Article
Biophysics
Yonghui Qiao, Yan Wang, Yanlu Chen, Kun Luo, Jianren Fan
Summary: The study introduces a promising shear-activated targeted nanoparticle drug delivery strategy for the treatment of aortic diseases. By utilizing the unique hemodynamic environment of the diseased aorta, successful targeted delivery of nanoparticle drugs is achieved, providing a theoretical basis for developing drug delivery systems and novel therapies.
BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
(2022)
Article
Cardiac & Cardiovascular Systems
Vahid Goodarzi Ardakani, Harshinee Goordoyal, Maria Victoria Ordonez, Froso Sophocleous, Stephanie Curtis, Radwa Bedair, Massimo Caputo, Alberto Gambaruto, Giovanni Biglino
Summary: This study used computational simulations to analyze the relationship between aortic shape and hemodynamic parameters. The results showed that even small alterations in aortic morphology can impact key hemodynamic indices, which may explain phenomena such as persistent hypertension in the absence of any clinically significant narrowing. The findings suggest that the geometry of the aortic arch may be a contributing factor to cardiovascular events in patients with aortic coarctation.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2022)
Article
Engineering, Mechanical
Reza Sadeghi, Nadav Gasner, Seyedvahid Khodaei, Julio Garcia, Zahra Keshavarz-Motamed
Summary: The optimal course of intervention for patients with coexisting coarctation of the aorta (COA) and mixed valvular disease (MVD) is uncertain. This study developed a computational-mechanics framework to investigate the impact of COA and MVD on aortic fluid dynamics. The results suggest that the presence and severity of MVD should be considered in the evaluation of risks in patients with COA.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Engineering, Biomedical
Romana Perinajova, Joe F. Juffermans, Jonhatan Lorenzo Mercado, Jean-Paul Aben, Leon Ledoux, Jos J. M. Westenberg, Hildo J. Lamb, Sasa Kenjeres
Summary: This study analyzed turbulent flows using MRI and CFD, finding good agreement in velocity measurements between the two methods. While absolute values of WSS differed, normalized WSS showed similar distributions between MRI and CFD. The combined MRI/CFD method is recommended for future analysis and evaluation of local flow patterns and WSS in the aorta.
BIOMEDICAL ENGINEERING ONLINE
(2021)
Article
Cardiac & Cardiovascular Systems
Reza Sadeghi, Benjamin Tomka, Seyedvahid Khodaei, Julio Garcia, Javier Ganame, Zahra Keshavarz-Motamed
Summary: The study showed that COA and mixed valvular diseases interacted to worsen abnormal blood flow dynamics and increase disease progression. Additionally, the presence of valvular diseases in patients led to increased workload, highlighting the importance of considering both COA severity and mixed valvular diseases in patient evaluation and treatment planning.
JOURNAL OF THE AMERICAN HEART ASSOCIATION
(2022)
Article
Multidisciplinary Sciences
Deniz Rafieianzab, Mohammad Amin Abazari, M. Soltani, Mona Alimohammadi
Summary: This study focuses on developing an innovative computational simulation approach to quantify the global and local hemodynamics characteristics of CoA patients, proposing the use of WSS indices and pressure gradient for treatment framework. Results comparing different severities of CoA cases provide valuable information for the medical community.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Biomedical
Sarah Katz, Alfonso Caiazzo, Baptiste Moreau, Ulrich Wilbrandt, Jan Bruening, Leonid Goubergrits, Volker John
Summary: Numerical simulations were conducted on pulsatile blood flow in an aortic coarctation, utilizing turbulence modeling. The study examined three large eddy simulation (LES) models (Smagorinsky, Vreman, sigma-model) and one variational multiscale model (residual-based) within a finite element framework. The impact of these models on clinically relevant biomarkers, such as pressure difference, secondary flow degree, normalized flow displacement, and wall shear stress, was thoroughly investigated. The results showed that while most methods provided consistent severity indicators, the choice of turbulence model could significantly affect other clinically relevant quantities such as wall shear stresses, due to differences in numerical dissipation introduced by the models.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
(2023)
Article
Engineering, Biomedical
Nhien Tran-Nguyen, Francesca Condemi, Andrew Yan, Stephen Fremes, Piero Triverio, Laura Jimenez-Juan
Summary: This prospective study used computational fluid dynamics to investigate how graft hemodynamics may vary among different types of grafts one month after coronary artery bypass graft (CABG) surgery. The study found differences in abnormal wall shear stress area among different types of grafts, suggesting a possible influence on long-term graft failure rates.
