This plain language summary for patients serves as an overview in explaining hoarseness (dysphonia). The summary applies to patients in all age groups and is based on the 2018 "Clinical Practice Guideline: Hoarseness (Dysphonia) (Update)." The evidence-based guideline includes research to support more effective identification and management of patients with hoarseness (dysphonia). The primary purpose of the guideline is to improve the quality of care for patients with hoarseness (dysphonia) based on current best evidence.
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Insights into laryngeal Castleman disease: A comprehensive scoping review with a case study focus.
Laryngoscope Investig Otolaryngol
February 2025
Introduction: Castleman disease (CD) refers to a heterogeneous group of lymphoproliferative disorders, which rarely involves the larynx. Our goal in this study is to elucidate the clinical presentation, diagnostic techniques, and treatment methods of laryngeal CD through a scoping review and the addition of a new case.
Methods: Due to limited existing literature, we employed a mixed methodology for review.
Salient Voice Symptoms in Primary Muscle Tension Dysphonia.
J Voice
January 2025
School of Behavioral and Brain Sciences, Department of Speech, Language, and Hearing, Callier Center for Communication Disorders, University of Texas at Dallas, Richardson, TX; Department of Otolaryngology - Head and Neck Surgery, University of Texas Southwestern Medical Center, Dallas, TX. Electronic address:
Introduction: Patients with primary muscle tension dysphonia (pMTD) commonly report symptoms of vocal effort, fatigue, discomfort, odynophonia, and aberrant vocal quality (eg, vocal strain, hoarseness). However, voice symptoms most salient to pMTD have not been identified. Furthermore, how standard vocal fatigue and vocal tract discomfort indices that capture persistent symptoms-like the Vocal Fatigue Index (VFI) and Vocal Tract Discomfort Scale (VTDS)-relate to acute symptoms experienced at the time of the voice evaluation is unclear.
View Article and Find Full Text PDFA Longitudinal Study of Vocal Symptomatology in Teachers During Distance, Hybrid, and In-Person Teaching.
J Voice
December 2024
Professor in the Speech, Language and Hearing Sciences Department of the Federal University of Sergipe - Lagarto Campus, Lagarto, Brazil. Electronic address:
Objective: To compare the vocal symptomatology of professors from a federal university who engaged in distance, hybrid, and face-to-face teaching during and after the Coronavirus Disease 2019 (COVID-19) pandemic period.
Method: The study included 40 university professors, 20 men and 20 women, whose symptomatology was monitored at three time points: during the distance teaching period due to social isolation caused by COVID-19, in hybrid teaching (partial return), and upon returning to face-to-face teaching, which required the use of face masks and posed contamination risks.
Results: The hybrid phase presented the highest absence of vocal complaints/discomfort, and most participants did not need to be reassigned due to vocal problems.
Effects of the Water Resistance Therapy Program on Behavioral Dysphonia: A Physiological Therapeutic Proposal Based on the Principles of Sensorimotor Learning.
J Voice
December 2024
Speech-Language Pathology and Audiology Department at Faculdade de Odontologia de Bauru, Universidade de São Paulo, Bauru, São Paulo, Brazil. Electronic address:
Introduction: The main goal of voice therapy is to reestablish the balance of the vocal system through myoelastic and aerodynamic forces. Therefore, the therapeutic method must focus on vocal physiology as a way of reversing the pathology and also be easy for the patient to internalize it. Water resistance therapy (WRT) can meet this demand.
View Article and Find Full Text PDFHarnessing machine learning in diagnosing complex hoarseness cases.
Am J Otolaryngol
December 2024
Carmel Medical Center, Department of Otolaryngology - Head and Neck Surgery, Haifa, Israel; The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
Purpose: Traditional vocal fold pathology recognition typically requires expertise of laryngologists and advanced instruments, primarily through direct visualization. This study aims to augment this conventional paradigm by introducing a parallel diagnostic procedure. Our objective is to harness a machine-learning algorithm designed to discern intricate patterns within patients' voice recordings to distinguish not only between healthy and hoarse voices but also among various specific disorders.
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