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Article ; Online: Radiomics-based detection of acute myocardial infarction on noncontrast enhanced midventricular short-axis cine CMR images.

Vande Berg, Baptiste / De Keyzer, Frederik / Cernicanu, Alexandru / Claus, Piet / Masci, Pier Giorgio / Bogaert, Jan / Dresselaers, Tom

The international journal of cardiovascular imaging

2024

Abstract: Cardiac magnetic resonance cine images are primarily used to evaluate functional consequences, whereas limited information is extracted from the noncontrast pixel-wise myocardial signal intensity pattern. In this study we want to assess whether ... ...

Abstract	Cardiac magnetic resonance cine images are primarily used to evaluate functional consequences, whereas limited information is extracted from the noncontrast pixel-wise myocardial signal intensity pattern. In this study we want to assess whether characterizing this inherent contrast pattern of noncontrast-enhanced short axis (SAX) cine images via radiomics is sufficient to distinguish subjects with acute myocardial infarction (AMI) from controls. Cine balanced steady-state free-precession images acquired at 1.5 T from 99 AMI and 49 control patients were included. First, radiomic feature extraction of the left ventricular myocardium of end-diastolic (ED) and end-systolic (ES) frames was performed based on automated (AUTO) or manually corrected (MAN) segmentations. Next, top features were selected based on optimal classification results using a support vector machine (SVM) approach. The classification performances of the four radiomics models (using AUTO or MAN segmented ED or ES images), were measured by AUC, classification accuracy (CA), F1-score, sensitivity and specificity. The most accurate model was found when combining the features RunLengthNonUniformity, ClusterShade and Median obtained from the manually segmented ES images (CA = 0.846, F1 score = 0.847). ED analysis performed worse than ES, with lower CA and F1 scores (0.769 and 0.770, respectively). Manual correction of automated contours resulted in similar model features as the automated segmentations and did not improve classification results. A radiomics analysis can capture the inherent contrast in noncontrast mid-ventricular SAX cine images to distinguishing AMI from healthy subjects. The ES radiomics model was more accurate than the ED model. Manual correction of the autosegmentation did not provide significant classification improvements.
Language	English
Publishing date	2024-04-17
Publishing country	United States
Document type	Journal Article
ZDB-ID	2055311-0
ISSN	1875-8312 ; 1573-0743 ; 1569-5794 ; 0167-9899
ISSN (online)	1875-8312 ; 1573-0743
ISSN	1569-5794 ; 0167-9899
DOI	10.1007/s10554-024-03089-9
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Zs.A 2104: Show issues

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Article: Feature-based clustering of the left ventricular strain curve for cardiovascular risk stratification in the general population.

Ntalianis, Evangelos / Cauwenberghs, Nicholas / Sabovčik, František / Santana, Everton / Haddad, Francois / Claus, Piet / Kuznetsova, Tatiana

Frontiers in cardiovascular medicine

2023 Volume 10, Page(s) 1263301

Abstract: Objective: Identifying individuals with subclinical cardiovascular (CV) disease could improve monitoring and risk stratification. While peak left ventricular (LV) systolic strain has emerged as a strong prognostic factor, few studies have analyzed the ... ...

Abstract	Objective: Identifying individuals with subclinical cardiovascular (CV) disease could improve monitoring and risk stratification. While peak left ventricular (LV) systolic strain has emerged as a strong prognostic factor, few studies have analyzed the whole temporal profiles of the deformation curves during the complete cardiac cycle. Therefore, in this longitudinal study, we applied an unsupervised machine learning approach based on time-series-derived features from the LV strain curve to identify distinct strain phenogroups that might be related to the risk of adverse cardiovascular events in the general population. Method: We prospectively studied 1,185 community-dwelling individuals (mean age, 53.2 years; 51.3% women), in whom we acquired clinical and echocardiographic data including LV strain traces at baseline and collected adverse events on average 9.1 years later. A Gaussian Mixture Model (GMM) was applied to features derived from LV strain curves, including the slopes during systole, early and late diastole, peak strain, and the duration and height of diastasis. We evaluated the performance of the model using the clinical characteristics of the participants and the incidence of adverse events in the training dataset. To ascertain the validity of the trained model, we used an additional community-based cohort ( Results: The most appropriate number of clusters to separate the LV strain curves was four. In clusters 1 and 2, we observed differences in age and heart rate distributions, but they had similarly low prevalence of CV risk factors. Cluster 4 had the worst combination of CV risk factors, and a higher prevalence of LV hypertrophy and diastolic dysfunction than in other clusters. In cluster 3, the reported values were in between those of strain clusters 2 and 4. Adjusting for traditional covariables, we observed that clusters 3 and 4 had a significantly higher risk for CV (28% and 20%, Conclusion: Employing a GMM on features derived from the raw LV strain curves, we extracted clinically significant phenogroups which could provide additive prognostic information over the peak LV strain.
Language	English
Publishing date	2023-11-30
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2781496-8
ISSN	2297-055X
ISSN	2297-055X
DOI	10.3389/fcvm.2023.1263301
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Article ; Online: Electric Field-Based Spatial Analysis of Noncontact Unipolar Electrograms to Map Regional Activation-Repolarization Intervals.

