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Artificial Intelligence in Cardiovascular CT and MR Imaging. Life (Basel) 2023; 13:life13020507. [PMID: 36836864 PMCID: PMC9968221 DOI: 10.3390/life13020507] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 02/06/2023] [Accepted: 02/09/2023] [Indexed: 02/15/2023] Open
Abstract
The technological development of Artificial Intelligence (AI) has grown rapidly in recent years. The applications of AI to cardiovascular imaging are various and could improve the radiologists' workflow, speeding up acquisition and post-processing time, increasing image quality and diagnostic accuracy. Several studies have already proved AI applications in Coronary Computed Tomography Angiography and Cardiac Magnetic Resonance, including automatic evaluation of calcium score, quantification of coronary stenosis and plaque analysis, or the automatic quantification of heart volumes and myocardial tissue characterization. The aim of this review is to summarize the latest advances in the field of AI applied to cardiovascular CT and MR imaging.
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Guglielmo M, Pontone G. Clinical implications of cardiac magnetic resonance imaging fibrosis. Eur Heart J Suppl 2022; 24:I123-I126. [PMID: 36380812 PMCID: PMC9653130 DOI: 10.1093/eurheartjsupp/suac085] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Abstract
Cardiac magnetic resonance (CMR) is a non-invasive imaging method that allows to characterize myocardial tissue. In particular, using the late gadolinium enhancement technique, it is possible to identify areas of focal fibrosis. Specific distribution patterns of this fibrosis allow us to distinguish ischaemic cardiomyopathy (iCMP) from non-ischaemic cardiomyopathy (nCMP) and sometimes to identify the aetiology of the latter. Diffuse fibrosis can also be identified using the parametric T1 mapping sequences. For this purpose, the native T1 of the tissue is measured before the administration of the contrast agent (c.a.) or the extracellular volume is calculated after c.a. Both focal and diffuse fibrosis evaluated with CMR appear to be strong prognostic predictors for the identification of threatening ventricular arrhythmias and sudden cardiac death. These evidence open the doors to a possible role of CMR in the selection of the patient to be sent to a defibrillator implant in primary prevention. In this review, we will briefly review the techniques used in CMR for the evaluation of fibrosis. We will then focus on the clinical role of myocardial tissue fibrosis detection in iCMP and nCMP.
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Affiliation(s)
- Marco Guglielmo
- Department of Cardiology, Division of Heart and Lungs, Utrecht University, Utrecht University Medical Center, Utrecht, The Netherlands
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3
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Gambril JA, Chum A, Goyal A, Ruz P, Mikrut K, Simonetti O, Dholiya H, Patel B, Addison D. Cardiovascular Imaging in Cardio-Oncology: The Role of Echocardiography and Cardiac MRI in Modern Cardio-Oncology. Heart Fail Clin 2022; 18:455-478. [PMID: 35718419 PMCID: PMC9280694 DOI: 10.1016/j.hfc.2022.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Cardiovascular (CV) events are an increasingly common limitation of effective anticancer therapy. Over the last decade imaging has become essential to patients receiving contemporary cancer therapy. Herein we discuss the current state of CV imaging in cardio-oncology. We also provide a practical apparatus for the use of imaging in everyday cardiovascular care of oncology patients to improve outcomes for those at risk for cardiotoxicity, or with established cardiovascular disease. Finally, we consider future directions in the field given the wave of new anticancer therapies.
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Affiliation(s)
- John Alan Gambril
- Department of Internal Medicine, Ohio State University Wexner Medical Center, Columbus, OH, USA; Cardio-Oncology Program, Division of Cardiology, The Ohio State University Medical Center, Columbus, OH, USA. https://twitter.com/GambrilAlan
| | - Aaron Chum
- Cardio-Oncology Program, Division of Cardiology, The Ohio State University Medical Center, Columbus, OH, USA; Division of Cardiovascular Medicine, Davis Heart & Lung Research Institute, 473 West 12th Avenue, Suite 200, Columbus, OH 43210, USA
| | - Akash Goyal
- Cardio-Oncology Program, Division of Cardiology, The Ohio State University Medical Center, Columbus, OH, USA; Division of Cardiovascular Medicine, Davis Heart & Lung Research Institute, 473 West 12th Avenue, Suite 200, Columbus, OH 43210, USA. https://twitter.com/agoyalMD
| | - Patrick Ruz
- Cardio-Oncology Program, Division of Cardiology, The Ohio State University Medical Center, Columbus, OH, USA; Division of Cardiovascular Medicine, Davis Heart & Lung Research Institute, 473 West 12th Avenue, Suite 200, Columbus, OH 43210, USA
| | - Katarzyna Mikrut
- Cardio-Oncology Program, Division of Cardiology, The Ohio State University Medical Center, Columbus, OH, USA. https://twitter.com/KatieMikrut
| | - Orlando Simonetti
- Cardio-Oncology Program, Division of Cardiology, The Ohio State University Medical Center, Columbus, OH, USA; Division of Cardiovascular Medicine, Davis Heart & Lung Research Institute, 473 West 12th Avenue, Suite 200, Columbus, OH 43210, USA; Department of Internal Medicine, The Ohio State University Medical Center, Columbus, OH, USA; Department of Radiology, The Ohio State University Medical Center, Columbus, OH, USA
| | - Hardeep Dholiya
- Cardio-Oncology Program, Division of Cardiology, The Ohio State University Medical Center, Columbus, OH, USA; Division of Cardiovascular Medicine, Davis Heart & Lung Research Institute, 473 West 12th Avenue, Suite 200, Columbus, OH 43210, USA. https://twitter.com/Hardeep_10
| | - Brijesh Patel
- Division of Cardiovascular Medicine, Davis Heart & Lung Research Institute, 473 West 12th Avenue, Suite 200, Columbus, OH 43210, USA; Cardio-Oncology Program, Heart and Vascular Institute, West Virginia University, Morgantown, WV, USA
| | - Daniel Addison
- Cardio-Oncology Program, Division of Cardiology, The Ohio State University Medical Center, Columbus, OH, USA; Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA.
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Polacin M, Karolyi M, Eberhard M, Matziris I, Alkadhi H, Kozerke S, Manka R. Segmental strain for scar detection in acute myocardial infarcts and in follow-up exams using non-contrast CMR cine sequences. BMC Cardiovasc Disord 2022; 22:226. [PMID: 35585495 PMCID: PMC9118592 DOI: 10.1186/s12872-022-02664-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 05/03/2022] [Indexed: 11/10/2022] Open
Abstract
Background The purpose of the study was to investigate feasibility of infarct detection in segmental strain derived from non-contrast cardiac magnetic resonance (CMR) cine sequences in patients with acute myocardial infarction (AMI) and in follow-up (FU) exams. Methods 57 patients with AMI (mean age 61 ± 12 years, CMR 2.8 ± 2 days after infarction) were retrospectively included, FU exams were available in 32 patients (35 ± 14 days after first CMR). 43 patients with normal CMR (54 ± 11 years) served as controls. Dedicated software (Segment CMR, Medviso) was used to calculate global and segmental strain derived from cine sequences. Cine short axis stacks and segmental circumferential strain calculations of every patient and control were presented to two blinded readers in random order, who were advised to identify potentially infarcted segments, blinded to LGE and clinical information. Results Impaired global strain was measured in AMI patients compared to controls (global peak circumferential strain [GPCS] p = 0.01; global peak longitudinal strain [GPLS] p = 0.04; global peak radial strain [GPRS] p = 0.01). In both imaging time points, mean segmental peak circumferential strain [SPCS] was impaired in infarcted tissue compared to remote segments (AMI: p = 0.03, FU: p = 0.02). SPCS values in infarcted segments were similar between AMI and FU (p = 0.8). In SPCS calculations, 141 from 189 acutely infarcted segments were accurately detected (74.6%), visual evaluation of correlating cine images detected 43.4% infarcts. In FU, 80% infarcted segments (91/114 segments) were detected in SPCS and 51.8% by visual evaluation of correlating short axis cine images (p = 0.01). Conclusion Segmental circumferential strain derived from routinely acquired native cine sequences detects nearly 75% of acute infarcts and 80% of infarcts in subacute follow-up CMR, significantly more than visual evaluation of correlating cine images alone. Acute infarcts may display only subtle impairment of wall motion and no obvious wall thinning, thus SPCS calculation might be helpful for scar detection in patients with acute infarcts, when LGE images are not available.
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Affiliation(s)
- Malgorzata Polacin
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland. .,Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, 8092, Zurich, Switzerland.
| | - Mihaly Karolyi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Matthias Eberhard
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Ioannis Matziris
- Department of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Hatem Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, 8092, Zurich, Switzerland
| | - Robert Manka
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.,Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, 8092, Zurich, Switzerland.,Department of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
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Mao X, Lee HL, Hu Z, Cao T, Han F, Ma S, Serry FM, Fan Z, Xie Y, Li D, Christodoulou AG. Simultaneous Multi-Slice Cardiac MR Multitasking for Motion-Resolved, Non-ECG, Free-Breathing T1–T2 Mapping. Front Cardiovasc Med 2022; 9:833257. [PMID: 35310971 PMCID: PMC8930916 DOI: 10.3389/fcvm.2022.833257] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 01/27/2022] [Indexed: 02/05/2023] Open
Abstract
The aim of this study is to simultaneously quantify T1/T2 across three slices of the left-ventricular myocardium without breath-holds or ECG monitoring, all within a 3 min scan. Radial simultaneous multi-slice (SMS) encoding, self-gating, and image reconstruction was incorporated into the cardiovascular magnetic resonance (CMR) Multitasking framework to simultaneously image three short-axis slices. A T2prep-IR FLASH sequence with two flip angles was designed and implemented to allow B1+-robust T1 and T2 mapping. The proposed Multitasking-SMS method was validated in a standardized phantom and 10 healthy volunteers, comparing T1 and T2 measurements and scan-rescan repeatability against corresponding reference methods in one layer of phantom vials and in 16 American Heart Association (AHA) myocardial segments. In phantom, Multitasking-SMS T1/T2 measurements showed substantial correlation (R2 > 0.996) and excellent agreement [intraclass correlation coefficients (ICC) ≥ 0.999)] with reference measurements. In healthy volunteers, Multitasking-SMS T1/T2 maps reported similar myocardial T1/T2 values (1,215 ± 91.0/41.5 ± 6.3 ms) to the reference myocardial T1/T2 values (1,239 ± 67.5/42.7 ± 4.1 ms), with P = 0.347 and P = 0.296, respectively. Bland–Altman analyses also demonstrated good in vivo repeatability in both the multitasking and references, with segment-wise coefficients of variation of 4.7% (multitasking T1), 8.9% (multitasking T2), 2.4% [modified look-locker inversion recovery (MOLLI)], and 4.6% (T2-prep FLASH), respectively. In summary, multitasking-SMS is feasible for free-breathing, non-ECG, myocardial T1/T2 quantification in 16 AHA segments over 3 short-axis slices in 3 min. The method shows the great potential for reducing exam time for quantitative CMR without ECG or breath-holds.
