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Sadighi M, Kara D, Mai D, Nguyen K, Chen S, Kwon D, Nguyen C. Cardiac DTI using short-axis PROPELLER: A feasibility study. Magn Reson Med 2024; 91:2546-2558. [PMID: 38376096 PMCID: PMC11102807 DOI: 10.1002/mrm.30020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 12/06/2023] [Accepted: 01/08/2024] [Indexed: 02/21/2024]
Abstract
PURPOSE We aimed to develop a free-breathing (FB) cardiac DTI (cDTI) method based on short-axis PROPELLER (SAP) and M2 motion compensated spin-echo EPI (SAP-M2-EPI) to mitigate geometric distortion and eliminate aliasing in acquired diffusion-weighted (DW) images, particularly in patients with a higher body mass index (BMI). THEORY AND METHODS The study involved 10 healthy volunteers whose BMI values fell into specific categories: BMI <25 (4 volunteers), 25< BMI <28 (5 volunteers), and BMI >30 (1 volunteer). We compared DTI parameters, including fractional anisotropy (FA), mean diffusivity (MD), and helix angle transmurality (HAT), between SAP-M2-EPI and M2-ssEPI. To evaluate the performance of SAP-M2-EPI in reducing geometric distortions in the left ventricle (LV) compared to CINE and M2-ssEPI, we utilized the DICE similarity coefficient (DSC) and assessed misregistration area. RESULTS In all volunteers, SAP-M2-EPI yielded high-quality LV DWIs without aliasing, demonstrating significantly reduced geometric distortion (with an average DSC of 0.92 and average misregistration area of 90 mm2) and diminished signal loss due to bulk motion when compared to M2-ssEPI. DTI parameter maps exhibited consistent patterns across slices without motion related artifacts. CONCLUSION SAP-M2-EPI facilitates free-breathing cDTI of the entire LV, effectively eliminating aliasing and minimizing geometric distortion compared to M2-ssEPI. Furthermore, it preserves accurate quantification of myocardial microstructure.
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Affiliation(s)
- Mehdi Sadighi
- Cardiovascular Innovation Research Center (CIRC), Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Danielle Kara
- Cardiovascular Innovation Research Center (CIRC), Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Dingheng Mai
- Cardiovascular Innovation Research Center (CIRC), Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Case Western Reserve University, Cleveland, Ohio, USA
| | - Khoi Nguyen
- Cardiovascular Innovation Research Center (CIRC), Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Shi Chen
- Cardiovascular Innovation Research Center (CIRC), Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Deborah Kwon
- Cardiovascular Innovation Research Center (CIRC), Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Imaging Institute,Cleveland Clinic, Cleveland, Ohio, USA
| | - Christopher Nguyen
- Cardiovascular Innovation Research Center (CIRC), Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Case Western Reserve University, Cleveland, Ohio, USA
- Imaging Institute,Cleveland Clinic, Cleveland, Ohio, USA
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Moulin K, Stoeck CT, Axel L, Broncano J, Croisille P, Dall'Armellina E, Ennis DB, Ferreira PF, Gotschy A, Miro S, Schneider JE, Scott AD, Sosnovik DE, Teh I, Tous C, Tunnicliffe EM, Viallon M, Nguyen C. In Vivo Cardiac Diffusion Imaging Without Motion-Compensation Leads to Unreasonably High Diffusivity. J Magn Reson Imaging 2023; 58:1990-1991. [PMID: 37000010 DOI: 10.1002/jmri.28703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 02/27/2023] [Indexed: 04/01/2023] Open
Affiliation(s)
- Kevin Moulin
- Department of Cardiology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Christian T Stoeck
- Institute for Biomedical Engineering, University and ETH, Zurich, Switzerland
- Center for Preclinical Development, University of Zurich and University Hospital Zurich, Zurich, Switzerland
| | - Leon Axel
- Department of Radiology, New York University Grossman School of Medicine, New York City, New York, USA
| | - Jordi Broncano
- Department of Radiology, Hospital San Juan de Dios, Hospital de la Cruz Roja, HT-RESALTA, HT Médica, Córdoba, Spain
| | - Pierre Croisille
- Department of Radiology, University Hospital of Saint-Etienne, Saint-Etienne, France
- CREATIS UMR CNRS5220 INSERM U1206, University of Lyon, Lyon, France
| | - Erica Dall'Armellina
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Daniel B Ennis
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Pedro F Ferreira
- Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Alexander Gotschy
- Institute for Biomedical Engineering, University and ETH, Zurich, Switzerland
| | - Santiago Miro
