Thorough characterization of mitral valve (MV) is key for successful MV repair, and 3D echo is the first imaging modality for this purpose. To validate a new software (4DMVanalysis 2.3,TomTec, N) for semiautomatedMVquantitative analysis (MVQA),we acquired3D data sets of the MV (33+5 vps) in 53 volunteers (46+14 yrs; 31 M). Datasets were analyzed offline, in the same frames of the same cardiac cycle, with 2 Methods: 1. manual tracing, from sliced MV views (EchoPAC BT 12, GE, N); and 2. using the new software. MV annulus (MVA) projected area and circumference, anterior-posterior and lateralmedial diameters, and sphericity index were measured at MV closure–MVC; midsystole– MS; and end-systole–ES. Analysis time was 25+5’ with Method 1, and 7+2’with Method 2. There was a good agreement between the 2 methods for all parameters, with a trend for smaller values with method 1 (table). MVQA using a semiautomated software is accurate when compared to manual measurements performed on sliced 3D data set. However, automated software provides more comprehensive MVassessment, shortens analysis time, and needs less observer interaction.

Validation of a new, semiautomated software for quantitative assessment of the mitral annulus by three-dimensional echocardiography

MURARU, DENISA;PIASENTINI, ELEONORA;PELUSO, DILETTA MARIA;ILICETO, SABINO;BADANO, LUIGI
2013

Abstract

Thorough characterization of mitral valve (MV) is key for successful MV repair, and 3D echo is the first imaging modality for this purpose. To validate a new software (4DMVanalysis 2.3,TomTec, N) for semiautomatedMVquantitative analysis (MVQA),we acquired3D data sets of the MV (33+5 vps) in 53 volunteers (46+14 yrs; 31 M). Datasets were analyzed offline, in the same frames of the same cardiac cycle, with 2 Methods: 1. manual tracing, from sliced MV views (EchoPAC BT 12, GE, N); and 2. using the new software. MV annulus (MVA) projected area and circumference, anterior-posterior and lateralmedial diameters, and sphericity index were measured at MV closure–MVC; midsystole– MS; and end-systole–ES. Analysis time was 25+5’ with Method 1, and 7+2’with Method 2. There was a good agreement between the 2 methods for all parameters, with a trend for smaller values with method 1 (table). MVQA using a semiautomated software is accurate when compared to manual measurements performed on sliced 3D data set. However, automated software provides more comprehensive MVassessment, shortens analysis time, and needs less observer interaction.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11577/3223414
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