Korean J Intern Med.  2014 Nov;29(6):685-702. 10.3904/kjim.2014.29.6.685.

Role of modern 3D echocardiography in valvular heart disease

Affiliations
  • 1Department of Medicine, Heart Institute, Cedars-Sinai Medical Center and University of California, Los Angeles, Los Angeles, CA, USA. takahiro.shiota@cshs.org

Abstract

Three-dimensional (3D) echocardiography has been conceived as one of the most promising methods for the diagnosis of valvular heart disease, and recently has become an integral clinical tool thanks to the development of high quality real-time transesophageal echocardiography (TEE). In particular, for mitral valve diseases, this new approach has proven to be the most unique, powerful, and convincing method for understanding the complicated anatomy of the mitral valve and its dynamism. The method has been useful for surgical management, including robotic mitral valve repair. Moreover, this method has become indispensable for nonsurgical mitral procedures such as edge to edge mitral repair and transcatheter closure of paravaluvular leaks. In addition, color Doppler 3D echo has been valuable to identify the location of the regurgitant orifice and the severity of the mitral regurgitation. For aortic and tricuspid valve diseases, this method may not be quite as valuable as for the mitral valve. However, the necessity of 3D echo is recognized for certain situations even for these valves, such as for evaluating the aortic annulus for transcatheter aortic valve implantation. It is now clear that this method, especially with the continued development of real-time 3D TEE technology, will enhance the diagnosis and management of patients with these valvular heart diseases.

Keyword

Echocardigraphy; Mitral valve; Aortic valve; Three-dimensional

MeSH Terms

*Echocardiography, Doppler, Color
*Echocardiography, Three-Dimensional
*Echocardiography, Transesophageal
Heart Valve Diseases/physiopathology/therapy/*ultrasonography
Heart Valves/physiopathology/*ultrasonography
Humans
Predictive Value of Tests
Prognosis
Severity of Illness Index
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