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Assadi H, Grafton-Clarke C, Demirkiran A, van der Geest RJ, Nijveldt R, Flather M, Swift AJ, Vassiliou VS, Swoboda PP, Dastidar A, Greenwood JP, Plein S, Garg P. Mitral regurgitation quantified by CMR 4D-flow is associated with microvascular obstruction post reperfused ST-segment elevation myocardial infarction. BMC Res Notes 2022; 15:181. [PMID: 35570318 PMCID: PMC9107700 DOI: 10.1186/s13104-022-06063-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 05/05/2022] [Indexed: 12/13/2022] Open
Abstract
Objectives Mitral regurgitation (MR) and microvascular obstruction (MVO) are common complications of myocardial infarction (MI). This study aimed to investigate the association between MR in ST-elevation MI (STEMI) subjects with MVO post-reperfusion. STEMI subjects undergoing primary percutaneous intervention were enrolled. Cardiovascular magnetic resonance (CMR) imaging was performed within 48-hours of initial presentation. 4D flow images of CMR were analysed using a retrospective valve tracking technique to quantify MR volume, and late gadolinium enhancement images of CMR to assess MVO. Results Among 69 patients in the study cohort, 41 had MVO (59%). Patients with MVO had lower left ventricular (LV) ejection fraction (EF) (42 ± 10% vs. 52 ± 8%, P < 0.01), higher end-systolic volume (98 ± 49 ml vs. 73 ± 28 ml, P < 0.001) and larger scar volume (26 ± 19% vs. 11 ± 9%, P < 0.001). Extent of MVO was associated with the degree of MR quantified by 4D flow (R = 0.54, P = 0.0003). In uni-variate regression analysis, investigating the association of CMR variables to the degree of acute MR, only the extent of MVO was associated (coefficient = 0.27, P = 0.001). The area under the curve for the presence of MVO was 0.66 (P = 0.01) for MR > 2.5 ml. We conclude that in patients with reperfused STEMI, the degree of acute MR is associated with the degree of MVO.
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Age-associated changes in 4D flow CMR derived Tricuspid Valvular Flow and Right Ventricular Blood Flow Kinetic Energy. Sci Rep 2020; 10:9908. [PMID: 32555252 PMCID: PMC7303161 DOI: 10.1038/s41598-020-66958-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 04/20/2020] [Indexed: 12/30/2022] Open
Abstract
Assessment of right ventricular (RV) diastolic function is not routinely carried out. This is due to standard two-dimensional imaging techniques being unreliable. Four-dimensional flow (4D flow) derived right ventricular blood flow kinetic energy assessment could circumvent the issues of the current imaging modalities. It also remains unknown whether there is an association between right ventricular blood flow kinetic energy (KE) and healthy ageing. We hypothesise that healthy ageing requires maintaining normal RV intra-cavity blood flow as quantified using KE method. The main objective of this study was to investigate the effect of healthy ageing on tricuspid through-plane flow and right ventricular blood flow kinetic energy. In this study, fifty-three healthy participants received a 4D flow cardiovascular magnetic resonance (CMR) scan on 1.5 T Philips Ingenia. Cine segmentation and 4D flow analysis were performed using dedicated software. Standard statistical methods were carried out to investigate the associations. Both RV E-wave KEiEDV (r = −0.3, P = 0.04) and A-wave KEiEDV (r = 0.42, P < 0.01) showed an association with healthy ageing. Additionally, the right ventricular blood flow KEiEDV E/A ratio demonstrated the strongest association with healthy ageing (r = −0.53, P < 0.01) when compared to all RV functional and haemodynamic parameters. Furthermore, in a multivariate regression model, KEiEDV E/A ratio and 4D flow derived tricuspid valve stroke volume demonstrated independent association to healthy ageing (beta −0.02 and 0.68 respectively, P < 0.01). Ageing is independently associated with 4D flow derived tricuspid stroke volume and RV blood flow KE E/A ratio. These novel 4D flow CMR derived imaging markers have future potential for RV diastolic assessment.
