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Ibrahim R, Abdelnabi M, Pathangey G, Farina J, Lester SJ, Ayoub C, Alsidawi S, Tamarappoo BK, Jokerst C, Arsanjani R. Utility of Cardiac CT for Cardiomyopathy Phenotyping. Tomography 2025; 11:39. [PMID: 40137579 PMCID: PMC11946596 DOI: 10.3390/tomography11030039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2024] [Revised: 03/10/2025] [Accepted: 03/12/2025] [Indexed: 03/29/2025] Open
Abstract
Cardiac computed tomography (CT) has rapidly advanced, becoming an invaluable tool for diagnosing and prognosticating various cardiovascular diseases. While echocardiography and cardiac magnetic resonance imaging (CMR) remain the gold standards for myocardial assessment, modern CT technologies offer enhanced spatial resolution, making it an essential tool in clinical practice. Cardiac CT has expanded beyond coronary artery disease evaluation, now playing a key role in assessing cardiomyopathies and structural heart diseases. Innovations like photon-counting CT enable precise estimation of myocardial extracellular volume, facilitating the detection of infiltrative disorders and myocardial fibrosis. Additionally, CT-based myocardial strain analysis allows for the classification of impaired myocardial contractility, while quantifying cardiac volumes and function remains crucial in cardiomyopathy evaluation. This review explores the emerging role of cardiac CT in cardiomyopathy phenotyping, emphasizing recent technological advancements.
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Affiliation(s)
- Ramzi Ibrahim
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA; (R.I.); (M.A.); (G.P.); (J.F.); (S.J.L.); (C.A.); (S.A.); (B.K.T.)
| | - Mahmoud Abdelnabi
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA; (R.I.); (M.A.); (G.P.); (J.F.); (S.J.L.); (C.A.); (S.A.); (B.K.T.)
| | - Girish Pathangey
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA; (R.I.); (M.A.); (G.P.); (J.F.); (S.J.L.); (C.A.); (S.A.); (B.K.T.)
| | - Juan Farina
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA; (R.I.); (M.A.); (G.P.); (J.F.); (S.J.L.); (C.A.); (S.A.); (B.K.T.)
| | - Steven J. Lester
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA; (R.I.); (M.A.); (G.P.); (J.F.); (S.J.L.); (C.A.); (S.A.); (B.K.T.)
| | - Chadi Ayoub
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA; (R.I.); (M.A.); (G.P.); (J.F.); (S.J.L.); (C.A.); (S.A.); (B.K.T.)
| | - Said Alsidawi
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA; (R.I.); (M.A.); (G.P.); (J.F.); (S.J.L.); (C.A.); (S.A.); (B.K.T.)
| | - Balaji K. Tamarappoo
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA; (R.I.); (M.A.); (G.P.); (J.F.); (S.J.L.); (C.A.); (S.A.); (B.K.T.)
| | - Clinton Jokerst
- Department of Radiology, Mayo Clinic, Scottsdale, AZ 85054, USA;
| | - Reza Arsanjani
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA; (R.I.); (M.A.); (G.P.); (J.F.); (S.J.L.); (C.A.); (S.A.); (B.K.T.)
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2
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Li W, Yu F, Liu M, Yan C. Clinical value of resting cardiac dual-energy CT in patients suspected of coronary artery disease. BMC Med Imaging 2022; 22:32. [PMID: 35220940 PMCID: PMC8883697 DOI: 10.1186/s12880-022-00761-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 02/22/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Rest/stress myocardial CT perfusion (CTP) has high diagnostic value for coronary artery disease (CAD), but the additional value of resting CTP especially dual-energy CTP (DE-CTP) beyond coronary CT angiography (CCTA) in chest pain triage remains unclear. We aimed to evaluate the diagnostic accuracy of resting myocardial DE-CTP, and additional value in detecting CAD beyond CCTA (obstructive stenosis: ≥ 50%) in patients suspected of CAD. METHODS In this prespecified subanalysis of 54 patients, we included patients suspected of CAD referred to invasive coronary angiography (ICA). Diagnostic accuracy of resting myocardial DE-CTP in detecting myocardial perfusion defects was assessed using resting 13N-ammonia positron emission tomography (PET) as the gold standard. Diagnostic accuracy of cardiac dual-energy CT in detecting flow-limiting stenoses (justifying revascularization) by CCTA combined with resting myocardial DE-CTP, using ICA plus resting 13N-ammonia PET as the gold standard. The CCTA and DE-CTP datasets derived from a single-phase scan performed with dual-energy mode. RESULTS For detecting myocardial perfusion defects, DE-CTP demonstrated high diagnostic accuracy with a sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) of 95.52%, 85.93%, and 0.907 on a per-segment basis. For detecting flow-limiting stenoses by CCTA alone, sensitivity, specificity, and AUC were 100%, 56.47%, and 0.777 respectively on a per-vessel basis. For detecting flow-limiting stenoses by CCTA combined with resting myocardial DE-CTP, sensitivity, specificity, and AUC were 96.10%, 95.29% and 0.956 respectively on a per-vessel basis. Additionally, CCTA combined with resting myocardial DE-CTP detected five patients (9%) with no obstructive stenosis but with myocardial perfusion defects confirmed by ICA plus 13N-ammonia PET. CONCLUSIONS Resting cardiac DE-CTP demonstrates a high diagnostic accuracy in detecting myocardial perfusion defects and provides an additional clinical value by reducing rates of false-positive and false-negative patients beyond CCTA in patients suspected of CAD.
