Literature DB >> 31573114

Diagnostic value of transthoracic echocardiography and computerized tomography for surgically confirmed late tamponade after cardiac surgery.

Yasin Ay1, Nuray Kahraman Ay2.   

Abstract

BACKGROUND: Late tamponade after cardiac surgery is a clinically obscure condition presenting significant diagnostic challenges, since it may be difficult to detect using routine imaging studies. This study is aimed to investigate the diagnostic value of transthoracic echocardiography (TTE) and contrast-enhanced computerized tomography (cCT) in the diagnosis of late tamponade following open-heart surgery.
METHODS: A total of 88 patients who underwent reoperation after cardiac surgery with suspected late cardiac tamponade were included in this retrospective study. All the patients had TTE and cCT examinations before reoperation. The diagnostic values of these imaging modalities were investigated using surgically confirmed late tamponade as the standard.
RESULTS: The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of an optimal cutoff value of greater than 3.1 cm pericardial fluid thickness on cCT images for predicting surgically confirmed late tamponade were 91.4%, 66.6%, 97.4%, 36.3%, and 89.7%, respectively. Accordingly, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of TTE for the diagnosis of late tamponade were 34.1%, 50.0%, 90.3%, 5.2%, and 35.2%, respectively. The cCT provided false-negative results in seven patients (8%), while this figure was 54 (61.4%) for that of TTE.
CONCLUSION: Computerized tomography imaging seems to represent a superior imaging technique in terms of visualizing the intrapericardial fluid collections after cardiac surgery and has the potential to readily diagnose late tamponade and effectively prevent unnecessary morbidity and mortality.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  cardiac surgery; computerized tomography; late tamponade; transthoracic echocardiography

Mesh:

Year:  2019        PMID: 31573114     DOI: 10.1111/jocs.14269

Source DB:  PubMed          Journal:  J Card Surg        ISSN: 0886-0440            Impact factor:   1.620


  2 in total

1.  Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network.

Authors:  Adrian Jonathan Wilder-Smith; Shan Yang; Thomas Weikert; Jens Bremerich; Philip Haaf; Martin Segeroth; Lars C Ebert; Alexander Sauter; Raphael Sexauer
Journal:  Diagnostics (Basel)       Date:  2022-04-21

2.  Diagnostic performance of echocardiography to predict cardiac tamponade after cardiac surgery.

Authors:  Dennis F J Ellenbroek; Luc van Kessel; Wilma Compagner; Tim Brouwer; R Arthur Bouwman; Bart A H M van Straten; Luuk C Otterspoor; Ashley J R De Bie
Journal:  Eur J Cardiothorac Surg       Date:  2022-06-15       Impact factor: 4.534

  2 in total

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