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Garg P, Crandon S, Swoboda PP, Fent GJ, Foley JRJ, Chew PG, Brown LAE, Vijayan S, Hassell MECJ, Nijveldt R, Bissell M, Elbaz MSM, Al-Mohammad A, Westenberg JJM, Greenwood JP, van der Geest RJ, Plein S, Dall’Armellina E. Left ventricular blood flow kinetic energy after myocardial infarction - insights from 4D flow cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2018; 20:61. [PMID: 30165869 PMCID: PMC6117925 DOI: 10.1186/s12968-018-0483-6] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 07/20/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Myocardial infarction (MI) leads to complex changes in left ventricular (LV) haemodynamics that are linked to clinical outcomes. We hypothesize that LV blood flow kinetic energy (KE) is altered in MI and is associated with LV function and infarct characteristics. This study aimed to investigate the intra-cavity LV blood flow KE in controls and MI patients, using cardiovascular magnetic resonance (CMR) four-dimensional (4D) flow assessment. METHODS Forty-eight patients with MI (acute-22; chronic-26) and 20 age/gender-matched healthy controls underwent CMR which included cines and whole-heart 4D flow. Patients also received late gadolinium enhancement imaging for infarct assessment. LV blood flow KE parameters were indexed to LV end-diastolic volume and include: averaged LV, minimal, systolic, diastolic, peak E-wave and peak A-wave KEiEDV. In addition, we investigated the in-plane proportion of LV KE (%) and the time difference (TD) to peak E-wave KE propagation from base to mid-ventricle was computed. Association of LV blood flow KE parameters to LV function and infarct size were investigated in all groups. RESULTS LV KEiEDV was higher in controls than in MI patients (8.5 ± 3 μJ/ml versus 6.5 ± 3 μJ/ml, P = 0.02). Additionally, systolic, minimal and diastolic peak E-wave KEiEDV were lower in MI (P < 0.05). In logistic-regression analysis, systolic KEiEDV (Beta = - 0.24, P < 0.01) demonstrated the strongest association with the presence of MI. In multiple-regression analysis, infarct size was most strongly associated with in-plane KE (r = 0.5, Beta = 1.1, P < 0.01). In patients with preserved LV ejection fraction (EF), minimal and in-plane KEiEDV were reduced (P < 0.05) and time difference to peak E-wave KE propagation during diastole increased (P < 0.05) when compared to controls with normal EF. CONCLUSIONS Reduction in LV systolic function results in reduction in systolic flow KEiEDV. Infarct size is independently associated with the proportion of in-plane LV KE. Degree of LV impairment is associated with TD of peak E-wave KE. In patient with preserved EF post MI, LV blood flow KE mapping demonstrated significant changes in the in-plane KE, the minimal KEiEDV and the TD. These three blood flow KE parameters may offer novel methods to identify and describe this patient population.
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Affiliation(s)
- Pankaj Garg
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Saul Crandon
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Peter P. Swoboda
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Graham J. Fent
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - James R. J. Foley
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Pei G. Chew
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Louise A. E. Brown
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Sethumadhavan Vijayan
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Mariëlla E. C. J. Hassell
- Department of Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Robin Nijveldt
- Department of Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Malenka Bissell
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Mohammed S. M. Elbaz
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Jos J. M. Westenberg
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - John P. Greenwood
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Rob J. van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Erica Dall’Armellina
- Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
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Garg P, Saunders LC, Swift AJ, Wild JM, Plein S. Role of cardiac T1 mapping and extracellular volume in the assessment of myocardial infarction. Anatol J Cardiol 2018; 19:404-411. [PMID: 29638222 PMCID: PMC5998858 DOI: 10.14744/anatoljcardiol.2018.39586] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Although late gadolinium enhancement on cardiac magnetic resonance imaging remains the reference standard for scar assessment, it does not provide quantitative information about the extent of pathophysiological changes within the scar tissue. T1 mapping and extracellular volume (ECV) mapping are steadily becoming diagnostic and prognostically useful tests for in vivo myocardial histology, influencing clinical decision-making. Quantitative native T1 maps (acquired without a contrast agent) represent the longitudinal relaxation time within the myocardium and changes with myocardial extracellular water (edema, focal, or diffuse fibrosis), fat, iron, and amyloid protein content. Post-contrast ECV maps estimate the size of the extracellular space and have sensitivity in the identification of interstitial disease. Both pre- and post-contrast T1 mapping are emerging as comprehensive tools for the assessment of numerous conditions including ischemic scarring that occurs post myocardial infarction (MI). This review outlines the current evidence and potential future role of T1 mapping in MI. We conclude by highlighting some of the remaining challenges such as quality control, standardization of image acquisition for clinical practice, and automated methods for quantifying infarct size, area at risk, and myocardial salvage post MI.
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Affiliation(s)
- Pankaj Garg
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield; Sheffield-United Kingdom.