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Affiliation(s)
- Wenhuan Li
- grid.24696.3f0000 0004 0369 153XDepartment of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020 China
| | - Fangfang Yu
- grid.24696.3f0000 0004 0369 153XDepartment of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020 China
| | - Mingxi Liu
- grid.24696.3f0000 0004 0369 153XDepartment of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020 China
| | - Chengxi Yan
- grid.413259.80000 0004 0632 3337Department of Radiology, Xuanwu Hospital of Capital Medical University, No. 45, Chang-Chun Street, Xicheng District, Beijing, 100053 China
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3
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Narula J, Chandrashekhar Y, Ahmadi A, Abbara S, Berman DS, Blankstein R, Leipsic J, Newby D, Nicol ED, Nieman K, Shaw L, Villines TC, Williams M, Hecht HS. SCCT 2021 Expert Consensus Document on Coronary Computed Tomographic Angiography: A Report of the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr 2021; 15:192-217. [PMID: 33303384 PMCID: PMC8713482 DOI: 10.1016/j.jcct.2020.11.001] [Citation(s) in RCA: 190] [Impact Index Per Article: 47.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Jagat Narula
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Y Chandrashekhar
- University of Minnesota and VA Medical Center, Minneapolis, MN, USA
| | - Amir Ahmadi
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Suhny Abbara
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Ron Blankstein
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | | | - David Newby
- University of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Edinburgh, United Kingdom
| | - Edward D Nicol
- National Heart and Lung Institute, Imperial College, London, United Kingdom
| | | | - Leslee Shaw
- New York-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA
| | - Todd C Villines
- University of Virginia Health System, Charlottesville, VA, USA
| | - Michelle Williams
- University of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Edinburgh, United Kingdom
| | - Harvey S Hecht
- Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Villemain O, Baranger J, Jalal Z, Lam C, Calais J, Pernot M, Cifra B, Friedberg MK, Mertens L. Non-invasive imaging techniques to assess myocardial perfusion. Expert Rev Med Devices 2020; 17:1133-1144. [PMID: 33044100 DOI: 10.1080/17434440.2020.1834844] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Coronary artery disease affecting myocardial perfusion continues to be the leading cause of cardiovascular morbidity and mortality worldwide. While invasive evaluation based on coronary angiography and flow measurements still is considered the reference technique for assessing myocardial perfusion, technological evolutions in noninvasive imaging techniques resulted in them playing a more important role in assessing myocardial perfusion influencing therapeutic decision-making and prognostication. AREAS COVERED Different imaging modalities are used to evaluate coronary perfusion, including echocardiography, coronary computerized tomography scan, magnetic resonance imaging, and nuclear myocardial perfusion imaging. Through a combination of different techniques, it is possible to describe coronary artery anatomy and the diameter of the epicardial vessels but more recently also of the coronary microcirculation. Quantification of myocardial perfusion is feasible both at baseline and during pharmacological or physiological stress. EXPERT OPINION The objective of this state-of-the-art paper is to review the recent evolutions in imaging methods to estimate myocardial perfusion and to discuss the diagnostic strengths and limitations of the different techniques. The new ultrasound technologies and the hybrid approaches seem to be the future is these fields.
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Affiliation(s)
- Olivier Villemain
- Division of Cardiology, Department of Paediatrics, The Hospital for Sick Children, University of Toronto , Toronto, ON, Canada.,Translational Medicine Department, SickKids Research Institute , Toronto, ON, Canada.,Medical Biophysics Department, University of Toronto , Toronto, ON, Canada
| | - Jérôme Baranger
- Translational Medicine Department, SickKids Research Institute , Toronto, ON, Canada
| | - Zakaria Jalal
- Department of Pediatric and Adult Congenital Cardiology, Bordeaux University Hospital (CHU) , Pessac, France.,IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université , Pessac- Bordeaux, France
| | - Christopher Lam
- Department of Diagnostic Imaging, The Hospital for Sick Children , Toronto, ON, Canada.,Department of Medical Imaging, University of Toronto , Toronto, ON, Canada
| | - Jérémie Calais
- Ahmanson Translational Theranostics Division, Department of Molecular & Medical Pharmacology, University of California Los Angeles , Los Angeles, CA, USA.,Jonsson Comprehensive Cancer Center, University of California Los Angeles , Los Angeles, CA, USA.,Physics & Biology in Medicine Interdepartmental Graduate Program, David Geffen School of Medicine, University of California Los Angeles , Los Angeles, CA, USA.,Institute of Urologic Oncology, University of California Los Angeles , Los Angeles, CA, USA
| | - Mathieu Pernot
- Physics for Medicine Paris, INSERM U1273, ESPCI Paris, CNRS FRE 2031, PSL Research University , Paris, France
| | - Barbara Cifra
- Division of Cardiology, Department of Paediatrics, The Hospital for Sick Children, University of Toronto , Toronto, ON, Canada
| | - Mark K Friedberg
- Division of Cardiology, Department of Paediatrics, The Hospital for Sick Children, University of Toronto , Toronto, ON, Canada.,Translational Medicine Department, SickKids Research Institute , Toronto, ON, Canada
| | - Luc Mertens
- Division of Cardiology, Department of Paediatrics, The Hospital for Sick Children, University of Toronto , Toronto, ON, Canada.,Translational Medicine Department, SickKids Research Institute , Toronto, ON, Canada
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5
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Prasad Reddy KV, Singhal M, Vijayvergiya R, Sood A, Khandelwal N. Role of DECT in coronary artery disease: a comparative study with ICA and SPECT. ACTA ACUST UNITED AC 2020; 26:420-428. [PMID: 32755875 DOI: 10.5152/dir.2020.18569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
PURPOSE Earlier imaging techniques for coronary artery disease (CAD) focused primarily on either morphological or functional assessment of CAD. However, dual-energy computed tomography (DECT) can be used to assess myocardial blood supply both morphologically and functionally. We aimed to evaluate the diagnostic accuracy of DECT in detecting morphological and functional components of CAD, using invasive coronary angiography (ICA) and single photon emission computed tomography (SPECT) as reference standards. METHODS Twenty-five patients with known or suspicious CAD and scheduled for ICA were investigated by DECT and SPECT. DECT was performed during the resting state using retrospective electrocardiography (ECG) gating. CT coronary angiography and perfusion images were generated from the same raw data. All patients were evaluated for significant stenosis (≥50%) on both ICA and DECT coronary angiography, and for myocardial perfusion defects on SPECT and DECT perfusion. Comparison was done between ICA and DECT coronary angiography for detection of significant stenosis and between SPECT and DECT perfusion for detecting myocardial perfusion defects. RESULTS Using ICA as reference standard, sensitivity, specificity, and accuracy of DECT coronary angiography in detecting ≥50% stenosis of coronary artery lumen were 81.6%, 97.8%, and 95.0%, respectively, by segment-based analysis and 92.1%, 96.1%, and 93.7%, respectively, by vessel-based analysis. Using SPECT as the reference standard, the sensitivity, specificity, and accuracy of DECT perfusion in detecting myocardial perfusion defects were 70.4%, 86.4%, and 80.6%, respectively, on per-segment analysis and 90.7%, 66.6%, and 84.7%, respectively, on per-territorial basis. CONCLUSION DECT accurately detected coronary artery stenosis and myocardial ischemia using ICA and SPECT as reference standards. In the same scan, DECT can accurately provide integrative imaging of coronary artery morphology and myocardial perfusion.
