loading page

Imaging approach to COVID-19 Associated Pulmonary Embolism
  • +5
  • Lukas Trunz,
  • Patrick Lee,
  • Steven Lange,
  • Corbin Pomeranz,
  • Laurence Needleman,
  • Robert Ford,
  • Ajit Karambelkar,
  • Baskaran Sundaram
Lukas Trunz
Thomas Jefferson University Hospital

Corresponding Author:lmt013@jefferson.edu

Author Profile
Patrick Lee
Thomas Jefferson University Hospital
Author Profile
Steven Lange
Thomas Jefferson University Hospital
Author Profile
Corbin Pomeranz
Thomas Jefferson University Hospital
Author Profile
Laurence Needleman
Thomas Jefferson University Hospital
Author Profile
Robert Ford
Thomas Jefferson University Hospital
Author Profile
Ajit Karambelkar
Thomas Jefferson University Hospital
Author Profile
Baskaran Sundaram
Thomas Jefferson University Hospital
Author Profile

Abstract

The novel coronavirus disease-2019 (COVID-19) illness and deaths, caused by the severe acute respiratory syndrome coronavirus-2, continue to increase. Multiple reports highlight the thromboembolic complications, such as pulmonary embolism (PE), in COVID-19. Imaging plays an essential role in the diagnosis and management of COVID-19 patients with PE. There continues to be a rapid evolution of knowledge related to COVID-19 associated PE. This review summarizes the current understanding of prevalence, pathophysiology, role of diagnostic imaging modalities, and management, including catheter-directed therapy for COVID-19 associated PE. It also describes infection control considerations for the radiology department while providing care for patients with COVID-19 associated PE.
25 Mar 2021Submitted to International Journal of Clinical Practice
26 Mar 2021Submission Checks Completed
26 Mar 2021Assigned to Editor
26 Mar 2021Reviewer(s) Assigned
19 Apr 2021Review(s) Completed, Editorial Evaluation Pending
20 Apr 20211st Revision Received
21 Apr 2021Submission Checks Completed
21 Apr 2021Assigned to Editor
26 Apr 2021Reviewer(s) Assigned
02 May 2021Review(s) Completed, Editorial Evaluation Pending
04 May 2021Editorial Decision: Accept