RESUMEN
Neuroendocrine tumors (NETs) represent a heterogeneous group of neoplasms with diverse clinical presentations and prognoses. Accurate and timely diagnosis of these tumors is crucial for appropriate management and improved patient outcomes. In recent years, exciting advancements in artificial intelligence (AI) technologies have been revolutionizing medical diagnostics, particularly in the realm of detecting and characterizing pulmonary NETs, offering promising avenues for improved patient care. This article aims to provide a comprehensive overview of the role of AI in diagnosing lung NETs. We discuss the current challenges associated with conventional diagnostic approaches, including histopathological examination and imaging modalities. Despite advancements in these techniques, accurate diagnosis remains challenging due to the overlapping features with other pulmonary lesions and the subjective interpretation of imaging findings. AI-based approaches, including machine learning and deep learning algorithms, have demonstrated remarkable potential in addressing these challenges. By leveraging large datasets of radiological images, histopathological samples, and clinical data, AI models can extract complex patterns and features that may not be readily discernible to human observers. Moreover, AI algorithms can continuously learn and improve from new data, leading to enhanced diagnostic accuracy and efficiency over time. Specific AI applications in the diagnosis of lung NETs include computer-aided detection and classification of pulmonary nodules on CT scans, quantitative analysis of PET imaging for tumor characterization, and integration of multi-modal data for comprehensive diagnostic assessments. These AI-driven tools hold promise for facilitating early detection, risk stratification, and personalized treatment planning in patients with lung NETs.
RESUMEN
Primary biliary cholangitis (PBC) is common in females during middle age, presenting with fatigue and itching. In our case, an African-American male patient presented with abdominal pain, vomiting, fatigue, and lung manifestations such as interstitial lung disease, granulomatous lung disease, and pulmonary hypertension. In our case, the patient reported abdominal pain and fatigue with abnormal chest X-ray findings (bilateral pulmonic nodular lesion with calcifications), which mimicked silicosis/sarcoidosis lung findings such as bronchiectasis and parenchymal nodules. We diagnosed PBC as there was an absence of extrahepatic biliary obstruction and the presence of antimitochondrial antibodies (AMA) at a titer of 1:40 or higher. Bronchoalveolar lavage was performed due to the suspicion of interstitial lung disease and sarcoidosis, which was inconclusive but revealed enterococcus faecalis organisms. Initial antibiotic response heightens suspicion of infection, not colonization, leading to the diagnosis of enterococcal pneumonia. In our case, the diagnosis was made using clinical and laboratory criteria, and treatment with Ursodeoxycholic acid was opted for without resorting to more expensive and invasive tests like magnetic resonance cholangiopancreatography (MRCP) and endoscopic retrograde cholangiopancreatography (ERCP). In summary, this case report presented the unique diagnostic challenges that will aid clinicians in considering a broad range of differential diagnoses and management plans.
RESUMEN
Hypernatremia or high serum sodium levels can have many different causes, including insufficient free water intake, or excess free water losses. The management of hypernatremia focuses on resolving the underlying cause, replenishing free water deficit, and preventing further losses while closely monitoring serum sodium concentration. This systematic review was carried out using medical databases such as PubMed, PubMed Central, and Google Scholar for relevant medical literature. The identified articles were reviewed, eligibility criteria were applied, and seven research articles were identified. The effect of the rate of hypernatremia correction on both short- and long-term outcomes in volume-resuscitated patients was the focus of our search for randomized or observational studies. Based on our analysis of the clinical evidence, we concluded that the present recommendations for treating acute and chronic hypernatremia in resuscitated patients do not stem from high-quality research.
RESUMEN
In this project, we are trying to review the articles that discuss the relationship between insulin signaling and Alzheimer's disease (AD). Another focus of this project is to find the best treatment regimen that can reduce the progression of AD in patients with impaired glucose metabolism. We used Pubmed database to collect our data and used the following keywords: Alzheimer's disease, insulin signaling pathway, type 3 diabetes, type 2 diabetes, insulin, and insulin resistance in our revision; we included free articles that were published in the last 10 years and excluded articles that were written in any language other than English. We reviewed 68 articles. Forty-nine out of 68 articles were containing materials that are relevant for this project. We found that there is a relation between AD and the insulin signaling pathway. Insulin signaling pathway impairment leads to hyperphosphorylation of Tau protein, which plays a vital role in AD pathology. The effect of insulin on cognition is bidirectional; the intranasal route of insulin showed to have a promising effect on cognition improvement. Subcutaneous and intravenous insulin can increase the risk of dementia. Further studies are encouraged to use a specific anti-diabetic medication that can reduce the progression of AD.
