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Vuong TNAM, Bartolf-Kopp M, Andelovic K, Jungst T, Farbehi N, Wise SG, Hayward C, Stevens MC, Rnjak-Kovacina J. Integrating Computational and Biological Hemodynamic Approaches to Improve Modeling of Atherosclerotic Arteries. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2307627. [PMID: 38704690 DOI: 10.1002/advs.202307627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 03/12/2024] [Indexed: 05/07/2024]
Abstract
Atherosclerosis is the primary cause of cardiovascular disease, resulting in mortality, elevated healthcare costs, diminished productivity, and reduced quality of life for individuals and their communities. This is exacerbated by the limited understanding of its underlying causes and limitations in current therapeutic interventions, highlighting the need for sophisticated models of atherosclerosis. This review critically evaluates the computational and biological models of atherosclerosis, focusing on the study of hemodynamics in atherosclerotic coronary arteries. Computational models account for the geometrical complexities and hemodynamics of the blood vessels and stenoses, but they fail to capture the complex biological processes involved in atherosclerosis. Different in vitro and in vivo biological models can capture aspects of the biological complexity of healthy and stenosed vessels, but rarely mimic the human anatomy and physiological hemodynamics, and require significantly more time, cost, and resources. Therefore, emerging strategies are examined that integrate computational and biological models, and the potential of advances in imaging, biofabrication, and machine learning is explored in developing more effective models of atherosclerosis.
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Affiliation(s)
| | - Michael Bartolf-Kopp
- Department of Functional Materials in Medicine and Dentistry, Institute of Functional Materials and Biofabrication (IFB), KeyLab Polymers for Medicine of the Bavarian Polymer Institute (BPI), University of Würzburg, Pleicherwall 2, 97070, Würzburg, Germany
| | - Kristina Andelovic
- Department of Functional Materials in Medicine and Dentistry, Institute of Functional Materials and Biofabrication (IFB), KeyLab Polymers for Medicine of the Bavarian Polymer Institute (BPI), University of Würzburg, Pleicherwall 2, 97070, Würzburg, Germany
| | - Tomasz Jungst
- Department of Functional Materials in Medicine and Dentistry, Institute of Functional Materials and Biofabrication (IFB), KeyLab Polymers for Medicine of the Bavarian Polymer Institute (BPI), University of Würzburg, Pleicherwall 2, 97070, Würzburg, Germany
- Department of Orthopedics, Regenerative Medicine Center Utrecht, University Medical Center Utrecht, Utrecht, 3584, Netherlands
| | - Nona Farbehi
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, 2052, Australia
- Tyree Institute of Health Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
- Garvan Weizmann Center for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia
| | - Steven G Wise
- School of Medical Sciences, University of Sydney, Sydney, NSW, 2006, Australia
| | - Christopher Hayward
- St Vincent's Hospital, Sydney, Victor Chang Cardiac Research Institute, Sydney, 2010, Australia
| | - Michael Charles Stevens
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, 2052, Australia
| | - Jelena Rnjak-Kovacina
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, 2052, Australia
- Tyree Institute of Health Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
- Australian Centre for NanoMedicine (ACN), University of New South Wales, Sydney, NSW, 2052, Australia
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2
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Faragli A, Hüllebrand M, Berendsen AJ, Solà LT, Lo Muzio FP, Götze C, Tanacli R, Doeblin P, Stehning C, Schnackenburg B, Van der Vosse FN, Nagel E, Post H, Hennemuth A, Alogna A, Kelle S. Pulmonary 4D-flow MRI imaging in landrace pigs under rest and stress. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2024:10.1007/s10554-024-03132-9. [PMID: 38819601 DOI: 10.1007/s10554-024-03132-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 05/04/2024] [Indexed: 06/01/2024]
Abstract