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Foley JRJ, Swoboda PP, Fent GJ, Garg P, McDiarmid AK, Ripley DP, Erhayiem B, Musa TA, Dobson LE, Plein S, Witte KK, Greenwood JP. Quantitative deformation analysis differentiates ischaemic and non-ischaemic cardiomyopathy: sub-group analysis of the VINDICATE trial. Eur Heart J Cardiovasc Imaging 2017; 19:816-823. [DOI: 10.1093/ehjci/jex235] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 09/16/2017] [Indexed: 12/20/2022] Open
Affiliation(s)
- James R J Foley
- Multidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK
| | - Peter P Swoboda
- Multidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK
| | - Graham J Fent
- Multidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK
| | - Pankaj Garg
- Multidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK
| | - Adam K McDiarmid
- Multidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK
| | - David P Ripley
- Multidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK
| | - Bara Erhayiem
- Multidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK
| | - Tarique Al Musa
- Multidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK
| | - Laura E Dobson
- Multidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK
| | - Sven Plein
- Multidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK
| | - Klaus K Witte
- Multidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK
| | - John P Greenwood
- Multidisciplinary Cardiovascular Research Centre (MCRC) & Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Clarendon Way, Leeds LS2 9JT, UK
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Garg P, Broadbent DA, Swoboda PP, Foley JR, Fent GJ, Musa TA, Ripley DP, Erhayiem B, Dobson LE, McDiarmid AK, Haaf P, Kidambi A, Crandon S, Chew PG, van der Geest RJ, Greenwood JP, Plein S. Extra-cellular expansion in the normal, non-infarcted myocardium is associated with worsening of regional myocardial function after acute myocardial infarction. J Cardiovasc Magn Reson 2017; 19:73. [PMID: 28946878 PMCID: PMC5613621 DOI: 10.1186/s12968-017-0384-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Accepted: 08/29/2017] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Expansion of the myocardial extracellular volume (ECV) is a surrogate measure of focal/diffuse fibrosis and is an independent marker of prognosis in chronic heart disease. Changes in ECV may also occur after myocardial infarction, acutely because of oedema and in convalescence as part of ventricular remodelling. The objective of this study was to investigate changes in the pattern of distribution of regional (normal, infarcted and oedematous segments) and global left ventricular (LV) ECV using semi-automated methods early and late after reperfused ST-elevation myocardial infarction (STEMI). METHODS Fifty patients underwent cardiovascular magnetic resonance (CMR) imaging acutely (24 h-72 h) and at convalescence (3 months). The CMR protocol included: cines, T2-weighted (T2 W) imaging, pre-/post-contrast T1-maps and LGE-imaging. Using T2 W and LGE imaging on acute scans, 16-segments of the LV were categorised as normal, oedema and infarct. 800 segments (16 per-patient) were analysed for changes in ECV and wall thickening (WT). RESULTS From the acute studies, 325 (40.6%) segments were classified as normal, 246 (30.8%) segments as oedema and 229 (28.6%) segments as infarct. Segmental change in ECV between acute and follow-up studies (Δ ECV) was significantly different for normal, oedema and infarct segments (0.8 ± 6.5%, -1.78 ± 9%, -2.9 ± 10.9%, respectively; P < 0.001). Normal segments which demonstrated deterioration in wall thickening at follow-up showed significantly increased Δ ECV compared with normal segments with preserved wall thickening at follow up (1.82 ± 6.05% versus -0.10 ± 6.88%, P < 0.05). CONCLUSION Following reperfused STEMI, normal myocardium demonstrates subtle expansion of the extracellular volume at 3-month follow up. Segmental ECV expansion of normal myocardium is associated with worsening of contractile function.
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Affiliation(s)
- Pankaj Garg
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
| | - David A. Broadbent
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
- Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Peter P. Swoboda
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
| | - James R.J. Foley
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
| | - Graham J. Fent
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
| | - Tarique A. Musa
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
| | - David P. Ripley
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
| | - Bara Erhayiem
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
| | - Laura E. Dobson
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
| | - Adam K. McDiarmid
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
| | - Philip Haaf
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
| | - Ananth Kidambi
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
| | - Saul Crandon
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
| | - Pei G. Chew
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
| | - R. J. van der Geest
- Division of Image Processing, Leiden University Medical Centre, Leiden, The Netherlands
| | - John P. Greenwood
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
| | - Sven Plein
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT UK
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The utility of global longitudinal strain in the identification of prior myocardial infarction in patients with preserved left ventricular ejection fraction. Int J Cardiovasc Imaging 2017; 33:1561-1569. [PMID: 28421305 PMCID: PMC5676834 DOI: 10.1007/s10554-017-1138-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Accepted: 04/09/2017] [Indexed: 12/28/2022]
Abstract
Prior myocardial infarction (MI) is associated with increased mortality and is prevalent in certain high risk patient groups. Electrocardiogram may be used in diagnosis, however, sensitivity is limited, thus non-invasive imaging techniques may improve diagnosis. We investigated whether global longitudinal strain (GLS) and longitudinal strain parameters are reduced in patients with prior MI but preserved left ventricular ejection fraction (LVEF). The study included 40 clinical patients with prior MI occurring >3 months previously (defined as subendocardial hyperenhancement on late Gadolinium enhancement imaging) with LVEF ≥ 55% and 40 controls matched for age and LVEF. GLS, global longitudinal strain rate (GLSR) and early diastolic longitudinal strain rate (GLSRe) were measured from cine imaging feature tracking analysis. Presence of wall motion abnormality (WMA) and minimum systolic wall thickening (SWT) were calculated from cine imaging. GLS was −17.3 ± 3.7% in prior MI versus −19.3 ± 1.9% in controls (p = 0.012). GLSR was −88.0 ± 33.7%/s in prior MI versus −103.3 ± 26.5%/s in controls (p = 0.005). GLSRe was 76.4 ± 28.4%/s in prior MI versus 95.5 ± 26.0%/s in controls (p = 0.001). GLS accurately identified prior MI [AUC 0.662 (95% CI 0.54–0.785) p = 0.012] whereas WMA [AUC 0.500 (95% CI 0.386–0.614) p = 1.0] and minimum SWT [AUC 0.609 (95% CI 0.483–0.735) p = 0.093] did not. GLS, GLSR and GLSRe are reduced in prior MI with preserved LVEF. Normal LVEF and lack of WMA cannot exclude prior MI. Prior MI should be considered when reduced GLS, GLSR or GLSRe are detected by non-invasive imaging.
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