Support Care Cancer
October 2024
Background: Patients with head and neck squamous cell carcinoma (HNSCC) face several physical, emotional, and psychological challenges throughout treatment. Cisplatin-based chemoradiotherapy (CRT) is an effective but toxic treatment, with an increased risk for toxicities in patients with low skeletal muscle mass (SMM). Consequently, these patients are anticipated to experience greater treatment-related difficulties.
View Article and Find Full Text PDFBackground: Sinonasal squamous cell carcinoma is known for its rarity and poor prognosis. This study aims to investigate the trends in the incidence of sinonasal squamous cell carcinoma in the Netherlands and to analyze patient characteristics and treatment practices in order to assess their relation with patient outcomes.
Methods: In this prospectively designed population-based cohort study, all patients diagnosed with sinonasal squamous cell carcinoma between 2008 and 2021 in the Netherlands were included.
Background: An integral component of comprehensive temporomandibular disorder (TMD) treatment involves what is commonly referred to in literature as patient counselling or patient education. Despite its importance, a clear definition of the concept is lacking.
Objectives: To describe the concept of counselling (i.
Oral Surg Oral Med Oral Pathol Oral Radiol
December 2024
Objectives: Diagnosing adenoid cystic carcinoma (AdCC) is challenging due to histopathological variability and similarities with other tumors. In AdCC pathogenesis, the cellular myeloblastosis gene (c-MYB) often exhibits a MYB::NFIB fusion from a reciprocal translocation. This study aimed to assess the predictive accuracy of MYB immunohistochemistry for detecting this translocation compared to fluorescence in situ hybridization (FISH).
View Article and Find Full Text PDFEur Ann Otorhinolaryngol Head Neck Dis
August 2024
Objective: The Sunnybrook Facial Grading System (SFGS) is a well-established grading system to assess the severity and progression of a unilateral facial palsy. The automation of the SFGS makes the SFGS more accessible for researchers, students, clinicians in training, or other untrained co-workers and could be implemented in an eHealth environment. This study investigated the impact on the reliability of the automated SFGS by adding a facial landmark layer in a previously developed convolutional neural network (CNN).
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