Objective: Laryngoplasty requires the manipulation of the vocal folds, which are not visible during the operation. The widespread use of this technique is limited by the need for adequate knowledge of anatomy, the small surgical field, and the high level of skill required for the procedure. An exoscope has been developed to provide a stereoscopic view similar to that of a microscope while using the same compact endoscopic tool. This study aimed to determine whether the three-dimensional (3D) exoscopic surgical technique could be applied to laryngoplasty and explore its possibility to ultimately replace the current approach.
Methods: This was a retrospective case series analysis, which included 28 patients with hoarseness who underwent surgery with (Exoscope; n = 12) or without (Macrosurgery; n = 16) a 3D exoscope between July 2018 and February 2021. The feasibility of performing all surgical steps with the 3D exoscope was evaluated. The Exoscope and Macrosurgery groups were compared for surgical time, vocal function outcomes, and complications. Questionnaires were completed by medical staff regarding the usefulness of medical education.
Results: No intraoperative or postoperative complications occurred in either procedure. The operative time was similar in both groups. The vocal function outcomes were also comparable between the groups. Questionnaires revealed that the exoscope was useful in terms of sharing information on surgical procedures and anatomy, as well as functioning as an educational tool.
Conclusion: While this was a preliminary study, our results indicated that the exclusive use of the 3D exoscope was feasible for open approaches.
Level Of Evidence: 4 Laryngoscope, 134:1813-1819, 2024.
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http://dx.doi.org/10.1002/lary.31086 | DOI Listing |
Biol Sex Differ
January 2025
Department of Psychology, Memorial University of Newfoundland and Labrador, St. John's NL, Canada.
As the earliest measure of social communication in rodents, ultrasonic vocalizations (USVs) in response to maternal separation are critical in preclinical research on neurodevelopmental disorders (NDDs). While sex differences in both USV production and behavioral outcomes are reported, many studies overlook sex as a biological variable in preclinical NDD models. We aimed to evaluate sex differences in USV call parameters and determine if USVs are differently impacted based on sex in the preclinical maternal immune activation (MIA) model.
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January 2025
School of Computer Science and Informatics, Cardiff University, Cardiff CF24 3AA, UK.
Elephant sound identification is crucial in wildlife conservation and ecological research. The identification of elephant vocalizations provides insights into the behavior, social dynamics, and emotional expressions, leading to elephant conservation. This study addresses elephant sound classification utilizing raw audio processing.
View Article and Find Full Text PDFLife (Basel)
December 2024
Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Harvard Medical School, 1575 Cambridge Street, Cambridge, MA 02115, USA.
Background: This study aimed to explore the potential associations between voice metrics of patients with PD and their motor symptoms.
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Sci Rep
January 2025
Department of Ethology, Eötvös Loránd University, Budapest, Hungary.
Dogs engage in social interactions with robots, yet whether they perceive them as social agents remains uncertain. In jealousy-evoking contexts, specific behaviours were observed exclusively when dogs' owners interacted with social, rather than non-social rivals. Here, we investigated whether a robot elicits jealous behaviour in dogs based on its level of animateness.
View Article and Find Full Text PDFPLoS One
January 2025
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, RP China.
This study develops an innovative method for analyzing and clustering tonal trends in Chinese Yue Opera to identify different vocal styles accurately. Linear interpolation is applied to process the time series data of vocal melodies, addressing inconsistent feature dimensions. The second-order difference method extracts tonal trend features.
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