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Onishi R, Ueda J, Ide S, Koseki M, Sakata Y, Saito S. Application of Magnetic Resonance Strain Analysis Using Feature Tracking in a Myocardial Infarction Model. Tomography 2023; 9:871-882. [PMID: 37104142 PMCID: PMC10141923 DOI: 10.3390/tomography9020071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 04/04/2023] [Accepted: 04/13/2023] [Indexed: 04/28/2023] Open
Abstract
This study validates the usefulness of myocardial strain analysis with cardiac cine magnetic resonance imaging (MRI) by evaluating the changes in the cardiac function and myocardial strain values longitudinally in a myocardial disease model. Six eight-week-old male Wistar rats were used as a model of myocardial infarction (MI). Cine images were taken in the short axis, two-chamber view longitudinal axis, and four-chamber view longitudinal axis directions in rats 3 and 9 days after MI and in control rats, with preclinical 7-T MRI. The control images and the images on days 3 and 9 were evaluated by measuring the ventricular ejection fraction (EF) and the strain values in the circumferential (CS), radial (RS), and longitudinal directions (LS). The CS decreased significantly 3 days after MI, but there was no difference between the images on days 3 and 9. The two-chamber view LS was -9.7 ± 2.1% at 3 days and -13.9 ± 1.4% at 9 days after MI. The four-chamber view LS was -9.9 ± 1.5% at 3 days and -11.9 ± 1.3% at 9 days after MI. Both the two- and four-chamber LS values were significantly decreased 3 days after MI. Myocardial strain analysis is, therefore, useful for assessing the pathophysiology of MI.
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Affiliation(s)
- Ryutaro Onishi
- Department of Medical Physics and Engineering, Area of Medical Imaging Technology and Science, Division of Health Sciences, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
- Division of Clinical Radiology Service, Kyoto University Hospital, Kyoto 606-8507, Japan
| | - Junpei Ueda
- Department of Medical Physics and Engineering, Area of Medical Imaging Technology and Science, Division of Health Sciences, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
| | - Seiko Ide
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
| | - Masahiro Koseki
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
| | - Yasushi Sakata
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
| | - Shigeyoshi Saito
- Department of Medical Physics and Engineering, Area of Medical Imaging Technology and Science, Division of Health Sciences, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan
- Department of Advanced Medical Technologies, National Cerebral and Cardiovascular Center Research Institute, Osaka 564-8565, Japan
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2
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Siddiqui HB, Dogru S, Lashkarinia SS, Pekkan K. Soft-Tissue Material Properties and Mechanogenetics during Cardiovascular Development. J Cardiovasc Dev Dis 2022; 9:jcdd9020064. [PMID: 35200717 PMCID: PMC8876703 DOI: 10.3390/jcdd9020064] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 01/22/2022] [Accepted: 01/28/2022] [Indexed: 12/17/2022] Open
Abstract
During embryonic development, changes in the cardiovascular microstructure and material properties are essential for an integrated biomechanical understanding. This knowledge also enables realistic predictive computational tools, specifically targeting the formation of congenital heart defects. Material characterization of cardiovascular embryonic tissue at consequent embryonic stages is critical to understand growth, remodeling, and hemodynamic functions. Two biomechanical loading modes, which are wall shear stress and blood pressure, are associated with distinct molecular pathways and govern vascular morphology through microstructural remodeling. Dynamic embryonic tissues have complex signaling networks integrated with mechanical factors such as stress, strain, and stiffness. While the multiscale interplay between the mechanical loading modes and microstructural changes has been studied in animal models, mechanical characterization of early embryonic cardiovascular tissue is challenging due to the miniature sample sizes and active/passive vascular components. Accordingly, this comparative review focuses on the embryonic material characterization of developing cardiovascular systems and attempts to classify it for different species and embryonic timepoints. Key cardiovascular components including the great vessels, ventricles, heart valves, and the umbilical cord arteries are covered. A state-of-the-art review of experimental techniques for embryonic material characterization is provided along with the two novel methods developed to measure the residual and von Mises stress distributions in avian embryonic vessels noninvasively, for the first time in the literature. As attempted in this review, the compilation of embryonic mechanical properties will also contribute to our understanding of the mature cardiovascular system and possibly lead to new microstructural and genetic interventions to correct abnormal development.