ANNALS OF BIOMEDICAL ENGINEERING
(2022)
Article
Computer Science, Information Systems
Pavlo Yevtushenko, Leonid Goubergrits, Lina Gundelwein, Arnaud Setio, Heiko Ramm, Heiko Lamecker, Tobias Heimann, Alexander Meyer, Titus Kuehne, Marie Schafstedde
Summary: Image-based patient-specific modelling of hemodynamics has the potential to improve diagnostic capabilities and clinical outcomes for cardiovascular diseases, but traditional numerical methods require significant computational resources. Machine learning approaches offer the advantage of quickly calculating patient-specific hemodynamic outcomes with high accuracy, showcasing their ability to perform tasks that previously required resource-intensive simulations.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Engineering, Biomedical
Maria Nicole Antonuccio, Alessandro Mariotti, Benigno Marco Fanni, Katia Capellini, Claudio Capelli, Emilie Sauvage, Simona Celi
Summary: CFD simulations of blood flow play an important role in cardiovascular studies, with accuracy depending on the certainty of input parameters. Propagating uncertainty from clinical data to model results allows estimation of model prediction confidence. In a patient-specific aortic coarctation model, Windkessel models as outflow boundary conditions and stochastic analysis were used to evaluate the impact of uncertain parameters.
ANNALS OF BIOMEDICAL ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Dandan Ma, Yong Wang, Mueed Azhar, Ansgar Adler, Michael Steinmetz, Martin Uecker
Summary: The study presents a framework for personalized stent intervention in CoA by combining image-based prediction of aortic geometry and CFD prediction of hemodynamics to select optimal stent.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
(2022)
Article
Pediatrics
Luyao Wei, Shijun Hu, Xueyang Gong, Yiliya Ahemaiti, Tianli Zhao
Summary: By reviewing the diagnostic process for adolescents with coarctation of the aorta (CoA) in our institution, we analyzed the reasons for delayed diagnosis of CoA and proposed a diagnostic protocol to improve the detection rate of CoA.
FRONTIERS IN PEDIATRICS
(2023)
Article
Engineering, Multidisciplinary
Gabriel D. Maher, Casey M. Fleeter, Daniele E. Schiavazzi, Alison L. Marsden
Summary: A novel approach utilizing convolutional neural networks is proposed to generate samples from patient-specific cardiovascular models based on clinically acquired image volumes. The method focuses on learning geometric uncertainty directly from training data and demonstrates its impact on hemodynamics for different patient-specific anatomies.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Pediatrics
Taocui Yan, Jinjie Qin, Yulin Zhang, Qiuni Li, Baoru Han, Xin Jin
Summary: The study explored the application of an intelligent image processing method in the diagnosis of aortic coarctation using computed tomography angiography (CTA). The intelligent method showed higher accuracy, specificity, and AUC compared to manual measurement in diagnosing aortic coarctation. The results indicated that the intelligent method can be successfully applied in the diagnosis of aortic coarctation.
