Abstract

PURPOSE

We aimed to evaluate the utility of cardiac magnetic resonance imaging (MRI) for the diagnosis of infective endocarditis (IE).

METHODS

Sixteen patients with a preliminary diagnosis of IE (10 women and six men; age range, 4-66 years) were referred for cardiac MRI. MRI sequences were as follows: echo-planar cine true fast imaging with steady-state precession (true-FISP), dark-blood fast spin echo T1-weighted imaging, T2-weighted imaging, dark-blood half-Fourier single shot turbo spin echo (HASTE), and early contrast-enhanced first-pass fast low-angle shot (FLASH). Delayed contrast-enhanced images were obtained using three-dimensional inversion recovery FLASH after 15±5 min. The MRI features were evaluated, including valvular pathologies on cine MRI and contrast enhancement on the walls of the cardiac chambers, major thoracic vasculature, and paravalvular tissue, attributable to endothelial extension of inflammation on contrast-enhanced images.

RESULTS

Fourteen valvular vegetations were detected in eleven patients on cardiac MRI. It was not possible to depict valvular vegetations in five patients. Vegetations were detected on the aortic valve (n=7), mitral valve (n=3), tricuspid and pulmonary valves (n=1). Delayed contrast enhancement attributable to extension of inflammation was observed on the aortic wall and aortic root (n=11), paravalvular tissue (n=4), mitral valve (n=2), walls of the cardiac chambers (n=6), interventricular septum (n=3), and wall of the pulmonary artery and superior mesenteric artery (n=1).

CONCLUSION

Valvular vegetation features of IE can be detected by MRI. Moreover, in the absence of vegetations, detection of delayed enhancement representing endothelial inflammation of the cardiovascular structures can contribute to the diagnosis and treatment planning of IE.

Details

Title
The utility of cardiac MRI in diagnosis of infective endocarditis: preliminary results
Author
Dursun, Memduh; Yilmaz, Sabri; Yilmaz, Erdem; Yilmaz, Ravza; Imran Onur; Oflaz, Hüseyin; Aygün Dindar
Pages
28-33
Section
Cardiovascular Imaging - Original Article
Publication year
2015
Publication date
Jan 2015
Publisher
Aves Yayincilik Ltd. STI.
ISSN
13053825
e-ISSN
13053612
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1676082381
Copyright
Copyright Aves Yayincilik Ltd. STI. Jan 2015