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Scully PR, Bastarrika G, Moon JC, Treibel TA. Myocardial Extracellular Volume Quantification by Cardiovascular Magnetic Resonance and Computed Tomography. Curr Cardiol Rep 2018; 20:15. [PMID: 29511861 PMCID: PMC5840231 DOI: 10.1007/s11886-018-0961-3] [Citation(s) in RCA: 92] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE OF REVIEW This review article discusses the evolution of extracellular volume (ECV) quantification using both cardiovascular magnetic resonance (CMR) and computed tomography (CT). RECENT FINDINGS Visualizing diffuse myocardial fibrosis is challenging and until recently, was restricted to the domain of the pathologist. CMR and CT both use extravascular, extracellular contrast agents, permitting ECV measurement. The evidence base around ECV quantification by CMR is growing rapidly and just starting in CT. In conditions with high ECV (amyloid, oedema and fibrosis), this technique is already being used clinically and as a surrogate endpoint. Non-invasive diffuse fibrosis quantification is also generating new biological insights into key cardiac diseases. CMR and CT can estimate ECV and in turn diffuse myocardial fibrosis, obviating the need for invasive endomyocardial biopsy. CT is an attractive alternative to CMR particularly in those individuals with contraindications to the latter. Further studies are needed, particularly in CT.
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Affiliation(s)
- Paul R. Scully
- Cardiac Imaging Department, Barts Heart Centre, St Bartholomew’s Hospital, 2nd Floor, King George V Building, West Smithfield, London, EC1A 7BE UK
- Institute of Cardiovascular Science, University College London, Gower Street, London, WC1E 6BT UK
| | - Gorka Bastarrika
- Clínica Universidad de Navarra, University of Navarra, Avda/Pio XII 55, 31008 Pamplona, Spain
| | - James C. Moon
- Cardiac Imaging Department, Barts Heart Centre, St Bartholomew’s Hospital, 2nd Floor, King George V Building, West Smithfield, London, EC1A 7BE UK
- Institute of Cardiovascular Science, University College London, Gower Street, London, WC1E 6BT UK
| | - Thomas A. Treibel
- Cardiac Imaging Department, Barts Heart Centre, St Bartholomew’s Hospital, 2nd Floor, King George V Building, West Smithfield, London, EC1A 7BE UK
- Institute of Cardiovascular Science, University College London, Gower Street, London, WC1E 6BT UK
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Cavalcante JL, Rijal S, Abdelkarim I, Althouse AD, Sharbaugh MS, Fridman Y, Soman P, Forman DE, Schindler JT, Gleason TG, Lee JS, Schelbert EB. Cardiac amyloidosis is prevalent in older patients with aortic stenosis and carries worse prognosis. J Cardiovasc Magn Reson 2017; 19:98. [PMID: 29212513 PMCID: PMC5719789 DOI: 10.1186/s12968-017-0415-x] [Citation(s) in RCA: 140] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Accepted: 11/23/2017] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Non-invasive cardiac imaging allows detection of cardiac amyloidosis (CA) in patients with aortic stenosis (AS). Our objective was to estimate the prevalence of clinically suspected CA in patients with moderate and severe AS referred for cardiovascular magnetic resonance (CMR) in age and gender categories, and assess associations between AS-CA and all-cause mortality. METHODS We retrospectively identified consecutive AS patients defined by echocardiography referred for further CMR assessment of valvular, myocardial, and aortic disease. CMR identified CA based on typical late-gadolinium enhancement (LGE) patterns, and ancillary clinical evaluation identified suspected CA. Survival analysis with the Log rank test and Cox regression compared associations between CA and mortality. RESULTS There were 113 patients (median age 74 years, Q1-Q3: 62-82 years), 96 (85%) with severe AS. Suspected CA was present in 9 patients (8%) all > 80 years. Among those over the median age of 74 years, the prevalence of CA was 9/57 (16%), and excluding women, the prevalence was 8/25 (32%). Low-flow, low-gradient physiology was very common in CA (7/9 patients or 78%). Over a median follow-up of 18 months, 40 deaths (35%) occurred. Mortality in AS + CA patients was higher than AS alone (56% vs. 20% at 1-year, log rank 15.0, P < 0.0001). Adjusting for aortic valve replacement modeled as a time-dependent covariate, Society of Thoracic Surgery predicted risk of mortality, left ventricular ejection fraction, CA remained associated with all-cause mortality (HR = 2.92, 95% CI = 1.09-7.86, P = 0.03). CONCLUSIONS Suspected CA appears prevalent among older male patients with AS, especially with low flow, low gradient AS, and associates with all-cause mortality. The importance of screening for CA in older AS patients and optimal treatment strategies in those with CA warrant further investigation, especially in the era of transcatheter aortic valve implantation.
