Document Detail


Characterization of degenerative mitral valve disease using morphologic analysis of real-time three-dimensional echocardiographic images: objective insight into complexity and planning of mitral valve repair.
MedLine Citation:
PMID:  20884831     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Background- Presurgical planning of mitral valve (MV) repair in patients with Barlow disease (BD) and fibroelastic deficiency (FED) is challenging because of the inability to assess accurately the complexity of MV prolapse. We hypothesized that the etiology of degenerative MV disease (DMVD) could be objectively and accurately ascertained using parameters of MV geometry obtained by morphological analysis of real-time 3D echocardiographic (RT3DE) images. Methods and Results- Seventy-seven patients underwent transesophageal RT3DE study: 57 patients with DMVD studied intraoperatively (28 BD, 29 FED classified during surgery) and 20 patients with normal MV who were used as control subjects (NL). MVQ software (Philips) was used to measure parameters of annular dimensions and geometry and leaflet surface area, including billowing volume and height. The Student t test and multinomial logistic regression was performed to identify parameters best differentiating DMVD patients from normal as well as FED from BD. Morphological 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. The strongest predictors of the presence of DMVD included billowing height and volume. Three-dimensional 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. Conclusions- Morphological analysis as a form of decision support in assessing MV billowing revealed significant quantifiable differences between NL, FED, and BD patients, allowing accurate classification of the etiology of MV prolapse and determination of the anticipated complexity of repair.
Authors:
Sonal Chandra; Ivan S Salgo; Lissa Sugeng; Lynn Weinert; Wendy Tsang; Masaaki Takeuchi; Kirk T Spencer; Anne O'Connor; Michael Cardinale; Scott Settlemier; Victor Mor-Avi; Roberto M Lang
Publication Detail:
Type:  Journal Article     Date:  2010-09-30
Journal Detail:
Title:  Circulation. Cardiovascular imaging     Volume:  4     ISSN:  1942-0080     ISO Abbreviation:  Circ Cardiovasc Imaging     Publication Date:  2011 Jan 
Date Detail:
Created Date:  2011-01-19     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101479935     Medline TA:  Circ Cardiovasc Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  24-32     Citation Subset:  IM    
Affiliation:
University of Chicago Medical Center, Chicago, Ill; Philips Healthcare, Andover, Mass; and the University of Occupational and Environmental Health, School of Medicine, Kitakyushu, Japan.
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