Key result
A 4D trajectory-based geometric morphometrics approach performed better than traditional 3D speckle tracking echocardiography global parameters in recognizing hypertrophic cardiomyopathy.
Why the study?
Does a 4D trajectory-based geometric morphometric approach improve the detection of abnormal left ventricular dynamics in hypertrophic cardiomyopathy compared to traditional 3D speckle tracking echocardiography?
Case-Control (n=75)
No
Does a 4D trajectory-based geometric morphometric approach improve the detection of abnormal left ventricular dynamics in hypertrophic cardiomyopathy compared to traditional 3D speckle tracking echocardiography?
p-value: p=0.001
A novel 4D trajectory-based shape analysis of the left ventricle outperforms traditional 3D speckle tracking in detecting hypertrophic cardiomyopathy, including early diastolic abnormalities in genotype-positive/phenotype-negative individuals.
The assessment of left ventricular shape changes during cardiac revolution may be a new step in clinical cardiology to ease early diagnosis and treatment. To quantify these changes, only point registration was adopted and neither Generalized Procrustes Analysis nor Principal Component Analysis were applied as we did previously to study a group of healthy subjects. Here, we extend to patients affected by hypertrophic cardiomyopathy the original approach and preliminarily include genotype positive/phenotype negative individuals to explore the potential that incumbent pathology might also be detected. Using 3D Speckle Tracking Echocardiography, we recorded left ventricular shape of 48 healthy subjects, 24 patients affected by hypertrophic cardiomyopathy and 3 genotype positive/phenotype negative individuals. We then applied Generalized Procrustes Analysis and Principal Component Analysis and inter-individual differences were cleaned by Parallel Transport performed on the tangent space, along the horizontal geodesic, between the per-subject consensuses and the grand mean. Endocardial and epicardial layers were evaluated separately, different from many ecocardiographic applications. Under a common Principal Component Analysis, we then evaluated left ventricle morphological changes (at both layers) explained by first Principal Component scores. Trajectories' shape and orientation were investigated and contrasted. Logistic regression and Receiver Operating Characteristic curves were used to compare these morphometric indicators with traditional 3D Speckle Tracking Echocardiography global parameters. Geometric morphometrics indicators performed better than 3D Speckle Tracking Echocardiography global parameters in recognizing pathology both in systole and diastole. Genotype positive/phenotype negative individuals clustered with patients affected by hypertrophic cardiomyopathy during diastole, suggesting that incumbent pathology may indeed be foreseen by these methods. Left ventricle deformation in patients affected by hypertrophic cardiomyopathy compared to healthy subjects may be assessed by modern shape analysis better than by traditional 3D Speckle Tracking Echocardiography global parameters. Hypertrophic cardiomyopathy pathophysiology was unveiled in a new manner whereby also diastolic phase abnormalities are evident which is more difficult to investigate by traditional ecocardiographic techniques.
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Madeo et al. (2015) conducted a case-control in Hypertrophic Cardiomyopathy (n=75). 4D Trajectory-Based Geometric Morphometrics vs. Traditional 3D Speckle Tracking Echocardiography was evaluated on Discrimination of hypertrophic cardiomyopathy pathology (p=0.001). A 4D trajectory-based geometric morphometrics approach performed better than traditional 3D speckle tracking echocardiography global parameters in recognizing hypertrophic cardiomyopathy.
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