Magnetic resonance imaging for diagnostics of lung diseases
https://doi.org/10.18093/0869-0189-2018-28-2-217-233
Abstract
Published data on a role of magnetic resonance imaging (MRI) in diagnosis of lung disease are reviewed in the article. Methodology, signs of inflammatory and malignant diseases, and differential diagnosis are also described. The authors compared a role of MRI and computed tomography (CN) for diagnosis of lung diseases. In conclusion, MRI is a useful method for diagnosis and differential diagnosis which could complement CT findings.
About the Authors
P. M. Kotlyarov
Federal Russian Scientific Radiology Center, Healthcare Ministry of Russia
Russian Federation
Russian Federation
Doctor of Medicine, Professor, Head of Research Department of Novel Technologies and Radiological Diagnosis of Diseases
Affiliation ID: 60105123
I. D. Lagkuyeva
Federal Russian Scientific Radiology Center, Healthcare Ministry of Russia
Russian Federation
Junior Research, Research Department of Novel Technologies and Radiological Diagnosis of Diseases
Russian Federation
Junior Research, Research Department of Novel Technologies and Radiological Diagnosis of Diseases
N. I. Sergeyev
Federal Russian Scientific Radiology Center, Healthcare Ministry of Russia
Russian Federation
Doctor of Medicine, Leading Researcher, Research Department of Novel Technologies and Radiological Diagnosis of Diseases
Russian Federation
Doctor of Medicine, Leading Researcher, Research Department of Novel Technologies and Radiological Diagnosis of Diseases
V. A. Solodkiy
Federal Russian Scientific Radiology Center, Healthcare Ministry of Russia
Russian Federation
Doctor of Medicine, Professor, Academician of Russian Academy of Sciences, Director
Russian Federation
Doctor of Medicine, Professor, Academician of Russian Academy of Sciences, Director
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Review
For citations:
Kotlyarov P.M., Lagkuyeva I.D., Sergeyev N.I., Solodkiy V.A. Magnetic resonance imaging for diagnostics of lung diseases. PULMONOLOGIYA. 2018;28(2):217-233. (In Russ.) https://doi.org/10.18093/0869-0189-2018-28-2-217-233
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