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13. Mesh U-Nets for 3D Cardiac Deformation Modeling

Author

Beetz, Marcel, Acero, Jorge Corral, Banerjee, Abhirup, Eitel, Ingo, Zacur, Ernesto, Lange, Torben, Stiermaier, Thomas, Evertz, Ruben, Backhaus, Sören J., Thiele, Holger, Bueno-Orovio, Alfonso, Lamata, Pablo, Schuster, Andreas, Grau, Vicente, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Qin, Chen, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Wang, Shuo, editor, and Young, Alistair, editor

Published
2022
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14. Post-Infarction Risk Prediction with Mesh Classification Networks

Author

Beetz, Marcel, Acero, Jorge Corral, Banerjee, Abhirup, Eitel, Ingo, Zacur, Ernesto, Lange, Torben, Stiermaier, Thomas, Evertz, Ruben, Backhaus, Sören J., Thiele, Holger, Bueno-Orovio, Alfonso, Lamata, Pablo, Schuster, Andreas, Grau, Vicente, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Camara, Oscar, editor, Puyol-Antón, Esther, editor, Qin, Chen, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Wang, Shuo, editor, and Young, Alistair, editor

Published
2022
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19. Mesh U-Nets for 3D Cardiac Deformation Modeling

Author

Beetz, Marcel, primary, Acero, Jorge Corral, additional, Banerjee, Abhirup, additional, Eitel, Ingo, additional, Zacur, Ernesto, additional, Lange, Torben, additional, Stiermaier, Thomas, additional, Evertz, Ruben, additional, Backhaus, Sören J., additional, Thiele, Holger, additional, Bueno-Orovio, Alfonso, additional, Lamata, Pablo, additional, Schuster, Andreas, additional, and Grau, Vicente, additional

Published
2022
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20. Post-Infarction Risk Prediction with Mesh Classification Networks

Author

Beetz, Marcel, primary, Acero, Jorge Corral, additional, Banerjee, Abhirup, additional, Eitel, Ingo, additional, Zacur, Ernesto, additional, Lange, Torben, additional, Stiermaier, Thomas, additional, Evertz, Ruben, additional, Backhaus, Sören J., additional, Thiele, Holger, additional, Bueno-Orovio, Alfonso, additional, Lamata, Pablo, additional, Schuster, Andreas, additional, and Grau, Vicente, additional

Published
2022
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21. Impact of epicardial adipose tissue on cardiac function and morphology in patients with diastolic dysfunction.

Author

Schulz, Alexander, Backhaus, Sören J., Lange, Torben, Evertz, Ruben, Kutty, Shelby, Kowallick, Johannes T., Hasenfuß, Gerd, and Schuster, Andreas

Subjects
EPICARDIAL adipose tissue, BRAIN natriuretic factor, MAGNETIC resonance, CARDIAC catheterization, HEART failure, DOPPLER echocardiography
Abstract

Aims: This study aimed to identify the impact of increased epicardial adipose tissue (EAT) and its regional distribution on cardiac function in patients with diastolic dysfunction. Methods and results: Sixty‐eight patients with exertional dyspnoea (New York Heart Association ≥II), preserved ejection fraction (≥50%), and diastolic dysfunction (E/e′ ≥ 8) underwent rest and stress right heart catheterization, transthoracic echocardiography, and cardiovascular magnetic resonance (CMR). EAT volumes were depicted from CMR short‐axis stacks. First, the impact of increased EAT above the median was investigated. Second, the association of ventricular and atrial EAT with myocardial deformation at rest and during exercise stress was analysed in a multivariable regression analysis. Patients with high EAT had higher HFA‐PEFF and H2FPEFF scores as well as N‐terminal prohormone of brain natriuretic peptide levels (all P < 0.048). They were diagnosed with manifest heart failure with preserved ejection fraction (HFpEF) more frequently (low EAT: 37% vs. high EAT: 64%; P = 0.029) and had signs of adverse remodelling indicated by higher T1 times (P < 0.001). No differences in biventricular volumetry and left ventricular mass (all P > 0.074) were observed. Patients with high EAT had impaired atrial strain at rest and during exercise stress, and impaired ventricular strain during exercise stress. Regionally increased EAT was independently associated with functional impairment of the adjacent chambers. Conclusions: Patients with diastolic dysfunction and increased EAT show more pronounced signs of diastolic functional failure and adverse structural remodelling. Despite similar morphological characteristics, patients with high EAT show significant cardiac functional impairment, in particular in the atria. Our results indicate that regionally increased EAT directly induces atrial functional failure, which represents a distinct pathophysiological feature in HFpEF. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Functional and prognostic implications of cardiac magnetic resonance feature tracking-derived remote myocardial strain analyses in patients following acute myocardial infarction