4D-flow MRI is a promising technique for assessing vessel hemodynamics. However, its utilization is currently limited by the lack of reference values, particularly for pulmonary vessels. In this work, we have analysed flow and velocity in the pulmonary trunk (PT), left and right pulmonary arteries (LPA and RPA, respectively) in Landrace pigs at both rest and stress through the software MEVISFlow. Nine healthy Landrace pigs were acutely instrumented closed-chest and transported to the CMR facility for evaluation. After rest measurements, dobutamine was administered to achieve a 25% increase in heart rate compared to rest. 4D-flow MRI images have been analysed through MEVISFlow by two independent observers. Inter- and intra-observer reproducibility was quantified using intraclass correlation coefficient. A significant difference between rest and stress regarding flow and velocity in all the pulmonary vessels was observed. Mean flow increased 55% in PT, 75% in LPA and 40% in RPA. Mean peak velocity increased 55% in PT, 75% in LPA and 66% in RPA. A good-to-excellent reproducibility was observed in rest and stress for flow measurements in all three arteries. An excellent reproducibility for velocity was found in PT at rest and stress, a good one for LPA and RPA at rest, while poor reproducibility was found at stress. The current study showed that pulmonary flow and velocity assessed through 4D-flow MRI follow the physiological alterations during cardiac cycle and after stress induced by dobutamine. A clinical translation to assess pulmonary diseases with 4D-flow MRI under stress conditions needs investigation.
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Affiliation(s)
- A Faragli
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, 13353, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
- DZHK (German Centre for Cardiovascular Research) partner site Berlin, Berlin, Germany
| | - M Hüllebrand
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Deutsches Herzzentrum der Charité (DHZC), Institute of Computer-assisted Cardiovascular Medicine, Berlin, Germany
- Fraunhofer Institute for Digital Medicine MEVIS, Berlin, Germany
| | - A J Berendsen
- Department of Biomedical Engineering, Cardiovascular Biomechanics Group, Eindhoven University of Technology, Eindhoven, The Netherlands
| | | | - F P Lo Muzio
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, 13353, Berlin, Germany
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - C Götze
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, 13353, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - R Tanacli
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, 13353, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
- DZHK (German Centre for Cardiovascular Research) partner site Berlin, Berlin, Germany
| | - P Doeblin
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, 13353, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research) partner site Berlin, Berlin, Germany
| | - C Stehning
- Clinical Science, Philips Healthcare, Hamburg, Germany
| | | | | | - E Nagel
- Institute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - H Post
- Department of Cardiology, Contilia Heart and Vessel Centre, St. Marien-Hospital Mülheim, Mülheim, Germany
| | - A Hennemuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Deutsches Herzzentrum der Charité (DHZC), Institute of Computer-assisted Cardiovascular Medicine, Berlin, Germany
- Fraunhofer Institute for Digital Medicine MEVIS, Berlin, Germany
| | - A Alogna
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, 13353, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health (BIH), Berlin, Germany
- DZHK (German Centre for Cardiovascular Research) partner site Berlin, Berlin, Germany
| | - Sebastian Kelle
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, 13353, Berlin, Germany.
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research) partner site Berlin, Berlin, Germany.
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Lowis C, Ramara Winaya A, Kumari P, Rivera CF, Vlahos J, Hermantara R, Pratama MY, Ramkhelawon B. Mechanosignals in abdominal aortic aneurysms. Front Cardiovasc Med 2023; 9:1021934. [PMID: 36698932 PMCID: PMC9868277 DOI: 10.3389/fcvm.2022.1021934] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 11/29/2022] [Indexed: 01/11/2023] Open
Abstract
Cumulative evidence has shown that mechanical and frictional forces exert distinct effects in the multi-cellular aortic layers and play a significant role in the development of abdominal aortic aneurysms (AAA). These mechanical cues collectively trigger signaling cascades relying on mechanosensory cellular hubs that regulate vascular remodeling programs leading to the exaggerated degradation of the extracellular matrix (ECM), culminating in lethal aortic rupture. In this review, we provide an update and summarize the current understanding of the mechanotransduction networks in different cell types during AAA development. We focus on different mechanosensors and stressors that accumulate in the AAA sac and the mechanotransduction cascades that contribute to inflammation, oxidative stress, remodeling, and ECM degradation. We provide perspectives on manipulating this mechano-machinery as a new direction for future research in AAA.