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Affiliation(s)
- Kamireddy V Prasad Reddy
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Training and Research, Chandigarh, India
| | - Manphool Singhal
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Training and Research, Chandigarh, India
| | - Rajesh Vijayvergiya
- Department of Cardiology, Postgraduate Institute of Medical Training and Research, Chandigarh, India
| | - Ashwani Sood
- Department of Nuclear Medicine, Postgraduate Institute of Medical Training and Research, Chandigarh, India
| | - Niranjan Khandelwal
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Training and Research, Chandigarh, India
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Assen MV, Vonder M, Pelgrim GJ, Von Knebel Doeberitz PL, Vliegenthart R. Computed tomography for myocardial characterization in ischemic heart disease: a state-of-the-art review. Eur Radiol Exp 2020; 4:36. [PMID: 32548777 PMCID: PMC7297926 DOI: 10.1186/s41747-020-00158-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Accepted: 03/30/2020] [Indexed: 12/21/2022] Open
Abstract
This review provides an overview of the currently available computed tomography (CT) techniques for myocardial tissue characterization in ischemic heart disease, including CT perfusion and late iodine enhancement. CT myocardial perfusion imaging can be performed with static and dynamic protocols for the detection of ischemia and infarction using either single- or dual-energy CT modes. Late iodine enhancement may be used for the analysis of myocardial infarction. The accuracy of these CT techniques is highly dependent on the imaging protocol, including acquisition timing and contrast administration. Additionally, the options for qualitative and quantitative analysis and the accuracy of each technique are discussed.
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Affiliation(s)
- M van Assen
- University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 EZ, Groningen, The Netherlands.
| | - M Vonder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - G J Pelgrim
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - P L Von Knebel Doeberitz
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - R Vliegenthart
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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7
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Ko SM, Kim TH, Chun EJ, Kim JY, Hwang SH. Assessment of Left Ventricular Myocardial Diseases with Cardiac Computed Tomography. Korean J Radiol 2019; 20:333-351. [PMID: 30799565 PMCID: PMC6389818 DOI: 10.3348/kjr.2018.0280] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 10/03/2018] [Indexed: 01/09/2023] Open
Abstract
Rapid advances in cardiac computed tomography (CT) have enabled the characterization of left ventricular (LV) myocardial diseases based on LV anatomical morphology, function, density, and enhancement pattern. Global LV function and regional wall motion can be evaluated using multi-phasic cine CT images. CT myocardial perfusion imaging facilitates the identification of hemodynamically significant coronary artery disease. CT delayed-enhancement imaging is used to detect myocardial scar in myocardial infarction and to measure the extracellular volume fraction in non-ischemic cardiomyopathy. Multi-energy cardiac CT allows the mapping of iodine distribution in the myocardium. This review summarizes the current techniques of cardiac CT for LV myocardial assessment, highlights the key findings in various myocardial diseases, and presents future applications to complement echocardiography and cardiovascular magnetic resonance.
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Affiliation(s)
- Sung Min Ko
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea.
| | - Tae Hoon Kim
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Eun Ju Chun
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Jin Young Kim
- Department of Radiology, Dongsan Medical Center, Keimyung University College of Medicine, Daegu, Korea
| | - Sung Ho Hwang
- Department of Radiology, Korea University Anam Hospital, Seoul, Korea
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Dynamic Quantitative Iodine Myocardial Perfusion Imaging with Dual-Layer CT using a Porcine Model. Sci Rep 2019; 9:16046. [PMID: 31690759 PMCID: PMC6831609 DOI: 10.1038/s41598-019-52458-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 10/16/2019] [Indexed: 01/09/2023] Open
Abstract
Ischemic heart disease is the globally leading cause of death. When using coronary CT angiography, the functional hemodynamics within the myocardium remain uncertain. In this study myocardial CT perfusion imaging using iodine contrast agent demonstrated to strongly improve the assessment of myocardial disorders. However, a retrieval of such dynamics using Hounsfield units from conventional CT poses concerns with respect to beam-hardening effects and low contrast-to-noise ratio (CNR). Dual-energy CT offers novel approaches to overcome aforementioned limitations. Quantitative peak enhancement, perfusion, time to peak and iodine volume measurements inside the myocardium were determined resulting in 0.92 mg/ml, 0.085 mg/ml/s 17.12 s and 29.89 mg/ml*s, respectively. We report on the first extensive quantitative and iodine-based analysis of myocardial dynamics in a healthy porcine model using a dual-layer spectral CT. We further elucidate on the potential of reducing the radiation dose from 135 to 18 mGy and the contrast agent volume from 60 to 30 mL by presenting a two-shot acquisition approach and measuring iodine concentrations in the myocardium in-vivo down to 1 mg/ml, respectively. We believe that dynamic quantitative iodine perfusion imaging may be a highly sensitive tool for the precise functional assessment and monitoring of early myocardial ischemia.
