Статья

Chest MRI of patients with COVID-19: a retrospective case study

Y. Vasilev, K. Sergunova, A. Bazhin, A. Masri, Y. Vasileva, E. Suleumanov, D. Semenov, N. Kudryavtsev, O. Panina, A. Khoruzhaya, V. Znichenko, E. Akhmad, A. Petraikin, A. Vladzymyrskyy, A. Midaev, S. Morozov,
2020

ABSTRACT During the pandemic of COVID-19, computed tomography showed its effectiveness in diagnosis of coronavirus infection. However, ionizing radiation during CT studies causes concern for patients who require dynamic observation, as well as for examination of children and young people. For this retrospective study, we included 15 suspected for COVID-19 patients who were hospitalized in April 2020, Russia. There were 4 adults with positive polymerase chain reaction (PCR) test for COVID-19. All patients underwent MRI examinations using MR-LUND PROTOCOL: Single-shot Fast Spin Echo (SSFSE), LAVA 3D and IDEAL 3D, EPI diffusion-weighted imaging (DWI) and Fast Spin Echo (FSE) T2WI without using respiratory or any other trigger. 3 patients also had CT scan performed. In 5 (33,3%) patients, detected lesioins were visualized on T2WI and DWI simultaneously. At the same time, 4 (26.7%) patients revealed lung tissue changes only on T2WI (P(McNemar)= 0,125, OR= 0,00 (95%), kappa=0,500). Pulmonary changes on MRI were also analyzed depending on their localization. In those patients who had CT scan, the changes were comparable to MRI. MRI of the lungs can detect features of viral pneumonia and assess severity of lung damage. The method can be used to diagnose COVID-19. These data may be applicable for interpreting other studies, such as thoracic spine MRI, detecting signs of viral pneumonia of asymptomatic patients. The current study was limited by a small sample size and absence of chest CT scans of all patients.

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  • 1. Version of Record от 2020-05-16

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Об авторах
  • Y. Vasilev
    Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia; Imed Clinic, Grozny, Chechen Republic, Russia;
  • K. Sergunova
    Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia;
  • A. Bazhin
    Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia; Imed Clinic, Grozny, Chechen Republic, Russia;
  • A. Masri
    Imed Clinic, Grozny, Chechen Republic, Russia;
  • Y. Vasileva
    Moscow State University of Medicine and Dentistry
  • E. Suleumanov
    Ministry of Health of the Chechen Republic;
  • D. Semenov
    Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies
  • N. Kudryavtsev
    Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia;
  • O. Panina
    Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia;
  • A. Khoruzhaya
    Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia;
  • V. Znichenko
    Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia;
  • E. Akhmad
    Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia;
  • A. Petraikin
    Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia;
  • A. Vladzymyrskyy
    Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia;
  • A. Midaev
    Imed Clinic, Grozny, Chechen Republic, Russia;
  • S. Morozov
    Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department, Moscow, Russia;
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  • COVID-19
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