4 results on '"Teresi, Luciano"'
Search Results
2. 4D-Analysis of Left Ventricular Heart Cycle Using Procrustes Motion Analysis
- Author
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Piras, Paolo, primary, Evangelista, Antonietta, additional, Gabriele, Stefano, additional, Nardinocchi, Paola, additional, Teresi, Luciano, additional, Torromeo, Concetta, additional, Schiariti, Michele, additional, Varano, Valerio, additional, and Puddu, Paolo Emilio, additional
- Published
- 2014
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3. A new 4D trajectory-based approach unveils abnormal LV revolution dynamics in hypertrophic cardiomyopathy
- Author
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Federica Re, Stefano Gabriele, Claudia Chialastri, Paola Nardinocchi, Antonietta Evangelista, T.Dominici, Paolo Piras, Michele Schiariti, Paolo Emilio Puddu, Elisabetta Zachara, Luciano Teresi, Andrea Madeo, Valerio Varano, Concetta Torromeo, Geltrude Giura, Madeo, Andrea, Piras, Paolo, Re, Federica, Gabriele, Stefano, Nardinocchi, Paola, Teresi, Luciano, Torromeo, Concetta, Chialastri, Claudia, Schiariti, Michele, Giura, Geltrude, Evangelista, Antonietta, Dominici, Tania, Varano, Valerio, Zachara, Elisabetta, and Puddu, Paolo Emilio
- Subjects
Adult ,Male ,medicine.medical_specialty ,Genotype ,Heart Ventricles ,Diastole ,Echocardiography, Three-Dimensional ,Shape analysis, Geometric Morphometrics ,lcsh:Medicine ,Speckle tracking echocardiography ,Biology ,Internal medicine ,medicine ,Humans ,left ventricle ,morphometry ,hypertrophic cardiomyopathy ,Systole ,lcsh:Science ,Principal Component Analysis ,Multidisciplinary ,Receiver operating characteristic ,lcsh:R ,Hypertrophic cardiomyopathy ,Generalized Procrustes analysis ,Cardiomyopathy, Hypertrophic ,Middle Aged ,medicine.disease ,Healthy Volunteers ,medicine.anatomical_structure ,Phenotype ,ROC Curve ,Ventricle ,Principal component analysis ,Cardiology ,lcsh:Q ,Female ,Endocardium ,Research Article - Abstract
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.
- Published
- 2014
4. 4D-Analysis of Left Ventricular Heart Cycle Using Procrustes Motion Analysis
- Author
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Antonietta Evangelista, Luciano Teresi, Paola Nardinocchi, Paolo Piras, Stefano Gabriele, Michele Schiariti, Paolo Emilio Puddu, Concetta Torromeo, Valerio Varano, Piras, P, Evangelista, A, Gabriele, Stefano, Nardinocchi, P, Teresi, Luciano, Torromeo, C, Schiariti, M, Varano, V, and Puddu, P. E.
- Subjects
Adult ,Male ,Motion analysis ,Anatomy and Physiology ,Adolescent ,Heart Diseases ,left ventricle ,Science ,Cardiac Volume ,Heart Ventricles ,Movement ,Echocardiography, Three-Dimensional ,Speckle tracking echocardiography ,Biology ,Cardiovascular ,Cardiovascular System ,Ventricular Function, Left ,Diagnostic Radiology ,Morphometry ,cardiomechanics ,Humans ,Cardiovascular Imaging ,Twist ,Aged ,Morphometrics ,Principal Component Analysis ,Multidisciplinary ,Cardiac cycle ,business.industry ,Linear model ,Computational Biology ,Pattern recognition ,Middle Aged ,Echocardiography ,Principal component analysis ,Cardiovascular Anatomy ,Linear Models ,Medicine ,Female ,Artificial intelligence ,Radiology ,business ,Research Article ,Shape analysis (digital geometry) - Abstract
The aim of this study is to investigate human left ventricular heart morphological changes in time among 17 healthy subjects. Preliminarily, 2 patients with volumetric overload due to aortic insufficiency were added to our analyses. We propose a special strategy to compare the shape, orientation and size of cardiac cycle's morphological trajectories in time. We used 3D data obtained by Speckle Tracking Echocardiography in order to detect semi-automated and homologous landmarks clouds as proxies of left ventricular heart morphology. An extended Geometric Morphometrics toolkit in order to distinguish between intra- and inter-individual shape variations was used. Shape of trajectories with inter-individual variation were compared under the assumption that trajectories attributes, estimated at electrophysiologically homologous times are expressions of left ventricular heart function. We found that shape analysis as commonly applied in Geometric Morphometrics studies fails in identifying a proper morpho-space to compare the shape of morphological trajectories in time. To overcome this problem, we performed a special type of Riemannian Parallel Transport, called "linear shift". Whereas the two patients with aortic insufficiency were not differentiated in the static shape analysis from the healthy subjects, they set apart significantly in the analyses of motion trajectory's shape and orientation. We found that in healthy subjects, the variations due to inter-individual morphological differences were not related to shape and orientation of morphological trajectories. Principal Component Analysis showed that volumetric contraction, torsion and twist are differently distributed on different axes. Moreover, global shape change appeared to be more correlated with endocardial shape change than with the epicardial one. Finally, the total shape variation occurring among different subjects was significantly larger than that observable across properly defined morphological trajectories.
- Published
- 2014
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