Spectrum of Imaging Patterns on High Resolution Computed Tomographyin Lower Respiratory Tract Infections and Their Differential Diagnosis
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Abstract
The present study concludes that high resolution computed tomography is an invaluable tool in defining the imaging features of lower respiratory tract infection and characterization of the disease based on variouspatterns.
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Prayash P. Thakur, R. Chidambaram. (2021). Spectrum of Imaging Patterns on High Resolution Computed Tomographyin Lower Respiratory Tract Infections and Their Differential Diagnosis. Annals of the Romanian Society for Cell Biology, 25(2), 1123–1135. Retrieved from https://www.annalsofrscb.ro/index.php/journal/article/view/1061
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