Vermoortele, Dylan / Amoni, Matthew / Ingelaere, Sebastian / Sipido, Karin R / Willems, Rik / Claus, Piet

JACC. Clinical electrophysiology

2023 Volume 9, Issue 8 Pt 1, Page(s) 1217–1231

Abstract: Background: Spatial heterogeneity in repolarization plays an important role in generating and sustaining cardiac arrhythmias. Reliable determination of repolarization times remains challenging.: Objectives: The goal of this study was to improve ... ...

Abstract	Background: Spatial heterogeneity in repolarization plays an important role in generating and sustaining cardiac arrhythmias. Reliable determination of repolarization times remains challenging. Objectives: The goal of this study was to improve processing of densely sampled noncontact unipolar electrograms to yield reliable high-resolution activation and repolarization maps. Methods: Endocardial noncontact unipolar electrograms were both simulated and recorded in pig left ventricle. Electrical activity on the endocardial surface was processed in terms of a pseudo-electric field. Activation and repolarization times were calculated by using an amplitude-weighted average on QRS and T waves (ie, the E-field method). This was compared vs the conventional Wyatt method on unipolar electrograms. Timing maps were validated against timing on endocardial action potentials in a simulation study. In vivo, activation and repolarization times determined by using this alternative E-field method were validated against simultaneously recorded endocardial monophasic action potentials (MAPs). Results: Simulation showed that the E-field method provides viable measurements of local endocardial action potential activation and repolarization times. In vivo, correlation of E-field activation times with MAP activation times (r Conclusions: The E-field method substantially enhances information from endocardial noncontact electrogram data, allowing for dense maps of activation and repolarization times and derived parameters.
MeSH term(s)	Animals ; Swine ; Heart Ventricles ; Arrhythmias, Cardiac/diagnosis ; Action Potentials/physiology ; Endocardium/physiology
Language	English
Publishing date	2023-03-22
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2846739-5
ISSN	2405-5018 ; 2405-500X ; 2405-500X
ISSN (online)	2405-5018 ; 2405-500X
ISSN	2405-500X
DOI	10.1016/j.jacep.2023.02.004
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Article ; Online: Unsupervised Time-Series Clustering of Left Atrial Strain for Cardiovascular Risk Assessment.

Ntalianis, Evangelos / Sabovčik, František / Cauwenberghs, Nicholas / Kouznetsov, Dmitry / Daels, Yne / Claus, Piet / Kuznetsova, Tatiana

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography

2023 Volume 36, Issue 7, Page(s) 778–787

Abstract: Background: Early identification of individuals at high risk for developing cardiovascular (CV) events is of paramount importance for efficient risk management. Here, the authors investigated whether using unsupervised machine learning methods on time- ... ...

Abstract	Background: Early identification of individuals at high risk for developing cardiovascular (CV) events is of paramount importance for efficient risk management. Here, the authors investigated whether using unsupervised machine learning methods on time-series data of left atrial (LA) strain could distinguish clinically meaningful phenogroups associated with the risk for developing adverse events. Methods: In 929 community-dwelling individuals (mean age, 51.6 years; 52.9% women), clinical and echocardiographic data were acquired, including LA strain traces, at baseline, and cardiac events were collected on average 6.3 years later. Two unsupervised learning techniques were used: (1) an ensemble of a deep convolutional neural network autoencoder with k-medoids and (2) a self-organizing map to cluster spatiotemporal patterns within LA strain curves. Clinical characteristics and cardiac outcome were used to evaluate the validity of the k clusters using the original cohort, while an external population cohort (n = 378) was used to validate the trained models. Results: In both approaches, the optimal number of clusters was five. The first three clusters had differences in sex distribution and heart rate but had a similar low CV risk profile. On the other hand, cluster 5 had the worst CV profile and a higher prevalence of left ventricular remodeling and diastolic dysfunction compared with the other clusters. The respective indexes of cluster 4 were between those of clusters 1 to 3 and 5. After adjustment for traditional risk factors, cluster 5 had the highest risk for cardiac events compared with clusters 1, 2, and 3 (hazard ratio, 1.36; 95% CI, 1.09-1.70; P = .0063). Similar LA strain patterns were obtained when the models were applied to the external validation cohort, and clinical characteristics revealed similar CV risk profiles across all clusters. Conclusion: Unsupervised machine learning algorithms used in time-series LA strain curves identified clinically meaningful clusters of LA deformation and provide incremental prognostic information over traditional risk factors.
MeSH term(s)	Humans ; Female ; Middle Aged ; Male ; Atrial Fibrillation ; Cardiovascular Diseases/diagnostic imaging ; Cardiovascular Diseases/epidemiology ; Risk Factors ; Risk Assessment ; Heart Disease Risk Factors ; Cluster Analysis ; Ventricular Function, Left
Language	English
Publishing date	2023-03-22
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1035622-8
ISSN	1097-6795 ; 0894-7317
ISSN (online)	1097-6795
ISSN	0894-7317
DOI	10.1016/j.echo.2023.03.007
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Zs.A 2638: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
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Article ; Online: Use of 3D anatomical models in mock circulatory loops for cardiac medical device testing.