FRONTIERS IN PEDIATRICS
(2023)
Article
Biophysics
Simbarashe G. Chidyagwai, Madhurima Vardhan, Michael Kaplan, Reid Chamberlain, Piers Barker, Amanda Randles
Summary: This study used computational fluid dynamics simulations and surgical correction to investigate the impact of AAOCA on patient hemodynamics. The results showed that patients with AAOCA had higher TAWSS values and that coronary unroofing surgery normalized the TAWSS. These findings provide evidence for potential hemodynamic factors underlying coronary ischemia in AAOCA during exercise.
JOURNAL OF BIOMECHANICS
(2022)
Article
Cardiac & Cardiovascular Systems
Nadya Al-Wakeel-Marquard, Franziska Seidel, Jirko Kuehnisch, Titus Kuehne, Felix Berger, Daniel R. Messroghli, Sabine Klaassen
Summary: In pediatric patients with dilated cardiomyopathy (DCM), the presence of midwall fibrosis (MWF) did not accurately predict heart failure outcomes, while rigid body rotation (RBR) was associated with adverse events and disease severity.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2022)
Article
Computer Science, Artificial Intelligence
Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Huellebrand, Jan Bruening, Tabea Kossen, Boris Pfahringer, Jens Schaller, Andreas Spuler, Titus Kuehne, Yizhuan Jia, Xuesong Li, Suprosanna Shit, Bjoern Menze, Ziyu Su, Jun Ma, Ziwei Nie, Kartik Jain, Yanfei Liu, Yi Lin, Anja Hennemuth
Summary: The CADA challenge aimed to support the development and benchmarking of algorithms for detecting, analyzing, and assessing the risk of cerebral aneurysms in 3DRA images. Participants presented U-Net-based detection solutions with similar accuracy to experts and excellent delineation of these structures. The rupture risk estimation methods achieved good results. The best method pipeline showed comparable performance to the ground-truth delineation.
MEDICAL IMAGE ANALYSIS
(2022)
Article
Cardiac & Cardiovascular Systems
Lukas Obermeier, Katharina Vellguth, Adriano Schlief, Lennart Tautz, Jan Bruening, Christoph Knosalla, Titus Kuehne, Natalia Solowjowa, Leonid Goubergrits
Summary: This study aims to establish a CCT-based CFD methodology for analyzing left ventricle hemodynamics and assess its usability in clinical practice. By analyzing four cases of heart failure patients, the results show that the proposed method can accurately compute patient-specific intraventricular hemodynamics, providing support for clinical decision making and treatment planning.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2022)
Article
Engineering, Biomedical
Benedikt Franke, Adriano Schlief, Lars Walczak, Simon Suendermann, Axel Unbehaun, Joerg Kempfert, Natalia Solowjowa, Titus Kuehne, Leonid Goubergrits
Summary: In this study, virtual treatments of transcatheter aortic valve replacement (TAVI) and surgical aortic valve replacement (SAVR) were performed, and the post-interventional hemodynamics were compared using numerical simulations. The results showed that virtual TAVI treatment had realistic hemodynamics comparable to echocardiographic measurements, and TAVI and SAVR exhibited similar hemodynamic functions in a pairwise comparison.
Article
Biophysics
Marie Schafstedde, Lina Jarmatz, Jan Bruening, Markus Huellebrand, Sarah Nordmeyer, Andreas Harloff, Anja Hennemuth
Summary: This study assesses age-related differences of thoracic aorta blood flow profiles and provides age- and sex-specific reference values using 4D flow cardiovascular magnetic resonance (CMR) data. The results show age-related differences in blood flow parameters in the ascending aorta, with higher values for NFD and angle and lower values for WPD and A80 in older subjects. These age- and sex-specific reference values for quantitative parameters describing blood flow within the aorta might help to study the clinical relevance of flow profiles in the future.
