Computed Tomography Findings of Pulmonary Mycobacterium simiae Infection
نویسندگان
چکیده
منابع مشابه
Computed Tomography Findings of Pulmonary Mycobacterium simiae Infection
Nontuberculous mycobacterial (NTM) pulmonary infections can be quite similar to tuberculosis, both clinically and radiologically. However, the treatment protocol is not similar. Mycobacterium simiae is a rare cause of NTM pulmonary infection. Herein, we aimed to evaluate and compare the computed tomography (CT) scan findings of M. simiae infection in lungs. For this reason, thirty-four patients...
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OBJECTIVE To describe the main tomography findings in patients diagnosed with pulmonary infection caused by Mycobacterium kansasii. MATERIALS AND METHODS Retrospective study of computed tomography scans of 19 patients with pulmonary infection by M. kansasii. RESULTS Of the 19 patients evaluated, 10 (52.6%) were male and 9 (47.4%) were female. The mean age of the patients was 58 years (range...
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متن کاملComputed Tomography Imaging findings in Chemical Warfare Victims with pulmonary Complications
Introduction: Data on imaging findings in pulmonary complications of chemical agents is scarce. The current study aimed to evaluate radiological findings of late onset pulmonary complications in chemical warfare victims (CWV) and to guide pulmonologists in diagnosis of these subjects. Materials and Methods: Ninety- three male CWV were enrolled in this prospective study, 20-25 years (mean=23...
متن کاملComment on “Computed Tomography Imaging Findings in Chemical Warfare Victims with Pulmonary Complications”
Dr.Mirsadraei and colleagues performed an interesting study about the lung HRCT findings in chemical warfare patients who suffering from long-term pulmonary complications. They found that air trapping and mosaic attenuation were the most common lung HRCT findings. Also they divided patients in different clinical entities according to the lung HRCT findings (Bronchiolitis Oblitrans, pulmonary fi...
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ژورنال
عنوان ژورنال: Canadian Respiratory Journal
سال: 2017
ISSN: 1198-2241,1916-7245
DOI: 10.1155/2017/6913564