Chest X-ray is a usual tool for family physicians; however, unexpected findings in chest X-ray are a frequent challenge. We present a rare case of pulmonary hilar nodule misdiagnosis in a chest X-ray. An 84-year-old woman was sent with a diagnosis of a right pulmonary hilum nodule. She had a history of chronic obstructive pulmonary disease; so in a chest X-ray, her family physician discovered a "nodule" in her right lung hilum. Her physical exam was not relevant. In our hospital, a thoracic computed tomography (CT) scan verified the mass in the right pulmonary hilum; nevertheless, in a coronal CT scan, the "hilum lump" was the tortuous descending aorta that created an angle. This case illustrates how anatomical changes associated with vascular aging may cause this exceptional pitfall in chest X-ray.
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http://dx.doi.org/10.4103/2249-4863.197307 | DOI Listing |
J Med Internet Res
January 2025
Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Background: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. However, the accuracy of AI systems in identifying and measuring lung nodules on chest computed tomography (CT) scans remains unclear, which requires further evaluation.
View Article and Find Full Text PDFEur J Trauma Emerg Surg
January 2025
Emergency Department, Tel Aviv Sourasky Medical Center, 6 Weizman Street, 6423906, Tel Aviv, Israel.
Objective: To evaluate the NEXUS Chest CT ALL decision instrument (DI) in reducing unnecessary chest CT imaging in minor blunt trauma patients while preserving high sensitivity for detecting clinically meaningful injuries. Additionally, we examined the impact of delayed presentation, chronic disease, and anticoagulation/anti-aggregation medications on trauma outcomes.
Methods: This retrospective study included 853 adult minor blunt trauma patients who underwent chest CT in the emergency department (ED) of Tel-Aviv Sourasky Medical Center between 2018 and 2022.
J Intern Med
January 2025
Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Harvard Institutes of Medicine (HIM), Boston, Massachusetts, USA.
Background: Steatotic liver disease (SLD) is a potentially reversible condition but often goes unnoticed with the risk for end-stage liver disease.
Purpose: To opportunistically estimate SLD on lung screening chest computed tomography (CT) and investigate its prognostic value in heavy smokers participating in the National Lung Screening Trial (NLST).
Material And Methods: We used a deep learning model to segment the liver on non-contrast-enhanced chest CT scans of 19,774 NLST participants (age 61.
J Cachexia Sarcopenia Muscle
February 2025
Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Background: Chest computed tomography (CT) is a valuable tool for diagnosing and predicting the severity of coronavirus disease 2019 (COVID-19) and assessing extrapulmonary organs. Reduced muscle mass and visceral fat accumulation are important features of a body composition phenotype in which obesity and muscle loss coexist, but their relationship with COVID-19 outcomes remains unclear. In this study, we aimed to investigate the association between the erector spinae muscle (ESM) to epicardial adipose tissue (EAT) ratio (ESM/EAT) on chest CT and disease severity in patients with COVID-19.
View Article and Find Full Text PDFRadiol Case Rep
March 2025
Department of Radiology, Tenri Hospital, Nara, Japan.
We report the case of a 62-year-old male on long-term hemodialysis who was admitted to our hospital due to acute cerebral infarction associated with a cardiac calcified amorphous tumor (CAT). The patient presented with recurrent episodes of syncope and retrograde amnesia. Brain MRI identified multiple acute cerebral infarctions, while transthoracic echocardiography (TTE) revealed a 2.
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