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Affiliation(s)
- Xianglun Mao
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Hsu-Lei Lee
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Zhehao Hu
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Radiology, University of Southern California, Los Angeles, CA, United States
| | - Tianle Cao
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States
| | - Fei Han
- Siemens Medical Solutions, Inc., Los Angeles, CA, United States
| | - Sen Ma
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Fardad M. Serry
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Zhaoyang Fan
- Department of Radiology, University of Southern California, Los Angeles, CA, United States
| | - Yibin Xie
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States
| | - Anthony G. Christodoulou
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States
- *Correspondence: Anthony G. Christodoulou
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Velasco C, Cruz G, Jaubert O, Lavin B, Botnar RM, Prieto C. Simultaneous comprehensive liver T 1 , T 2 , T 2 ∗ , T 1ρ , and fat fraction characterization with MR fingerprinting. Magn Reson Med 2021; 87:1980-1991. [PMID: 34792212 DOI: 10.1002/mrm.29089] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 10/18/2021] [Accepted: 10/29/2021] [Indexed: 12/23/2022]
Abstract
PURPOSE To develop a novel simultaneous co-registered T1 , T2 , T 2 ∗ , T1ρ , and fat fraction abdominal MR fingerprinting (MRF) approach for fully comprehensive liver-tissue characterization in a single breath-hold scan. METHODS A gradient-echo liver MRF sequence with low fixed flip angle, multi-echo radial readout, and varying magnetization preparation pulses for multiparametric encoding is performed at 1.5 T. The T 2 ∗ and fat fraction are estimated from a graph/cut water/fat separation method using a six-peak fat model. Water/fat singular images obtained are then matched to an MRF dictionary, estimating water-specific T1 , T2 , and T1ρ . The proposed approach was tested in phantoms and 10 healthy subjects and compared against conventional sequences. RESULTS For the phantom studies, linear fits show excellent coefficients of determination (r2 > 0.9) for every parametric map. For in vivo studies, the average values measured within regions of interest drawn on liver, spleen, muscle, and fat are statistically different from the reference scans (p < 0.05) for T1 , T2 , and T1⍴ but not for T 2 ∗ and fat fraction, whereas correlation between MRF and reference scans is excellent for each parameter (r2 > 0.92 for every parameter). CONCLUSION The proposed multi-echo inversion-recovery, T2 , and T1⍴ prepared liver MRF sequence presented in this work allows for quantitative T1 , T2 , T 2 ∗ , T1⍴ , and fat fraction liver-tissue characterization in a single breath-hold scan of 18 seconds. The approach showed good agreement and correlation with respect to reference clinical maps.
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Affiliation(s)
- Carlos Velasco
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Gastão Cruz
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Olivier Jaubert
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Begoña Lavin
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.,Department of Biochemistry and Molecular Biology, School of Chemistry, Complutense University of Madrid, Madrid, Spain
| | - René M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.,School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Claudia Prieto
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.,School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
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7
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Dereli Bulut SS, Nurili F, Öztürkeri B, Sakci Z, Bukte Y, Aras Ö. Preliminary study: myocardial T1 relaxation time in patients with ischemic findings and normal findings on coronary angiography. ACTA ACUST UNITED AC 2021; 67:418-425. [PMID: 34468608 DOI: 10.1590/1806-9282.20200864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 12/28/2020] [Indexed: 11/22/2022]
Abstract
OBJECTIVE The aim of this study is to evaluate the myocardium structure in patients with chest pain who were determined to have moderate and/or high risk for cardiac ischemic heart disease (IHD) but who had normal findings on conventional coronary angiography by using native cardiac magnetic resonance imaging (CMRI) T1 mapping and comparing with healthy volunteers. METHODS A total of 50 patients and 30 healthy volunteers who underwent CMRI were included in our prospective study. Patients whose clinical findings were compatible with stable angina pectoris, with moderate and/or high risk for IHD, but whose conventional coronary angiography was normal, were our patient group. Native T1 values were measured for 17 myocardial segments (segmented based on American Heart Association recommendations) by two radiologists independently. The data obtained were statistically compared with the sample t-test. RESULTS Myocardial native T1 values were found to be significantly prolonged in the patient group compared with the control group (p<0.05). Inter-observer reliability for native T1 value measurements of groups was high for both patient and control groups (α = 0.92 for the patient group and 0.96 for the control group). CONCLUSION Findings suggestive of ischemia were detected by T1 mapping in the myocardium of our patients. For this reason, it is recommended that this patient group should be included in early diagnosis and close follow-up assessments for IHD.
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Affiliation(s)
- Safiye Sanem Dereli Bulut
- Health Sciences University, Istanbul Umraniye Training and Research Hospital, Department of Radiology - Istanbul, Turkey
| | - Fuad Nurili
- Memorial Sloan Kettering Cancer Center, Department of Radiology - New York, USA
| | - Burak Öztürkeri
- Health Sciences University, Istanbul Umraniye Training and Research Hospital, Department of Cardiology - Istanbul, Turkey
| | - Zakir Sakci
- Health Sciences University, Istanbul Umraniye Training and Research Hospital, Department of Radiology - Istanbul, Turkey
| | - Yasar Bukte
- Health Sciences University, Istanbul Umraniye Training and Research Hospital, Department of Radiology - Istanbul, Turkey
| | - Ömer Aras
- Memorial Sloan Kettering Cancer Center, Department of Radiology - New York, USA
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8
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Thongsongsang R, Songsangjinda T, Tanapibunpon P, Krittayaphong R. Native T1 mapping and extracellular volume fraction for differentiation of myocardial diseases from normal CMR controls in routine clinical practice. BMC Cardiovasc Disord 2021; 21:270. [PMID: 34082703 PMCID: PMC8173747 DOI: 10.1186/s12872-021-02086-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 05/25/2021] [Indexed: 01/26/2023] Open
Abstract
Background This study aimed to determine native T1 and extracellular volume fraction (ECV) in distinct types of myocardial disease, including amyloidosis, dilated cardiomyopathy (DCM), hypertrophic cardiomyopathy (HCM), myocarditis and coronary artery disease (CAD), compared to controls. Methods
We retrospectively enrolled patients with distinct types of myocardial disease, CAD patients, and control group (no known heart disease and negative CMR study) who underwent 3.0 Tesla CMR with routine T1 mapping. The region of interest (ROI) was drawn in the myocardium of the mid left ventricular (LV) short axis slice and at the interventricular septum of mid LV slice. ECV was calculated by actual hematocrit (Hct) and synthetic Hct. T1 mapping and ECV was compared between myocardial disease and controls, and between CAD and controls. Diagnostic yield and cut-off values were assessed. Results A total of 1188 patients were enrolled. The average T1 values in the control group were 1304 ± 42 ms at septum, and 1294 ± 37 ms at mid LV slice. The average T1 values in patients with myocardial disease and CAD were significantly higher than in controls (1441 ± 72, 1349 ± 59, 1345 ± 59, 1355 ± 56, and 1328 ± 54 ms for septum of amyloidosis, DCM, HCM, myocarditis, and CAD). Native T1 of the mid LV level and ECV at septum and mid LV with actual and synthetic Hct of patients with myocardial disease or CAD were significantly higher than in controls. Conclusions Although native T1 and ECV of patients with cardiomyopathy and CAD were significantly higher than controls, the values overlapped. The greatest clinical utilization was found for the amyloidosis group. Supplementary Information The online version contains supplementary material available at 10.1186/s12872-021-02086-3.
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Affiliation(s)
- Rawiwan Thongsongsang
- Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkoknoi, Bangkok, 10700, Thailand
| | - Thammarak Songsangjinda
- Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkoknoi, Bangkok, 10700, Thailand
| | - Prajak Tanapibunpon
- Her Majesty Cardiac Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Rungroj Krittayaphong
- Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkoknoi, Bangkok, 10700, Thailand.
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Gupta S, Ge Y, Singh A, Gräni C, Kwong RY. Multimodality Imaging Assessment of Myocardial Fibrosis. JACC Cardiovasc Imaging 2021; 14:2457-2469. [PMID: 34023250 DOI: 10.1016/j.jcmg.2021.01.027] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 01/19/2021] [Accepted: 01/25/2021] [Indexed: 02/07/2023]
Abstract
Myocardial fibrosis, seen in ischemic and nonischemic cardiomyopathies, is associated with adverse cardiac outcomes. Noninvasive imaging plays a key role in early identification and quantification of myocardial fibrosis with the use of an expanding array of techniques including cardiac magnetic resonance, computed tomography, and nuclear imaging. This review discusses currently available noninvasive imaging techniques, provides insights into their strengths and limitations, and examines novel developments that will affect the future of noninvasive imaging of myocardial fibrosis.