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9
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van Assen M, De Cecco CN, Eid M, von Knebel Doeberitz P, Scarabello M, Lavra F, Bauer MJ, Mastrodicasa D, Duguay TM, Zaki B, Lo GG, Choe YH, Wang Y, Sahbaee P, Tesche C, Oudkerk M, Vliegenthart R, Schoepf UJ. Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease. J Cardiovasc Comput Tomogr 2019; 13:26-33. [PMID: 30796003 DOI: 10.1016/j.jcct.2019.02.005] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 02/11/2019] [Indexed: 01/25/2023]
Abstract
OBJECTIVES The purpose of this study was to analyze the prognostic value of dynamic CT perfusion imaging (CTP) and CT derived fractional flow reserve (CT-FFR) for major adverse cardiac events (MACE). METHODS 81 patients from 4 institutions underwent coronary computed tomography angiography (CCTA) with dynamic CTP imaging and CT-FFR analysis. Patients were followed-up at 6, 12, and 18 months after imaging. MACE were defined as cardiac death, nonfatal myocardial infarction, unstable angina requiring hospitalization, or revascularization. CT-FFR was computed for each major coronary artery using an artificial intelligence-based application. CTP studies were analyzed per vessel territory using an index myocardial blood flow, the ratio between territory and global MBF. The prognostic value of CCTA, CT-FFR, and CTP was investigated with a univariate and multivariate Cox proportional hazards regression model. RESULTS 243 vessels in 81 patients were interrogated by CCTA with CT-FFR and 243 vessel territories (1296 segments) were evaluated with dynamic CTP imaging. Of the 81 patients, 25 (31%) experienced MACE during follow-up. In univariate analysis, a positive index-MBF resulted in the largest risk for MACE (HR 11.4) compared to CCTA (HR 2.6) and CT-FFR (HR 4.6). In multivariate analysis, including clinical factors, CCTA, CT-FFR, and index-MBF, only index-MBF significantly contributed to the risk of MACE (HR 10.1), unlike CCTA (HR 1.2) and CT-FFR (HR 2.2). CONCLUSION Our study provides initial evidence that dynamic CTP alone has the highest prognostic value for MACE compared to CCTA and CT-FFR individually or a combination of the three, independent of clinical risk factors.
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Affiliation(s)
- M van Assen
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; University of Groningen, University Medical Center Groningen, Center for Medical Imaging - North East Netherlands, Groningen, the Netherlands.
| | - C N De Cecco
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Department of Radiology, Emory University, Atlanta, Georgia, USA.
| | - M Eid
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
| | - P von Knebel Doeberitz
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
| | - M Scarabello
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
| | - F Lavra
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
| | - M J Bauer
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
| | - D Mastrodicasa
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
| | - T M Duguay
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
| | - B Zaki
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
| | - G G Lo
- Department of Diagnostic and Interventional Radiology, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong, China.
| | - Y H Choe
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Y Wang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
| | | | - Christian Tesche
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany.
| | - M Oudkerk
- University of Groningen, University Medical Center Groningen, Center for Medical Imaging - North East Netherlands, Groningen, the Netherlands.
| | - R Vliegenthart
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; University of Groningen, University Medical Center Groningen, Center for Medical Imaging - North East Netherlands, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, Departments of Radiology, Groningen, the Netherlands.
| | - U J Schoepf
- Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
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10
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Iodine quantification based on rest / stress perfusion dual energy CT to differentiate ischemic, infarcted and normal myocardium. Eur J Radiol 2019; 112:136-143. [PMID: 30777202 DOI: 10.1016/j.ejrad.2019.01.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 12/06/2018] [Accepted: 01/15/2019] [Indexed: 11/20/2022]
Abstract
BACKGROUND The aim of this study was to assess the potential of rest-stress DECT iodine quantification to discriminate between normal, ischemic, and infarcted myocardium. METHODS Patients who underwent rest-stress DECT on a 2nd generation dual-source system and cardiac magnetic resonance (CMR) were retrospectively included from a prospective study cohort. CMR was performed to identify ischemic and infarcted myocardium and categorize patients into ischemic, infarcted, and control groups. Controls were analyzed on a per-slice and per-segment basis. Regions of interest (ROIs) were placed in ischemic and infarcted areas based on CMR. Additionally, ROIs were placed in the septal area to assess normal and remote myocardium. RESULTS We included 42 patients: 10 ischemic, 17 infarcted, and 15 controls. Iodine concentrations showed no significant between segments in controls. Iodine concentrations for normal myocardium increased significantly from rest to stress (median 3.7 mg/mL (interquartile range 3.5-3.9) vs. 4.5 mg/mL (4.3-4.9)) (p < 0.001). Iodine concentrations in diseased myocardium were significantly lower than in normal myocardium; 1.3 mg/mL (0.9-1.8) and 0.6 mg/mL (0.4-0.8) at rest and stress in ischemic myocardium, and 0.3 mg/mL (0.3-0.5) and 0.5 mg/mL (0.5-0.7) at rest and stress in infarcted myocardium (p < 0.005 and p < 0.001). At rest only, iodine concentrations were significantly lower in infarcted vs. ischemic myocardium (p < 0.001). The optimal threshold for differentiating diseased from normal myocardium was 2.5 mg/mL and 2.1 mg/mL for rest and stress (AUC 1.00). To discriminate ischemic from infarcted myocardium, the optimal threshold was 1.0 mg/ml (AUC 0.944) at rest. CONCLUSION DECT iodine concentration from rest-stress imaging can potentially differentiate between normal, ischemic, and infarcted myocardium.
