COVID-19 pneumonia: microvascular disease revealed on pulmonary dual-energy computed tomography angiography.

COVID-19 computed tomography (CT) computed tomography angiography dual energy lung diseases pulmonary artery thrombosis pulmonary embolism

Journal

Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942

Informations de publication

Date de publication:
Sep 2020
Historique:
entrez: 4 9 2020
pubmed: 4 9 2020
medline: 4 9 2020
Statut: ppublish

Résumé

Increased prevalence of acute pulmonary embolism in COVID-19 has been reported in few recent studies. Some works have highlighted pathological changes on lung microvasculature with local pulmonary intravascular coagulopathy that may explain pulmonary artery thrombosis found on pulmonary computed tomography (CT) angiography. The objective of our study was to describe lung perfusion disorders assessed by pulmonary dual-energy CT (DECT) angiography in severe COVID-19 patients. This single center retrospective study included 85 consecutive patients with a reverse transcriptase-polymerase chain reaction diagnosis of SARS-CoV-2 who underwent a pulmonary DECT angiography between March 16 Twenty-nine patients (34%) were diagnosed with pulmonary artery thrombosis, mainly segmental (83%). Semi-quantitative analysis revealed parenchymal ischemia in 68% patients of the overall population, with no significant difference regarding absence or presence of pulmonary artery thrombosis (23 Pulmonary perfusion evaluated by iodine concentration maps shows extreme heterogeneity in COVID-19 patients and lower iodine levels in normal parenchyma. Pulmonary ischemic areas were more frequent and larger in patients with pulmonary artery thrombosis. Pulmonary DECT angiography revealed a significant number of pulmonary ischemic areas even in the absence of visible pulmonary arterial thrombosis. This may reflect microthrombosis associated with COVID-19 pneumonia.

Sections du résumé

BACKGROUND BACKGROUND
Increased prevalence of acute pulmonary embolism in COVID-19 has been reported in few recent studies. Some works have highlighted pathological changes on lung microvasculature with local pulmonary intravascular coagulopathy that may explain pulmonary artery thrombosis found on pulmonary computed tomography (CT) angiography. The objective of our study was to describe lung perfusion disorders assessed by pulmonary dual-energy CT (DECT) angiography in severe COVID-19 patients.
METHODS METHODS
This single center retrospective study included 85 consecutive patients with a reverse transcriptase-polymerase chain reaction diagnosis of SARS-CoV-2 who underwent a pulmonary DECT angiography between March 16
RESULTS RESULTS
Twenty-nine patients (34%) were diagnosed with pulmonary artery thrombosis, mainly segmental (83%). Semi-quantitative analysis revealed parenchymal ischemia in 68% patients of the overall population, with no significant difference regarding absence or presence of pulmonary artery thrombosis (23
CONCLUSIONS CONCLUSIONS
Pulmonary perfusion evaluated by iodine concentration maps shows extreme heterogeneity in COVID-19 patients and lower iodine levels in normal parenchyma. Pulmonary ischemic areas were more frequent and larger in patients with pulmonary artery thrombosis. Pulmonary DECT angiography revealed a significant number of pulmonary ischemic areas even in the absence of visible pulmonary arterial thrombosis. This may reflect microthrombosis associated with COVID-19 pneumonia.

Identifiants

pubmed: 32879862
doi: 10.21037/qims-20-708
pii: qims-10-09-1852
pmc: PMC7417764
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1852-1862

Informations de copyright

2020 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/qims-20-708). The authors have no conflicts of interest to declare.