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Affiliation(s)
- João L. Cavalcante
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, 200 Lothrop Street, Scaife Hall S-558, Pittsburgh, PA 15213 USA
- UPMC Cardiovascular Magnetic Resonance Center, Heart and Vascular Institute, Pittsburgh, Pennsylvania, USA
| | - Shasank Rijal
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, 200 Lothrop Street, Scaife Hall S-558, Pittsburgh, PA 15213 USA
| | - Islam Abdelkarim
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, 200 Lothrop Street, Scaife Hall S-558, Pittsburgh, PA 15213 USA
| | - Andrew D. Althouse
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, 200 Lothrop Street, Scaife Hall S-558, Pittsburgh, PA 15213 USA
| | - Michael S. Sharbaugh
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, 200 Lothrop Street, Scaife Hall S-558, Pittsburgh, PA 15213 USA
| | - Yaron Fridman
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, 200 Lothrop Street, Scaife Hall S-558, Pittsburgh, PA 15213 USA
- UPMC Cardiovascular Magnetic Resonance Center, Heart and Vascular Institute, Pittsburgh, Pennsylvania, USA
| | - Prem Soman
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, 200 Lothrop Street, Scaife Hall S-558, Pittsburgh, PA 15213 USA
| | - Daniel E. Forman
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, 200 Lothrop Street, Scaife Hall S-558, Pittsburgh, PA 15213 USA
| | - John T. Schindler
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, 200 Lothrop Street, Scaife Hall S-558, Pittsburgh, PA 15213 USA
| | - Thomas G. Gleason
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, 200 Lothrop Street, Scaife Hall S-558, Pittsburgh, PA 15213 USA
| | - Joon S. Lee
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, 200 Lothrop Street, Scaife Hall S-558, Pittsburgh, PA 15213 USA
| | - Erik B. Schelbert
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, 200 Lothrop Street, Scaife Hall S-558, Pittsburgh, PA 15213 USA
- UPMC Cardiovascular Magnetic Resonance Center, Heart and Vascular Institute, Pittsburgh, Pennsylvania, USA
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Yeung J, Sivarajan S, Treibel TA, Rosmini S, Fontana M, Gillmore JD, Hawkins PN, Punwani S, Moon JC, Taylor SA, Bandula S. Measurement of liver and spleen interstitial volume in patients with systemic amyloid light-chain amyloidosis using equilibrium contrast CT. Abdom Radiol (NY) 2017; 42:2646-2651. [PMID: 28567484 DOI: 10.1007/s00261-017-1194-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
OBJECTIVES To investigate equilibrium contrast-enhanced CT (EQ-CT) measurement of extracellular volume fraction (ECV) in patients with systemic amyloid light-chain (AL) amyloidosis, testing the hypothesis that ECV becomes elevated in the liver and spleen and ECV correlates with other estimates of organ amyloid burden. METHODS 26 patients with AL amyloidosis underwent EQ-CT, and ECV was measured in the liver and spleen. Patients also underwent serum amyloid P (SAP) component scintigraphy with grading of liver and spleen involvement. Mann-Whitney U test was used to test for a difference between patients with amyloid deposition (SAP grade 1-3) and those without (SAP grade 0). Variation in ECV across SAP grades was assessed using the Kruskal-Wallis test and association between ECV and SAP grades with Spearman correlation. RESULTS Mean ECV in the spleen and liver was significantly greater (p < 0.0005) in amyloidotic organs (SAP grade 1-3) [spleen, liver: 0.430, 0.375] compared with healthy tissues [spleen, liver: 0.304, 0.269]. ECV increased with increasing amyloid burden, showing positive correlation with SAP grade in both the liver (r = 0.758) and spleen (r = 0.867). CONCLUSION In patients with systemic AL amyloidosis, EQ-CT can demonstrate increased spleen and liver ECV, which is associated with amyloid disease burden.
