Chest
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Multicenter Study
Predicting Usual Interstitial Pneumonia Histopathology from Chest CT with Deep Learning.
Idiopathic pulmonary fibrosis (IPF) is a progressive, often fatal form of interstitial lung disease (ILD) characterized by the absence of a known cause and usual interstitial pneumonitis (UIP) pattern on chest CT imaging and/or histopathology. Distinguishing UIP/IPF from other ILD subtypes is essential given different treatments and prognosis. Lung biopsy is necessary when noninvasive data are insufficient to render a confident diagnosis. ⋯ Deep learning may be superior to visual assessment in predicting UIP/IPF histopathology from CT imaging and may serve as an alternative to invasive lung biopsy.
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Prior studies in the civilian population have reported racial disparities in lung cancer outcomes following surgical treatment, including inferior quality of care and worse survival. It is unclear if racial disparities exist in the Veterans Health Administration (VHA), the largest integrated health care system in the United States. ⋯ Among veterans with NSCLC undergoing surgical treatment through the VHA, Black patients received comparable care with equivalent if not superior outcomes compared with White patients.
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A 73-year-old man with fever and fatigue presented to his doctor. He had a history of smoking (52 pack-years) and COPD on home oxygen therapy. The patient had no significant family medical history, illicit drug-use history, or recent alcohol use. ⋯ No sputum, urine, or blood cultures were done. Based on the examination, the previous doctors suspected microscopic polyangiitis (MPA) rather than an atypical/resistant infectious disease. The patient was treated with high-dose methylprednisolone (500 mg for 2 days and 125 mg for 13 days), but hemoptysis reappeared, and the patient was subsequently transported to our hospital.