi, Maria Pia Luppi, Matteo Alicandri-Ciufelli, Daniele Marchioni and Maria Consolazione Guarnaccia
J. Clin. Med. 2024, 13(23), 7164; https://doi.org/10.3390/jcm13237164 - 26 Nov 2024
Viewed by 596
Abstract
Background: The recommended treatment for early glottic cancer is trans-oral laser microsurgery, with excellent oncological and functional outcomes. The aim of this study is to evaluate oncological and functional outcomes in patients who underwent monolateral type III laser cordectomy for early glottic cancer. [...] Read more.
Background: The recommended treatment for early glottic cancer is trans-oral laser microsurgery, with excellent oncological and functional outcomes. The aim of this study is to evaluate oncological and functional outcomes in patients who underwent monolateral type III laser cordectomy for early glottic cancer. Methods: A total of 104 patients were enrolled. Staging, histological type, grading, assessment of surgical margins, mean time of relapse, OS, DFS, and DSS were obtained. Maximum phonation time, GIRBAS score, shimmer, jitter, fundamental frequency, and Yanagihara score were evaluated. Patients were submitted to the VHI-10 questionnaire. Results: Correlations between patients with single recurrence and the anterior commissure involvement were analyzed, as well as correlations between patients with recurrence and the status of margins. Correlations between VHI-10 scores and anterior commissure involvement were analyzed. Conclusions: The recurrence rate was higher in patients with anterior commissure involvement. A significant inversely proportional association between DSS and assessment of surgical margins was observed. The distribution of VHI-10 scores differed significatively in patients with and without anterior commissure involvement. Vocal results reflected mild dysphonia. Full article
(This article belongs to the Section Otolaryngology)
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<p>Differences in distribution of patients with a single recurrence and the distribution of patients who underwent extended resection to anterior commissure.</p>
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<p>Mean values of GIRBAS parameters.</p>
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27 pages, 6803 KiB  
Article
Longitudinal Effect of Music Exposure on Hearing Among Vocal Performance Students
by Rachel L. Lowrance, Charles J. Nudelman, Yvonne Gonzales Redman and Pasquale Bottalico
Acoustics 2024, 6(4), 1047-1073; https://doi.org/10.3390/acoustics6040057 - 25 Nov 2024
Viewed by 1508
Abstract
The effects of music exposure on vocal performers remain relatively unknown. This study aimed to assess the immediate and long-term effects of music and singing practice on the peripheral auditory system of vocal performers using otoscopy, pure-tone audiometry, and noise dosimetry. The hearing [...] Read more.
The effects of music exposure on vocal performers remain relatively unknown. This study aimed to assess the immediate and long-term effects of music and singing practice on the peripheral auditory system of vocal performers using otoscopy, pure-tone audiometry, and noise dosimetry. The hearing status, sound pressure levels (SPLs), and sound doses of 12 vocal performers with normal hearing at the study’s onset were evaluated. Pre- and post-study questionnaires regarding the participants’ otologic health and music-making activities, as well as repeated hearing evaluations, were implemented. Additionally, noise dosimetry was conducted on each participant’s most vocally active day of the week. Audiometric assessments generally revealed normal hearing thresholds, with some exceptions. Half of the participants exhibited elevated low-frequency thresholds and over half of the participants displayed emerging audiometric “notches” at 6000 Hz. Noise dosimetry measurements indicated that most of the participants were consistently exposed to SPLs during music-making activities that exceeded recommended limits. Questionnaire responses highlighted that the participants often engaged in extra-curricular music-making activities, frequently with piano accompaniment, and with little to no use of hearing protection devices. A few of the participants reported histories of otologic issues and potential hearing problems. Full article
(This article belongs to the Special Issue Vibration and Noise (2nd Edition))
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<p>Histograms of the time history of instantaneous SPLs per participant for Spring 2023. The three curves represent the three main sound sources/activities identified by the Gaussian mixture model.</p>
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<p>Mean background noise, speech/choir, and singing per participant for Fall 2021. The orange-white striped bins represent choir activity, while the solid orange bins represent speech levels.</p>
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<p>Mean background noise, speech/choir, and singing per participant for Spring 2022. The orange-white striped bins represent choir activity, while the solid orange bins represent speech levels.</p>
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<p>Mean background noise, speech/choir, and singing per participant for Fall 2022. The orange-white striped bins represent choir activity, while the solid orange bins represent speech levels.</p>
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<p>Mean background noise, speech/choir, and singing per participant for Spring 2023.</p>
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<p>Equivalent levels (<span class="html-italic">Leq</span>) and maximum duration of exposure per participant for Fall 2021.</p>
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<p>Equivalent levels (<span class="html-italic">Leq</span>) and maximum duration of exposure per participant for Spring 2022. The dashed lines indicate the NIOSH recommended exposure limit of 85 dBA and 8 working hours.</p>
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<p>Equivalent levels (<span class="html-italic">Leq</span>) and maximum duration of exposure per participant for Fall 2022. The dashed lines indicate the NIOSH recommended exposure limit of 85 dBA and 8 working hours.</p>
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<p>Equivalent levels (<span class="html-italic">Leq</span>) and maximum duration of exposure per participant for Spring 2023. The dashed lines indicate the NIOSH recommended exposure limit of 85 dBA and 8 working hours.</p>
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<p>Yearly audiograms for Participant 1.</p>
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<p>Yearly audiograms for Participant 2.</p>
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<p>Yearly audiograms for Participant 3.</p>
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<p>Yearly audiograms for Participant 4.</p>
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<p>Yearly audiograms for Participant 5.</p>
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<p>Yearly audiograms for Participant 6.</p>
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<p>Yearly audiograms for Participant 7.</p>
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<p>Yearly audiograms for Participant 8.</p>
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<p>Yearly audiograms for Participant 9.</p>
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<p>Yearly audiograms for Participant 10.</p>
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<p>Yearly audiograms for Participant 11.</p>
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<p>Yearly audiograms for Participant 12.</p>
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