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Atlas-based quantification of cardiac remodeling due to myocardial infarction.

Zhang X, Cowan BR, Bluemke DA, Finn JP, Fonseca CG, Kadish AH, Lee DC, Lima JA, Suinesiaputra A, Young AA, Medrano-Gracia P - PLoS ONE (2014)

Bottom Line: Goodness of fit results obtained from end-diastolic and end-systolic shapes were compared against the traditional clinical indices of remodeling: end-diastolic volume, end-systolic volume and LV mass.The combination of end-diastolic and end-systolic shape parameter analysis achieved the lowest deviance, Akaike information criterion and Bayesian information criterion, and the highest area under the receiver operating characteristic curve.These features enable quantification of the amount of remodeling, the progression of disease over time, and the effect of treatments designed to reverse remodeling effects.

View Article: PubMed Central - PubMed

Affiliation: Department of Anatomy with Radiology, University of Auckland, Auckland, New Zealand.

ABSTRACT
Myocardial infarction leads to changes in the geometry (remodeling) of the left ventricle (LV) of the heart. The degree and type of remodeling provides important diagnostic information for the therapeutic management of ischemic heart disease. In this paper, we present a novel analysis framework for characterizing remodeling after myocardial infarction, using LV shape descriptors derived from atlas-based shape models. Cardiac magnetic resonance images from 300 patients with myocardial infarction and 1991 asymptomatic volunteers were obtained from the Cardiac Atlas Project. Finite element models were customized to the spatio-temporal shape and function of each case using guide-point modeling. Principal component analysis was applied to the shape models to derive modes of shape variation across all cases. A logistic regression analysis was performed to determine the modes of shape variation most associated with myocardial infarction. Goodness of fit results obtained from end-diastolic and end-systolic shapes were compared against the traditional clinical indices of remodeling: end-diastolic volume, end-systolic volume and LV mass. The combination of end-diastolic and end-systolic shape parameter analysis achieved the lowest deviance, Akaike information criterion and Bayesian information criterion, and the highest area under the receiver operating characteristic curve. Therefore, our framework quantitatively characterized remodeling features associated with myocardial infarction, better than current measures. These features enable quantification of the amount of remodeling, the progression of disease over time, and the effect of treatments designed to reverse remodeling effects.

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PCA first 14 modes using only shape vectors at ES.
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pone-0110243-g004: PCA first 14 modes using only shape vectors at ES.

Mentions: PCA was performed on the shape models at ED and ES as well as their combination (ED&ES). A scree plot [29] is given in Fig. 2 showing the cumulative variance explained by each mode. The shape variation described by each mode is shown in Fig. 3 for ED, Fig. 4 for ES, and Fig. 5 and Fig. 6 for ED&ES. Although most of the modes do not correspond with traditional shape measures, the first three modes in each case can be understood in terms of commonly used clinical measures of remodeling. Mode 1 explained 50% of the total variance at ED and 55% at ES. In both cases the first mode was primarily associated with the size of the LV. Mode 2 explained 10% of the total variance at ED and was primarily associated with the sphericity of the left ventricle. The third mode of ED was associated with mitral valve orientation. At ES the second mode accounting for 8% of the variance was associated with wall thickening. The third mode at ES was associated with sphericity. We retained 90% of the cumulative variance, which resulted in 13 modes at ED, 14 modes at ES and 20 modes for the ED&ES combination.


Atlas-based quantification of cardiac remodeling due to myocardial infarction.

Zhang X, Cowan BR, Bluemke DA, Finn JP, Fonseca CG, Kadish AH, Lee DC, Lima JA, Suinesiaputra A, Young AA, Medrano-Gracia P - PLoS ONE (2014)

PCA first 14 modes using only shape vectors at ES.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4215861&req=5

pone-0110243-g004: PCA first 14 modes using only shape vectors at ES.
Mentions: PCA was performed on the shape models at ED and ES as well as their combination (ED&ES). A scree plot [29] is given in Fig. 2 showing the cumulative variance explained by each mode. The shape variation described by each mode is shown in Fig. 3 for ED, Fig. 4 for ES, and Fig. 5 and Fig. 6 for ED&ES. Although most of the modes do not correspond with traditional shape measures, the first three modes in each case can be understood in terms of commonly used clinical measures of remodeling. Mode 1 explained 50% of the total variance at ED and 55% at ES. In both cases the first mode was primarily associated with the size of the LV. Mode 2 explained 10% of the total variance at ED and was primarily associated with the sphericity of the left ventricle. The third mode of ED was associated with mitral valve orientation. At ES the second mode accounting for 8% of the variance was associated with wall thickening. The third mode at ES was associated with sphericity. We retained 90% of the cumulative variance, which resulted in 13 modes at ED, 14 modes at ES and 20 modes for the ED&ES combination.

Bottom Line: Goodness of fit results obtained from end-diastolic and end-systolic shapes were compared against the traditional clinical indices of remodeling: end-diastolic volume, end-systolic volume and LV mass.The combination of end-diastolic and end-systolic shape parameter analysis achieved the lowest deviance, Akaike information criterion and Bayesian information criterion, and the highest area under the receiver operating characteristic curve.These features enable quantification of the amount of remodeling, the progression of disease over time, and the effect of treatments designed to reverse remodeling effects.

View Article: PubMed Central - PubMed

Affiliation: Department of Anatomy with Radiology, University of Auckland, Auckland, New Zealand.

ABSTRACT
Myocardial infarction leads to changes in the geometry (remodeling) of the left ventricle (LV) of the heart. The degree and type of remodeling provides important diagnostic information for the therapeutic management of ischemic heart disease. In this paper, we present a novel analysis framework for characterizing remodeling after myocardial infarction, using LV shape descriptors derived from atlas-based shape models. Cardiac magnetic resonance images from 300 patients with myocardial infarction and 1991 asymptomatic volunteers were obtained from the Cardiac Atlas Project. Finite element models were customized to the spatio-temporal shape and function of each case using guide-point modeling. Principal component analysis was applied to the shape models to derive modes of shape variation across all cases. A logistic regression analysis was performed to determine the modes of shape variation most associated with myocardial infarction. Goodness of fit results obtained from end-diastolic and end-systolic shapes were compared against the traditional clinical indices of remodeling: end-diastolic volume, end-systolic volume and LV mass. The combination of end-diastolic and end-systolic shape parameter analysis achieved the lowest deviance, Akaike information criterion and Bayesian information criterion, and the highest area under the receiver operating characteristic curve. Therefore, our framework quantitatively characterized remodeling features associated with myocardial infarction, better than current measures. These features enable quantification of the amount of remodeling, the progression of disease over time, and the effect of treatments designed to reverse remodeling effects.

Show MeSH
Related in: MedlinePlus