Références

Semin Thromb Hemost. 2020 May 12;:
pubmed: 32396963
Br J Haematol. 2020 Jun;189(6):1044-1049
pubmed: 32330308
AJR Am J Roentgenol. 2010 Mar;194(3):604-10
pubmed: 20173135
J Thorac Imaging. 2020 Jul;35(4):219-227
pubmed: 32324653
Radiology. 2020 Sep;296(3):E186-E188
pubmed: 32324103
Dtsch Med Wochenschr. 2020 May;145(10):670-674
pubmed: 32344440
Quant Imaging Med Surg. 2020 Jun;10(6):1325-1333
pubmed: 32550141
Radiology. 2020 Sep;296(3):E189-E191
pubmed: 32324102
J Thromb Haemost. 2020 Aug;18(8):1995-2002
pubmed: 32369666
Crit Care Resusc. 2020 Apr 15;22(2):95-97
pubmed: 32294809
AJR Am J Roentgenol. 2020 May;214(5):1072-1077
pubmed: 32125873
Invest Radiol. 2020 Jun;55(6):332-339
pubmed: 32134800
AJR Am J Roentgenol. 2020 Jul;215(1):87-93
pubmed: 32174129
Circulation. 2020 Jul 14;142(2):184-186
pubmed: 32330083
Radiology. 2020 Jun;295(3):715-721
pubmed: 32053470
Eur Radiol. 2020 Sep;30(9):4865-4873
pubmed: 32291502
Radiology. 2020 Apr;295(1):202-207
pubmed: 32017661
Radiology. 2020 Jul;296(1):172-180
pubmed: 32255413
Lancet. 2020 May 2;395(10234):1417-1418
pubmed: 32325026
Radiology. 2020 Aug;296(2):E79-E85
pubmed: 32243238
J Digit Imaging. 2012 Jun;25(3):409-22
pubmed: 22089834
Lancet. 2020 Mar 28;395(10229):1054-1062
pubmed: 32171076
Acta Haematol. 2020 May 12;:1-8
pubmed: 32396903
N Engl J Med. 2020 Jul 9;383(2):120-128
pubmed: 32437596
Theranostics. 2020 Apr 27;10(12):5641-5648
pubmed: 32373237
Eur Radiol. 2020 May 4;:
pubmed: 32367418
Ann Intern Med. 2020 Sep 1;173(5):350-361
pubmed: 32422076
J Thromb Haemost. 2020 Apr;18(4):844-847
pubmed: 32073213
J Pathol. 2003 Jul;200(3):282-9
pubmed: 12845623
J Thorac Imaging. 2020 Jul;35(4):W105-W106
pubmed: 32404797
AJR Am J Roentgenol. 2020 Jul;215(1):W15
pubmed: 32255684
J Med Virol. 2020 Jul;92(7):791-796
pubmed: 32181911
Radiology. 2020 Jun;295(3):200463
pubmed: 32077789
AJR Am J Roentgenol. 2020 Jul;215(1):121-126
pubmed: 32174128
Eur Radiol. 2020 Sep;30(9):4903-4909
pubmed: 32314058
Thromb Haemost. 2020 Jun;120(6):949-956
pubmed: 32349133
Lancet. 2020 Feb 15;395(10223):497-506
pubmed: 31986264
Radiology. 2020 Apr 23;:201629
pubmed: 32324101
Biosci Trends. 2020 Apr 30;:
pubmed: 32350161
Invest Radiol. 2020 May;55(5):257-261
pubmed: 32091414
Eur Radiol. 2013 Oct;23(10):2666-75
pubmed: 23760304

Auteurs

Franck Grillet (F)

Department of Radiology, Centre Hospitalier Universitaire de Besancon, Besancon, France.

Andreas Busse-Coté (A)

Department of Radiology, Centre Hospitalier Universitaire de Besancon, Besancon, France.

Paul Calame (P)

Department of Radiology, Centre Hospitalier Universitaire de Besancon, Besancon, France.

Julien Behr (J)

Department of Radiology, Centre Hospitalier Universitaire de Besancon, Besancon, France.

Eric Delabrousse (E)

Department of Radiology, Centre Hospitalier Universitaire de Besancon, Besancon, France.
Nanomedecine Laboratory EA4662, University of Franche-Comte, Besancon, France.

Sébastien Aubry (S)

Department of Radiology, Centre Hospitalier Universitaire de Besancon, Besancon, France.
Nanomedecine Laboratory EA4662, University of Franche-Comte, Besancon, France.

Classifications MeSH