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Affiliation(s)
- Christiana Lowis
- Division of Vascular and Endovascular Surgery, Department of Surgery, New York University Langone Medical Center, New York, NY, United States,Department of Biomedicine, Indonesia International Institute for Life-Sciences, Jakarta, Indonesia
| | - Aurellia Ramara Winaya
- Division of Vascular and Endovascular Surgery, Department of Surgery, New York University Langone Medical Center, New York, NY, United States,Department of Biomedicine, Indonesia International Institute for Life-Sciences, Jakarta, Indonesia
| | - Puja Kumari
- Division of Vascular and Endovascular Surgery, Department of Surgery, New York University Langone Medical Center, New York, NY, United States,Department of Cell Biology, New York University Langone Medical Center, New York, NY, United States
| | - Cristobal F. Rivera
- Division of Vascular and Endovascular Surgery, Department of Surgery, New York University Langone Medical Center, New York, NY, United States,Department of Cell Biology, New York University Langone Medical Center, New York, NY, United States
| | - John Vlahos
- Division of Vascular and Endovascular Surgery, Department of Surgery, New York University Langone Medical Center, New York, NY, United States,Department of Cell Biology, New York University Langone Medical Center, New York, NY, United States
| | - Rio Hermantara
- Department of Biomedicine, Indonesia International Institute for Life-Sciences, Jakarta, Indonesia
| | - Muhammad Yogi Pratama
- Division of Vascular and Endovascular Surgery, Department of Surgery, New York University Langone Medical Center, New York, NY, United States,Department of Cell Biology, New York University Langone Medical Center, New York, NY, United States,Muhammad Yogi Pratama,
| | - Bhama Ramkhelawon
- Division of Vascular and Endovascular Surgery, Department of Surgery, New York University Langone Medical Center, New York, NY, United States,Department of Cell Biology, New York University Langone Medical Center, New York, NY, United States,*Correspondence: Bhama Ramkhelawon,
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Oechtering TH, Roberts GS, Panagiotopoulos N, Wieben O, Roldán-Alzate A, Reeder SB. Abdominal applications of quantitative 4D flow MRI. Abdom Radiol (NY) 2022; 47:3229-3250. [PMID: 34837521 PMCID: PMC9135957 DOI: 10.1007/s00261-021-03352-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 11/11/2021] [Accepted: 11/12/2021] [Indexed: 01/18/2023]
Abstract
4D flow MRI is a quantitative MRI technique that allows the comprehensive assessment of time-resolved hemodynamics and vascular anatomy over a 3-dimensional imaging volume. It effectively combines several advantages of invasive and non-invasive imaging modalities like ultrasound, angiography, and computed tomography in a single MRI acquisition and provides an unprecedented characterization of velocity fields acquired non-invasively in vivo. Functional and morphological imaging of the abdominal vasculature is especially challenging due to its complex and variable anatomy with a wide range of vessel calibers and flow velocities and the need for large volumetric coverage. Despite these challenges, 4D flow MRI is a promising diagnostic and prognostic tool as many pathologies in the abdomen are associated with changes of either hemodynamics or morphology of arteries, veins, or the portal venous system. In this review article, we will discuss technical aspects of the implementation of abdominal 4D flow MRI ranging from patient preparation and acquisition protocol over post-processing and quality control to final data analysis. In recent years, the range of applications for 4D flow in the abdomen has increased profoundly. Therefore, we will review potential clinical applications and address their clinical importance, relevant quantitative and qualitative parameters, and unmet challenges.