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El volumen extracelular no se asocia a arritmias malignas en miocardiopatía hipertrófica de alto riesgo. Rev Esp Cardiol (Engl Ed) 2017. [DOI: 10.1016/j.recesp.2017.01.029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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105
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Cardiac Tissue Characterization and Imaging in Autoimmune Rheumatic Diseases. JACC Cardiovasc Imaging 2017; 10:1387-1396. [DOI: 10.1016/j.jcmg.2017.08.017] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Revised: 08/25/2017] [Accepted: 08/29/2017] [Indexed: 02/07/2023]
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White JA, Fine NM. Recent Advances in Cardiovascular Imaging Relevant to the Management of Patients with Suspected Cardiac Amyloidosis. Curr Cardiol Rep 2017; 18:77. [PMID: 27319007 DOI: 10.1007/s11886-016-0752-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Cardiac amyloidosis is a form of infiltrative cardiomyopathy typically presenting with progressive heart failure. The clinical presentation and morphological findings often overlap with other cardiovascular diseases, and frequently results in misdiagnosis and consequent under-reporting. Cardiovascular imaging is playing an increasingly important diagnostic and prognostic role in this referral population, and is reducing the reliance on endomyocardial biopsy as a confirmatory testing. Advancements across multiple cardiac imaging modalities, including echocardiography, magnetic resonance imaging, nuclear imaging, and computed tomography, are improving diagnostic accuracy and offering novel approaches to sub-type differentiation and prognostication. This review explores recent advancements in cardiac imaging for the diagnosis, typing, and staging of cardiac amyloidosis, with a focus on new and evolving techniques. Emphasis is also placed on the promise of non-invasive cardiac imaging to provide value across the spectrum of this clinical disease, from early disease identification (prior to the development of increased wall thickness) through to markers of advanced disease associated with early mortality.
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Affiliation(s)
- James A White
- Stephenson Cardiovascular Imaging Center, University of Calgary, Calgary, Alberta, Canada. .,Division of Cardiology, Department of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, Cummings School of Medicine, University of Calgary, Calgary, Alberta, Canada. .,Stephenson Cardiovascular Imaging Center, Foothills Medical Centre Suite #0700, SSB, 1403-29 Street NW, Calgary, Alberta, T2N 2T9, Canada.
| | - Nowell M Fine
- Division of Cardiology, Department of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, Cummings School of Medicine, University of Calgary, Calgary, Alberta, Canada.,South Health Campus, 4448 Front Street SE, Calgary, Alberta, T3M 1M4, Canada
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Abstract
Aortic stenosis (AS) is the most common primary valve disorder in the elderly with an increasing prevalence. It is increasingly clear that it is also a disease of the left ventricle (LV) rather than purely the aortic valve. The transition from left ventricular hypertrophy to fibrosis results in the eventual adverse effects on systolic and diastolic function. Appropriate selection of patients for aortic valve intervention is crucial, and current guidelines recommend aortic valve replacement in severe AS with symptoms or in asymptomatic patients with left ventricular ejection fraction (LVEF) <50 %. LVEF is not a sensitive marker and there are other parameters used in multimodality imaging techniques, including longitudinal strain, exercise stress echo and cardiac MRI that may assist in detecting subclinical and subtle LV dysfunction. These findings offer potentially better ways to evaluate patients, time surgery, predict recovery and potentially offer targets for specific therapies. This article outlines the pathophysiology behind the LV response to aortic stenosis and the role of advanced multimodality imaging in describing it.
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108
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Abstract
Cardiac computed tomography (CT) is increasingly used in the evaluation of cardiomyopathies, particularly in patients who are not able to undergo other non-invasive imaging tests such as magnetic resonance imaging (MRI) due to the presence of MRI-incompatible pacemakers/defibrillators or other contraindications or due to extensive artifacts from indwelling metallic devices. Advances in scanner technology enable acquisition of CT images with high spatial resolution, good temporal resolution, wide field of view and multi-planar reconstruction capabilities. CT is useful in cardiomyopathies in several ways, particularly in the evaluation of coronary arteries, characterization of cardiomyopathy phenotype, quantification of cardiac volumes and function, treatment-planning, and post-treatment evaluation. In this article, we review the imaging techniques and specific applications of CT in the evaluation of cardiomyopathies.
