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Department of Oncology, Suining Central Hospital, Suining, China.
Objective: Our study aimed to update demographic profiles of sinonasal adenocarcinoma (SNAC) between 2000 and 2020, identify independent prognostic risk factors, and devise a predictive nomogram for overall survival (OS).
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[Development of paranasal sinus surgery in Austria and Switzerland: past, present, and future].
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January 2025
Zentrum für HNO- und plastische Gesichtschirurgie, ORL-Zentrum Klinik Hirslanden, Zürich, Schweiz.
Thanks to our predecessors and technical progress, we can nowadays offer our patients a safe and modern paranasal sinus surgery. This article provides an overview of the historical development of paranasal sinus surgery in Austria and Switzerland and to shed light on the dynamic progress of this discipline in an international context. Paranasal sinus surgery has undergone significant change in recent decades, driven by rapid technological advances that have significantly improved surgical procedures and operative outcomes.
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Department of Otolaryngology, Head and Neck Surgery, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan.
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Expression of Major Basic Protein and Endothelial Adhesion Molecules in Chronically Inflamed Mucosa of the Ethmoid Labyrinth.
Immun Inflamm Dis
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Department of Otorhinolaryngology, Faculty of Medicine of the Military Medical Academy, University of Defence, Belgrade, Serbia.
Background/objectives: Tissue remodeling, including dense eosinophil infiltration, is essential for forming inflammatory nasal polyps (NPs) and the pathogenesis of chronic rhinosinusitis with nasal polyps (CRSwNP). Toxic eosinophil major basic protein (MBP) damages the sinus mucosa epithelium and lamina propria, which initiates reparative processes leading to tissue remodeling. MBP specifically binds to BMK-13 antibodies allowing immunohistochemical (IHC) tissue staining for eosinophils.
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Sci Data
December 2024
Department of Nuclear Medicine/PET Center, Huashan Hospital, Fudan University, Shanghai, China.
Modern facial surgical planning and therapeutic strategies rely heavily on the precise segmentation of the nasal cavity and paranasal sinuses from computed tomography (CT) images for quantitative analysis. Nevertheless, manual segmentation is labor-intensive and prone to inconsistencies, highlighting the need for automatic segmentation methods. A significant challenge in this field is the lack of publicly available clinical datasets for research.
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