Author

Lange, Torben, Stiermaier, Thomas, Backhaus, Sören J., Boom, Patricia C., Kowallick, Johannes T., de Waha-Thiele, Suzanne, Lotz, Joachim, Kutty, Shelby, Bigalke, Boris, Gutberlet, Matthias, Feistritzer, Hans-Josef, Desch, Steffen, Hasenfuß, Gerd, Thiele, Holger, Eitel, Ingo, and Schuster, Andreas

Published
2021
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28. Left Atrial Roof Enlargement Is a Distinct Feature of Heart Failure With Preserved Ejection Fraction.

Author

Backhaus, Sören J., Nasopoulou, Anastasia, Lange, Torben, Schulz, Alexander, and Evertz, Ruben

Abstract

BACKGROUND: It remains unknown to what extent intrinsic atrial cardiomyopathy or left ventricular diastolic dysfunction drive atrial remodeling and functional failure in heart failure with preserved ejection fraction (HFpEF). Computational 3-dimensional (3D) models fitted to cardiovascular magnetic resonance allow state-of-the-art anatomic and functional assessment, and we hypothesized to identify a phenotype linked to HFpEF. Patients with exertional dyspnea and diastolic dysfunction on echocardiography (E/e', >8) were prospectively recruited and classified as HFpEF or noncardiac dyspnea based on right heart catheterization. All patients underwent rest and exercise-stress right heart catheterization and cardiovascular magnetic resonance. Computational 3D anatomic left atrial (LA) models were generated based on short-axis cine sequences. A fully automated pipeline was developed to segment cardiovascular magnetic resonance images and build 3D statistical models of LA shape and find the 3D patterns discriminant between HFpEF and noncardiac dyspnea. In addition, atrial morphology and function were quantified by conventional volumetric analyses and deformation imaging. A clinical follow-up was conducted after 24 months for the evaluation of cardiovascular hospitalization. RESULTS: Beyond atrial size, the 3D LA models revealed roof dilation as the main feature found in masked HFpEF (diagnosed during exercise-stress only) preceding a pattern shift to overall atrial size in overt HFpEF (diagnosed at rest). Characteristics of the 3D model were integrated into the LA HFpEF shape score, a biomarker to characterize the gradual remodeling between noncardiac dyspnea and HFpEF. The LA HFpEF shape score was able to discriminate HFpEF (n=34) to noncardiac dyspnea (n=34; area under the curve, 0.81) and was associated with a risk for atrial fibrillation occurrence (hazard ratio, 1.02 [95% CI, 1.01-1.04]; P=0.003), as well as cardiovascular hospitalization (hazard ratio, 1.02 [95% CI, 1.00-1.04]; P=0.043). CONCLUSIONS:' LA roof dilation is an early remodeling pattern in masked HFpEF advancing to overall LA enlargement in overt HFpEF. These distinct features predict the occurrence of atrial fibrillation and cardiovascular hospitalization. [ABSTRACT FROM AUTHOR]

Published
2024
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30. Impact of myocardial deformation on risk prediction in patients following acute myocardial infarction

Author

Lange, Torben, primary, Gertz, Roman J., additional, Schulz, Alexander, additional, Backhaus, Sören J., additional, Evertz, Ruben, additional, Kowallick, Johannes T., additional, Hasenfuß, Gerd, additional, Desch, Steffen, additional, Thiele, Holger, additional, Stiermaier, Thomas, additional, Eitel, Ingo, additional, and Schuster, Andreas, additional

Published
2023
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32. Assessment of oropharyngeal respiratory volume and sleep apnoea scores using peripheral arterial tonometry may improve diagnosis and treatment planning of combined dysgnathia therapy approaches.