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Affiliation(s)
- Thekla H. Oechtering
- University of Wisconsin, Department of Radiology, Madison, WI, United States,Universität zu Lübeck, Department of Radiology, Luebeck, Germany
| | - Grant S. Roberts
- University of Wisconsin, Department of Medical Physics, Madison, WI, United States
| | - Nikolaos Panagiotopoulos
- University of Wisconsin, Department of Radiology, Madison, WI, United States,Universität zu Lübeck, Department of Radiology, Luebeck, Germany
| | - Oliver Wieben
- University of Wisconsin, Department of Radiology, Madison, WI, United States,University of Wisconsin, Department of Medical Physics, Madison, WI, United States
| | - Alejandro Roldán-Alzate
- University of Wisconsin, Department of Radiology, Madison, WI, United States,University of Wisconsin, Department of Mechanical Engineering, Madison, WI, United States,University of Wisconsin, Department of Biomedical Engineering, Madison, WI, United States
| | - Scott B. Reeder
- University of Wisconsin, Department of Radiology, Madison, WI, United States,University of Wisconsin, Department of Medical Physics, Madison, WI, United States,University of Wisconsin, Department of Mechanical Engineering, Madison, WI, United States,University of Wisconsin, Department of Biomedical Engineering, Madison, WI, United States,University of Wisconsin, Department of Emergency Medicine, Madison, WI, United States
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2D Projection Maps of WSS and OSI Reveal Distinct Spatiotemporal Changes in Hemodynamics in the Murine Aorta during Ageing and Atherosclerosis. Biomedicines 2021; 9:biomedicines9121856. [PMID: 34944672 PMCID: PMC8698968 DOI: 10.3390/biomedicines9121856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 11/24/2021] [Accepted: 12/02/2021] [Indexed: 11/17/2022] Open
Abstract
Growth, ageing and atherosclerotic plaque development alter the biomechanical forces acting on the vessel wall. However, monitoring the detailed local changes in wall shear stress (WSS) at distinct sites of the murine aortic arch over time has been challenging. Here, we studied the temporal and spatial changes in flow, WSS, oscillatory shear index (OSI) and elastic properties of healthy wildtype (WT, n = 5) and atherosclerotic apolipoprotein E-deficient (Apoe-/-, n = 6) mice during ageing and atherosclerosis using high-resolution 4D flow magnetic resonance imaging (MRI). Spatially resolved 2D projection maps of WSS and OSI of the complete aortic arch were generated, allowing the pixel-wise statistical analysis of inter- and intragroup hemodynamic changes over time and local correlations between WSS, pulse wave velocity (PWV), plaque and vessel wall characteristics. The study revealed converse differences of local hemodynamic profiles in healthy WT and atherosclerotic Apoe-/- mice, and we identified the circumferential WSS as potential marker of plaque size and composition in advanced atherosclerosis and the radial strain as a potential marker for vascular elasticity. Two-dimensional (2D) projection maps of WSS and OSI, including statistical analysis provide a powerful tool to monitor local aortic hemodynamics during ageing and atherosclerosis. The correlation of spatially resolved hemodynamics and plaque characteristics could significantly improve our understanding of the impact of hemodynamics on atherosclerosis, which may be key to understand plaque progression towards vulnerability.