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Affiliation(s)
- Kevin Kalisz
- University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - Prabhakar Rajiah
- Cardiothoracic Imaging, Radiology Department, UT Southwestern Medical Center, Dallas, Texas, USA
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109
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Myocardial iodine concentration measurement using dual-energy computed tomography for the diagnosis of cardiac amyloidosis: a pilot study. Eur Radiol 2017; 28:816-823. [PMID: 28812126 DOI: 10.1007/s00330-017-4984-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2016] [Revised: 07/01/2017] [Accepted: 07/10/2017] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To measure myocardium iodine concentration (MIC) in patients with cardiac amyloidosis (CA) using dual-energy computed tomography (DECT). METHODS Twenty-two patients with CA, 13 with non-amyloid hypertrophic cardiomyopathies (CH) and 10 control patients were explored with pre-contrast, arterial and 5-minute DECT acquisition (Iomeprol; 1.5 mL/kg). Inter-ventricular septum (IVS) thickness, blood pool iodine concentration (BPIC), MIC (mg/mL), iodine ratio and extra-cellular volume (ECV) were calculated. RESULTS IVS thickness was significantly (p < 0.001) higher in CA (17 ± 4 mm) and CH (15 ± 3 mm) patients than in control patients (10 ± 1 mm). CA patients exhibited significantly (p < 0.001) higher 5-minute MIC [2.6 (2.3-3.1) mg/mL], 5-minute iodine ratio (0.88 ± 0.12) and ECV (0.56 ± 0.07) than CH [1.7 (1.4-2.2) mg/mL, 0.57 ± 0.07 and 0.36 ± 0.05, respectively] and control patients [1.9 (1.7-2.4) mg/mL, 0.58 ± 0.07 and 0.35 ± 0.04, respectively). CH and control patients exhibited similar values (p = 0.9). The area under the curve of 5-minute iodine ratio for the differential diagnosis of CA from CH patients was 0.99 (0.73-1.0; p = 0.001). With a threshold of 0.65, the sensitivity and specificity of 5-minute iodine ratio were 100% and 92%, respectively. CONCLUSION Five-minute MIC and iodine ratio were increased in CA patients and exhibited best diagnosis performance to diagnose CA in comparison to other parameters. KEY POINT • Dual-energy computed tomography can be used to detect cardiac amyloidosis • Five-minute myocardial iodine concentration and iodine ratio increase in cardiac amyloidosis • Among iodine parameters, 5-minute iodine ratio has the best diagnosis performance.
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111
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Pai RG, Varadarajan P. Deeper Into Cardiac Amyloid: Potential for Improved Outcomes. JACC Cardiovasc Imaging 2017; 10:408-410. [PMID: 27639762 DOI: 10.1016/j.jcmg.2016.05.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Accepted: 05/12/2016] [Indexed: 10/21/2022]
Affiliation(s)
- Ramdas G Pai
- University of California Riverside School of Medicine/St. Bernardine Medical Center, San Bernardino, California.
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112
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Mirelis JG, Sánchez-González J, Zorio E, Ripoll-Vera T, Salguero-Bodes R, Filgueiras-Rama D, González-López E, Gallego-Delgado M, Fernández-Jiménez R, Soleto MJ, Núñez J, Pizarro G, Sanz J, Fuster V, García-Pavía P, Ibáñez B. Myocardial Extracellular Volume Is Not Associated With Malignant Ventricular Arrhythmias in High-risk Hypertrophic Cardiomyopathy. ACTA ACUST UNITED AC 2017; 70:933-940. [PMID: 28341414 DOI: 10.1016/j.rec.2017.01.026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2016] [Accepted: 01/25/2017] [Indexed: 10/19/2022]
Abstract
INTRODUCTION AND OBJECTIVES Myocardial interstitial fibrosis, a hallmark of hypertrophic cardiomyopathy (HCM), has been proposed as an arrhythmic substrate. Fibrosis is associated with increased extracellular volume (ECV), which can be quantified by computed tomography (CT). We aimed to analyze the association between CT-determined ECV and malignant ventricular arrhythmias. METHODS A retrospective case-control observational study was conducted in HCM patients with implantable cardioverter-defibrillator, undergoing a CT-protocol with continuous iodine contrast infusion to determine equilibrium ECV. Left ventricular septal and lateral CT-determined ECV was compared between prespecified cases (malignant arrhythmia any time before CT scan) and controls (no prior malignant arrhythmias) and among ECV tertiles. RESULTS A total of 78 implantable cardioverter-defibrillator HCM patients were included; 24 were women, with a mean age of 52.1 ± 15.6 years. Mean ECV ± standard deviation in the septal left ventricular wall and was 29.8% ± 6.3% in cases (n = 24) vs 31.9% ± 8.5% in controls (n = 54); P = .282. Mean ECV in the lateral wall was 24.5% ± 6.8% in cases vs 28.2% ± 7.4% in controls; P = .043. On comparison of the entire population according to septal ECV tertiles, no significant differences were found in the number of patients receiving appropriate shocks. Conversely, we found a trend (P = .056) for a higher number of patients receiving appropriate shocks in the lateral ECV lowest tertile. CONCLUSIONS Extracellular volume was not increased in implantable cardioverter-defibrillator HCM patients with malignant ventricular arrhythmias vs those without arrhythmias. Our findings do not support the use of ECV (a surrogate of diffuse fibrosis) as a predictor of arrhythmias in high-risk HCM patients.