Author

Wiechens, Bernhard, Backhaus, Sören J., Oestreicher, David, Beutner, Dirk, Schliephake, Henning, Meyer‐Marcotty, Philipp, and Brockmeyer, Phillipp

Subjects
*SLEEP apnea syndrome treatment, *HOME environment, *LUNG volume measurements, *RESEARCH, *PHARYNX, *JAW abnormalities, *OXYGEN, *MANOMETERS, *AIRWAY (Anatomy), *ARTERIES, *HYPERSOMNIA, *MALOCCLUSION, *COMPARATIVE studies, *SLEEP duration, *SLEEP apnea syndromes, *QUESTIONNAIRES, *DESCRIPTIVE statistics, *STATISTICAL correlation, *COMPUTED tomography, *OROPHARYNX, *SNORING
Abstract

Background: Increased daytime sleepiness is a frequently reported symptom in patients with pronounced dysgnathia. Objectives: This study investigated possible correlations using home peripheral arterial tonometry (PAT) and oropharyngeal airway volume determination in patients with dysgnathia and daytime sleepiness. Methods: Twenty patients (13 male, median age 27.6 ± 6.8 years) with abnormal sleep history and 10 skeletal neutral configured controls (6 male, median age 29.5 ± 4.2 years) with normal sleep history were examined. Patients and controls were evaluated for apnoea–hypopnoea index (AHI), respiratory disturbance index (RDI), oxygen desaturation index (ODI), snoring volume (dB), total sleep time (TST) and REM‐percentage (REM). Airway volumetry was measured via CBCT. Individual user experience for PAT was assessed using the User Experience Questionnaire (UEQ). Results: Patients had significantly higher respiratory scores than controls. AHI increased 4.6‐fold (p =.006), RDI 2.5‐fold (p =.008) and ODI 6.4‐fold (p <.001). Oropharyngeal volumes showed a 30% decrease (p =.003). dB, TST and REM showed no significant differences. AHI (r = −.51; p =.005), ODI (r = −.60; p <.001) and RDI (r = −.45; p =.016) correlated negatively with pharyngeal volume. Wits appraisal correlated negatively with oropharyngeal volume (r = −.47; p =.010) and positively with AHI (r =.41; p =.03) and ODI (r =.49; p =.007). dB and TST (r = −.49; p =.008) and REM and RDI (r = −.43; p =.02) correlated negatively. UEQ‐KPI (2.17 ± 0.24) confirmed excellent usability of PAT. Conclusion: Patients with mandibular retrognathia and abnormal sleep history showed significantly higher respiratory indices and smaller oropharyngeal volumes than neutrally configured controls. The dygnathia severity directly influenced the risk of obstructive sleep apnoea. [ABSTRACT FROM AUTHOR]

Published
2024
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35. Strain-encoded cardiac magnetic resonance imaging: a new approach for fast estimation of left ventricular function

Author

Lapinskas, Tomas, Zieschang, Victoria, Erley, Jennifer, Stoiber, Lukas, Schnackenburg, Bernhard, Stehning, Christian, Gebker, Rolf, Patel, Amit R., Kawaji, Keigo, Steen, Henning, Zaliunas, Remigijus, Backhaus, Sören J., Schuster, Andreas, Makowski, Marcus, Giusca, Sorin, Korosoglou, Grigorious, Pieske, Burkert, and Kelle, Sebastian

Published
2019
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36. Aortic valve calcification and myocardial fibrosis determine outcome following transcatheter aortic valve replacement

Author

Evertz, Ruben, primary, Hub, Sebastian, additional, Beuthner, Bo Eric, additional, Backhaus, Sören J., additional, Lange, Torben, additional, Schulz, Alexander, additional, Toischer, Karl, additional, Seidler, Tim, additional, von Haehling, Stephan, additional, Puls, Miriam, additional, Kowallick, Johannes T., additional, Zeisberg, Elisabeth M., additional, Hasenfuß, Gerd, additional, and Schuster, Andreas, additional

Published
2023
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37. Concomitant latent pulmonary vascular disease leads to impaired global cardiac performance in heart failure with preserved ejection fraction

