A Systematic Review of Artificial Intelligence Applications in the Management of Lung Disorders.

This systematic review examines the transformative impact of artificial intelligence (AI) in managing lung disorders through a comprehensive analysis of articles spanning 2014 to 2023. Evaluating AI's multifaceted roles in radiological imaging, disease burden prediction, detection, diagnosis, and molecular mechanisms, this review presents a critical synthesis of key insights from select articles. The findings underscore AI's significant strides in bolstering diagnostic accuracy, interpreting radiological imaging, predicting disease burdens, and deepening the understanding of tuberculosis (TB), chronic obstructive pulmonary disease (COPD), silicosis, pneumoconiosis, and lung fibrosis. The synthesis positions AI as a revolutionary tool within the healthcare system, offering vital implications for healthcare workers, policymakers, and researchers in comprehending and leveraging AI's pivotal role in lung disease management.

Chylothorax in the Setting of Lung Malignancy.

Chylothorax refers to chyle within the pleural space, which frequently arises from an interruption in the thoracic duct or because of reduced lymphatic drainage. Pleural fluid that is white/milky in appearance, with a triglyceride concentration of greater than 110 mg/dL, strongly supports the diagnosis of chylothorax. Chylothorax is nearly always exudative. Transudative chylothorax is extremely rare and typically presents due to a secondary cause, such as liver cirrhosis, nephrotic syndrome, or congestive heart failure. We present a case of chylothorax that occurs in the setting of lung adenocarcinoma. A 65-year-old African American man with a past medical history of metastatic right lung adenocarcinoma presented with dyspnea and palpitations. He denied fever, orthopnea, and paroxysmal nocturnal dyspnea. Therapeutic drainage of the left pleural effusion resulted in 650 mL of milky-white fluid. Pleural fluid analysis demonstrated a triglyceride concentration of 520 mg/dL, a pleural/serum protein ratio of 0.41, a pleural/serum lactate dehydrogenase (LDH) ratio of 0.26, a total pleural LDH of 127 IU/L, and a cholesterol level of 58 mg/dL. This effusion can be classified as transudative as per Light's criteria and exudative as per Heffner's and pleural cholesterol criteria. A subsequent pleural fluid cytology found malignant cells consistent with lung adenocarcinoma. Malignancy is the most common cause of nontraumatic, exudative chylothorax. Light's criteria misinterpret about 25% of transudative effusions as exudative. Therefore, to minimize this error, a combination of the 3-criterial consideration is ideal.

COVID-19 and Cavitary Lesion in Lung.

The clinical manifestations of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are widespread, ranging from asymptomatic to critical illness with significant morbidity and mortality. It is widely known that individuals who have viral respiratory infections are more likely to develop bacterial infections. Throughout the pandemic, despite the fact that COVID-19 was thought to be the primary cause of millions of deaths, bacterial coinfections, superinfections, and other secondary complications played a significant role in the increased mortality rate. In our case, a 76-year-old male presented to the hospital complaining of shortness of air. Polymerase chain reaction (PCR) testing was positive for COVID-19 and cavitary lesions were discovered on imaging. Treatment was guided based on the results of bronchoscopy with bronchoalveolar lavage (BAL) cultures showing methicillin-resistant Staphylococcus aureus (MRSA) and Mycobacterium gordonae. However, the case was later complicated by the development of a pulmonary embolism after anticoagulants were held due to new onset hemoptysis. Our case highlights the importance of considering bacterial coinfection in cavitary lung lesions, appropriate antimicrobial stewardship, and close follow-up for full recovery in COVID-19 infections.