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Subglottic stenosis after double-lumen tube (DLT) intubation is more likely to occur when an oversized DLT, specifically a 35 Fr DLT, is used in older, shorter women. Reintubation in such cases is challenging and may cause additional traumatic laryngitis. Tracheostomy is the best management for subglottic stenosis after DLT intubation.
View Article and Find Full Text PDFUnlabelled: Children post-tracheoesophageal fistula (TEF) repair may present with chronic respiratory and gastrointestinal symptoms that can affect quality of life.
Objective: To identify factors associated with positive findings on triple endoscopy following neonatal TEF repair.
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Interaction effects in laryngeal and respiratory control of the voice source and vocal fold contact pressure.
J Acoust Soc Am
December 2024
Department of Head and Neck Surgery, University of California Los Angeles, Los Angeles, California 90095-1794, USA.
Previous studies of laryngeal and respiratory control of the voice source often focus on main effects of individual control parameters but not their interactions. The goal of this study is to systematically identify important interaction effects in laryngeal and respiratory control of the voice source and vocal fold contact pressure in a three-dimensional voice production model. Computational simulations were performed with parametric variations in vocal fold geometry, stiffness, prephonatory glottal gap, and subglottal pressure.
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December 2024
Institute of Emergency and Critical Care Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.
Background: Pediatric airway diseases are associated with complex challenges because of smaller and more dynamic airway structures in children. These conditions, along with specialized management by medical care staff, should be immediately and precisely recognized to prevent life-threatening obstructions and long-term respiratory complications. Recently, virtual reality (VR) has emerged as an innovative approach to clinical medical education.
View Article and Find Full Text PDFMachine learning in personalized laryngeal cancer management: insights into clinical characteristics, therapeutic options, and survival predictions.
Eur Arch Otorhinolaryngol
December 2024
King Hussein Cancer Center, Medical Oncology Department, Amman, Jordan.
Purpose: Over the last 40 years, there has been an unusual trend where, even though there are more varied treatments, survival rates have not improved much. Our study used survival analysis and machine learning (ML) to investigate this odd situation and to improve prediction methods for treating non-metastatic LSCC.
Methods: The surveillance, epidemiology and end results (SEER) database provided the data used for this study's analysis.
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