Characterization of COVID-19-Related Lung Involvement in Patients Undergoing Magnetic Resonance T1 and T2 Mapping Imaging: A Pilot Study

被引:3
作者
Camastra, Giovanni [1 ]
Arcari, Luca [1 ]
Ciolina, Federica [2 ]
Danti, Massimiliano [2 ]
Ansalone, Gerardo [1 ]
Cacciotti, Luca [1 ]
Sbarbati, Stefano [2 ]
机构
[1] Madre Giuseppina Vannini Hosp, Covid Cardiol Unit, I-00177 Rome, Italy
[2] Madre Giuseppina Vannini Hosp, Radiol Unit, I-00177 Rome, Italy
关键词
COVID-19; pneumonia; magnetic resonance imaging; T1; mapping; T2; edema; fibrosis; INFLAMMATION; CMR;
D O I
10.3390/jimaging8120314
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
Tissue characterization by mapping techniques is a recent magnetic resonance imaging (MRI) tool that could aid the tissue characterization of lung parenchyma in coronavirus disease-2019 (COVID-19). The aim of the present study was to compare lung MRI findings, including T1 and T2 mapping, in a group of n = 11 patients with COVID-19 pneumonia who underwent a scheduled cardiac MRI, and a cohort of healthy controls. MRI scout images were used to identify affected and remote lung regions within the patients' cohort and appropriate regions of interest (ROIs) were drawn accordingly. Both lung native T1 and T2 values were significantly higher in the affected areas of patients with COVID-19 as compared to the controls (1375 ms vs. 1201 ms, p = 0.016 and 70 ms vs. 30 ms, p < 0.001, respectively), whereas no significant differences were detected between the remote lung parenchyma of the COVID-19 patients and the controls (both p > 0.05). When a larger ROI was identified, comprising the whole lung parenchyma within the image irrespective of the affected and remote areas, the COVID-19 patients still retained higher native T1 (1278 ms vs. 1149 ms, p = 0.003) and T2 values (38 ms vs. 34 ms, p = 0.04). According to the receiver operator characteristics curves, the T2 value of the affected region retained the higher accuracy for the differentiation of the COVID-19 patients against the controls (area under the curve 0.934, 95% confidence interval 0.826-0.999). These findings, possibly driven by the ability of MRI tissue mapping to detect ongoing inflammation in the lungs of patients with COVID-19, suggest that T1 and T2 mapping of the lung is a feasible approach in this clinical scenario.
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页数:8
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共 15 条
  • [1] Semiquantitative Chest CT Severity Score Predicts Failure of Noninvasive Positive-Pressure Ventilation in Patients Hospitalized for COVID-19 Pneumonia
    Arcari, Luca
    Ciolina, Federica
    Cacciotti, Luca
    Danti, Massimiliano
    Camastra, Giovanni
    Manzo, Daniele
    Musaro, Salvatore
    Pironi, Bruno
    Marazzi, Giuseppe
    Santini, Claudio
    Ansalone, Gerardo
    Sbarbati, Stefano
    [J]. JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIA, 2022, 36 (08) : 2278 - 2286
  • [2] T1 and T2 Mapping in Uremic Cardiomyopathy: An Update
    Arcari, Luca
    Camastra, Giovanni
    Ciolina, Federica
    Danti, Massimiliano
    Cacciotti, Luca
    [J]. CARDIAC FAILURE REVIEW, 2022, 8
  • [3] Coronavirus disease 2019 in patients with cardiovascular disease: clinical features and implications on cardiac biomarkers assessment
    Arcari, Luca
    Luciani, Michelangelo
    Cacciotti, Luca
    Pucci, Mariateresa
    Musumeci, Maria Beatrice
    Pietropaolo, Lorenzo
    Spuntarelli, Valerio
    Negro, Andrea
    Camastra, Giovanni
    Bentivegna, Enrico
    Marazzi, Giuseppe
    Sighieri, Cinzia
    Ansalone, Gerardo
    Santini, Claudio
    Martelletti, Paolo
    Volpe, Massimo
    De Biase, Luciano
    [J]. JOURNAL OF CARDIOVASCULAR MEDICINE, 2021, 22 (11) : 832 - 839
  • [4] Cardiac biomarkers in chronic kidney disease are independently associated with myocardial edema and diffuse fibrosis by cardiovascular magnetic resonance
    Arcari, Luca
    Engel, Juergen
    Freiwald, Tilo
    Zhou, Hui
    Zainal, Hafisyatul
    Gawor, Monika
    Buettner, Stefan
    Geiger, Helmut
    Hauser, Ingeborg
    Nagel, Eike
    Puntmann, Valentina O.
    [J]. JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, 2021, 23 (01)
  • [5] Heart and lung involvement detected by native T1 and T2 mapping magnetic resonance imaging in a patient with coronavirus disease-19
    Camastra, Giovanni
    Ciolina, Federica
    Arcari, Luca
    Danti, Massimiliano
    Cacciotti, Luca
    [J]. EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING, 2021, 22 (07) : E90 - E90
  • [6] Myocardial Fibrosis and Inflammation by CMR Predict Cardiovascular Outcome in People Living With HIV
    de Leuw, Philipp
    Arendt, Christophe T.
    Haberl, Annette E.
    Froadinadl, Daniel
    Kann, Gerrit
    Wolf, Timo
    Stephan, Christoph
    Schuettfort, Gundolf
    Vasquez, Moises
    Arcari, Luca
    Zhou, Hui
    Zainal, Hafisyatul
    Gawor, Monika
    Vidalakis, Eleftherios
    Kolentinis, Michael
    Albrecht, Moritz H.
    Escher, Felicitas
    Vogl, Thomas J.
    Zeiher, Andreas M.
    Nagel, Eike
    Puntmann, Valentina O.
    [J]. JACC-CARDIOVASCULAR IMAGING, 2021, 14 (08) : 1548 - 1557
  • [7] Lung magnetic resonance imaging in systemic sclerosis: a new promising approach to evaluate pulmonary involvement and progression
    Gargani, Luna
    Bruni, Cosimo
    De Marchi, Daniele
    Romei, Chiara
    Guiducci, Serena
    Bellando-Randone, Silvia
    Aquaro, Giovanni Donato
    Pepe, Alessia
    Neri, Emanuele
    Colagrande, Stefano
    Falaschi, Fabio
    Moggi-Pignone, Alberto
    Pingitore, Alessandro
    Matucci-Cerinic, Marco
    [J]. CLINICAL RHEUMATOLOGY, 2021, 40 (05) : 1903 - 1912
  • [8] Horby PW, 2021, LANCET, V397, P1637, DOI 10.1016/S0140-6736(21)00676-0
  • [9] Pulmonary fibrosis 4 months after COVID-19 is associated with severity of illness and blood leucocyte telomere length
    McGroder, Claire F.
    Zhang, David
    Choudhury, Mohammad A.
    Salvatore, Mary M.
    D'Souza, Belinda M.
    Hoffman, Eric A.
    Wei, Ying
    Baldwin, Matthew R.
    Garcia, Christine Kim
    [J]. THORAX, 2021, 76 (12) : 1242 - 1245
  • [10] CMR in Nonischemic Myocardial Inflammation Solving the Problem of Diagnosing Myocarditis or Still Diagnostic Ambiguity?
    Nagel, Eike
    Kwong, Raymond Y.
    Chandrashekhar, Y. S.
    [J]. JACC-CARDIOVASCULAR IMAGING, 2020, 13 (01) : 163 - 166