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6
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Winter P, Andelovic K, Kampf T, Hansmann J, Jakob PM, Bauer WR, Zernecke A, Herold V. Simultaneous measurements of 3D wall shear stress and pulse wave velocity in the murine aortic arch. J Cardiovasc Magn Reson 2021; 23:34. [PMID: 33731147 PMCID: PMC7972216 DOI: 10.1186/s12968-021-00725-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 02/03/2021] [Indexed: 11/16/2022] Open
Abstract
PURPOSE Wall shear stress (WSS) and pulse wave velocity (PWV) are important parameters to characterize blood flow in the vessel wall. Their quantification with flow-sensitive phase-contrast (PC) cardiovascular magnetic resonance (CMR), however, is time-consuming. Furthermore, the measurement of WSS requires high spatial resolution, whereas high temporal resolution is necessary for PWV measurements. For these reasons, PWV and WSS are challenging to measure in one CMR session, making it difficult to directly compare these parameters. By using a retrospective approach with a flexible reconstruction framework, we here aimed to simultaneously assess both PWV and WSS in the murine aortic arch from the same 4D flow measurement. METHODS Flow was measured in the aortic arch of 18-week-old wildtype (n = 5) and ApoE-/- mice (n = 5) with a self-navigated radial 4D-PC-CMR sequence. Retrospective data analysis was used to reconstruct the same dataset either at low spatial and high temporal resolution (PWV analysis) or high spatial and low temporal resolution (WSS analysis). To assess WSS, the aortic lumen was labeled by semi-automatically segmenting the reconstruction with high spatial resolution. WSS was determined from the spatial velocity gradients at the lumen surface. For calculation of the PWV, segmentation data was interpolated along the temporal dimension. Subsequently, PWV was quantified from the through-plane flow data using the multiple-points transit-time method. Reconstructions with varying frame rates and spatial resolutions were performed to investigate the influence of spatiotemporal resolution on the PWV and WSS quantification. RESULTS 4D flow measurements were conducted in an acquisition time of only 35 min. Increased peak flow and peak WSS values and lower errors in PWV estimation were observed in the reconstructions with high temporal resolution. Aortic PWV was significantly increased in ApoE-/- mice compared to the control group (1.7 ± 0.2 versus 2.6 ± 0.2 m/s, p < 0.001). Mean WSS magnitude values averaged over the aortic arch were (1.17 ± 0.07) N/m2 in wildtype mice and (1.27 ± 0.10) N/m2 in ApoE-/- mice. CONCLUSION The post processing algorithm using the flexible reconstruction framework developed in this study permitted quantification of global PWV and 3D-WSS in a single acquisition. The possibility to assess both parameters in only 35 min will markedly improve the analyses and information content of in vivo measurements.
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Affiliation(s)
- Patrick Winter
- Experimental Physiks V, University of Würzburg, Am Hubland, 97074, Würzburg, Germany.
- Medical Clinic and Policlinic I, University Hospital Wuerzburg, Oberdürrbacher Straße 6, 97080, Würzburg, Germany.
| | - Kristina Andelovic
- Experimental Physiks V, University of Würzburg, Am Hubland, 97074, Würzburg, Germany
- Institute of Experimental Biomedicine, University Hospital Würzburg, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
| | - Thomas Kampf
- Experimental Physiks V, University of Würzburg, Am Hubland, 97074, Würzburg, Germany
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Würzburg, Josef-Schneider-Straße 11, 97080, Würzburg, Germany
| | - Jan Hansmann
- Institute of Electrical Engineering, University of Applied Sciences Würzburg-Schweinfurt (FHWS), Ignaz-Schön-Straße 11, 97421, Schweinfurt, Germany
| | - Peter Michael Jakob
- Experimental Physiks V, University of Würzburg, Am Hubland, 97074, Würzburg, Germany
| | - Wolfgang Rudolf Bauer