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Affiliation(s)
- Jesús G Mirelis
- Área de Fisiopatología del Miocardio, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Instituto de Salud Carlos III, Madrid, Spain; CIBER de enfermedades CardioVasculares (CIBERCV), Spain; Departamento de Cardiología, Hospital Universitario Puerta de Hierro, Majahonda, Madrid, Spain
| | - Javier Sánchez-González
- Área de Fisiopatología del Miocardio, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Instituto de Salud Carlos III, Madrid, Spain; Departamento de Ciencia Clínica, Philips Healthcare, Spain
| | - Esther Zorio
- Departamento de Cardiología, Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - Tomas Ripoll-Vera
- Departamento de Cardiología, Hospital de Son Llàtzer & IdISPa, Palma de Mallorca, Spain
| | | | - David Filgueiras-Rama
- Área de Fisiopatología del Miocardio, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Instituto de Salud Carlos III, Madrid, Spain; CIBER de enfermedades CardioVasculares (CIBERCV), Spain; Departamento de Cardiología, Hospital Universitario Clínico San Carlos, Madrid, Spain
| | - Esther González-López
- Área de Fisiopatología del Miocardio, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Instituto de Salud Carlos III, Madrid, Spain; CIBER de enfermedades CardioVasculares (CIBERCV), Spain; Departamento de Cardiología, Hospital Universitario Puerta de Hierro, Majahonda, Madrid, Spain
| | - María Gallego-Delgado
- Área de Fisiopatología del Miocardio, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Instituto de Salud Carlos III, Madrid, Spain; CIBER de enfermedades CardioVasculares (CIBERCV), Spain
| | - Rodrigo Fernández-Jiménez
- Área de Fisiopatología del Miocardio, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Instituto de Salud Carlos III, Madrid, Spain; CIBER de enfermedades CardioVasculares (CIBERCV), Spain; Department of Cardiology, The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, United States
| | - María Jesús Soleto
- Departamento de Cardiología, Hospital de Son Llàtzer & IdISPa, Palma de Mallorca, Spain
| | - Juana Núñez
- Departamento de Cardiología, Hospital de Son Llàtzer & IdISPa, Palma de Mallorca, Spain
| | - Gonzalo Pizarro
- Área de Fisiopatología del Miocardio, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Instituto de Salud Carlos III, Madrid, Spain; CIBER de enfermedades CardioVasculares (CIBERCV), Spain; Departamento de Cardiología, Complejo Hospitalario Ruber Juan Bravo, Universidad Europea de Madrid, Madrid, Spain
| | - Javier Sanz
- Department of Cardiology, The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Valentín Fuster
- Área de Fisiopatología del Miocardio, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Instituto de Salud Carlos III, Madrid, Spain; Department of Cardiology, The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Pablo García-Pavía
- Área de Fisiopatología del Miocardio, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Instituto de Salud Carlos III, Madrid, Spain; CIBER de enfermedades CardioVasculares (CIBERCV), Spain; Departamento de Cardiología, Hospital Universitario Puerta de Hierro, Majahonda, Madrid, Spain
| | - Borja Ibáñez
- Área de Fisiopatología del Miocardio, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Instituto de Salud Carlos III, Madrid, Spain; CIBER de enfermedades CardioVasculares (CIBERCV), Spain; Departamento de Cardiología, IIS-Hospital Fundación Jiménez Díaz, Madrid, Spain.