Author

Schuster, Andreas, primary, Schulz, Alexander, additional, Lange, Torben, additional, Evertz, Ruben, additional, Hartmann, Finn, additional, Kowallick, Johannes T., additional, Hellenkamp, Kristian, additional, Uecker, Martin, additional, Seidler, Tim, additional, Hasenfuß, Gerd, additional, and Backhaus, Sören J., additional

Published
2023
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38. Additional file 1 of Cardiovascular magnetic resonance-derived left atrioventricular coupling index and major adverse cardiac events in patients following acute myocardial infarction

Author

Lange, Torben, Backhaus, Sören J., Schulz, Alexander, Evertz, Ruben, Kowallick, Johannes T., Bigalke, Boris, Hasenfuß, Gerd, Thiele, Holger, Stiermaier, Thomas, Eitel, Ingo, and Schuster, Andreas

Abstract

Additional file 1: Figure S1. Kaplan–Meier curves for survival analyses in subgroup of low-risk patients. Left atrioventricular coupling index (LACI) and survival in low-risk patients according to left ventricular ejection fraction (LVEF) after acute myocardial infarction. Incidence of MACE (major adverse cardiac events) according to high and low LACI classified according to Youden Index.

Published
2023
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39. Interpretable cardiac anatomy modeling using variational mesh autoencoders

Author

Beetz, Marcel, primary, Corral Acero, Jorge, additional, Banerjee, Abhirup, additional, Eitel, Ingo, additional, Zacur, Ernesto, additional, Lange, Torben, additional, Stiermaier, Thomas, additional, Evertz, Ruben, additional, Backhaus, Sören J., additional, Thiele, Holger, additional, Bueno-Orovio, Alfonso, additional, Lamata, Pablo, additional, Schuster, Andreas, additional, and Grau, Vicente, additional

Published
2022
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41. Left-atrial long-axis shortening allows effective quantification of atrial function and optimized risk prediction following acute myocardial infarction

Author

Backhaus, Sören J, primary, Rösel, Simon F, additional, Stiermaier, Thomas, additional, Schmidt-Rimpler, Jonas, additional, Evertz, Ruben, additional, Schulz, Alexander, additional, Lange, Torben, additional, Kowallick, Johannes T, additional, Kutty, Shelby, additional, Bigalke, Boris, additional, Gutberlet, Matthias, additional, Hasenfuß, Gerd, additional, Thiele, Holger, additional, Eitel, Ingo, additional, and Schuster, Andreas, additional

Published
2022
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43. Artificial Intelligence Enabled Fully Automated CMR Function Quantification for Optimized Risk Stratification in Patients Undergoing Transcatheter Aortic Valve Replacement

Author

Evertz, Ruben, primary, Lange, Torben, additional, Backhaus, Sören J., additional, Schulz, Alexander, additional, Beuthner, Bo Eric, additional, Topci, Rodi, additional, Toischer, Karl, additional, Puls, Miriam, additional, Kowallick, Johannes T., additional, Hasenfuß, Gerd, additional, and Schuster, Andreas, additional

Published
2022
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45. Fully Automated Cardiac Assessment for Diagnostic and Prognostic Stratification Following Myocardial Infarction

Author

Schuster, Andreas, Lange, Torben, Backhaus, Sören J., Strohmeyer, Carolin, Boom, Patricia C., Matz, Jonas, Kowallick, Johannes T., Lotz, Joachim, Steinmetz, Michael, Kutty, Shelby, Bigalke, Boris, Gutberlet, Matthias, de Waha‐Thiele, Suzanne, Desch, Steffen, Hasenfuß, Gerd, Thiele, Holger, Stiermaier, Thomas, and Eitel, Ingo

Subjects
Male, cardiac magnetic resonance imaging, Magnetic Resonance Imaging (MRI), Myocardial Infarction, risk stratification, automated postprocessing, Risk Assessment, Imaging, Automation, Artificial Intelligence, Risk Factors, Image Interpretation, Computer-Assisted, Humans, deep learning software, artificial intelligence, Original Research, Aged, Myocardium, Heart, Stroke Volume, Middle Aged, Prognosis, Magnetic Resonance Imaging, Feasibility Studies, Female, Software
Abstract