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Affiliation(s)
- Sumit Gupta
- Department of Radiology Brigham and Women's Hospital, Boston, Massachusetts, USA; Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Yin Ge
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA; Division of Cardiology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Amitoj Singh
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Christoph Gräni
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Raymond Y Kwong
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
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10
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Zhou Z, Wang R, Wang H, Liu Y, Lu D, Sun Z, Yang G, Xu L. Myocardial extracellular volume fraction quantification in an animal model of the doxorubicin-induced myocardial fibrosis: a synthetic hematocrit method using 3T cardiac magnetic resonance. Quant Imaging Med Surg 2021; 11:510-520. [PMID: 33532252 DOI: 10.21037/qims-20-501] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Background Visualization of diffuse myocardial fibrosis is challenging and mainly relies on histology. Cardiac magnetic resonance (CMR), which uses extracellular contrast agents, is a rapidly developing technique for measuring the extracellular volume (ECV). The objective of this study was to evaluate the feasibility of the synthetic myocardial ECV fraction based on 3.0 T CMR compared with the conventional ECV fraction. Methods This study was approved by the local animal care and ethics committee. Fifteen beagle models with diffuse myocardial fibrosis, including 12 experimental and three control subjects, were generated by injecting doxorubicin 30 mg/m2 intravenously every three weeks for 24 weeks. Short-axis (SAX) and 4-chamber long-axis (LAX) T1 maps were acquired for both groups. The association between hematocrit (Hct) and native T1blood was derived from 9 non-contrast CMR T1 maps of 3 control beagles using regression analysis. Synthetic ECV was then calculated using the synthetic Hct and compared with conventional ECV at baseline and the 16th and 24th week after doxorubicin administration. The collagen volume fraction (CVF) value was measured on digital biopsy samples. Bland-Altman plots were used to analyze the agreement between conventional and synthetic ECV. Correlation analyses were performed to explore the association among conventional ECV, synthetic ECV, CVF, and left ventricular ejection fraction (LVEF). Results The regression model synthetic Hct = 816.46*R1blood - 0.01 (R2=0.617; P=0.012) was used to predict the Hct from native T1blood values. The conventional and synthetic ECV fractions of experimental animals at the 16th and 24th week after modeling were significantly higher than those measured at the baseline (31.4%±2.2% and 36.3%±2.1% vs. 22.9%±1.7%; 29.9%±2.4% and 36.1%±2.6% vs. 22.0%±2.4%; all with P<0.05). Bland-Altman plots showed a bias (1.0%) between conventional and synthetic ECV with 95% limits of agreement of -2.5% to 4.4% in the per-subject analysis (n=21) and a bias (1.0%) between conventional and synthetic ECV with 95% limits of agreement of -2.4% to 4.3% in the per-segment analysis (n=294). Conventional and synthetic ECV were well correlated with CVF (r=0.937 and 0.925, all with P<0.001, n=10). Conclusions Our study showed promising results for using synthetic ECV compared with the conventional ECV for providing accurate quantification of myocardial ECV without the need for blood sampling.
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Affiliation(s)
- Zhen Zhou
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Rui Wang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Hui Wang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yi Liu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Dongxu Lu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Zhonghua Sun
- Department of Medical Radiation Sciences, Curtin University, Perth, WA, Australia
| | - Guang Yang
- Cardiovascular Research Centre, Royal Brompton Hospital, London, UK.,National Heart and Lung Institute, Imperial College London, London, UK
| | - Lei Xu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
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11
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Zhou Z, Gao Y, Wang H, Wang W, Zhang H, Wang S, Sun Z, Xu L. Myocardial extracellular volume fraction analysis in doxorubicin-induced beagle models: comparison of dual-energy CT with equilibrium contrast-enhanced single-energy CT. Cardiovasc Diagn Ther 2021; 11:102-110. [PMID: 33708482 DOI: 10.21037/cdt-20-798] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background Dual-energy CT (DECT) permits the simultaneous operation of two different kV levels, providing a potential method toward the assessment of diffuse myocardial fibrosis. The purpose of this study was to determine the accuracy of DECT for evaluation of the myocardial extracellular volume (ECV) fraction in comparison with single-energy CT (SECT). Methods Myocardial ECV was quantified in fifteen dogs using DECT and dynamic equilibrium SECT before and after doxorubicin administration. Cardiac magnetic resonance imaging (CMRI) was used to assess myocardial function. The histological collagen volume fraction (CVF) was calculated as the gold standard. The Bland-Altman analysis was performed to compare the agreement between DECT-ECV and SECT-ECV. The association among ECV values derived from DECT and SECT, CVF, and left ventricular ejection fraction (LVEF) were determined by correlation analysis. The variations of these values were evaluated using repeated ANOVA. Results The DECT- and SECT-ECV were increased with the elongation of modeling time (pre-modeling vs. 16-week models vs. 24-week models: DECT-ECV 24.1%±1.1%, 35.1%±1.3% and 37.6%±1.4%; SECT-ECV 22.9%±0.8%, 33.6%±1.2% and 36.3%±1.0%; n=30 in per-subject analysis, all P<0.05). Both ECV values of DECT and SECT correlated well with the histological CVF results (R=0.935 and 0.952 for the DECT-ECV and SECT-ECV; all P<0.001; n=13). Bland-Altman plots showed no significant differences between DECT- and SECT-ECV. Conclusions DECT-ECV correlated well with both SECT-ECV and histology, showing the feasibility of DECT in evaluating doxorubicin-induced diffuse myocardial interstitial fibrosis.
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Affiliation(s)
- Zhen Zhou
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yifeng Gao
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Hongwei Wang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Wenjing Wang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Hongkai Zhang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | | | - Zhonghua Sun
- Discipline of Medical Radiation Sciences, Curtin Medical School, Curtin University, Perth, Australia
| | - Lei Xu
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
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12
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Broncano J, Bhalla S, Caro P, Hidalgo A, Vargas D, Williamson E, Gutiérrez F, Luna A. Cardiac MRI in Patients with Acute Chest Pain. Radiographics 2020; 41:8-31. [PMID: 33337967 DOI: 10.1148/rg.2021200084] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Acute chest pain is a common reason for visits to the emergency department. It is important to distinguish among the various causes of acute chest pain, because treatment and prognosis are substantially different among the various conditions. It is critical to exclude acute coronary syndrome (ACS), which is a major cause of hospitalization, death, and health care costs worldwide. Myocardial ischemia is defined as potential myocyte death secondary to an imbalance between oxygen supply and demand due to obstruction of an epicardial coronary artery. Unobstructed coronary artery disease can have cardiac causes (eg, myocarditis, myocardial infarction with nonobstructed coronary arteries, and Takotsubo cardiomyopathy), and noncardiac diseases can manifest with acute chest pain and increased serum cardiac biomarker levels. In the emergency department, cardiac MRI may aid in the identification of patients with non-ST-segment elevation myocardial infarction or unstable angina or ACS with unobstructed coronary artery disease, if the patient's clinical history is known to be atypical. Also, cardiac MRI is excellent for risk stratification of patients for adverse left ventricular remodeling or major adverse cardiac events. Cardiac MRI should be performed early in the course of the disease (<2 weeks after onset of symptoms). Steady-state free-precession T2-weighted MRI with late gadolinium enhancement is the mainstay of the cardiac MRI protocol. Further sequences can be used to analyze the different pathophysiologic subjacent mechanisms of the disease, such as microvascular obstruction or intramyocardial hemorrhage. Finally, cardiac MRI may provide several prognostic biomarkers that help in follow-up of these patients. Online supplemental material is available for this article. ©RSNA, 2020.
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Affiliation(s)
- Jordi Broncano
- From the Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESSALTA, HT Médica, Avenida el Brillante, number 36, 14012, Córdoba, Spain (J.B.); Cardiothoracic Imaging Section, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B., F.G.); Department of Radiology, HT-DADISA, HT Médica, Cádiz, Spain (P.C.); Radiology Unit, Hospital Santa Creu i Sant Pau, Barcelona, Spain (A.H.); Department of Radiology, University of Colorado-Anschutz Medical Campus, Aurora, Colo (D.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.W.); and MRI Section, Department of Radiology, Clínica las Nieves, HT-SERCOSA, HT Médica, Jaén, Spain (A.L.)
| | - Sanjeev Bhalla
- From the Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESSALTA, HT Médica, Avenida el Brillante, number 36, 14012, Córdoba, Spain (J.B.); Cardiothoracic Imaging Section, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B., F.G.); Department of Radiology, HT-DADISA, HT Médica, Cádiz, Spain (P.C.); Radiology Unit, Hospital Santa Creu i Sant Pau, Barcelona, Spain (A.H.); Department of Radiology, University of Colorado-Anschutz Medical Campus, Aurora, Colo (D.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.W.); and MRI Section, Department of Radiology, Clínica las Nieves, HT-SERCOSA, HT Médica, Jaén, Spain (A.L.)
| | - Pilar Caro
- From the Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESSALTA, HT Médica, Avenida el Brillante, number 36, 14012, Córdoba, Spain (J.B.); Cardiothoracic Imaging Section, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B., F.G.); Department of Radiology, HT-DADISA, HT Médica, Cádiz, Spain (P.C.); Radiology Unit, Hospital Santa Creu i Sant Pau, Barcelona, Spain (A.H.); Department of Radiology, University of Colorado-Anschutz Medical Campus, Aurora, Colo (D.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.W.); and MRI Section, Department of Radiology, Clínica las Nieves, HT-SERCOSA, HT Médica, Jaén, Spain (A.L.)
| | - Alberto Hidalgo
- From the Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESSALTA, HT Médica, Avenida el Brillante, number 36, 14012, Córdoba, Spain (J.B.); Cardiothoracic Imaging Section, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B., F.G.); Department of Radiology, HT-DADISA, HT Médica, Cádiz, Spain (P.C.); Radiology Unit, Hospital Santa Creu i Sant Pau, Barcelona, Spain (A.H.); Department of Radiology, University of Colorado-Anschutz Medical Campus, Aurora, Colo (D.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.W.); and MRI Section, Department of Radiology, Clínica las Nieves, HT-SERCOSA, HT Médica, Jaén, Spain (A.L.)