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113
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Treibel TA, Fontana M, Steeden JA, Nasis A, Yeung J, White SK, Sivarajan S, Punwani S, Pugliese F, Taylor SA, Moon JC, Bandula S. Automatic quantification of the myocardial extracellular volume by cardiac computed tomography: Synthetic ECV by CCT. J Cardiovasc Comput Tomogr 2017; 11:221-226. [PMID: 28268091 DOI: 10.1016/j.jcct.2017.02.006] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2016] [Revised: 02/11/2017] [Accepted: 02/19/2017] [Indexed: 12/12/2022]
Abstract
BACKGROUND The quantification of extracellular volume fraction (ECV) by Cardiac Computed Tomography (CCT) can identify changes in the myocardial interstitium due to fibrosis or infiltration. Current methodologies require laboratory blood hematocrit (Hct) measurement - which complicates the technique. The attenuation of blood (HUblood) is known to change with anemia. We hypothesized that the relationship between Hct and HUblood could be calibrated to rapidly generate a synthetic ECV without formally measuring Hct. METHODS The association between Hct and HUblood was derived from forty non-contrast thoracic CT scans using regression analysis. Synthetic Hct was then used to calculate synthetic ECV, and in turn compared with ECV using blood Hct in a validation cohort with mild interstitial expansion due to fibrosis (aortic stenosis, n = 28, ECVCT = 28 ± 4%) and severe interstitial expansion due to amyloidosis (n = 27; ECVCT = 54 ± 11%, p < 0.001). For histological validation, synthetic ECV was correlated with collagen volume fraction (CVF) in a separate cohort with aortic stenosis (n = 18). All CT scans were performed at 120 kV and 160 mAs. RESULTS HUblood was a good predictor of Hct (R2 = 0.47; p < 0.01), with the regression model (Hct = [0.51 * HUblood] + 17.4) describing the association. Synthetic ECV correlated well with conventional ECV (R2 = 0.96; p < 0.01) with minimal bias and 2SD difference of 5.7%. Synthetic ECV correlated as well as conventional ECV with histological CVF (both R2 = 0.50, p < 0.01). Finally, we implemented an automatic ECV plug-in for offline analysis. CONCLUSION Synthetic ECV by CCT provides instantaneous quantification of the myocardial extracellular space without the need for blood sampling.
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Affiliation(s)
- Thomas A Treibel
- Barts Heart Centre, St Bartholomew's Hospital, London, UK; Institute of Cardiovascular Science, University College London, London, UK.
| | - Marianna Fontana
- Barts Heart Centre, St Bartholomew's Hospital, London, UK; Institute of Cardiovascular Science, University College London, London, UK
| | - Jennifer A Steeden
- Institute of Cardiovascular Science, University College London, London, UK; UCL Centre for Medical Image Computing, Department of Medical Physics, London, UK
| | - Arthur Nasis
- Barts Heart Centre, St Bartholomew's Hospital, London, UK
| | - Jason Yeung
- Centre for Medical Imaging, University College London, London, UK
| | - Steven K White
- Barts Heart Centre, St Bartholomew's Hospital, London, UK; Institute of Cardiovascular Science, University College London, London, UK
| | - Sri Sivarajan
- Centre for Medical Imaging, University College London, London, UK
| | - Shonit Punwani
- Centre for Medical Imaging, University College London, London, UK
| | | | - Stuart A Taylor
- Centre for Medical Imaging, University College London, London, UK
| | - James C Moon
- Barts Heart Centre, St Bartholomew's Hospital, London, UK; Institute of Cardiovascular Science, University College London, London, UK
| | - Steve Bandula
- Centre for Medical Imaging, University College London, London, UK
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Measurement of Myocardial Extracellular Volume Fraction From Iodine Density Images Using Single-Source, Dual-Energy Computed Tomography. J Comput Assist Tomogr 2017; 41:750-756. [DOI: 10.1097/rct.0000000000000587] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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115
