288
Views
6
CrossRef citations to date
0
Altmetric
Original Scientific Papers

Epicardial and pericoronary adipose tissue in severe COVID-19 infection

, ORCID Icon, &
Pages 451-458 | Received 11 Aug 2021, Accepted 17 Nov 2021, Published online: 06 Dec 2021

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (1)

Patrizio Lancellotti, Adriana Postolache & Raluca Dulgheru. (2023) Highlights of imaging heart structure and function. Acta Cardiologica 78:4, pages 383-386.
Read now

Articles from other publishers (5)

Andrea Igoren Guaricci, Danilo Neglia, Wanda Acampa, Daniele Andreini, Andrea Baggiano, Francesco Bianco, Nazario Carrabba, Edoardo Conte, Valeria Gaudieri, Saima Mushtaq, Gianluigi Napoli, Valeria Pergola, Gianluca Pontone, Roberto Pedrinelli, Giuseppe Mercuro, Ciro Indolfi & Marco Guglielmo. (2023) Computed tomography and nuclear medicine for the assessment of coronary inflammation: clinical applications and perspectives. Journal of Cardiovascular Medicine 24:Supplement 1, pages e67-e76.
Crossref
Emre Emekli, Mustafa H Türkkanı & Sevgi S Ballı. (2022) Is there a relationship between epicardial adipose tissue, inflammatory markers and prognosis in COVID-19 in patients under 65 years?. Biomarkers in Medicine 16:12, pages 925-933.
Crossref
Serkan Duyuler & Pınar Türker Duyuler. (2022) Epicardial adipose tissue in coronary microvascular dysfunction. International Journal of Obesity 46:8, pages 1564-1564.
Crossref
Kaiwei Liu, Xin Wang & Guang Song. (2022) Association of epicardial adipose tissue with the severity and adverse clinical outcomes of COVID-19: A meta-analysis. International Journal of Infectious Diseases 120, pages 33-40.
Crossref
Axel Bartoli, Joris Fournel, Léa Ait-Yahia, Farah Cadour, Farouk Tradi, Badih Ghattas, Sébastien Cortaredona, Matthieu Million, Adèle Lasbleiz, Anne Dutour, Bénédicte Gaborit & Alexis Jacquier. (2022) Automatic Deep-Learning Segmentation of Epicardial Adipose Tissue from Low-Dose Chest CT and Prognosis Impact on COVID-19. Cells 11:6, pages 1034.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.