| | - Daniel Vargas
- From the Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESSALTA, HT Médica, Avenida el Brillante, number 36, 14012, Córdoba, Spain (J.B.); Cardiothoracic Imaging Section, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B., F.G.); Department of Radiology, HT-DADISA, HT Médica, Cádiz, Spain (P.C.); Radiology Unit, Hospital Santa Creu i Sant Pau, Barcelona, Spain (A.H.); Department of Radiology, University of Colorado-Anschutz Medical Campus, Aurora, Colo (D.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.W.); and MRI Section, Department of Radiology, Clínica las Nieves, HT-SERCOSA, HT Médica, Jaén, Spain (A.L.)
| | - Eric Williamson
- From the Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESSALTA, HT Médica, Avenida el Brillante, number 36, 14012, Córdoba, Spain (J.B.); Cardiothoracic Imaging Section, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B., F.G.); Department of Radiology, HT-DADISA, HT Médica, Cádiz, Spain (P.C.); Radiology Unit, Hospital Santa Creu i Sant Pau, Barcelona, Spain (A.H.); Department of Radiology, University of Colorado-Anschutz Medical Campus, Aurora, Colo (D.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.W.); and MRI Section, Department of Radiology, Clínica las Nieves, HT-SERCOSA, HT Médica, Jaén, Spain (A.L.)
| | - Fernando Gutiérrez
- From the Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESSALTA, HT Médica, Avenida el Brillante, number 36, 14012, Córdoba, Spain (J.B.); Cardiothoracic Imaging Section, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B., F.G.); Department of Radiology, HT-DADISA, HT Médica, Cádiz, Spain (P.C.); Radiology Unit, Hospital Santa Creu i Sant Pau, Barcelona, Spain (A.H.); Department of Radiology, University of Colorado-Anschutz Medical Campus, Aurora, Colo (D.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.W.); and MRI Section, Department of Radiology, Clínica las Nieves, HT-SERCOSA, HT Médica, Jaén, Spain (A.L.)
| | - Antonio Luna
- From the Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESSALTA, HT Médica, Avenida el Brillante, number 36, 14012, Córdoba, Spain (J.B.); Cardiothoracic Imaging Section, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B., F.G.); Department of Radiology, HT-DADISA, HT Médica, Cádiz, Spain (P.C.); Radiology Unit, Hospital Santa Creu i Sant Pau, Barcelona, Spain (A.H.); Department of Radiology, University of Colorado-Anschutz Medical Campus, Aurora, Colo (D.V.); Department of Radiology, Mayo Clinic, Rochester, Minn (E.W.); and MRI Section, Department of Radiology, Clínica las Nieves, HT-SERCOSA, HT Médica, Jaén, Spain (A.L.)
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13
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Demirkiran A, Everaars H, Amier RP, Beijnink C, Bom MJ, Götte MJW, van Loon RB, Selder JL, van Rossum AC, Nijveldt R. Cardiovascular magnetic resonance techniques for tissue characterization after acute myocardial injury. Eur Heart J Cardiovasc Imaging 2020; 20:723-734. [PMID: 31131401 DOI: 10.1093/ehjci/jez094] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 03/19/2019] [Accepted: 04/26/2019] [Indexed: 12/22/2022] Open
Abstract
The annual incidence of hospital admission for acute myocardial infarction lies between 90 and 312 per 100 000 inhabitants in Europe. Despite advances in patient care 1 year mortality after ST-segment elevation myocardial infarction (STEMI) remains around 10%. Cardiovascular magnetic resonance imaging (CMR) has emerged as a robust imaging modality for assessing patients after acute myocardial injury. In addition to accurate assessment of left ventricular ejection fraction and volumes, CMR offers the unique ability of visualization of myocardial injury through a variety of imaging techniques such as late gadolinium enhancement and T2-weighted imaging. Furthermore, new parametric mapping techniques allow accurate quantification of myocardial injury and are currently being exploited in large trials aiming to augment risk management and treatment of STEMI patients. Of interest, CMR enables the detection of microvascular injury (MVI) which occurs in approximately 40% of STEMI patients and is a major independent predictor of mortality and heart failure. In this article, we review traditional and novel CMR techniques used for myocardial tissue characterization after acute myocardial injury, including the detection and quantification of MVI. Moreover, we discuss clinical scenarios of acute myocardial injury in which the tissue characterization techniques can be applied and we provide proposed imaging protocols tailored to each scenario.
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Affiliation(s)
- Ahmet Demirkiran
- Department of Cardiology, Amsterdam University Medical Center - Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, HV, Amsterdam, the Netherlands
| | - Henk Everaars
- Department of Cardiology, Amsterdam University Medical Center - Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, HV, Amsterdam, the Netherlands
| | - Raquel P Amier
- Department of Cardiology, Amsterdam University Medical Center - Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, HV, Amsterdam, the Netherlands
| | - Casper Beijnink
- Department of Cardiology, Radboudumc, Geert Grooteplein Zuid 10, GA, Nijmegen, the Netherlands
| | - Michiel J Bom
- Department of Cardiology, Amsterdam University Medical Center - Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, HV, Amsterdam, the Netherlands
| | - Marco J W Götte
- Department of Cardiology, Amsterdam University Medical Center - Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, HV, Amsterdam, the Netherlands
| | - Ramon B van Loon
- Department of Cardiology, Amsterdam University Medical Center - Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, HV, Amsterdam, the Netherlands
| | - Jasper L Selder
- Department of Cardiology, Amsterdam University Medical Center - Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, HV, Amsterdam, the Netherlands
| | - Albert C van Rossum
- Department of Cardiology, Amsterdam University Medical Center - Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, HV, Amsterdam, the Netherlands
| | - Robin Nijveldt
- Department of Cardiology, Amsterdam University Medical Center - Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, HV, Amsterdam, the Netherlands.,Department of Cardiology, Radboudumc, Geert Grooteplein Zuid 10, GA, Nijmegen, the Netherlands
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14
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Abstract
Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its implementation will be focused on the automatization tasks, improving diagnostic accuracy and reducing reading time. Many studies investigate the potential role of AI to support cardiac radiologist in their day-to-day tasks, assisting in segmentation, quantification, and reporting tasks. In addition, AI algorithms can be also utilized to optimize image reconstruction and image quality. Since these algorithms will play an important role in the field of cardiac radiology, it is increasingly important for radiologists to be familiar with the potential applications of AI. The main focus of this article is to provide an overview of cardiac-related AI applications for CT and MRI studies, as well as non-imaging-based applications for reporting and image optimization.
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15
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Buffa V, Di Renzi P. CMR in the diagnosis of ischemic heart disease. Radiol Med 2020; 125:1114-1123. [PMID: 32936388 DOI: 10.1007/s11547-020-01278-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 09/03/2020] [Indexed: 12/11/2022]
Abstract
Cardiovascular magnetic resonance has always been more often used in the last 10 years in evaluation of heart disease. Role in diagnosis of ischemia and in evaluation of myocardial infarction is well established by many scientific papers and included in current guidelines. High accuracy in evaluation of stress-induced ischemia, tissue characterization and functional parameters are the pillars the make the method widely used. In this paper are described role and techniques in diagnosis of ischemia, myocardial infarction and its sequelae.
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Affiliation(s)
- Vitaliano Buffa
- Department of Radiology, Azienda Ospedaliera San Camillo Forlanini, Rome, Italy.
| | - Paolo Di Renzi
- Department of Radiology, Ospedale San Giovanni Calibita FBF, Rome, Italy
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16
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Clinical assessment of adenosine stress and rest cardiac magnetic resonance T1 mapping for detecting ischemic and infarcted myocardium. Sci Rep 2020; 10:14727. [PMID: 32895408 PMCID: PMC7477195 DOI: 10.1038/s41598-020-71722-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 07/31/2020] [Indexed: 12/26/2022] Open
Abstract
Cardiac magnetic resonance (CMR) spin-lattice relaxation time (T1) may be influenced by pathologic conditions due to changes in myocardial water content. We aimed to validate the principle and investigate T1 mapping at rest and adenosine stress to differentiate ischemic and infarcted myocardium from controls. Patients with suspected coronary artery disease who underwent CMR were prospectively recruited. Native rest and adenosine stress T1 maps were obtained using standard modified Look-Locker Inversion-Recovery technique. Among 181 patients included, T1 values were measured from three groups. In the control group, 72 patients showed myocardium with a T1 profile of 1,039 ± 75 ms at rest and a significant increase during stress (4.79 ± 3.14%, p < 0.001). While the ischemic (51 patients) and infarcted (58 patients) groups showed elevated resting T1 compared to controls (1,040 ± 90 ms for ischemic; 1,239 ± 121 ms for infarcted, p < 0.001), neither of which presented significant T1 reactivity (1.38 ± 3.02% for ischemic; 1.55 ± 5.25% for infarcted). We concluded that adenosine stress and rest T1 mapping may be useful to differentiate normal, ischemic and infarcted myocardium.