Background Cardiovascular magnetic resonance imaging is considered the reference methodology for cardiac morphology and function but requires manual postprocessing. Whether novel artificial intelligence–based automated analyses deliver similar information for risk stratification is unknown. Therefore, this study aimed to investigate feasibility and prognostic implications of artificial intelligence–based, commercially available software analyses. Methods and Results Cardiovascular magnetic resonance data (n=1017 patients) from 2 myocardial infarction multicenter trials were included. Analyses of biventricular parameters including ejection fraction (EF) were manually and automatically assessed using conventional and artificial intelligence–based software. Obtained parameters entered regression analyses for prediction of major adverse cardiac events, defined as death, reinfarction, or congestive heart failure, within 1 year after the acute event. Both manual and uncorrected automated volumetric assessments showed similar impact on outcome in univariate analyses (left ventricular EF, manual: hazard ratio [HR], 0.93 [95% CI 0.91–0.95]; P

Published
2020

46. Exercise Stress Real-Time Cardiac Magnetic Resonance Imaging for Noninvasive Characterization of Heart Failure With Preserved Ejection Fraction

Author

Backhaus, Sören J., primary, Lange, Torben, additional, George, Elisabeth F., additional, Hellenkamp, Kristian, additional, Gertz, Roman J., additional, Billing, Marcus, additional, Wachter, Rolf, additional, Steinmetz, Michael, additional, Kutty, Shelby, additional, Raaz, Uwe, additional, Lotz, Joachim, additional, Friede, Tim, additional, Uecker, Martin, additional, Hasenfuß, Gerd, additional, Seidler, Tim, additional, and Schuster, Andreas, additional

Published
2021
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47. Prognostic Value of Different CMR-Based Techniques to Assess Left Ventricular Myocardial Strain in Takotsubo Syndrome

Author

Stiermaier, Thomas, primary, Busch, Kira, additional, Lange, Torben, additional, Pätz, Toni, additional, Meusel, Moritz, additional, Backhaus, Sören J., additional, Frydrychowicz, Alex, additional, Barkhausen, Jörg, additional, Gutberlet, Matthias, additional, Thiele, Holger, additional, Schuster, Andreas, additional, and Eitel, Ingo, additional

Published
2020
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48. Functional and prognostic implications of cardiac magnetic resonance feature tracking-derived remote myocardial strain analyses in patients following acute myocardial infarction

Author

Lange, Torben, primary, Stiermaier, Thomas, additional, Backhaus, Sören J., additional, Boom, Patricia C., additional, Kowallick, Johannes T., additional, de Waha-Thiele, Suzanne, additional, Lotz, Joachim, additional, Kutty, Shelby, additional, Bigalke, Boris, additional, Gutberlet, Matthias, additional, Feistritzer, Hans-Josef, additional, Desch, Steffen, additional, Hasenfuß, Gerd, additional, Thiele, Holger, additional, Eitel, Ingo, additional, and Schuster, Andreas, additional

Published
2020
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49. Frequency and prognostic impact of right ventricular involvement in acute myocardial infarction

Author

Stiermaier, Thomas, primary, Backhaus, Sören J, additional, Matz, Jonas, additional, Koschalka, Alexander, additional, Kowallick, Johannes, additional, de Waha-Thiele, Suzanne, additional, Desch, Steffen, additional, Gutberlet, Matthias, additional, Hasenfuß, Gerd, additional, Thiele, Holger, additional, Eitel, Ingo, additional, and Schuster, Andreas, additional

Published
2020
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50. Head‐to‐head comparison of cardiovascular MR feature tracking cine versus acquisition‐based deformation strain imaging using myocardial tagging and strain encoding

Author

Backhaus, Sören J., primary, Metschies, Georg, additional, Zieschang, Victoria, additional, Erley, Jennifer, additional, Mahsa Zamani, Seyedeh, additional, Kowallick, Johannes T., additional, Lapinskas, Tomas, additional, Pieske, Burkert, additional, Lotz, Joachim, additional, Kutty, Shelby, additional, Hasenfuß, Gerd, additional, Kelle, Sebastian, additional, and Schuster, Andreas, additional

Published
2020
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