PHYSIOLOGICAL MEASUREMENT
(2023)
Article
Biology
Sarah Nordmeyer, Milena Kraus, Matthias Ziehm, Marieluise Kirchner, Marie Schafstedde, Marcus Kelm, Sylvia Niquet, Mariet Mathew Stephen, Istvan Baczko, Christoph Knosalla, Matthieu-P Schapranow, Gunnar Dittmar, Michael Gotthardt, Martin Falcke, Vera Regitz-Zagrosek, Titus Kuehne, Philipp Mertins
Summary: Pressure overload and volume overload in heart valve diseases lead to specific forms of cardiac remodeling. Proteome profiling of human left ventricular myocardial biopsies revealed differences in protein composition compared to controls, particularly in the areas of extracellular matrix, cytoskeleton, energy metabolism, and proteostasis. Sex-specific differences were also observed. These findings provide insight into the molecular mechanisms of cardiac remodeling in patients with heart valve diseases, which could help in developing personalized treatment strategies.
LIFE SCIENCE ALLIANCE
(2023)
Article
Cardiac & Cardiovascular Systems
Anne-Maj Samuelsson, Theda Ulrike Patricia Bartolomaeus, Harithaa Anandakumar, Irene Thowsen, Elham Nikpey, Jianhua Han, Lajos Marko, Kenneth Finne, Olav Tenstad, Johannes Eckstein, Nikolaus Berndt, Titus Kuehne, Sarah Kedziora, Ibrahim Sultan, Trude Skogstrand, Tine Karlsen, Harri Nurmi, Sofia K. Forslund, Entela Bollano, Kari Alitalo, Dominik N. Muller, Helge Wiig
Summary: This study investigates the role of VEGF-B in cardiac proteomic and metabolic adaptation in heart failure, and finds that VEGF-B TG accelerates metabolic maladaptation, leading to structural cardiomyopathy and systolic heart failure.
CARDIOVASCULAR RESEARCH
(2023)
Article
Engineering, Biomedical
Sarah Katz, Alfonso Caiazzo, Baptiste Moreau, Ulrich Wilbrandt, Jan Bruening, Leonid Goubergrits, Volker John
Summary: Numerical simulations were conducted on pulsatile blood flow in an aortic coarctation, utilizing turbulence modeling. The study examined three large eddy simulation (LES) models (Smagorinsky, Vreman, sigma-model) and one variational multiscale model (residual-based) within a finite element framework. The impact of these models on clinically relevant biomarkers, such as pressure difference, secondary flow degree, normalized flow displacement, and wall shear stress, was thoroughly investigated. The results showed that while most methods provided consistent severity indicators, the choice of turbulence model could significantly affect other clinically relevant quantities such as wall shear stresses, due to differences in numerical dissipation introduced by the models.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
(2023)
Correction
Medicine, Research & Experimental
Elisabeth Petter, Carmen Scheibenbogen, Peter Linz, Christian Stehning, Klaus Wirth, Titus Kuehne, Marcus Kelm
JOURNAL OF TRANSLATIONAL MEDICINE
(2023)
Article
Cardiac & Cardiovascular Systems
Pavlo Yevtushenko, Leonid Goubergrits, Benedikt Franke, Titus Kuehne, Marie Schafstedde
Summary: This study proposes a deep learning-based approach to compute pressure and wall-shear-stress in patients with aortic stenosis. By constructing surface models of the aorta and aortic valve and performing computational fluid dynamics (CFD) simulations, an artificial neural network (ANN) was trained to accurately compute spatially resolved pressure and wall-shear-stress. The results demonstrate the potential of deep learning in computing clinically relevant hemodynamic parameters and facilitating the introduction of modelling-based treatment support into clinical practice.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2023)
Article
Engineering, Biomedical
Sabine Verstraeten, Martijn Hoeijmakers, Pim Tonino, Jan Bruening, Claudio Capelli, Frans van de Vosse, Wouter Huberts
Summary: In this study, a virtual cohort generator was developed that can generate anatomically plausible synthetic aortic valve stenosis geometries for in silico transcatheter aortic valve implantation trials. Specific anatomical features that influence the occurrence of complications can be selected with a high sensitivity.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
(2023)