- Experimental Physiks V, University of Würzburg, Am Hubland, 97074, Würzburg, Germany
- Institute of Experimental Biomedicine, University Hospital Würzburg, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
| | - Alma Zernecke
- Institute of Experimental Biomedicine, University Hospital Würzburg, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
| | - Volker Herold
- Experimental Physiks V, University of Würzburg, Am Hubland, 97074, Würzburg, Germany
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Andelovic K, Winter P, Jakob PM, Bauer WR, Herold V, Zernecke A. Evaluation of Plaque Characteristics and Inflammation Using Magnetic Resonance Imaging. Biomedicines 2021; 9:185. [PMID: 33673124 PMCID: PMC7917750 DOI: 10.3390/biomedicines9020185] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 02/08/2021] [Accepted: 02/09/2021] [Indexed: 12/19/2022] Open
Abstract
Atherosclerosis is an inflammatory disease of large and medium-sized arteries, characterized by the growth of atherosclerotic lesions (plaques). These plaques often develop at inner curvatures of arteries, branchpoints, and bifurcations, where the endothelial wall shear stress is low and oscillatory. In conjunction with other processes such as lipid deposition, biomechanical factors lead to local vascular inflammation and plaque growth. There is also evidence that low and oscillatory shear stress contribute to arterial remodeling, entailing a loss in arterial elasticity and, therefore, an increased pulse-wave velocity. Although altered shear stress profiles, elasticity and inflammation are closely intertwined and critical for plaque growth, preclinical and clinical investigations for atherosclerosis mostly focus on the investigation of one of these parameters only due to the experimental limitations. However, cardiovascular magnetic resonance imaging (MRI) has been demonstrated to be a potent tool which can be used to provide insights into a large range of biological parameters in one experimental session. It enables the evaluation of the dynamic process of atherosclerotic lesion formation without the need for harmful radiation. Flow-sensitive MRI provides the assessment of hemodynamic parameters such as wall shear stress and pulse wave velocity which may replace invasive and radiation-based techniques for imaging of the vascular function and the characterization of early plaque development. In combination with inflammation imaging, the analyses and correlations of these parameters could not only significantly advance basic preclinical investigations of atherosclerotic lesion formation and progression, but also the diagnostic clinical evaluation for early identification of high-risk plaques, which are prone to rupture. In this review, we summarize the key applications of magnetic resonance imaging for the evaluation of plaque characteristics through flow sensitive and morphological measurements. The simultaneous measurements of functional and structural parameters will further preclinical research on atherosclerosis and has the potential to fundamentally improve the detection of inflammation and vulnerable plaques in patients.
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Affiliation(s)
- Kristina Andelovic
- Institute of Experimental Biomedicine, University Hospital Würzburg, 97080 Würzburg, Germany
- Experimental Physics V, University of Würzburg, 97074 Würzburg, Germany; (P.W.); (P.M.J.); (V.H.)
| | - Patrick Winter
- Experimental Physics V, University of Würzburg, 97074 Würzburg, Germany; (P.W.); (P.M.J.); (V.H.)
- Internal Medicine I, Cardiology, University Hospital Würzburg, 97080 Würzburg, Germany;
| | - Peter Michael Jakob
- Experimental Physics V, University of Würzburg, 97074 Würzburg, Germany; (P.W.); (P.M.J.); (V.H.)
| | - Wolfgang Rudolf Bauer
- Internal Medicine I, Cardiology, University Hospital Würzburg, 97080 Würzburg, Germany;
| | - Volker Herold
- Experimental Physics V, University of Würzburg, 97074 Würzburg, Germany; (P.W.); (P.M.J.); (V.H.)