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11
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Ko SM, Hwang SH, Lee HJ. Role of Cardiac Computed Tomography in the Diagnosis of Left Ventricular Myocardial Diseases. J Cardiovasc Imaging 2019; 27:73-92. [PMID: 30993942 PMCID: PMC6470070 DOI: 10.4250/jcvi.2019.27.e17] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 12/26/2018] [Accepted: 01/10/2019] [Indexed: 01/09/2023] Open
Abstract
Multimodality imaging is indicated for the evaluation of left ventricular (LV) myocardial diseases. Cardiac magnetic resonance (CMR) allows morphological and functional assessment of the LV along with soft tissue characterization. Technological advances in cardiac computed tomography (CT) have led to the development of techniques for diagnostic acquisition in LV myocardial disease. Cardiac CT facilitates the characterization of LV myocardial disease based on anatomy, function, and enhancement pattern. LV regional and global functional parameters are evaluated using multi-phasic cine CT images. CT myocardial perfusion facilitates the identification of hemodynamically significant coronary artery stenosis. Cardiac CT with delayed enhancement is used to detect myocardial scarring or fibrosis in myocardial infarction and non-ischemic cardiomyopathy, and for the measurement of extracellular volume fraction in non-ischemic cardiomyopathy. In this review, we review imaging techniques and key imaging features of cardiac CT used for the evaluation of myocardial diseases, along with CMR findings.
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Affiliation(s)
- Sung Min Ko
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea.
| | - Sung Ho Hwang
- Department of Radiology, Korea University Anam Hospital, Seoul, Korea
| | - Hye Jeong Lee
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
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Tesche C, De Cecco CN, Albrecht MH, Duguay TM, Bayer RR, Litwin SE, Steinberg DH, Schoepf UJ. Coronary CT Angiography–derived Fractional Flow Reserve. Radiology 2017; 285:17-33. [DOI: 10.1148/radiol.2017162641] [Citation(s) in RCA: 111] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Christian Tesche
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (C.T., C.N.D.C., M.H.A., T.M.D., R.R.B., S.E.L., U.J.S.), and Division of Cardiology, Department of Medicine (R.R.B., S.E.L., D.H.S., U.J.S.), Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260
| | - Carlo N. De Cecco
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (C.T., C.N.D.C., M.H.A., T.M.D., R.R.B., S.E.L., U.J.S.), and Division of Cardiology, Department of Medicine (R.R.B., S.E.L., D.H.S., U.J.S.), Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260
| | - Moritz H. Albrecht
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (C.T., C.N.D.C., M.H.A., T.M.D., R.R.B., S.E.L., U.J.S.), and Division of Cardiology, Department of Medicine (R.R.B., S.E.L., D.H.S., U.J.S.), Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260
| | - Taylor M. Duguay
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (C.T., C.N.D.C., M.H.A., T.M.D., R.R.B., S.E.L., U.J.S.), and Division of Cardiology, Department of Medicine (R.R.B., S.E.L., D.H.S., U.J.S.), Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260
| | - Richard R. Bayer
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (C.T., C.N.D.C., M.H.A., T.M.D., R.R.B., S.E.L., U.J.S.), and Division of Cardiology, Department of Medicine (R.R.B., S.E.L., D.H.S., U.J.S.), Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260
| | - Sheldon E. Litwin
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (C.T., C.N.D.C., M.H.A., T.M.D., R.R.B., S.E.L., U.J.S.), and Division of Cardiology, Department of Medicine (R.R.B., S.E.L., D.H.S., U.J.S.), Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260
| | - Daniel H. Steinberg
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (C.T., C.N.D.C., M.H.A., T.M.D., R.R.B., S.E.L., U.J.S.), and Division of Cardiology, Department of Medicine (R.R.B., S.E.L., D.H.S., U.J.S.), Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260
| | - U. Joseph Schoepf
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (C.T., C.N.D.C., M.H.A., T.M.D., R.R.B., S.E.L., U.J.S.), and Division of Cardiology, Department of Medicine (R.R.B., S.E.L., D.H.S., U.J.S.), Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260
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Branch KR, Haley RD, Bittencourt MS, Patel AR, Hulten E, Blankstein R. Myocardial computed tomography perfusion. Cardiovasc Diagn Ther 2017; 7:452-462. [PMID: 29255689 DOI: 10.21037/cdt.2017.06.11] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Despite having excellent diagnostic accuracy to detect anatomical coronary stenosis, coronary CT angiography (CTA) has a limited specificity to detect myocardial ischemia. CT perfusion (CTP) can identify myocardial perfusion defects during vasodilator stress, and when added to coronary CTA, improves the specificity of detecting hemodynamically significant stenosis. A CTP protocol typically involves the acquisition of two separate data sets: (I) a rest scan that can be used as both a coronary CTA and for evaluating rest myocardial perfusion, and (II) a stress CTP scan acquired during vasodilator stress testing. This review summarizes some the techniques, strengths, and limitations of CTP, and provides an overview of the recent evidence supporting the potential use of CTP in clinical practice.
