Results 201 to 210 of about 126,798 (312)

Decreased Production of Tissue Plasminogen Activator in Endothelial Cells From Nasal Polyps

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Introduction Previous studies have demonstrated that chronic rhinosinusitis with nasal polyps (CRSwNP) is characterized by excessive fibrin deposition which is related to impaired production of tissue plasminogen activator(t‐PA) by epithelial cells.
Qian‐Qian Zhang   +9 more
wiley   +1 more source

The Utility of Intranasal Corticosteroids in Association With Dupilumab for Chronic Rhinosinusitis With Nasal Polyposis: A Real‐Life Multicenter Study by a Tuscany Group

open access: yesWorld Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective Chronic rhinosinusitis with nasal polyps (CRSwNP) is a persistent inflammatory condition often associated with other type‐2 diseases. Dupilumab, a monoclonal antibody targeting IL‐4Rα, has revolutionized the treatment of severe CRSwNP.
Pietro Orlando   +17 more
wiley   +1 more source

Incidence, Risk Factors, and Time Trends for Bile Leakage After Cholecystectomy for Gallstone Disease—Results From a Population‐Based Cohort Study

open access: yesWorld Journal of Surgery, EarlyView.
Bile leakage is a severe complication after cholecystectomy and is associated with an increased risk of morbidity and mortality. The aim of this study was to evaluate the incidence of bile leakage post‐cholecystectomy and to identify potential risk factors and their association with changes in the incidence of bile leakage over time.
Layla Mirzaei   +3 more
wiley   +1 more source

Feasibility Study of Modified Underwater Endoscopic Mucosal Resection for Colorectal Polyps. [PDF]

open access: yesDEN Open
Kagemoto K   +17 more
europepmc   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam   +3 more
wiley   +1 more source

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