- Department of Radiology, Institut Universitaire de Cardiologie et de Pneumologie de Québec, Quebec City, Quebec, Canada
| | - Jurgen E Schneider
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Andrew D Scott
- Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - David E Sosnovik
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Irvin Teh
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Cyril Tous
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Center for Biomedical Imaging (CIBM), Lausanne, Switzerland
| | - Elizabeth M Tunnicliffe
- Radcliffe Department of Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Magalie Viallon
- Department of Radiology, University Hospital of Saint-Etienne, Saint-Etienne, France
- CREATIS UMR CNRS5220 INSERM U1206, University of Lyon, Lyon, France
| | - Christopher Nguyen
- Cardiovascular Innovation Research Center, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
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Counseller Q, Aboelkassem Y. Recent technologies in cardiac imaging. FRONTIERS IN MEDICAL TECHNOLOGY 2023; 4:984492. [PMID: 36704232 PMCID: PMC9872125 DOI: 10.3389/fmedt.2022.984492] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 11/30/2022] [Indexed: 01/11/2023] Open
Abstract
Cardiac imaging allows physicians to view the structure and function of the heart to detect various heart abnormalities, ranging from inefficiencies in contraction, regulation of volumetric input and output of blood, deficits in valve function and structure, accumulation of plaque in arteries, and more. Commonly used cardiovascular imaging techniques include x-ray, computed tomography (CT), magnetic resonance imaging (MRI), echocardiogram, and positron emission tomography (PET)/single-photon emission computed tomography (SPECT). More recently, even more tools are at our disposal for investigating the heart's physiology, performance, structure, and function due to technological advancements. This review study summarizes cardiac imaging techniques with a particular interest in MRI and CT, noting each tool's origin, benefits, downfalls, clinical application, and advancement of cardiac imaging in the near future.
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Affiliation(s)
- Quinn Counseller
- College of Health Sciences, University of Michigan, Flint, MI, United States
| | - Yasser Aboelkassem
- College of Innovation and Technology, University of Michigan, Flint, MI, United States
- Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI, United States
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Kharabish A, Hosny M, Hassan M, Mahrous MR, Elbayoumy M, Ahmed AE, Deyaa N, El Mozy W, Behairy N. Assessment of segmental agreement of T2 mapping versus triple inversion recovery in detection of acute myocardial edema. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00476-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
There are some limitations using the different sequences of clinical cardiac magnetic resonance (cardiac MR) in detection of edema in patients presenting with acute myocardial injury. The purpose of this study is to evaluate the myocardial segmental agreement between the different edema sequences: T2 mapping and turbo inversion recovery magnitude (TIRM) in detection of acute myocardial edema.
Results
Thirty-seven patients presented with acute infarction were sent to cardiac MR to assess myocardial edema. All cardiac MR studies were scanned using cine, TIRM, and late gadolinium enhancement (LGE) in short axis views (SAX). Position of the T2 mapping slices were copied from the TIRM. The left ventricle (LV) was divided into apical, mid, and basal segments per visualization of the papillary muscles. Edema mass was assessed separately in each segment as well as the total edema mass in both the TIRM and T2 mapping. Twenty-four patients of whom 12.5% had multi-territorial coronary lesions and edema were assessed. Myocardial edema was not assessed in thirteen patients (35%) due to significant intra myocardial hemorrhage (T2 mapping < 60 ms). No statistical significance was found between the TIRM and the T2 mapping neither in the total amount of edema (p = 0.79), nor in the LV basal, mid, and apical segments’ edema (p = 0.69, 0.5, and 0.8 respectively). The upper and lower limits of agreements were tested between the TIRM and the T2 mapping of total edema mass, basal segments, mid, and apical ventricular segments were = 18 and − 7.7 g, 11.3 and − 5.1 g, 12.3 and − 5.2 g, and 15.5 and − 7.8 g respectively.
Conclusion
This study supports the proof of the principle that there is no statistical significant difference per myocardial segments between the T2 mapping and routine edema’s sequences. