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Tiwari N, Nagraj S, Tzoumas A, Arfaras-Melainis A, Katamreddy A, Sohal S, Palaiodimos L. Diagnostic accuracy of coronary computed tomography angiography in ischemic workup of heart failure: a meta-analysis. Future Cardiol 2022; 18:325-335. [PMID: 35118872 DOI: 10.2217/fca-2021-0108] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Aim: The role of coronary computed tomography angiography (CCTA) in evaluating the etiology of heart failure with reduced ejection fraction (HFrEF) is unclear. This is a meta-analysis assessing the pooled diagnostic accuracy of CCTA in diagnosing significant coronary artery disease in HFrEF. Materials & methods: Electronic databases were searched for studies comparing CCTA with invasive coronary angiography in HFrEF. A random-effects model meta-analysis was conducted. Results: Five studies comprising 269 patients were included. On patient-based analysis, pooled sensitivity and specificity of CCTA were 0.99 (95% CI: 0.94-1.00) and 0.94 (95% CI: 0.90-0.97), respectively. On segment-based analysis, pooled sensitivity and specificity were 0.74 (95% CI: 0.67-0.80) and 0.99 (95% CI: 0.98-0.99), respectively. Conclusion: CCTA has excellent diagnostic accuracy in diagnosing significant coronary artery disease in newly diagnosed HFrEF.
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Affiliation(s)
- Nidhish Tiwari
- Department of Internal Medicine, Jacobi Medical Center/Albert Einstein College of Medicine, The Bronx, NY 10461, USA
| | - Sanjana Nagraj
- Department of Internal Medicine, Jacobi Medical Center/Albert Einstein College of Medicine, The Bronx, NY 10461, USA
| | - Andreas Tzoumas
- Department of Medicine, Aristotle University of Thessaloniki, Thessaloniki, 541 24, Greece
| | - Angelos Arfaras-Melainis
- Department of Internal Medicine, Jacobi Medical Center/Albert Einstein College of Medicine, The Bronx, NY 10461, USA
| | - Adarsh Katamreddy
- Department of Internal Medicine, Jacobi Medical Center/Albert Einstein College of Medicine, The Bronx, NY 10461, USA
| | - Sumit Sohal
- Department of Cardiology, RWJBH-Newark Beth Israel Medical Center, Newark, NJ 07112, USA
| | - Leonidas Palaiodimos
- Department of Internal Medicine, Jacobi Medical Center/Albert Einstein College of Medicine, The Bronx, NY 10461, USA
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3
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Donal E, Delgado V, Bucciarelli-Ducci C, Galli E, Haugaa KH, Charron P, Voigt JU, Cardim N, Masci PG, Galderisi M, Gaemperli O, Gimelli A, Pinto YM, Lancellotti P, Habib G, Elliott P, Edvardsen T, Cosyns B, Popescu BA. Multimodality imaging in the diagnosis, risk stratification, and management of patients with dilated cardiomyopathies: an expert consensus document from the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging 2020; 20:1075-1093. [PMID: 31504368 DOI: 10.1093/ehjci/jez178] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 06/19/2019] [Indexed: 12/12/2022] Open
Abstract
Dilated cardiomyopathy (DCM) is defined by the presence of left ventricular or biventricular dilatation and systolic dysfunction in the absence of abnormal loading conditions or coronary artery disease sufficient to explain these changes. This is a heterogeneous disease frequently having a genetic background. Imaging is important for the diagnosis, the prognostic assessment and for guiding therapy. A multimodality imaging approach provides a comprehensive evaluation of all the issues related to this disease. The present document aims to provide recommendations for the use of multimodality imaging according to the clinical question. Selection of one or another imaging technique should be based on the clinical condition and context. Techniques are presented with the aim to underscore what is 'clinically relevant' and what are the tools that 'can be used'. There remain some gaps in evidence on the impact of multimodality imaging on the management and the treatment of DCM patients where ongoing research is important.
