Cart (Loading....) | Create Account
Close category search window

Characterization of degenerative mitral valve disease using morphologic analysis of real-time 3D echocardiographic images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

8 Author(s)
Chandra, S. ; Univ. of Chicago, Chicago, IL, USA ; Salgo, I.S. ; Sugeng, L. ; Weinert, L.
more authors

Pre-surgical planning of mitral valve (MV) repair in patients with Barlow's disease (BD) and fibroelastic deficiency (FED) is challenging due to inability to accurately assess the complexity of MV prolapse. We hypothesized that the etiology of degenerative MV disease (DMVD) could be objectively and accurately determined using morphologic analysis of MV geometry from real-time 3D echocardiographic (RT3DE) images. Seventy-seven patients underwent transesophageal RT3DE study: 57 patients with DMVD studied intra-operatively (28 BD, 29 FED classified during surgery) and 20 patients with normal MV who were used as controls (NL). Parameters of annular dimensions and geometry, and leaflet surface area were measured. Morphologic analysis in the DMVD group revealed a progressive increase in multiple parameters from NL to FED to BD, allowing for accurate diagnosis of these entities. Strongest predictors of the presence of DMVD included billowing height and volume. 3D billowing height with a cutoff value of 1.0 mm differentiated DMVD from NL without overlap, and billowing volume with a cutoff value 1.15 ml differentiated between FED and BD without overlap. Morphologic analysis as a form of decision support of assessing MV billowing revealed significant quantifiable differences between NL, FED and Barlow, allowing accurate classification of the etiology of MV prolapse and determination of the anticipated complexity of repair.

Published in:

Computing in Cardiology, 2010

Date of Conference:

26-29 Sept. 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.