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Affiliation(s)
- Hummaira Banu Siddiqui
- Department of Mechanical Engineering, Koc University, Istanbul 34450, Turkey; (H.B.S.); (S.D.); (S.S.L.)
| | - Sedat Dogru
- Department of Mechanical Engineering, Koc University, Istanbul 34450, Turkey; (H.B.S.); (S.D.); (S.S.L.)
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - Seyedeh Samaneh Lashkarinia
- Department of Mechanical Engineering, Koc University, Istanbul 34450, Turkey; (H.B.S.); (S.D.); (S.S.L.)
- Department of Bioengineering, Imperial College London, London SW7 2BX, UK
| | - Kerem Pekkan
- Department of Mechanical Engineering, Koc University, Istanbul 34450, Turkey; (H.B.S.); (S.D.); (S.S.L.)
- Correspondence: ; Tel.: +90-(533)-356-3595
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3
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Earl CC, Damen FW, Yin M, Aasa KL, Burris SK, Goergen CJ. Strain Estimation of the Murine Right Ventricle Using High-Frequency Speckle-Tracking Ultrasound. Ultrasound Med Biol 2021; 47:3291-3300. [PMID: 34373135 PMCID: PMC8488001 DOI: 10.1016/j.ultrasmedbio.2021.07.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 06/28/2021] [Accepted: 07/03/2021] [Indexed: 05/25/2023]
Abstract
Right ventricular (RV) strain measurements from ultrasound via speckle-tracking techniques are being used more frequently as a non-invasive diagnostic tool for a variety of cardiopulmonary pathologies. However, despite the clinical utility of ultrasound RV strain measurements, quantification of RV strain in rodents remains difficult owing to unique image artifacts and non-standardized methodologies. We demonstrate here a simple approach for measuring RV strain in both mice and rats using high-frequency ultrasound and automated speckle tracking. Our results show estimated peak RV free-wall longitudinal strain values (mean ± standard error of the mean) in mice (n = 15) and rats (n = 5) of, respectively, -10.38% ± 0.4% and -4.85% ± 0.42%. We further estimated the 2-D Green-Lagrange strain within the RV free wall, with longitudinal components estimated at -5.7% ± 0.48% in mice and -2.1% ± 0.28% in rats. These methods and data may provide a foundation for future work aimed at evaluating murine RV strain levels in different disease models.
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Affiliation(s)
- Conner C Earl
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Frederick W Damen
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA
| | - Melissa Yin
- Fujifilm VisualSonics Inc., Toronto, Ontario, Canada
| | | | | | - Craig J Goergen
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, USA.
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Malagoli A, Albini A, Mandoli GE, Baggiano A, Vinco G, Bandera F, D'Andrea A, Esposito R, D'Ascenzi F, Sorrentino R, Santoro C, Benfari G, Contorni F, Cameli M. Multimodality imaging of the ischemic right ventricle: an overview and proposal of a diagnostic algorithm. Int J Cardiovasc Imaging 2021; 37:3343-3354. [PMID: 34114150 DOI: 10.1007/s10554-021-02309-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 06/04/2021] [Indexed: 10/21/2022]
Abstract
Right ventricular (RV) involvement is frequently detected in patients presenting with acute left ventricular myocardial infarction. The ischemic right ventricle carries a dismal outcome by predisposing the heart to arrhythmic events and mechanical or hemodynamic complications. A comprehensive RV evaluation by multimodality imaging could guide clinical practice but has always been a conundrum for the imagers. Two-dimensional echocardiography is the best first-line tool due to its availability of bedside capabilities. More advanced imaging techniques provide a more comprehensive evaluation of the complex RV geometry but are mostly reserved for the post-acute setting. Three-dimensional echocardiography has improved the evaluation of RV volumes and function. The recent application of speckle-tracking echocardiography to the right ventricle appears promising, allowing the earlier detection of subtle RV dysfunction. Cardiac magnetic resonance imaging is considered the gold standard for the RV assessment. Cardiac multidetector computed tomography could be a reliable alternative. The aim of this review is to focus on the growing importance of multimodality imaging of the ischemic right ventricle and to propose a diagnostic algorithm, in order to reach a comprehensive assessment of this too frequently neglected chamber.