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17
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Zormpas-Petridis K, Poon E, Clarke M, Jerome NP, Boult JKR, Blackledge MD, Carceller F, Koers A, Barone G, Pearson ADJ, Moreno L, Anderson J, Sebire N, McHugh K, Koh DM, Chesler L, Yuan Y, Robinson SP, Jamin Y. Noninvasive MRI Native T 1 Mapping Detects Response to MYCN-targeted Therapies in the Th- MYCN Model of Neuroblastoma. Cancer Res 2020; 80:3424-3435. [PMID: 32595135 DOI: 10.1158/0008-5472.can-20-0133] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 05/02/2020] [Accepted: 06/11/2020] [Indexed: 11/16/2022]
Abstract
Noninvasive early indicators of treatment response are crucial to the successful delivery of precision medicine in children with cancer. Neuroblastoma is a common solid tumor of young children that arises from anomalies in neural crest development. Therapeutic approaches aiming to destabilize MYCN protein, such as small-molecule inhibitors of Aurora A and mTOR, are currently being evaluated in early phase clinical trials in children with high-risk MYCN-driven disease, with limited ability to evaluate conventional pharmacodynamic biomarkers of response. T1 mapping is an MRI scan that measures the proton spin-lattice relaxation time T1. Using a multiparametric MRI-pathologic cross-correlative approach and computational pathology methodologies including a machine learning-based algorithm for the automatic detection and classification of neuroblasts, we show here that T1 mapping is sensitive to the rich histopathologic heterogeneity of neuroblastoma in the Th-MYCN transgenic model. Regions with high native T1 corresponded to regions dense in proliferative undifferentiated neuroblasts, whereas regions characterized by low T1 were rich in apoptotic or differentiating neuroblasts. Reductions in tumor-native T1 represented a sensitive biomarker of response to treatment-induced apoptosis with two MYCN-targeted small-molecule inhibitors, Aurora A kinase inhibitor alisertib (MLN8237) and mTOR inhibitor vistusertib (AZD2014). Overall, we demonstrate the potential of T1 mapping, a scan readily available on most clinical MRI scanners, to assess response to therapy and guide clinical trials for children with neuroblastoma. The study reinforces the potential role of MRI-based functional imaging in delivering precision medicine to children with neuroblastoma. SIGNIFICANCE: This study shows that MRI-based functional imaging can detect apoptotic responses to MYCN-targeted small-molecule inhibitors in a genetically engineered murine model of MYCN-driven neuroblastoma.
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Affiliation(s)
- Konstantinos Zormpas-Petridis
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Evon Poon
- Division of Clinical Studies, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Matthew Clarke
- Division of Molecular Pathology, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Neil P Jerome
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Clinic of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim, Norway
| | - Jessica K R Boult
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Matthew D Blackledge
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Fernando Carceller
- Division of Clinical Studies, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
- Children & Young People's Unit, The Royal Marsden NHS Foundation Trust, Sutton, Surrey, United Kingdom
| | - Alexander Koers
- Division of Clinical Studies, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Giuseppe Barone
- Department of Pediatric Oncology, Great Ormond Street Hospital for Children, London, United Kingdom
| | - Andrew D J Pearson
- Division of Clinical Studies, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Lucas Moreno
- Pediatric Hematology & Oncology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - John Anderson
- Department of Pediatric Oncology, Great Ormond Street Hospital for Children, London, United Kingdom
- Institute of Child Health, University College London, London, United Kingdom
| | - Neil Sebire
- Institute of Child Health, University College London, London, United Kingdom
- Department of Pathology, Great Ormond Street Hospital for Children, London, United Kingdom
| | - Kieran McHugh
- Department of Radiology, Great Ormond Street Hospital for Children, London, United Kingdom
| | - Dow-Mu Koh
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Louis Chesler
- Division of Clinical Studies, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Yinyin Yuan
- Division of Molecular Pathology, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Simon P Robinson
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Yann Jamin
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom.
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18
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Baggiano A, Boldrini M, Martinez-Naharro A, Kotecha T, Petrie A, Rezk T, Gritti M, Quarta C, Knight DS, Wechalekar AD, Lachmann HJ, Perlini S, Pontone G, Moon JC, Kellman P, Gillmore JD, Hawkins PN, Fontana M. Noncontrast Magnetic Resonance for the Diagnosis of Cardiac Amyloidosis. JACC Cardiovasc Imaging 2020; 13:69-80. [DOI: 10.1016/j.jcmg.2019.03.026] [Citation(s) in RCA: 82] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 03/16/2019] [Indexed: 11/16/2022]
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19
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van Assen M, van Dijk R, Kuijpers D, Vliegenthart R, Oudkerk M. T1 reactivity as an imaging biomarker in myocardial tissue characterization discriminating normal, ischemic and infarcted myocardium. Int J Cardiovasc Imaging 2019; 35:1319-1325. [PMID: 31093894 PMCID: PMC6598951 DOI: 10.1007/s10554-019-01554-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 02/04/2019] [Indexed: 01/02/2023]
Abstract
To demonstrate the potential for differentiating normal and diseased myocardium without Gadolinium using rest and stress T1-mapping. Patients undergoing 1.5T magnetic resonance imaging (MRI) as part of clinical work-up due to suspicion of coronary artery disease (CAD) were included. Adenosine stress perfusion MRI and late gadolinium enhancement (LGE) imaging were performed to identify ischemic and infarcted myocardium. Patients were retrospectively categorized into an ischemic, infarct and control group based on conventional acquisitions. Patient with both ischemic and infarcted myocardium were excluded. A total of 64 patients were included: ten with myocardial ischemia, 15 with myocardial infarction, and 39 controls. A native Modified Look-Locker Inversion Recovery (MOLLI) T1-mapping acquisition was performed at rest and stress. Pixel-wise myocardial T1-maps were acquired in short-axis view with inline motion-correction. Short-axis T1-maps were manually contoured using conservative septal sampling. Regions of interest were sampled in ischemic and infarcted areas detected on perfusion and LGE images. T1 reactivity was calculated as the percentage difference in T1 values between rest and stress. Remote myocardium was defined as myocardium without defects in the ischemic and infarcted group whereas normal myocardium is found in the control group only. Native T1-values were significantly higher in infarcted myocardium in rest and stress [median 1044 ms (interquartile range (IQR) 985–1076) and 1053 ms (IQR 989–1088)] compared to ischemic myocardium [median 961 ms (IQR 939–988) and 958 ms (IQR 945–988)]. T1-reactivity was significantly lower in ischemic and infarcted myocardium [median 0.00% (IQR − 0.18 to 0.16) and 0.41% (IQR 0.09–0.86)] compared to remote myocardium [median 3.54% (IQR 1.48–5.78) and 3.21% (IQR 1.95–4.79)]. Rest-stress T1-mapping is able to distinguish between normal, ischemic, infarcted and remote myocardium using native T1-values and T1-reactivity, and holds potential as an imaging biomarker for tissue characterization in MRI.
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Affiliation(s)
- Marly van Assen
- Center for Medical Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, EB 45, Groningen, The Netherlands.,Faculty of Medical Sciences, University of Groningen, Groningen, The Netherlands
| | - Randy van Dijk
- Center for Medical Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, EB 45, Groningen, The Netherlands
| | - Dirkjan Kuijpers
- Department of Cardiovascular Imaging, HMC-Bronovo, The Hague, The Netherlands
| | - Rozemarijn Vliegenthart
- Center for Medical Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, EB 45, Groningen, The Netherlands
| | - Matthijs Oudkerk
- Faculty of Medical Sciences, University of Groningen, Groningen, The Netherlands. .,Institute for Diagnostic Accuracy, Groningen, The Netherlands.
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20
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Adopting T1 Native Mapping On 1.5T Philips Achieva System In A Tertiary MRI Centre – Importance Of Local Validation. Heart Lung Circ 2019. [DOI: 10.1016/j.hlc.2019.05.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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21
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Reiter U, Reiter C, Kräuter C, Fuchsjäger M, Reiter G. Cardiac magnetic resonance T1 mapping. Part 2: Diagnostic potential and applications. Eur J Radiol 2018; 109:235-247. [PMID: 30539759 DOI: 10.1016/j.ejrad.2018.10.013] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 10/07/2018] [Accepted: 10/15/2018] [Indexed: 02/07/2023]
Abstract
Non-invasive identification and differentiation of myocardial diseases represents the primary objectives of cardiac magnetic resonance (CMR) longitudinal relaxation time (T1) and extracellular volume (ECV) mapping. Given the fact that myocardial T1 and ECV values overlap throughout and within left ventricular phenotypes, a central issue to be addressed is whether and to what extent myocardial T1 and ECV mapping provides additional or superior diagnostic information to standard CMR imaging, and whether native T1 mapping could be employed as a non-contrast alternative to late gadolinium enhancement (LE) imaging. The present review aims to summarize physiological and pathophysiological alterations in native T1 and ECV values and summarized myocardial T1 and ECV alterations associated with cardiac diseases to support the translation of research findings into routine CMR imaging.
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Affiliation(s)
- Ursula Reiter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 19/P, 8036 Graz, Austria.
| | - Clemens Reiter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 19/P, 8036 Graz, Austria.
| | - Corina Kräuter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 19/P, 8036 Graz, Austria; Institute of Medical Engineering, Graz University of Technology, Stremayrgasse 16/III, 8010 Graz, Austria.
| | - Michael Fuchsjäger
- Division of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 19/P, 8036 Graz, Austria.
| | - Gert Reiter
- Division of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 19/P, 8036 Graz, Austria; Research & Development, Siemens Healthcare Diagnostics GmbH, Strassgangerstrasse 315, 8054 Graz, Austria.
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T1 and T2 mapping in the identification of acute myocardial injury in patients with NSTEMI. Radiol Med 2018; 123:926-934. [PMID: 30132183 DOI: 10.1007/s11547-018-0931-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Accepted: 08/07/2018] [Indexed: 12/18/2022]
Abstract
AIMS To test T1 and T2 mapping in the assessment of acute myocardial injury in patients with non-ST-segment elevation myocardial infarction (NSTEMI), evaluated before revascularization. METHODS Forty-seven patients with acute NSTEMI underwent cardiac magnetic resonance (CMR) at 1.5 T, including T1 and T2 mapping. RESULTS Coronary angiography (CA) evidenced an obstructive coronary artery disease (CAD) in 36 patients (80%) and a non-obstructive CAD in 11 patients (20%). Edema was detected in 51.1/65.9% of patients in T1/T2 maps, respectively. This difference was due to artifacts in T1 maps. T1/T2 values were significantly higher in the infarcted myocardium (IM) compared with the remote myocardium (RM) (in T1: 1151.6 ± 53.5 ms vs. 958.2 ± 38.6 ms, respectively; in T2: 69 ± 6 ms vs. 51.9 ± 2.9 ms, respectively; p < 0.0001 for both). We found both an obstructive CAD at CA and myocardial edema at CMR in 53.2% of patients, while 8.5% of patients had a non-obstructive CAD and no edema. However, 25.5% of patients had an obstructive CAD without edema, while 12.8% of patients showed edema despite a non-obstructive CAD. Furthermore, in 6 of the edema-positive patients with multi-vessels obstructive CAD, CMR identified myocardial edema in a vascular territory different from that of the lesion supposed to be the culprit at CA. CONCLUSIONS In a non-negligible percentage of NSTEMI patients, T1 and T2 mapping detect myocardial edema without significant stenosis at CA and vice versa. Therefore, CA and CMR edema imaging might provide complementary information in the evaluation of NSTEMI.
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Garg P, Saunders LC, Swift AJ, Wild JM, Plein S. Role of cardiac T1 mapping and extracellular volume in the assessment of myocardial infarction. Anatol J Cardiol 2018; 19:404-411. [PMID: 29638222 PMCID: PMC5998858 DOI: 10.14744/anatoljcardiol.2018.39586] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Although late gadolinium enhancement on cardiac magnetic resonance imaging remains the reference standard for scar assessment, it does not provide quantitative information about the extent of pathophysiological changes within the scar tissue. T1 mapping and extracellular volume (ECV) mapping are steadily becoming diagnostic and prognostically useful tests for in vivo myocardial histology, influencing clinical decision-making. Quantitative native T1 maps (acquired without a contrast agent) represent the longitudinal relaxation time within the myocardium and changes with myocardial extracellular water (edema, focal, or diffuse fibrosis), fat, iron, and amyloid protein content. Post-contrast ECV maps estimate the size of the extracellular space and have sensitivity in the identification of interstitial disease. Both pre- and post-contrast T1 mapping are emerging as comprehensive tools for the assessment of numerous conditions including ischemic scarring that occurs post myocardial infarction (MI). This review outlines the current evidence and potential future role of T1 mapping in MI. We conclude by highlighting some of the remaining challenges such as quality control, standardization of image acquisition for clinical practice, and automated methods for quantifying infarct size, area at risk, and myocardial salvage post MI.
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Affiliation(s)
- Pankaj Garg
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield; Sheffield-United Kingdom.
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Detection of Recent Myocardial Infarction Using Native T1 Mapping in a Swine Model: A Validation Study. Sci Rep 2018; 8:7391. [PMID: 29743511 PMCID: PMC5943450 DOI: 10.1038/s41598-018-25693-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Accepted: 04/24/2018] [Indexed: 11/22/2022] Open
Abstract
Late gadolinium enhancement (LGE) imaging is the currently the gold standard for in-vivo detection of myocardial infarction. However, gadolinium contrast administration is contraindicated in patients with renal insufficiency. We aim to evaluate the diagnostic sensitivity and specificity of this contrast-free MRI technique, native T1 mapping, in detecting recent myocardial infarction versus a reference histological gold standard. Ten pigs underwent CMR at 2 weeks after induced MI. The infarct size and transmural extent of MI was calculated using native T1 maps and LGE images. Histological validation was performed using triphenyl tetrazolium chloride (TTC) staining in the corresponding ex-vivo slices. The infarct size and transmural extent of myocardial infarction assessed by T1 mapping correlated well with that assessed by LGE and TTC images. Using TTC staining as the reference, T1 mapping demonstrated underestimation of infarct size and transmural extent of infarction. Additionally, there was a slight but not significant difference found in the diagnostic performance between the native T1 maps and LGE images for the location of MI. Our study shows that native T1 mapping is feasible alternative method to the LGE technique for the assessment of the size, transmural extent, and location of MI in patients who cannot receive gadolinium contrast.
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Tessa C, Casolo G, Meglio JD, Diciotti S, Vignali C, Giannelli M. Can T1 Mapping Be Used to Differentiate between Acute and Chronic Myocardial Infarctions? Radiology 2018; 287:726-727. [PMID: 29668414 DOI: 10.1148/radiol.2018172733] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | - Giancarlo Casolo
- Cardiology, † Versilia Hospital, Azienda USL Toscana Nord-Ovest, Via Aurelia 335, 55041 Lido di Camaiore (LU), Italy
| | - Jacopo Del Meglio
- Cardiology, † Versilia Hospital, Azienda USL Toscana Nord-Ovest, Via Aurelia 335, 55041 Lido di Camaiore (LU), Italy
| | - Stefano Diciotti
- Guglielmo Marconi Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Cesena, Italy ‡
| | | | - Marco Giannelli
- Unit of Medical Physics, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy §
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Molecular imaging of myocardial infarction with Gadofluorine P - A combined magnetic resonance and mass spectrometry imaging approach. Heliyon 2018; 4:e00606. [PMID: 29862367 PMCID: PMC5968177 DOI: 10.1016/j.heliyon.2018.e00606] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Revised: 03/09/2018] [Accepted: 04/11/2018] [Indexed: 01/26/2023] Open
Abstract
Background Molecular MRI is becoming increasingly important for preclinical research. Validation of targeted gadolinium probes in tissue however has been cumbersome up to now. Novel methodology to assess gadolinium distribution in tissue after in vivo application is therefore needed. Purpose To establish combined Magnetic Resonance Imaging (MRI) and Mass Spectrometry Imaging (MSI) for improved detection and quantification of Gadofluorine P deposition in scar formation and myocardial remodeling. Materials and methods Animal studies were performed according to institutionally approved protocols. Myocardial infarction was induced by permanent ligation of the left ascending artery (LAD) in C57BL/6J mice. MRI was performed at 7T at 1 week and 6 weeks after myocardial infarction. Gadofluorine P was used for dynamic T1 mapping of extracellular matrix synthesis during myocardial healing and compared to Gd-DTPA. After in vivo imaging contrast agent concentration as well as distribution in tissue were validated and quantified by spatially resolved Matrix-Assisted Laser Desorption Ionization (MALDI) MSI and Laser Ablation – Inductively Coupled Plasma – Mass Spectrometry (LA-ICP-MS) imaging. Results Both Gadofluorine P enhancement as well as local tissue content in the myocardial scar were highest at 15 minutes post injection. R1 values increased from 1 to 6 weeks after MI (1.62 s−1 vs 2.68 s−1, p = 0.059) paralleled by an increase in Gadofluorine P concentration in the infarct from 0.019 mM at 1 week to 0.028 mM at 6 weeks (p = 0.048), whereas Gd-DTPA enhancement showed no differences (3.95 s−1 vs 3.47 s−1, p = 0.701). MALDI-MSI results were corroborated by elemental LA-ICP-MS of Gadolinium in healthy and infarcted myocardium. Histology confirmed increased extracellular matrix synthesis at 6 weeks compared to 1 week. Conclusion Adding quantitative MSI to MR imaging enables a quantitative validation of Gadofluorine P distribution in the heart after MI for molecular imaging.
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Towards accurate and precise T 1 and extracellular volume mapping in the myocardium: a guide to current pitfalls and their solutions. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2017; 31:143-163. [PMID: 28608328 PMCID: PMC5813078 DOI: 10.1007/s10334-017-0631-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 05/05/2017] [Accepted: 05/24/2017] [Indexed: 01/27/2023]
Abstract
Mapping of the longitudinal relaxation time (T1) and extracellular volume (ECV) offers a means of identifying pathological changes in myocardial tissue, including diffuse changes that may be invisible to existing T1-weighted methods. This technique has recently shown strong clinical utility for pathologies such as Anderson-Fabry disease and amyloidosis and has generated clinical interest as a possible means of detecting small changes in diffuse fibrosis; however, scatter in T1 and ECV estimates offers challenges for detecting these changes, and bias limits comparisons between sites and vendors. There are several technical and physiological pitfalls that influence the accuracy (bias) and precision (repeatability) of T1 and ECV mapping methods. The goal of this review is to describe the most significant of these, and detail current solutions, in order to aid scientists and clinicians to maximise the utility of T1 mapping in their clinical or research setting. A detailed summary of technical and physiological factors, issues relating to contrast agents, and specific disease-related issues is provided, along with some considerations on the future directions of the field.
