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Article Synopsis
  • This study explored whether the Fazekas score could explain differences in cochlear implantation (CI) outcomes in individuals with DFNA9, examining MRI scans for signal loss in semicircular canals (SCCs).
  • It included 45 subjects and found a significant improvement in phoneme scores after one year of CI, but no correlation between the Fazekas score and these outcomes.
  • The research highlighted a high prevalence of signal loss in SCCs and indicated a need for further studies to understand the Fazekas score's predictive value regarding CI outcomes and vestibular function.
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Article Synopsis
  • The field of vestibular science has significantly advanced in the last 50 years, focusing on the vestibular system and related disorders, with key areas including epidemiology, pathologies, diagnostic methods, and treatments.
  • An analysis of over 39,000 publications from the NCBI PubMed database revealed increasing research trends, notably on conditions like BPPV, Meniere's disease, and a surge in studies about vestibular migraine.
  • Common diagnostic tools identified were ENG/VNG and VEMP, with physiotherapy emerging as the main treatment, showcasing the dynamic evolution of research in this field.
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Assessing long-term, vestibulotoxic side effects after gentamicin therapy in neonatal sepsis or infection using video head impulse test.

Front Pediatr

February 2024

Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.

Article Synopsis
  • - The study focuses on the effects of gentamicin therapy, a common treatment for newborn infections, highlighting its known side effect of vestibulotoxicity, which can be assessed using the video head impulse test (VHIT).
  • - It involved 23 children aged 3-7, who had previously received gentamicin as infants; nearly 48% showed abnormal VHIT results, indicating potential vestibular issues despite lacking clinical symptoms.
  • - The findings suggest that VHIT is an effective tool for early detection of vestibular dysfunction in children post-gentamicin treatment, raising awareness about the potential long-term impacts of the medication.
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Article Synopsis
  • * Both linear and nonlinear analyses were used to assess the regularity and complexity of the ENG data, revealing significant differences between COVID-19 and non-COVID-19 groups.
  • * Various machine learning techniques were applied for classification, with the Support Vector Machines (SVM) achieving the highest accuracy, precision, and false classification rates, indicating a novel method for diagnosing COVID-19 using ENG signals.
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