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Affiliation(s)
- Erwan Donal
- Service de Cardiologie et CIC-IT INSERM 1414, CHU Pontchaillou, 2 rue Henri Le Guilloux, Rennes, France.,LTSI, Université de Rennes 1, INSERM, UMR, Rennes, France
| | - Victoria Delgado
- Department of Cardiology, Leiden University Medical Centre, Albinusdreef 2, Leiden RC, The Netherlands
| | - Chiara Bucciarelli-Ducci
- Bristol Heart Institute, University of Bristol, University Hospitals Bristol NHS Foundation Trust, Malborough St, Bristol, UK
| | - Elena Galli
- Service de Cardiologie et CIC-IT INSERM 1414, CHU Pontchaillou, 2 rue Henri Le Guilloux, Rennes, France.,LTSI, Université de Rennes 1, INSERM, UMR, Rennes, France
| | - Kristina H Haugaa
- Department of Cardiology, Center for Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, Oslo, Norway
| | - Philippe Charron
- Centre de Référence pour les Maladies Cardiaques Héréditaires, APHP, ICAN, Hôpital de la Pitié Salpêtrière, Paris, France.,Université Versailles Saint Quentin & AP-HP, CESP, INSERM U1018, Service de Génétique, Hôpital Ambroise Paré, Boulogne-Billancourt, France
| | - Jens-Uwe Voigt
- Department of Cardiovascular Sciences, University of Leuven, Herestraat 49, Leuven, Belgium
| | - Nuno Cardim
- Cardiology Department, Hospital da Luz, Av. Lusíada, n° 100, Lisbon, Portugal
| | - P G Masci
- HeartClinic, Hirslanden Hospital Zurich, Witellikerstrasse 32, CH Zurich, Switzerland
| | - Maurizio Galderisi
- Department of Advanced Biomedical Sciences, Federico II University, Naples, Italy
| | - Oliver Gaemperli
- HeartClinic, Hirslanden Hospital Zurich, Witellikerstrasse 32, CH Zurich, Switzerland
| | - Alessia Gimelli
- Fondazione Toscana Gabriele Monasterio, Via Moruzzi, 1, Pisa, Italy
| | - Yigal M Pinto
- Department of Cardiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Patrizio Lancellotti
- Department of Cardiology, University of Liège Hospital, Domaine Universitaire du Sart Tilman, B Liège, Belgium
| | - Gilbert Habib
- Cardiology Department, APHM, La Timone Hospital, Boulevard Jean Moulin, Marseille, France.,Aix Marseille University, IRD, APHM, MEPHI, IHU-Méditerranée Infection, Boulevard Jean Moulin, Marseille, France
| | - Perry Elliott
- Institute of Cardiovascular Science, University College London, London, UK.,Barts Heart Centre, St Bartholomew's Hospital, London, UK
| | - Thor Edvardsen
- Department of Cardiology, Center for Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, Oslo, Norway
| | - Bernard Cosyns
- Centrum voor Hart en Vaatziekten (CHVZ), Unversitair Ziekenhuis Brussel, Laarbeeklaan 101, Brussel, Belgium
| | - Bogdan A Popescu
- Department of Cardiology, University of Medicine and Pharmacy "Carol Davila"- Euroecolab, Emergency Institute of Cardiovascular Diseases "Prof. Dr. C. C. Iliescu", Sos. Fundeni 258, Sector 2, Bucharest, Romania
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7
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Schuetz GM, Schlattmann P, Dewey M. Use of 3x2 tables with an intention to diagnose approach to assess clinical performance of diagnostic tests: meta-analytical evaluation of coronary CT angiography studies. BMJ 2012; 345:e6717. [PMID: 23097549 PMCID: PMC3480336 DOI: 10.1136/bmj.e6717] [Citation(s) in RCA: 108] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/24/2012] [Indexed: 01/22/2023]
Abstract
OBJECTIVE To determine whether a 3 × 2 table, using an intention to diagnose approach, is better than the "classic" 2 × 2 table at handling transparent reporting and non-evaluable results, when assessing the accuracy of a diagnostic test. DESIGN Based on a systematic search for diagnostic accuracy studies of coronary computed tomography (CT) angiography, full texts of relevant studies were evaluated to determine whether they could calculate an alternative 3 × 2 table. To quantify an overall effect, we pooled diagnostic accuracy values according to a meta-analytical approach. DATA SOURCES Medline (via PubMed), Embase (via Ovid), and ISI Web of Science electronic databases. ELIGIBILITY CRITERIA Prospective English or German language studies comparing coronary CT with conventional coronary angiography in all patients and providing sufficient data for a patient level analysis. RESULTS 120 studies (10,287 patients) were eligible. Studies varied greatly in their approaches to handling non-evaluable findings. We found 26 studies (including 2298 patients) that allowed us to calculate both 2 × 2 tables and 3 × 2 tables. Using a bivariate random effects model, we compared the 2 × 2 table with the 3 × 2 table, and found significant differences for pooled sensitivity (98.2 (95% confidence interval 96.7 to 99.1) v 92.7 (88.5 to 95.3)), area under the curve (0.99 (0.98 to 1.00) v 0.93 (0.91 to 0.95)), positive likelihood ratio (9.1 (6.2 to 13.3) v 4.4 (3.3 to 6.0)), and negative likelihood ratio (0.02 (0.01 to 0.04) v 0.09 (0.06 to 0.15); (P<0.05)). CONCLUSION Parameters for diagnostic performance significantly decrease if non-evaluable results are included by a 3 × 2 table for analysis (intention to diagnose approach). This approach provides a more realistic picture of the clinical potential of diagnostic tests.