Rocchi, Maria / Ingram, Marcus / Claus, Piet / D'hooge, Jan / Meyns, Bart / Fresiello, Libera

Artificial organs

2022 Volume 47, Issue 2, Page(s) 260–272

Abstract: Introduction: Mock circulatory loops (MCLs) are mechanical representations of the cardiovascular system largely used to test the hemodynamic performance of cardiovascular medical devices (MD). Thanks to 3 dimensional (3D) printing technologies, MCLs can ...

Abstract	Introduction: Mock circulatory loops (MCLs) are mechanical representations of the cardiovascular system largely used to test the hemodynamic performance of cardiovascular medical devices (MD). Thanks to 3 dimensional (3D) printing technologies, MCLs can nowadays also incorporate anatomical models so to offer enhanced testing capabilities. The aim of this review is to provide an overview on MCLs and to discuss the recent developments of 3D anatomical models for cardiovascular MD testing. Methods: The review first analyses the different techniques to develop 3D anatomical models, in both rigid and compliant materials. In the second section, the state of the art of MCLs with 3D models is discussed, along with the testing of different MDs: implantable blood pumps, heart valves, and imaging techniques. For each class of MD, the MCL is analyzed in terms of: the cardiovascular model embedded, the 3D model implemented (the anatomy represented, the material used, and the activation method), and the testing applications. Discussions and conclusions: MCLs serve the purpose of testing cardiovascular MDs in different (patho-)physiological scenarios. The addition of 3D anatomical models enables more realistic connections of the MD with the implantation site and enhances the testing capabilities of the MCL. Current attempts focus on the development of personalized MCLs to test MDs in patient-specific hemodynamic and anatomical scenarios. The main limitation of MCLs is the impossibility to assess the impact of a MD in the long-term and at a biological level, for which animal experiments are still needed.
MeSH term(s)	Heart Valves ; Hemodynamics ; Printing, Three-Dimensional ; Lung ; Models, Anatomic ; Models, Cardiovascular
Language	English
Publishing date	2022-11-12
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	441812-8
ISSN	1525-1594 ; 0160-564X
ISSN (online)	1525-1594
ISSN	0160-564X
DOI	10.1111/aor.14433
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Zs.A 1463: Show issues

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Article ; Online: Noninvasive Estimation of the Severity of Aortic Stenosis: Going Beyond Bernoulli.

Fraser, Alan G / Claus, Piet

Circulation. Cardiovascular imaging

2017 Volume 10, Issue 1

MeSH term(s)	Aortic Valve ; Aortic Valve Stenosis ; Humans
Language	English
Publishing date	2017-01-13
Publishing country	United States
Document type	Editorial ; Comment
ZDB-ID	2435045-X
ISSN	1942-0080 ; 1941-9651
ISSN (online)	1942-0080
ISSN	1941-9651
DOI	10.1161/CIRCIMAGING.116.005967
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Article ; Online: Matthew Amoni (March 13, 1991-October 3, 2022).

Sipido, Karin R / Willems, Rik / Claus, Piet / Mubagwa, Kanigula / Kelly-Laubscher, Roisin / Katz, Arieh A / Gwanyanya, Asfree

Heart rhythm

2023 Volume 20, Issue 5, Page(s) 793–794

Language	English
Publishing date	2023-04-17
Publishing country	United States
Document type	Journal Article
ZDB-ID	2229357-7
ISSN	1556-3871 ; 1547-5271
ISSN (online)	1556-3871
ISSN	1547-5271
DOI	10.1016/j.hrthm.2023.03.012
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Article ; Online: Right ventricular suction: an important determinant of cardiac performance.

La Gerche, André / Claus, Piet

Cardiovascular research

2015 Volume 107, Issue 1, Page(s) 7–8

MeSH term(s)	Animals ; Myocardial Contraction ; Ventricular Function, Right
Language	English
Publishing date	2015-07-01
Publishing country	England
Document type	Comment ; Editorial
ZDB-ID	80340-6
ISSN	1755-3245 ; 0008-6363
ISSN (online)	1755-3245
ISSN	0008-6363
DOI	10.1093/cvr/cvv165
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Article ; Online: Dynamic aspects of ventricular interaction during exercise in HFpEF and in pre-capillary pulmonary hypertension.