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Weingärtner S, Meßner NM, Budjan J, Loßnitzer D, Mattler U, Papavassiliu T, Zöllner FG, Schad LR. Myocardial T 1-mapping at 3T using saturation-recovery: reference values, precision and comparison with MOLLI. J Cardiovasc Magn Reson 2016; 18:84. [PMID: 27855705 PMCID: PMC5114738 DOI: 10.1186/s12968-016-0302-x] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2016] [Accepted: 11/01/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Myocardial T1-mapping recently emerged as a promising quantitative method for non-invasive tissue characterization in numerous cardiomyopathies. Commonly performed with an inversion-recovery (IR) magnetization preparation at 1.5T, the application at 3T has gained due to increased quantification precision. Alternatively, saturation-recovery (SR) T1-mapping has recently been introduced at 1.5T for improved accuracy. Thus, the purpose of this study is to investigate the robustness and precision of SR T1-mapping at 3T and to establish accurate reference values for native T1-times and extracellular volume fraction (ECV) of healthy myocardium. METHODS Balanced Steady-State Free-Precession (bSSFP) Saturation-Pulse Prepared Heart-rate independent Inversion-REcovery (SAPPHIRE) and Saturation-recovery Single-SHot Acquisition (SASHA) T1-mapping were compared with the Modified Look-Locker inversion recovery (MOLLI) sequence at 3T. Accuracy and precision were studied in phantom. Native and post-contrast T1-times and regional ECV were determined in 20 healthy subjects (10 men, 27 ± 5 years). Subjective image quality, susceptibility artifact rating, in-vivo precision and reproducibility were analyzed. RESULTS SR T1-mapping showed <4 % deviation from the spin-echo reference in phantom in the range of T1 = 100-2300 ms. The average quality and artifact scores of the T1-mapping methods were: MOLLI:3.4/3.6, SAPPHIRE:3.1/3.4, SASHA:2.9/3.2; (1: poor - 4: excellent/1: strong - 4: none). SAPPHIRE and SASHA yielded significantly higher T1-times (SAPPHIRE: 1578 ± 42 ms, SASHA: 1523 ± 46 ms), in-vivo T1-time variation (SAPPHIRE: 60.1 ± 8.7 ms, SASHA: 70.0 ± 9.3 ms) and lower ECV-values (SAPPHIRE: 0.20 ± 0.02, SASHA: 0.21 ± 0.03) compared with MOLLI (T1: 1181 ± 47 ms, ECV: 0.26 ± 0.03, Precision: 53.7 ± 8.1 ms). No significant difference was found in the inter-subject variability of T1-times or ECV-values (T1: p = 0.90, ECV: p = 0.78), the observer agreement (inter: p > 0.19; intra: p > 0.09) or consistency (inter: p > 0.07; intra: p > 0.17) between the three methods. CONCLUSIONS Saturation-recovery T1-mapping at 3T yields higher accuracy, comparable inter-subject, inter- and intra-observer variability and less than 30 % precision-loss compared to MOLLI.
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Affiliation(s)
- Sebastian Weingärtner
- Computer Assisted Clinical Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
- Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN USA
- Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN USA
| | - Nadja M. Meßner
- Computer Assisted Clinical Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
- DZHK (German Centre for Cardiovascular Research) partner site Heidelberg/Mannheim, Mannheim, Germany
| | - Johannes Budjan
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Dirk Loßnitzer
- 1st Department of Medicine Cardiology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Uwe Mattler
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Theano Papavassiliu
- DZHK (German Centre for Cardiovascular Research) partner site Heidelberg/Mannheim, Mannheim, Germany
- 1st Department of Medicine Cardiology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Frank G. Zöllner
- Computer Assisted Clinical Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Lothar R. Schad
- Computer Assisted Clinical Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
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116
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Rosmini S, Treibel TA, Bandula S, Stroud T, Fontana M, Hawkins PN, Moon JC. Cardiac computed tomography for the detection of cardiac amyloidosis. J Cardiovasc Comput Tomogr 2016; 11:155-156. [PMID: 27671765 DOI: 10.1016/j.jcct.2016.09.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Accepted: 09/14/2016] [Indexed: 11/19/2022]
Affiliation(s)
- Stefania Rosmini
- National Amyloidosis Centre, University College London, Royal Free Hospital, London, UK; Barts Heart Centre, West Smithfield, London, UK
| | | | - Steve Bandula
- Centre for Medical Imaging, University College London, London, UK
| | - Tyler Stroud
- Toshiba Medical Visualization Systems Europe Ltd, Edinburgh, UK
| | - Marianna Fontana
- National Amyloidosis Centre, University College London, Royal Free Hospital, London, UK
| | - Philip N Hawkins
- National Amyloidosis Centre, University College London, Royal Free Hospital, London, UK
| | - James C Moon
- Barts Heart Centre, West Smithfield, London, UK.