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Affiliation(s)
- A Malagoli
- Division of Cardiology, Nephro-Cardiovascular Department, Baggiovara Hospital, University of Modena and Reggio Emilia, Modena, Italy.
| | - A Albini
- Division of Cardiology, Nephro-Cardiovascular Department, Policlinico University Hospital of Modena, University of Modena and Reggio Emilia, Modena, Italy
| | - G E Mandoli
- Department of Cardiovascular Diseases, University of Siena, Siena, Italy
| | - A Baggiano
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Milan, Italy.,Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - G Vinco
- Department of Medicine, University of Verona, Verona, Italy
| | - F Bandera
- Cardiology University Department, Heart Failure Unit, Department of Biomedical Sciences for Health, IRCCS, Policlinico San Donato, San Donato Milanese, Milan, Italy.,Department of Biomedical Sciences for Health, University of Milano, Milan, Italy
| | - A D'Andrea
- Division of Cardiology, Umberto I' Hospital Nocera Inferiore (Salerno), Luigi Vanvitelli University, Caserta, Italy
| | - R Esposito
- Department of Advanced Biomedical Science, Federico II University Hospital Naples, Naples, Italy
| | - F D'Ascenzi
- Department of Cardiovascular Diseases, University of Siena, Siena, Italy
| | - R Sorrentino
- Department of Advanced Biomedical Science, Federico II University Hospital Naples, Naples, Italy
| | - C Santoro
- Department of Advanced Biomedical Science, Federico II University Hospital Naples, Naples, Italy
| | - G Benfari
- Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy
| | - F Contorni
- Department of Cardiovascular Diseases, University of Siena, Siena, Italy
| | - M Cameli
- Department of Cardiovascular Diseases, University of Siena, Siena, Italy
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Espe EKS, Bendiksen BA, Zhang L, Sjaastad I. Analysis of right ventricular mass from magnetic resonance imaging data: a simple post-processing algorithm for correction of partial-volume effects. Am J Physiol Heart Circ Physiol 2021; 320:H912-H922. [PMID: 33337965 DOI: 10.1152/ajpheart.00494.2020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 12/14/2020] [Indexed: 11/22/2022]
Abstract
Magnetic resonance imaging (MRI) of the right ventricle (RV) offers important diagnostic information, but the accuracy of this information is hampered by the complex geometry of the RV. Here, we propose a novel postprocessing algorithm that corrects for partial-volume effects in the analysis of standard MRI cine images of RV mass (RVm) and evaluate the method in clinical and preclinical data. Self-corrected RVm measurement was compared with conventionally measured RVm in 16 patients who showed different clinical indications for cardiac MRI and in 17 Wistar rats with different degrees of pulmonary congestion. The rats were studied under isoflurane anaesthesia. To evaluate the reliability of the proposed method, the measured end-systolic and end-diastolic RVm were compared. Accuracy was evaluated by comparing preclinical RVm to ex vivo RV weight (RVw). We found that use of the self-correcting algorithm improved reliability compared with conventional segmentation. For clinical data, the limits of agreement (LOAs) were -1.8 ± 8.6g (self-correcting) vs. 5.8 ± 7.8g (conventional), and coefficients of variation (CoVs) were 7.0% (self-correcting) vs. 14.3% (conventional). For preclinical data, LOAs were 21 ± 46 mg (self-correcting) vs. 64 ± 89 mg (conventional), and CoVs were 9.0% (self-correcting) and 17.4% (conventional). Self-corrected RVm also showed better correspondence with the ex vivo RVw: LOAs were -5 ± 80 mg (self-correcting) vs. 94 ± 116 mg (conventional) in end-diastole and -26 ± 74 mg (self-correcting) vs. 31 ± 98 mg (conventional) in end-systole. The new self-correcting algorithm improves the reliability and accuracy of RVm measurements in both clinical and preclinical MRI. It is simple and easy to implement and does not require any additional MRI data.NEW & NOTEWORTHY Magnetic resonance imaging (MRI) of the right ventricle (RV) offers important diagnostic information, but the accuracy of this information is hampered by the complex geometry of the RV. In particular, the crescent shape of the RV renders it particularly vulnerable to partial-volume effects. We present a new, simple, self-correcting algorithm that can be applied to correct partial-volume effects in MRI-based RV mass estimation. The self-correcting algorithm offers improved reliability and accuracy compared with the conventional approach.