Claeys, Mathias / Petit, Thibault / Bogaert, Jan / La Gerche, Andre / Los, Jan / Delcroix, Marion / Willems, Rik / Claessen, Guido / Claus, Piet

ESC heart failure

2022 Volume 10, Issue 1, Page(s) 650–660

Abstract: Aims: The contribution of adverse ventricular interdependence remains undervalued in heart failure or pulmonary vascular disease, and not much is known about its dynamic nature during exercise and respiration. In this study, we evaluated ventricular ... ...

Abstract	Aims: The contribution of adverse ventricular interdependence remains undervalued in heart failure or pulmonary vascular disease, and not much is known about its dynamic nature during exercise and respiration. In this study, we evaluated ventricular interaction during exercise in patients with heart failure with preserved ejection fraction (HFpEF) and patients with chronic thromboembolic pulmonary hypertension (CTEPH) as compared with healthy controls. Methods and results: Forty-six subjects (10 controls, 19 CTEPH patients, and 17 HFpEF patients) underwent cardiac magnetic resonance imaging during exercise. Ventricular interaction was determined through analysis of the septal curvature (SC) of a mid-ventricular short-axis slice at end-diastole, end-systole, and early-diastole, both in expiration and inspiration. Exercise amplified ventricular interaction in CTEPH patients and to a lesser extent in HFpEF patients (P < 0.05 for decrease in SC with exercise). Adverse interaction was most profound in early-diastole and most pronounced in CTEPH patients (P < 0.05 interaction group * exercise) because of a disproportionate increase RV afterload (P < 0.05 to both controls and HFpEF) and diastolic pericardial restraint (P < 0.001 for interaction group * exercise) during exercise. Inspiration enhanced diastolic interdependence in CTEPH and HFpEF patients (P < 0.05 vs. expiration). Both at rest and during exercise, SC strongly correlated with RV volumes and pulmonary artery pressures (all P < 0.05). Conclusions: Exercise amplifies adverse right-left ventricular interactions in CTEPH, while a more moderate effect is observed in isolated post-capillary HFpEF. Given the strong link with RV function and pulmonary hemodynamic, assessing ventricular interaction with exCMR might be valuable from a diagnostic or therapeutic perspective.
MeSH term(s)	Humans ; Hypertension, Pulmonary/etiology ; Stroke Volume ; Pulmonary Artery ; Heart Failure ; Vascular Diseases
Language	English
Publishing date	2022-11-24
Publishing country	England
Document type	Journal Article
ZDB-ID	2814355-3
ISSN	2055-5822 ; 2055-5822
ISSN (online)	2055-5822
ISSN	2055-5822
DOI	10.1002/ehf2.14216
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Article ; Online: An interventional sheep model of severe aortic valve stenosis hemodynamics for the evaluation of alterations in coronary physiology and microvascular function.

Minten, Lennert / Langenaeken, Tom / McCutcheon, Keir / Bennett, Johan / Van Hecke, Manon / Algoet, Michiel / Bézy, Stéphanie / Duchenne, Jürgen / Puvrez, Alexis / Wouters, Laurine / Voigt, Jens-Uwe / Adriaenssens, Tom / Desmet, Walter / Sinnaeve, Peter / Verbrugghe, Peter / Oosterlinck, Wouter / Claus, Piet / Meuris, Bart / Dubois, Christophe

Journal of applied physiology (Bethesda, Md. : 1985)

2024 Volume 136, Issue 3, Page(s) 606–617

Abstract: We aimed to develop a large animal model of subcoronary aortic stenosis (AS) to study intracoronary and microcirculatory hemodynamics. A total of three surgical techniques inducing AS were evaluated in 12 sheep. Suturing the leaflets together around a ... ...

Abstract	We aimed to develop a large animal model of subcoronary aortic stenosis (AS) to study intracoronary and microcirculatory hemodynamics. A total of three surgical techniques inducing AS were evaluated in 12 sheep. Suturing the leaflets together around a dilator (
MeSH term(s)	Animals ; Sheep ; Microcirculation ; Coronary Circulation ; Fractional Flow Reserve, Myocardial ; Hemodynamics ; Aortic Valve Stenosis/surgery ; Coronary Artery Disease ; Coronary Stenosis/surgery ; Coronary Stenosis/diagnosis
Language	English
Publishing date	2024-02-08
Publishing country	United States
Document type	Journal Article
ZDB-ID	219139-8
ISSN	1522-1601 ; 0021-8987 ; 0161-7567 ; 8750-7587
ISSN (online)	1522-1601
ISSN	0021-8987 ; 0161-7567 ; 8750-7587
DOI	10.1152/japplphysiol.00737.2023
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