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von Knobelsdorff-Brenkenhoff F, Schüler J, Dogangüzel S, Dieringer MA, Rudolph A, Greiser A, Kellman P, Schulz-Menger J. Detection and Monitoring of Acute Myocarditis Applying Quantitative Cardiovascular Magnetic Resonance. Circ Cardiovasc Imaging 2017; 10:CIRCIMAGING.116.005242. [PMID: 28213448 DOI: 10.1161/circimaging.116.005242] [Citation(s) in RCA: 80] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2016] [Accepted: 12/15/2016] [Indexed: 12/30/2022]
Abstract
BACKGROUND Cardiovascular magnetic resonance based on the Lake Louise Criteria is used to make the diagnosis of acute myocarditis. Novel quantitative parametric mapping techniques promise to overcome some of its limitations. We aimed to evaluate quantitative cardiovascular magnetic resonance to detect and monitor acute myocarditis. METHODS AND RESULTS Eighteen patients with clinical diagnosis of acute myocarditis (25 years [23-38 years]; 78% males) were prospectively enrolled and repeatedly underwent cardiovascular magnetic resonance at 1.5 T seven days (5-10 days) after symptom onset (FU0), after 5 weeks (FU1), and after 6 months (FU2). Eighteen age- and sex-matched healthy subjects served as controls. Cardiovascular magnetic resonance included imaging of edema, hyperemia, necrosis, and fibrosis using semiquantitative T2-weighted spin echo, T2 mapping, and T1 mapping before and 3 and 10 minutes after gadobutrol administration. Extracellular volume for diffuse and late gadolinium enhancement for focal fibrosis were assessed. Compared with controls, patients had significantly higher global T2 times at FU0 (55.1 ms [53.3-57.2 ms] versus 50.2 ms [49.2-52.0 ms]; P<0.001) and at FU1 (52.0 ms [52.0-53.2 ms]; P=0.007), which normalized at FU2 (50.9 ms [49.6-53.3 ms]; P=0.323). Global native T1 times in patients were elevated acutely (1004 ms [988-1048 ms] versus 975 ms [957-1004 ms]; P=0.002) and remained elevated throughout the follow-up (FU1: 998 ms [990-1027 ms]; P=0.014; FU2: 1000 ms [972-1027 ms]; P=0.044). Global extracellular volume fraction was statistically not different between patients and controls (P=0.057). 77.8% (14/18) of patients had focal late gadolinium enhancement. T2 ratio was significantly elevated in patients with myocarditis at FU0 (2.2 [2.0-2.3] versus 1.6 [1.5-1.7]; P<0.001). The difference decreased during follow-up (FU1: 1.9 [1.7-1.9]; P=0.001 and FU2: 1.7 [1.7-1.8]; P=0.053). The diagnostic accuracy to discriminate between patients with acute myocarditis and healthy controls was 86% for T2>52 ms, 78% for native T1>981 ms, 74% for extracellular volume fraction >0.24, and 100% for T2 ratio >1.9. CONCLUSIONS Although both T2 and T1 mapping reliably detected acute myocarditis, only T2 mapping discriminated between acute and healed stages, underlining the incremental value of T2 mapping.
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Affiliation(s)
- Florian von Knobelsdorff-Brenkenhoff
- From the Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine; and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Germany (F.v.K.-B., J.S., S.D., A.R., J.S.-M.); Clinic Agatharied, Department of Cardiology, Ludwig-Maximilians-University Munich, Hausham, Germany (F.v.K.-B.); Siemens Healthcare, Erlangen, Germany (M.A.D., A.G.); National Institute of Health, Bethesda, MD (P.K.); and German Center for Cardiovascular Research (DZHK), partner site Berlin, Germany (J.S.-M.)
| | - Johannes Schüler
- From the Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine; and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Germany (F.v.K.-B., J.S., S.D., A.R., J.S.-M.); Clinic Agatharied, Department of Cardiology, Ludwig-Maximilians-University Munich, Hausham, Germany (F.v.K.-B.); Siemens Healthcare, Erlangen, Germany (M.A.D., A.G.); National Institute of Health, Bethesda, MD (P.K.); and German Center for Cardiovascular Research (DZHK), partner site Berlin, Germany (J.S.-M.)
| | - Serkan Dogangüzel
- From the Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine; and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Germany (F.v.K.-B., J.S., S.D., A.R., J.S.-M.); Clinic Agatharied, Department of Cardiology, Ludwig-Maximilians-University Munich, Hausham, Germany (F.v.K.-B.); Siemens Healthcare, Erlangen, Germany (M.A.D., A.G.); National Institute of Health, Bethesda, MD (P.K.); and German Center for Cardiovascular Research (DZHK), partner site Berlin, Germany (J.S.-M.)
| | - Matthias A Dieringer
- From the Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine; and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Germany (F.v.K.-B., J.S., S.D., A.R., J.S.-M.); Clinic Agatharied, Department of Cardiology, Ludwig-Maximilians-University Munich, Hausham, Germany (F.v.K.-B.); Siemens Healthcare, Erlangen, Germany (M.A.D., A.G.); National Institute of Health, Bethesda, MD (P.K.); and German Center for Cardiovascular Research (DZHK), partner site Berlin, Germany (J.S.-M.)
| | - Andre Rudolph
- From the Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine; and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Germany (F.v.K.-B., J.S., S.D., A.R., J.S.-M.); Clinic Agatharied, Department of Cardiology, Ludwig-Maximilians-University Munich, Hausham, Germany (F.v.K.-B.); Siemens Healthcare, Erlangen, Germany (M.A.D., A.G.); National Institute of Health, Bethesda, MD (P.K.); and German Center for Cardiovascular Research (DZHK), partner site Berlin, Germany (J.S.-M.)
| | - Andreas Greiser
- From the Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine; and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Germany (F.v.K.-B., J.S., S.D., A.R., J.S.-M.); Clinic Agatharied, Department of Cardiology, Ludwig-Maximilians-University Munich, Hausham, Germany (F.v.K.-B.); Siemens Healthcare, Erlangen, Germany (M.A.D., A.G.); National Institute of Health, Bethesda, MD (P.K.); and German Center for Cardiovascular Research (DZHK), partner site Berlin, Germany (J.S.-M.)
| | - Peter Kellman
- From the Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine; and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Germany (F.v.K.-B., J.S., S.D., A.R., J.S.-M.); Clinic Agatharied, Department of Cardiology, Ludwig-Maximilians-University Munich, Hausham, Germany (F.v.K.-B.); Siemens Healthcare, Erlangen, Germany (M.A.D., A.G.); National Institute of Health, Bethesda, MD (P.K.); and German Center for Cardiovascular Research (DZHK), partner site Berlin, Germany (J.S.-M.)
| | - Jeanette Schulz-Menger
- From the Working Group Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine; and HELIOS Klinikum Berlin Buch, Department of Cardiology and Nephrology, Germany (F.v.K.-B., J.S., S.D., A.R., J.S.-M.); Clinic Agatharied, Department of Cardiology, Ludwig-Maximilians-University Munich, Hausham, Germany (F.v.K.-B.); Siemens Healthcare, Erlangen, Germany (M.A.D., A.G.); National Institute of Health, Bethesda, MD (P.K.); and German Center for Cardiovascular Research (DZHK), partner site Berlin, Germany (J.S.-M.).
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Khan JN, McCann GP. Cardiovascular magnetic resonance imaging assessment of outcomes in acute myocardial infarction. World J Cardiol 2017; 9:109-133. [PMID: 28289525 PMCID: PMC5329738 DOI: 10.4330/wjc.v9.i2.109] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2016] [Revised: 12/02/2016] [Accepted: 01/02/2017] [Indexed: 02/06/2023] Open
Abstract
Cardiovascular magnetic resonance (CMR) imaging uniquely characterizes myocardial and microvascular injury in acute myocardial infarction (AMI), providing powerful surrogate markers of outcomes. The last 10 years have seen an exponential increase in AMI studies utilizing CMR based endpoints. This article provides a contemporary, comprehensive review of the powerful role of CMR imaging in the assessment of outcomes in AMI. The theory, assessment techniques, chronology, importance in predicting left ventricular function and remodelling, and prognostic value of each CMR surrogate marker is described in detail. Major studies illustrating the importance of the markers are summarized, providing an up to date review of the literature base in CMR imaging in AMI.
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Affiliation(s)
- Jamal N Khan
- Jamal N Khan, Gerry P McCann, Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Cardiovascular Biomedical Research Unit, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Leicester LE3 9QP, United Kingdom
| | - Gerry P McCann
- Jamal N Khan, Gerry P McCann, Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Cardiovascular Biomedical Research Unit, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Leicester LE3 9QP, United Kingdom
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Haaf P, Garg P, Messroghli DR, Broadbent DA, Greenwood JP, Plein S. Cardiac T1 Mapping and Extracellular Volume (ECV) in clinical practice: a comprehensive review. J Cardiovasc Magn Reson 2016; 18:89. [PMID: 27899132 PMCID: PMC5129251 DOI: 10.1186/s12968-016-0308-4] [Citation(s) in RCA: 520] [Impact Index Per Article: 65.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2016] [Accepted: 11/15/2016] [Indexed: 12/22/2022] Open
Abstract
Cardiovascular Magnetic Resonance is increasingly used to differentiate the aetiology of cardiomyopathies. Late Gadolinium Enhancement (LGE) is the reference standard for non-invasive imaging of myocardial scar and focal fibrosis and is valuable in the differential diagnosis of ischaemic versus non-ischaemic cardiomyopathy. Diffuse fibrosis may go undetected on LGE imaging. Tissue characterisation with parametric mapping methods has the potential to detect and quantify both focal and diffuse alterations in myocardial structure not assessable by LGE. Native and post-contrast T1 mapping in particular has shown promise as a novel biomarker to support diagnostic, therapeutic and prognostic decision making in ischaemic and non-ischaemic cardiomyopathies as well as in patients with acute chest pain syndromes. Furthermore, changes in the myocardium over time may be assessed longitudinally with this non-invasive tissue characterisation method.
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Affiliation(s)
- Philip Haaf
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
- Department of Cardiology and Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, Petersgraben 4, 4054 Basel, Switzerland
| | - Pankaj Garg
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Daniel R. Messroghli
- Department of Internal Medicine – Cardiology, German Heart Institute Berlin, Berlin, Germany
| | - David A. Broadbent
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - John P. Greenwood
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
| | - Sven Plein
- Division of Biomedical Imaging, Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, LS2 9JT UK
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Superiority of the extracellular volume fraction over the myocardial T1 value for the assessment of myocardial fibrosis in patients with non-ischemic cardiomyopathy. Magn Reson Imaging 2016; 34:1141-5. [PMID: 27215951 DOI: 10.1016/j.mri.2016.05.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2016] [Accepted: 05/16/2016] [Indexed: 11/21/2022]
Abstract
PURPOSE This study aimed to assess the efficacies of the myocardial T1 value and the extracellular volume fraction (ECV) for determining the severity of myocardial fibrosis in patients with non-ischemic cardiomyopathy. MATERIALS AND METHODS Myocardial fibrosis is considered the most important indicator of cardiac damage associated with non-ischemic cardiomyopathy. Recently, modified Look-Locker inversion recovery imaging (MOLLI) has been used for T1 mapping and measurement of the ECV for the assessment of myocardial fibrosis. The present study included 22 patients (mean age, 61.5±12.7; 21 male) with non-ischemic heart failure. Motion corrected myocardial T1 mapping was automatically performed using a MOLLI sequence, and the ECV was estimated from the pre- and post-contrast blood and myocardial T1 values corrected for the hematocrit level. All endomyocardial biopsy specimens were obtained from the inferoposterior left ventricular wall. The percentage of myocardial fibrosis (%F) was determined after Elastica Masson-Goldner staining as follows: (fibrosis area/[fibrosis area+myocardial area])×100. RESULTS No correlation was noted between the %F and the pre- (r=0.290, p=0.191) or post-contrast T1 values (r=-0.190, p=0.398); however, a significant correlation was noted between the %F and ECV (r=0.750, p<0.001). CONCLUSIONS In this study, the ECV reflected the extent of myocardial fibrosis, but the pre- and post-contrast T1 values did not. The ECV may be used to estimate the severity of myocardial fibrosis in patients with non-ischemic cardiomyopathy.