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Affiliation(s)
- Georg M Schuetz
- Department of Radiology, The Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
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Asferg C, Usinger L, Kristensen TS, Abdulla J. Accuracy of multi-slice computed tomography for measurement of left ventricular ejection fraction compared with cardiac magnetic resonance imaging and two-dimensional transthoracic echocardiography: a systematic review and meta-analysis. Eur J Radiol 2012; 81:e757-62. [PMID: 22381439 DOI: 10.1016/j.ejrad.2012.02.002] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2011] [Revised: 01/30/2012] [Accepted: 02/02/2012] [Indexed: 01/28/2023]
Abstract
BACKGROUND Multi-slice computed tomography (MSCT) allows non-invasive assessment of the coronary arteries and simultaneously can provide measurement of left ventricular ejection fraction (LVEF). The accuracy of newer MSCT generations (64-slice or more) for assessment of LVEF compared with magnetic resonance imaging (MRI) and two-dimensional transthoracic echocardiography (TTE) has not been evaluated in a meta-analysis. PURPOSE To evaluate, via a systematic literature review and meta-analysis, whether MSCT can assess LVEF with high accuracy compared with MRI and TTE. METHODS Electronic databases and reference lists for relevant published studies were searched. Twenty-seven eligible studies provided mean LVEF% with its standard deviation (SD) measured by MSCT versus MRI and TTE. Meta-analysis of weighted mean difference (WMD) and Bland-Altman method were used to quantify the mean difference and agreement between MSCT compared with MRI and TTE. RESULTS The results of combining 12 studies showed no significant difference in LVEF% between MSCT and MRI with a WMD of -0.11 (-1.48, 1.26, 95% CI), p=0.88. Bland-Altman analysis showed excellent agreement between MSCT and MRI with a bias of 0.0 (-3.7, 3.7 ± 1.96SD) with 95% CI. The results of combining 15 studies showed no significant difference in LVEF between MSCT versus TTE measurements with a WMD of 0.19 (-1.13 to 1.50; 95% CI), p=0.87. Bland-Altman analysis showed excellent agreement between MSCT and TTE with a bias of 0.3 (-4.7, 5.7 ± 1.96SD) with 95% CI. CONCLUSION The newer MSCT generations can provide accurate LVEF measurement compared to MRI and TTE. MSCT represents a valid technique for the combined evaluation of LVEF and coronary artery disease.
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Affiliation(s)
- Camilla Asferg
- Department of Medicine M2, Division of Cardiology, Copenhagen University Hospital, Nordre Ringvej 57, 2600 Glostrup, Denmark.
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9
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Bhatti S, Hakeem A, Yousuf MA, Al-Khalidi HR, Mazur W, Shizukuda Y. Diagnostic performance of computed tomography angiography for differentiating ischemic vs nonischemic cardiomyopathy. J Nucl Cardiol 2011; 18:407-20. [PMID: 21328027 DOI: 10.1007/s12350-011-9346-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2010] [Accepted: 01/23/2011] [Indexed: 10/18/2022]
Abstract
BACKGROUND Although the use of computed tomography angiography (CTA) is considered "appropriate" to distinguish ischemic vs nonischemic etiology in patients with cardiomyopathy under the current clinical practice guideline, the evidence to support this has not been evaluated in larger scale studies. Thus, we conducted a meta-analysis of available studies published by October 2010 to address this question. METHODS Studies evaluating the diagnostic accuracy of CTA versus invasive coronary angiography (as the gold standard) for significant coronary artery disease (CAD) detection (ischemic cardiomyopathy) in patients with no known history of CAD with significantly depressed left ventricular function (ejection fraction; EF < 35%) were selected for the meta-analysis. Sensitivity, specificity, positive, and negative likelihood ratios were calculated on per patient and per segment basis using random effects model (DerSimonian-Laird Method) for computing summary estimates and receiver operator curve (ROC) analysis for evaluating overall diagnostic accuracy. RESULTS Six studies comprising 452 patients met the selection criteria for the meta-analysis. The pooled patient population was 62 ± 3 years old, with 29% females, 16% diabetics, and 43% with a history of hypertension. Mean EF was 32% ± 1%. The pooled summary estimate of sensitivity of CTA for diagnosis of ischemic cardiomyopathy was 98% [95% confidence interval (CI); 94% to 99%] and specificity was 97% (CI 94% to 98%), yielding a negative likelihood ratio of 0.06 (CI 0.02 to 0.13) and positive likelihood ratio of 20.85 (CI 12 to 36). There was no significant heterogeneity between studies for these estimates. The receiver operator curve analysis showed a robust discriminate diagnostic accuracy of ischemic etiology with an area under curve of 0.99 (P < .00001). CONCLUSION CTA appears as a clinically applicable accurate diagnostic modality to exclude ischemic etiology in patients with cardiomyopathy of undetermined cause and this further supports the appropriateness of the use of CTA to determine the cause of new onset cardiomyopathy of unknown etiology.
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Affiliation(s)
- Sabha Bhatti
- Division of Cardiovascular Diseases, Department of Internal Medicine, University of Cincinnati, 231 Albert Sabin Way, Cincinnati, OH 45267, USA.
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