Surgical Embolectomy for Acute Massive and Submassive Pulmonary Embolism in a Series of 115 Patients Robert C. Neely, MD, John G. Byrne, MD, Igor Gosev, MD, Lawrence H. Cohn, MD, Quratulain Javed, MD, James D. Rawn, MD, Samuel Z. Goldhaber, MD, Gregory Piazza, MD, Sary F. Aranki, MD, Prem S. Shekar, MD, Marzia Leacche, MD The Annals of Thoracic Surgery Volume 100, Issue 4, Pages 1245-1252 (October 2015) DOI: 10.1016/j.athoracsur.2015.03.111 Copyright © 2015 The Society of Thoracic Surgeons Terms and Conditions
Fig 1 Computed tomography angiogram showing central pulmonary embolism. The Annals of Thoracic Surgery 2015 100, 1245-1252DOI: (10.1016/j.athoracsur.2015.03.111) Copyright © 2015 The Society of Thoracic Surgeons Terms and Conditions
Fig 2 Algorithm for diagnosis and treatment of pulmonary embolism using Vanderbilt classification. Reprinted from Greelish et al [16], with permission from Elsevier. (CT = computed tomography; Echo = echocardiography; ICU = intensive care unit; MI = myocardial infarction; R/O = rule out; RV = right ventricle; SOB = shortness of breath.) The Annals of Thoracic Surgery 2015 100, 1245-1252DOI: (10.1016/j.athoracsur.2015.03.111) Copyright © 2015 The Society of Thoracic Surgeons Terms and Conditions
Fig 3 Kaplan-Meier survival curves comparing massive pulmonary embolism (PE) group (blue line) and submassive PE group (green line), n = 105 (p = 0.018). Blue hatch marks indicate massive PE censored; green hatch marks indicate submassive PE censored. The Annals of Thoracic Surgery 2015 100, 1245-1252DOI: (10.1016/j.athoracsur.2015.03.111) Copyright © 2015 The Society of Thoracic Surgeons Terms and Conditions