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Affiliation(s)
- Kelley R Branch
- Department of Medicine (Cardiovascular Division), University of Washington, Seattle, WA, USA
| | - Ryan D Haley
- Cardiology Service, Department of Internal Medicine, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Marcio Sommer Bittencourt
- Division of Internal Medicine, University Hospital and State of São Paulo Cancer Institute (ICESP), University of São Paulo, São Paulo, Brazil.,Preventive Medicine Center Hospital Israelita Albert Einstein and School of Medicine, Faculdade Israelita de Ciência da Saúde Albert Einstein, São Paulo, Brazil
| | - Amit R Patel
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Edward Hulten
- Cardiology Service, Department of Internal Medicine, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Ron Blankstein
- Cardiovascular Imaging Program, Departments of Medicine (Cardiovascular Division) and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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Myocardial CT Perfusion: A Review of Current Modalities, Technology, and Clinical Performance. CURRENT CARDIOVASCULAR IMAGING REPORTS 2017. [DOI: 10.1007/s12410-017-9423-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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La Grutta L, Toia P, Maffei E, Cademartiri F, Lagalla R, Midiri M. Infarct characterization using CT. Cardiovasc Diagn Ther 2017; 7:171-188. [PMID: 28540212 DOI: 10.21037/cdt.2017.03.18] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Myocardial infarction (MI) is a major cause of death and disability worldwide. The incidence is not expected to diminish, despite better prevention, diagnosis and treatment, because of the ageing population in industrialized countries and unhealthy lifestyles in developing countries. Nowadays it is highly requested an imaging tool able to evaluate MI and viability. Technology improvements determined an expansion of clinical indications from coronary plaque evaluation to functional applications (perfusion, ischemia and viability after MI) integrating additional phases and information in the mainstream examination. Cardiac computed tomography (CCT) and cardiac MR (CMR) employ different contrast media, but may characterize MI with overlapping imaging findings due to the similar kinetics and tissue distribution of gadolinium and iodinated contrast media. CCT may detect first-pass perfusion defects, dynamic perfusion after pharmacological stress, and delayed enhancement (DE) of non-viable territories.
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Affiliation(s)
| | - Patrizia Toia
- Department of Radiology, DIBIMED, University of Palermo, Palermo, Italy
| | - Erica Maffei
- Department of Radiology, Montreal Heart Institute/Universitè de Montreal, Montreal, Canada
| | - Filippo Cademartiri
- Department of Radiology, Montreal Heart Institute/Universitè de Montreal, Montreal, Canada.,Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Roberto Lagalla
- Department of Radiology, DIBIMED, University of Palermo, Palermo, Italy
| | - Massimo Midiri
- Department of Radiology, DIBIMED, University of Palermo, Palermo, Italy
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17
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Vliegenthart R, De Cecco CN, Wichmann JL, Meinel FG, Pelgrim GJ, Tesche C, Ebersberger U, Pugliese F, Bamberg F, Choe YH, Wang Y, Schoepf UJ. Dynamic CT myocardial perfusion imaging identifies early perfusion abnormalities in diabetes and hypertension: Insights from a multicenter registry. J Cardiovasc Comput Tomogr 2016; 10:301-8. [DOI: 10.1016/j.jcct.2016.05.005] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Revised: 05/17/2016] [Accepted: 05/22/2016] [Indexed: 11/27/2022]
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18
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The dream of a one-stop-shop: Meta-analysis on myocardial perfusion CT. Eur J Radiol 2015; 84:2411-20. [DOI: 10.1016/j.ejrad.2014.12.032] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2014] [Revised: 12/21/2014] [Accepted: 12/31/2014] [Indexed: 11/19/2022]
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Tomografía computarizada cardiaca: Nuevas aplicaciones de una técnica en evolución. ARCHIVOS DE CARDIOLOGIA DE MEXICO 2015; 85:63-7. [DOI: 10.1016/j.acmx.2014.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2014] [Revised: 10/19/2014] [Accepted: 10/23/2014] [Indexed: 11/23/2022] Open
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Li W, Zhu X, Li J, Peng C, Chen N, Qi Z, Yang Q, Gao Y, Zhao Y, Sun K, Li K. Comparison of the sensitivity and specificity of 5 image sets of dual-energy computed tomography for detecting first-pass myocardial perfusion defects compared with positron emission tomography. Medicine (Baltimore) 2014; 93:e329. [PMID: 25526492 PMCID: PMC4603095 DOI: 10.1097/md.0000000000000329] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
The sensitivity and specificity of 5 different image sets of dual-energy computed tomography (DECT) for the detection of first-pass myocardial perfusion defects have not systematically been compared using positron emission tomography (PET) as a reference standard. Forty-nine consecutive patients, with known or strongly suspected of coronary artery disease, were prospectively enrolled in our study. Cardiac DECT was performed at rest state using a second-generation 128-slice dual-source CT. The DECT data were reconstructed to iodine maps, monoenergetic images, 100 kV images, nonlinearly blended images, and linearly blended images by different postprocessing techniques. The myocardial perfusion defects on DECT images were visually assessed by 5 observers, using standard 17-segment model. Diagnostic accuracy of 5 image sets was assessed using nitrogen-13 ammonia PET as the gold standard. Discrimination was quantified using the area under the receiver operating characteristic curve (AUC), and AUCs were compared using the method of DeLong. The DECT and PET examinations were successfully completed in 30 patients and a total of 90 territories and 510 segments were analyzed. Cardiac PET revealed myocardial perfusion defects in 56 territories (62%) and 209 segments (41%). The AUC of iodine maps, monoenergetic images, 100 kV images, nonlinearly blended images, and linearly blended images were 0.986, 0.934, 0.913, 0.881, and 0.871, respectively, on a per-territory basis. These values were 0.922, 0.813, 0.779, 0.763, and 0.728, respectively, on a per-segment basis. DECT iodine maps shows high sensitivity and specificity, and is superior to other DECT image sets for the detection of myocardial perfusion defects in the first-pass myocardial perfusion.