| | - Alma Zernecke
- Institute of Experimental Biomedicine, University Hospital Würzburg, 97080 Würzburg, Germany
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8
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Schomberg DT, Miranpuri GS, Chopra A, Patel K, Meudt JJ, Tellez A, Resnick DK, Shanmuganayagam D. Translational Relevance of Swine Models of Spinal Cord Injury. J Neurotrauma 2017; 34:541-551. [DOI: 10.1089/neu.2016.4567] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Affiliation(s)
- Dominic T. Schomberg
- Biomedical and Genomic Research Group, Department of Animal Sciences, University of Wisconsin–Madison, Wisconsin
| | - Gurwattan S. Miranpuri
- Department of Neurological Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Abhishek Chopra
- Department of Neurological Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Kush Patel
- Department of Neurological Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Jennifer J. Meudt
- Biomedical and Genomic Research Group, Department of Animal Sciences, University of Wisconsin–Madison, Wisconsin
| | | | - Daniel K. Resnick
- Department of Neurological Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Dhanansayan Shanmuganayagam
- Biomedical and Genomic Research Group, Department of Animal Sciences, University of Wisconsin–Madison, Wisconsin
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Hussain B, Yiu BYS, Yu ACH, Lacefield JC, Poepping TL. Investigation of Crossbeam Multi-receiver Configurations for Accurate 3-D Vector Doppler Velocity Estimation. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2016; 63:1786-1798. [PMID: 27824561 DOI: 10.1109/tuffc.2016.2597135] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
An accurate estimation of low blood velocities whose Doppler shifts span the wall filter cutoff, such as near the wall in recirculation or disturbed flow regions, is important for accurate mapping of velocities to achieve improved estimations of wall shear stress and turbulence, which are known risk factors for atherosclerosis and stroke. This paper presents the comparative benefit of increasing the number of receiver beams above three for an improved estimation of low 3-D velocities. The 3-D crossbeam vector Doppler ultrasound configurations were studied in terms of the number of receiver beams, interbeam angle, and beam selection method (criterion for discriminating between tissue and blood Doppler signals) for a range of velocity orientations, which may prove useful in the design of a future 2-D array for vascular imaging. For maximum velocity resolution, a shallow gradient of low flow velocities up to 5 cm/s was generated across a large-diameter (2.46 cm) straight vessel. Data were acquired using a linear array rotated around the central transmit beam axis to generate three- to eight-receiver (3R-8R) configurations;the rotation of each configuration relative to the flow axis was used to mimic a broad range of velocity vector orientations. Accuracy and precision for ≥5 receivers were consistently better over all velocity orientations and for all selection methods. For a velocity magnitude of 2 cm/s, the best accuracy and precision in both magnitude and direction (~21% ± 13%, <1° ± 9°, respectively) were seen with a 5R configuration using a weighted least-squares selection method. Asymmetry in the 5R configuration led to an improved accuracy and precision compared with that in symmetrical 6R and 8R configurations. The results demonstrated relatively little to no benefit from more than five receiver beams.
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Schomberg DT, Tellez A, Meudt JJ, Brady DA, Dillon KN, Arowolo FK, Wicks J, Rousselle SD, Shanmuganayagam D. Miniature Swine for Preclinical Modeling of Complexities of Human Disease for Translational Scientific Discovery and Accelerated Development of Therapies and Medical Devices. Toxicol Pathol 2016; 44:299-314. [DOI: 10.1177/0192623315618292] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Noncommunicable diseases, including cardiovascular disease, diabetes, chronic respiratory disease, and cancer, are the leading cause of death in the world. The cost, both monetary and time, of developing therapies to prevent, treat, or manage these diseases has become unsustainable. A contributing factor is inefficient and ineffective preclinical research, in which the animal models utilized do not replicate the complex physiology that influences disease. An ideal preclinical animal model is one that responds similarly to intrinsic and extrinsic influences, providing high translatability and concordance of preclinical findings to humans. The overwhelming genetic, anatomical, physiological, and pathophysiological similarities to humans make miniature swine an ideal model for preclinical studies of human disease. Additionally, recent development of precision gene-editing tools for creation of novel genetic swine models allows the modeling of highly complex pathophysiology and comorbidities. As such, the utilization of swine models in early research allows for the evaluation of novel drug and technology efficacy while encouraging redesign and refinement before committing to clinical testing. This review highlights the appropriateness of the miniature swine for modeling complex physiologic systems, presenting it as a highly translational preclinical platform to validate efficacy and safety of therapies and devices.
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Affiliation(s)
- Dominic T. Schomberg
- Biomedical & Genomic Research Group, University of Wisconsin–Madison, Madison, Wisconsin, USA
| | | | - Jennifer J. Meudt
- Biomedical & Genomic Research Group, University of Wisconsin–Madison, Madison, Wisconsin, USA
| | | | | | - Folagbayi K. Arowolo
- Biomedical & Genomic Research Group, University of Wisconsin–Madison, Madison, Wisconsin, USA
| | - Joan Wicks
- Alizée Pathology, LLC, Thurmont, Maryland, USA
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