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117
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Kim SS, Ko SM, Choi SI, Choi BH, Stillman AE. Sudden cardiac death from structural heart diseases in adults: imaging findings with cardiovascular computed tomography and magnetic resonance. Int J Cardiovasc Imaging 2016; 32 Suppl 1:21-43. [PMID: 27139460 DOI: 10.1007/s10554-016-0891-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Accepted: 04/05/2016] [Indexed: 02/07/2023]
Abstract
Sudden cardiac death (SCD) is defined as the unexpected natural death from a cardiac cause within an hour of the onset of symptoms in the absence of any other cause. Although such a rapid course of death is mainly attributed to a cardiac arrhythmia, identification of structural heart disease by cardiovascular computed tomography (CCT) and cardiovascular magnetic resonance (CMR) imaging is important to predict the long-term risk of SCD. In adults, SCD most commonly results from coronary artery diseases, coronary artery anomalies, inherited cardiomyopathies, valvular heart diseases, myocarditis, and aortic dissection with coronary artery involvement or acute aortic regurgitation. This review describes the CCT and CMR findings of structural heart diseases related to SCD, which are essential for radiologists to diagnose or predict.
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Affiliation(s)
- Song Soo Kim
- Department of Radiology, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, South Korea
| | - Sung Min Ko
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, South Korea.
| | - Sang Il Choi
- Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, South Korea
| | - Bo Hwa Choi
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, South Korea
| | - Arthur E Stillman
- Department of Radiology, Division of Cardiothoracic Imaging, Emory University Hospital, Atlanta, GA, USA
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118
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Kurita Y, Kitagawa K, Kurobe Y, Nakamori S, Nakajima H, Dohi K, Ito M, Sakuma H. Estimation of myocardial extracellular volume fraction with cardiac CT in subjects without clinical coronary artery disease: A feasibility study. J Cardiovasc Comput Tomogr 2016; 10:237-41. [DOI: 10.1016/j.jcct.2016.02.001] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Revised: 02/02/2016] [Accepted: 02/21/2016] [Indexed: 01/13/2023]
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119
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Takahashi N, Glockner J, Howe BM, Hartman RP, Kawashima A. Taxonomy and Imaging Manifestations of Systemic Amyloidosis. Radiol Clin North Am 2016; 54:597-612. [DOI: 10.1016/j.rcl.2015.12.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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120
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Beyond the plasma cell: emerging therapies for immunoglobulin light chain amyloidosis. Blood 2016; 127:2275-80. [PMID: 26907632 DOI: 10.1182/blood-2015-11-681650] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2015] [Accepted: 02/21/2016] [Indexed: 11/20/2022] Open
Abstract
Systemic immunoglobulin light chain (LC) amyloidosis (AL) is a potentially fatal disease caused by immunoglobulin LC produced by clonal plasma cells. These LC form both toxic oligomers and amyloid deposits disrupting vital organ function. Despite reduction of LC by chemotherapy, the restoration of organ function is highly variable and often incomplete. Organ damage remains the major source of mortality and morbidity in AL. This review focuses on the challenges posed by emerging therapies that may limit the toxicity of LC and improve organ function by accelerating the resorption of amyloid deposits.
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121
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Abstract
Cardiac amyloidosis is a condition characterised by rapidly progressive heart failure and poor prognosis. The two main subtypes, immunoglobulin light chains (AL) and transthyretin (ATTR), have been investigated extensively in recent years. Cardiac imaging has advanced with the widespread use of cardiac MRI with late gadolinium enhancement imaging and newer techniques including T1 mapping to quantify amyloid burden. Nuclear imaging has developed as a highly accurate method to confirm cardiac amyloid deposits non-invasively with very high sensitivity in ATTR amyloidosis. Despite advances in imaging, cardiac biopsy remains the gold standard diagnostic test to confirm and type amyloidosis. Hereditary ATTR amyloidosis of V122I type has been the focus of important studies in the past year, due to the high prevalence of the amyloidogenic allele in patients of African descent. Recent research concluded a significant number of Afro-Caribbean heart failure patients are likely to have undiagnosed cardiac amyloidosis. Misdiagnosis may lead to inappropriate treatment with potentially harmful 'standard' heart failure medications with no evidence base in amyloidosis. Treatment options have, until recently, been limited but cardiac amyloidosis is the focus of novel therapeutic regimes. New insights into the pathophysiological mechanisms resulting in disease have suggested exciting targets for drug therapy.
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Affiliation(s)
- Jason N Dungu
- Essex Cardiothoracic Centre, Basildon University Hospital, Basildon, United Kingdom
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