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Affiliation(s)
- Wenhuan Li
- From the Department of Radiology (WL, XZ, NC, ZQ, QY, YG, YZ, KS, KL); Department of Cardiology (JL); and PET Centre (CP), Xuanwu Hospital of Capital Medical University, Beijing, China
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Elfigih IA, Henein MY. Non-invasive imaging in detecting myocardial viability: Myocardial function versus perfusion. IJC HEART & VASCULATURE 2014; 5:51-56. [PMID: 28785612 PMCID: PMC5497170 DOI: 10.1016/j.ijcha.2014.10.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Accepted: 10/08/2014] [Indexed: 01/29/2023]
Abstract
Coronary artery disease (CAD) is the most prevalent and single most common cause of morbidity and mortality [1] with the resulting left ventricular (LV) dysfunction an important complication. The distinction between viable and non-viable myocardium in patients with LV dysfunction is a clinically important issue among possible candidates for myocardial revascularization. Several available non-invasive techniques are used to detect and assess ischemia and myocardial viability. These techniques include echocardiography, radionuclide images, cardiac magnetic resonance imaging and recently myocardial computed tomography perfusion imaging. This review aims to distinguish between the available non-invasive imaging techniques in detecting signs of functional and perfusion viability and identify those which have the most clinical relevance in detecting myocardial viability in patients with CAD and chronic ischemic LV dysfunction. The most current available studies showed that both myocardial perfusion and function based on non-invasive imaging have high sensitivity with however wide range of specificity for detecting myocardial viability. Both perfusion and function imaging modalities provide complementary information about myocardial viability and no optimum single imaging technique exists that can provide very accurate diagnostic and prognostic viability assessment. The weight of the body of evidence suggested that non-invasive imaging can help in guiding therapeutic decision making in patients with LV dysfunction.
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Affiliation(s)
| | - Michael Y. Henein
- Canterbury Christ Church University, Canterbury, UK
- Heart Centre and Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
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Bucher AM, De Cecco CN, Schoepf UJ, Wang R, Meinel FG, Binukrishnan SR, Spearman JV, Vogl TJ, Ruzsics B. Cardiac CT for myocardial ischaemia detection and characterization--comparative analysis. Br J Radiol 2014; 87:20140159. [PMID: 25135617 DOI: 10.1259/bjr.20140159] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The assessment of patients presenting with symptoms of myocardial ischaemia remains one of the most common and challenging clinical scenarios faced by physicians. Current imaging modalities are capable of three-dimensional, functional and anatomical views of the heart and as such offer a unique contribution to understanding and managing the pathology involved. Evidence has accumulated that visual anatomical coronary evaluation does not adequately predict haemodynamic relevance and should be complemented by physiological evaluation, highlighting the importance of functional assessment. Technical advances in CT technology over the past decade have progressively moved cardiac CT imaging into the clinical workflow. In addition to anatomical evaluation, cardiac CT is capable of providing myocardial perfusion parameters. A variety of CT techniques can be used to assess the myocardial perfusion. The single energy first-pass CT and dual energy first-pass CT allow static assessment of myocardial blood pool. Dynamic cardiac CT imaging allows quantification of myocardial perfusion through time-resolved attenuation data. CT-based myocardial perfusion imaging (MPI) is showing promising diagnostic accuracy compared with the current reference modalities. The aim of this review is to present currently available myocardial perfusion techniques with a focus on CT imaging in light of recent clinical investigations. This article provides a comprehensive overview of currently available CT approaches of static and dynamic MPI and presents the results of corresponding clinical trials.
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Affiliation(s)
- A M Bucher
- 1 Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
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Rubin GD, Leipsic J, Joseph Schoepf U, Fleischmann D, Napel S. CT angiography after 20 years: a transformation in cardiovascular disease characterization continues to advance. Radiology 2014; 271:633-52. [PMID: 24848958 DOI: 10.1148/radiol.14132232] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Through a marriage of spiral computed tomography (CT) and graphical volumetric image processing, CT angiography was born 20 years ago. Fueled by a series of technical innovations in CT and image processing, over the next 5-15 years, CT angiography toppled conventional angiography, the undisputed diagnostic reference standard for vascular disease for the prior 70 years, as the preferred modality for the diagnosis and characterization of most cardiovascular abnormalities. This review recounts the evolution of CT angiography from its development and early challenges to a maturing modality that has provided unique insights into cardiovascular disease characterization and management. Selected clinical challenges, which include acute aortic syndromes, peripheral vascular disease, aortic stent-graft and transcatheter aortic valve assessment, and coronary artery disease, are presented as contrasting examples of how CT angiography is changing our approach to cardiovascular disease diagnosis and management. Finally, the recently introduced capabilities for multispectral imaging, tissue perfusion imaging, and radiation dose reduction through iterative reconstruction are explored with consideration toward the continued refinement and advancement of CT angiography.
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Affiliation(s)
- Geoffrey D Rubin
- From the Duke Clinical Research Institute, 2400 Pratt St, Box 17969, Durham, NC 27715 (G.D.R.); Department of Medical Imaging and Division of Cardiology, University of British Columbia, Vancouver, BC, Canada (J.L.); Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC (U.J.S.); and Department of Radiology, Stanford University School of Medicine, Stanford, Calif (D.F., S.N.)
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Incremental Value of Pharmacological Stress Cardiac Dual-Energy CT Over Coronary CT Angiography Alone for the Assessment of Coronary Artery Disease in a High-Risk Population. AJR Am J Roentgenol 2014; 203:W70-7. [DOI: 10.2214/ajr.13.11772] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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De Cecco CN, Meinel FG, Chiaramida SA, Costello P, Bamberg F, Schoepf UJ. Coronary artery computed tomography scanning. Circulation 2014; 129:1341-5. [PMID: 24664217 DOI: 10.1161/circulationaha.113.002835] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Carlo Nicola De Cecco
- Department of Radiology and Radiological Science (C.N.D.C., F.G.M., P.C. U.J.S.) and the Division of Cardiology, Department of Medicine (S.A.C., U.J.S.), Medical University of South Carolina, Charleston; the Departments of Radiological Sciences, Oncology, and Pathology, University of Rome "Sapienza" - Polo Pontino, Latina, Italy (C.N.D.C.); the Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (F.G.M.); and Department of Radiology, University of Tuebingen, Germany (F.B.)