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Cannaò PM, Altabella L, Petrini M, Alì M, Secchi F, Sardanelli F. Novel cardiac magnetic resonance biomarkers: native T1 and extracellular volume myocardial mapping. Eur Heart J Suppl 2016; 18:E64-E71. [DOI: 10.1093/eurheartj/suw022] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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Mangion K, Corcoran D, Carrick D, Berry C. New perspectives on the role of cardiac magnetic resonance imaging to evaluate myocardial salvage and myocardial hemorrhage after acute reperfused ST-elevation myocardial infarction. Expert Rev Cardiovasc Ther 2016; 14:843-54. [PMID: 27043975 DOI: 10.1586/14779072.2016.1173544] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Cardiac magnetic resonance (CMR) imaging enables the assessment of left ventricular function and pathology. In addition to established contrast-enhanced methods for the assessment of infarct size and microvascular obstruction, other infarct pathologies, such as myocardial edema and myocardial hemorrhage, can be identified using innovative CMR techniques. The initial extent of myocardial edema revealed by T2-weighted CMR has to be stable for edema to be taken as a retrospective marker of the area-at-risk, which is used to calculate myocardial salvage. The timing of edema assessment is important and should be focused within 2 - 7 days post-reperfusion. Some recent investigations have called into question the diagnostic validity of edema imaging after acute STEMI. Considering the results of these studies, as well as results from our own laboratory, we conclude that the time-course of edema post-STEMI is unimodal, not bimodal. Myocardial hemorrhage is the final consequence of severe vascular injury and a progressive and prognostically important complication early post-MI. Myocardial hemorrhage is a therapeutic target to limit reperfusion injury and infarct size post-STEMI.
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Affiliation(s)
- Kenneth Mangion
- a BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences , University of Glasgow , Glasgow , UK.,b West of Scotland Regional Heart & Lung Centre , Golden Jubilee National Hospital , Clydebank , UK
| | - David Corcoran
- a BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences , University of Glasgow , Glasgow , UK.,b West of Scotland Regional Heart & Lung Centre , Golden Jubilee National Hospital , Clydebank , UK
| | - David Carrick
- a BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences , University of Glasgow , Glasgow , UK.,b West of Scotland Regional Heart & Lung Centre , Golden Jubilee National Hospital , Clydebank , UK
| | - Colin Berry
- a BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences , University of Glasgow , Glasgow , UK.,b West of Scotland Regional Heart & Lung Centre , Golden Jubilee National Hospital , Clydebank , UK
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Baxa J, Ferda J, Hromádka M. T1 mapping of the ischemic myocardium: Review of potential clinical use. Eur J Radiol 2016; 85:1922-1928. [PMID: 27105590 DOI: 10.1016/j.ejrad.2016.04.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Revised: 03/26/2016] [Accepted: 04/13/2016] [Indexed: 12/25/2022]
Abstract
Cardiac magnetic resonance imaging (CMR) is an indispensable part of the diagnostic algorithm in cardiology. CMR has become a gold standard in various disorders; moreover, it is well established also as a surrogate end-point in experimental and clinical studies. Particularly, the ability to directly display myocardial injury is a unique feature in comparison with other methods. The mapping of magnetic relaxation properties (T1, T2 and T2* relaxation times) are still relatively new techniques, but promising to improve the robustness of CMR and add new appropriate indications. The high potential of T1 mapping in the diagnostic of myocardial ischemic involvement has been highlighted in several experimental and clinical studies, but the use in clinical routine was limited due to the shortcomings in scanning and image evaluation. However, the quantitative technique of T1 mapping is now commercially available and its simple use, good reproducibility and limited subjectivity allow its incorporation into routine CMR protocols. This review article is aimed to summarise existing results and clinical experience with T1 mapping in patients with ischemic cardiac disease.
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Affiliation(s)
- Jan Baxa
- Department of Imaging Methods, Faculty of Medicine in Pilsen, Charles University in Prague and University Hospital Pilsen, Czech Republic.
| | - Jiří Ferda
- Department of Imaging Methods, Faculty of Medicine in Pilsen, Charles University in Prague and University Hospital Pilsen, Czech Republic
| | - Milan Hromádka
- Department of Cardiology, University Hospital Pilsen, Czech Republic
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Abstract
Noninvasive cardiac imaging has an important role in the assessment of patients with acute-onset chest pain. In patients with suspected acute coronary syndrome (ACS), cardiac imaging offers incremental value over routine clinical assessment, the electrocardiogram, and blood biomarkers of myocardial injury, to confirm or refute the diagnosis of coronary artery disease and to assess future cardiovascular risk. This Review covers the current guidelines and clinical use of the common noninvasive imaging techniques, including echocardiography and stress echocardiography, computed tomography coronary angiography, myocardial perfusion scintigraphy, positron emission tomography, and cardiovascular magnetic resonance imaging, in patients with suspected ACS, and provides an update on the developments in noninvasive imaging techniques in the past 5 years.
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Bainey KR, Patel MR, Armstrong PW. Evaluation of Cardiac Magnetic Resonance as a Surrogate in ST-Segment Elevation Myocardial Infarction. Am J Cardiol 2015; 115:1607-14. [PMID: 25890632 DOI: 10.1016/j.amjcard.2015.02.065] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2014] [Revised: 02/26/2015] [Accepted: 02/26/2015] [Indexed: 11/19/2022]
Abstract
Cardiac magnetic resonance imaging is an attractive noninvasive metric and has genuine potential to constitute a reliable surrogate end point in ST-elevation myocardial infarction. However, these measures must be demonstrated as a valid proxy to predict clinical outcome. In conclusion, the current review evaluates the utility of cardiac magnetic resonance as a surrogate measurement of myocardial infarct size, left ventricular function, microvascular obstruction, and myocardial salvage in ST-elevation myocardial infarction exploring the temporal relations specific to each assessment.
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Affiliation(s)
- Kevin R Bainey
- Canadian VIGOUR Centre, Mazankowski Alberta Heart Institute, University of Alberta, Edmonton, Alberta, Canada.
| | - Manesh R Patel
- Duke Clinical Research Institute, Duke University, Durham, North Carolina
| | - Paul W Armstrong
- Canadian VIGOUR Centre, Mazankowski Alberta Heart Institute, University of Alberta, Edmonton, Alberta, Canada
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37
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Postmortem MR quantification of the heart for characterization and differentiation of ischaemic myocardial lesions. Eur Radiol 2015; 25:2067-73. [DOI: 10.1007/s00330-014-3582-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2014] [Revised: 10/01/2014] [Accepted: 12/19/2014] [Indexed: 10/24/2022]
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38
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Friedrich MG. Myocardial T1: The Rise of a Novel Biomarker Continues. JACC Cardiovasc Imaging 2015; 8:47-49. [DOI: 10.1016/j.jcmg.2014.10.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2014] [Revised: 09/29/2014] [Accepted: 10/09/2014] [Indexed: 01/21/2023]
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Germain P, El Ghannudi S, Jeung MY, Ohlmann P, Epailly E, Roy C, Gangi A. Native T1 mapping of the heart - a pictorial review. CLINICAL MEDICINE INSIGHTS-CARDIOLOGY 2014; 8:1-11. [PMID: 25525401 PMCID: PMC4251189 DOI: 10.4137/cmc.s19005] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2014] [Revised: 10/06/2014] [Accepted: 10/07/2014] [Indexed: 01/25/2023]
Abstract
T1 mapping is now a clinically feasible method, providing pixel-wise quantification of the cardiac structure’s T1 values. Beyond focal lesions, well depicted by late gadolinium enhancement sequences, it has become possible to discriminate diffuse myocardial alterations, previously not assessable by noninvasive means. The strength of this method includes the high reproducibility and immediate clinical applicability, even without the use of contrast media injection (native or pre-contrast T1). The two most important determinants of native T1 augmentation are (1) edema related to tissue water increase (recent infarction or inflammation) and (2) interstitial space increase related to fibrosis (infarction scar, cardiomyopathy) or to amyloidosis. Conversely, lipid (Anderson–Fabry) or iron overload diseases are responsible for T1 reduction. In this pictorial review, the main features provided by native T1 mapping are discussed and illustrated, with a special focus on the awaited clinical purpose of this unique, promising new method.
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Affiliation(s)
- Philippe Germain
- Department of Radiology, University Hospital, Strasbourg, France. ; Department of Cardiology, University Hospital, Strasbourg, France
| | | | - Mi-Young Jeung
- Department of Radiology, University Hospital, Strasbourg, France
| | - Patrick Ohlmann
- Department of Cardiology, University Hospital, Strasbourg, France
| | - Eric Epailly
- Department of Cardiac Surgery, University Hospital, Strasbourg, France
| | - Catherine Roy
- Department of Radiology, University Hospital, Strasbourg, France
| | - Afshin Gangi
- Department of Radiology, University Hospital, Strasbourg, France
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40
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Affiliation(s)
- Toby Rogers
- Department of Cardiovascular Imaging, King's College London, London, UK
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