Silent sinus syndrome (SSS) and chronic maxillary atelectasis (CMA) represent an overlapping clinical entity, both likely lying on the spectrum of one disease process. There is widespread inconsistency of diagnosis in the literature of reported cases of SSS and CMA. We propose a novel, comprehensive staging system to simplify diagnosis and inform management.
Background/aims: Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that severely affects cognitive functions and memory. Early detection is crucial for timely intervention and improved patient outcomes. However, traditional diagnostic tools, such as MRI and PET scans, are costly and less accessible.
Background: Breast cancer is the leading cause of cancer-related deaths in women. Cytokines have been linked to various cancers, and both benign and malignant breast diseases are associated with inflammation. However, there is limited understanding of how the immune system's cytokine response varies among different subtypes of breast cancer.
Video-assisted thoracic surgery (VATS) is a minimally invasive approach for treating early-stage non-small-cell lung cancer. Optimal trocar placement during VATS ensures comprehensive access to the thoracic cavity, provides a panoramic endoscopic view, and prevents instrument crowding. While established principles such as the Baseball Diamond Principle (BDP) and Triangle Target Principle (TTP) exist, surgeons mainly rely on experience and patient-specific anatomy for trocar placement, potentially leading to sub-optimal surgical plans that increase operative time and fatigue.
Internet of Things (IoT) is changing patient engagement in healthcare by shifting from traditional care models to a continuous, technology-driven approach using IoT-based Remote Monitoring Systems (IoT-RMS). This research seeks to redefine patient engagement by examining how Internet of Things (IoT) technologies can impact healthcare management and patient-provider interactions at different phases. Additionally, it presents the relationship between patient engagement stages and IoT-RMS, which promotes patients' active participation using technological health management tools.
Objective: Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP-A) is a novel steroid sensitive autoimmune disease, without a diagnostic consensus. The purpose of this study was to improve early GFAP-A diagnosis by increasing awareness of key clinical characteristics and imaging manifestations.
Methods: Medical records of 13 patients with anti-GFAP antibodies in serum or cerebrospinal fluid (CSF) were reviewed for cross-sectional and longitudinal analysis of clinical and magnetic resonance imaging (MRI) findings.