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Affiliation(s)
- Emil K S Espe
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Nydalen, Oslo, Norway
- K. G. Jebsen Centre for Cardiac Research, University of Oslo, Nydalen, Oslo, Norway
| | - Bård A Bendiksen
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Nydalen, Oslo, Norway
- K. G. Jebsen Centre for Cardiac Research, University of Oslo, Nydalen, Oslo, Norway
- Bjørknes University College, Oslo, Norway
| | - Lili Zhang
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Nydalen, Oslo, Norway
- K. G. Jebsen Centre for Cardiac Research, University of Oslo, Nydalen, Oslo, Norway
| | - Ivar Sjaastad
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Nydalen, Oslo, Norway
- K. G. Jebsen Centre for Cardiac Research, University of Oslo, Nydalen, Oslo, Norway
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Nordén ES, Bendiksen BA, Andresen H, Bergo KK, Espe EK, Hasic A, Hauge-Iversen IM, Veras I, Hussain RI, Sjaastad I, Christensen G, Cataliotti A. Sacubitril/valsartan ameliorates cardiac hypertrophy and preserves diastolic function in cardiac pressure overload. ESC Heart Fail 2021; 8:918-927. [PMID: 33497525 PMCID: PMC8006657 DOI: 10.1002/ehf2.13177] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 10/15/2020] [Accepted: 12/07/2020] [Indexed: 12/11/2022] Open
Abstract
Aims Sacubitril/valsartan (sac/val) has shown superior effect compared with blockade of the renin–angiotensin–aldosterone system in heart failure with reduced ejection fraction. We aimed to investigate effects of sac/val compared with valsartan in a pressure overload model of heart failure with preserved ejection fraction (HFpEF). Methods and results Sprague–Dawley rats underwent aortic banding or sham (n = 16) surgery and were randomized to sac/val (n = 28), valsartan (n = 29), or vehicle (n = 26) treatment for 8 weeks. Sac/val reduced left ventricular weight by 11% compared with vehicle (P = 0.01) and 9% compared with valsartan alone (P = 0.04). Only valsartan reduced blood pressure compared with sham (P = 0.02). Longitudinal early diastolic strain rate was preserved in sac/val compared with sham, while it was reduced by 23% in vehicle (P = 0.03) and 24% in valsartan (P = 0.02). Diastolic dysfunction, measured by E/e'SR, increased by 68% in vehicle (P < 0.01) and 80% in valsartan alone (P < 0.001), while sac/val showed no increase. Neither sac/val nor valsartan prevented interstitial fibrosis. Although ejection fraction was preserved, we observed mild systolic dysfunction, with vehicle showing a 28% decrease in longitudinal strain (P < 0.01). Neither sac/val nor valsartan treatment improved this dysfunction. Conclusions In a model of HFpEF induced by cardiac pressure overload, sac/val reduced hypertrophy compared with valsartan alone and ameliorated diastolic dysfunction. These effects were independent of blood pressure. Early systolic dysfunction was not affected, supporting the notion that sac/val has the largest potential in conditions characterized by reduced ejection fraction. Observed anti‐hypertrophic effects in preserved ejection fraction implicate potential benefit of sac/val in the clinical setting of hypertrophic remodelling and impaired diastolic function.
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Affiliation(s)
- Einar Sjaastad Nordén
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,Department for Health Sciences, Bjørknes University College, Oslo, Norway.,KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway.,Center for Heart Failure Research, Oslo University Hospital, Oslo, Norway
| | - Bård Andre Bendiksen
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,Department for Health Sciences, Bjørknes University College, Oslo, Norway.,KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway.,Center for Heart Failure Research, Oslo University Hospital, Oslo, Norway
| | - Henriette Andresen
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Kaja Knudsen Bergo
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway.,Center for Heart Failure Research, Oslo University Hospital, Oslo, Norway
| | - Emil Knut Espe
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,Department for Health Sciences, Bjørknes University College, Oslo, Norway.,KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway.,Center for Heart Failure Research, Oslo University Hospital, Oslo, Norway
| | - Almira Hasic
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway.,Center for Heart Failure Research, Oslo University Hospital, Oslo, Norway
| | - Ida Marie Hauge-Iversen
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway.,Center for Heart Failure Research, Oslo University Hospital, Oslo, Norway
| | - Ioanni Veras
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway.,Center for Heart Failure Research, Oslo University Hospital, Oslo, Norway
| | | | - Ivar Sjaastad
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,Department for Health Sciences, Bjørknes University College, Oslo, Norway.,KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway.,Center for Heart Failure Research, Oslo University Hospital, Oslo, Norway
| | - Geir Christensen
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway.,Center for Heart Failure Research, Oslo University Hospital, Oslo, Norway
| | - Alessandro Cataliotti
- Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,KG Jebsen Center for Cardiac Research, University of Oslo, Oslo, Norway.,Center for Heart Failure Research, Oslo University Hospital, Oslo, Norway
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