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Clayton B, Roobottom C, Morgan-Hughes G. Assessment of the myocardium with cardiac computed tomography. Eur Heart J Cardiovasc Imaging 2014; 15:603-9. [PMID: 24578413 DOI: 10.1093/ehjci/jeu028] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
The imaging of myocardial disease is of increasing importance for cardiologists from all subspecialties, for diagnosis, risk stratification, or to facilitate therapy. While the gold standard modalities for such assessment are cardiac magnetic resonance and echocardiography, these are not universally suitable. Cardiac computed tomography (CT), well-established for the assessment of coronary artery disease (CAD), can be of value in the assessment of myocardial pathology, due to excellent patient compatibility and tolerability, high spatial resolution, and acceptable tissue characterization. This review considers the value and limitations of CT in the assessment of the myocardial sequelae of CAD, and for patients with a variety of other cardiomyopathic diseases, depicts some of the common findings, and considers current developments in this area.
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Affiliation(s)
- Benjamin Clayton
- Cardiology Department, X-Ray East, Derriford Hospital, Plymouth PL6 8DH, UK
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Koonce JD, Vliegenthart R, Schoepf UJ, Schmidt B, Wahlquist AE, Nietert PJ, Bastarrika G, Flohr TG, Meinel FG. Accuracy of dual-energy computed tomography for the measurement of iodine concentration using cardiac CT protocols: validation in a phantom model. Eur Radiol 2013; 24:512-8. [PMID: 24141716 DOI: 10.1007/s00330-013-3040-6] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2013] [Revised: 09/09/2013] [Accepted: 09/22/2013] [Indexed: 11/24/2022]
Abstract
PURPOSE To assess the accuracy of dual-energy CT (DECT) for the quantification of iodine concentrations in a thoracic phantom across various cardiac DECT protocols and simulated patient sizes. MATERIALS AND METHODS Experiments were performed on first- and second-generation dual-source CT (DSCT) systems in DECT mode using various cardiac DECT protocols. An anthropomorphic thoracic phantom was equipped with tubular inserts containing known iodine concentrations (0-20 mg/mL) in the cardiac chamber and up to two fat-equivalent rings to simulate different patient sizes. DECT-derived iodine concentrations were measured using dedicated software and compared to true concentrations. General linear regression models were used to identify predictors of measurement accuracy RESULTS Correlation between measured and true iodine concentrations (n = 72) across CT systems and protocols was excellent (R = 0.994-0.997, P < 0.0001). Mean measurement errors were 3.0 ± 7.0% and -2.9 ± 3.8% for first- and second-generation DSCT, respectively. This error increased with simulated patient size. The second-generation DSCT showed the most stable measurements across a wide range of iodine concentrations and simulated patient sizes. CONCLUSION Overall, DECT provides accurate measurements of iodine concentrations across cardiac CT protocols, strengthening the case for DECT-derived blood volume estimates as a surrogate of myocardial blood supply. KEY POINTS • Dual-energy CT provides new opportunities for quantitative assessment in cardiac imaging. • DECT can quantify myocardial iodine as a surrogate for myocardial perfusion. • DECT measurements of iodine concentrations are overall very accurate. • The accuracy of such measurements decreases as patient size increases.
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Affiliation(s)
- James D Koonce
- Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Drive, Charleston, SC, 29425-2260, USA
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Liu CP, Lin YH, Lin MS, Huang WC, Lin SL. Evaluation of myocardial infarction patients after coronary revasculation by dual-phase multi-detector computed tomography: Now and in future. World J Cardiol 2013; 5:115-118. [PMID: 23675560 PMCID: PMC3653013 DOI: 10.4330/wjc.v5.i4.115] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2012] [Revised: 02/19/2013] [Accepted: 03/23/2013] [Indexed: 02/06/2023] Open
Abstract
Multidetector-row computed tomography (MDCT) has become one of the major tools in diagnosing and evaluating patients with coronary artery disease in recent years. In selected patients, MDCT has been shown to provide more reliable accuracy in detection of stent patency than invasive coronary angiography. Chiou et al reported a delicate infarcted myocardium at-risk score. According to their results, the MDCT-based myocardium at-risk score had a good correlation with the thallium 201 ST-segment elevation myocardial infarction-based summed difference score (r = 0.841, P < 0.001). They claimed that dual-phase MDCT is useful in detecting different patterns of obstructive lesions and the extent of myocardium at risk. In this commentary, we discuss the current status of the clinical application of MDCT in patients with myocardial infarction in relation to evaluating the myocardial perfusion defect, detecting reversible myocardial ischemia, assessing myocardial viability, estimating target lesion restenosis, and calculating of fractional flow reserve from MDCT.
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Abstract
OBJECTIVE Interest in dual-energy CT (DECT) for evaluating the myocardial blood supply, as an addition to coronary artery assessment, is increasing. Although it is still in the early clinical phase, assessment of myocardial ischemia and infarction by DECT constitutes a promising step toward comprehensive evaluation of coronary artery disease with a single noninvasive modality. CONCLUSION Compared with dynamic CT approaches, DECT has advantages regarding radiation dose and clinical applicability. In this review, the literature on DECT of the heart is discussed.
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Dual Energy CT With Nonlinear Image Blending Improves Visualization of Delayed Myocardial Contrast Enhancement in Acute Myocardial Infarction. Invest Radiol 2013. [DOI: 10.1097/rli.0b013e3182749b38] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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32
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Current world literature. Curr Opin Cardiol 2012; 27:682-95. [PMID: 23075824 DOI: 10.1097/hco.0b013e32835a0ad8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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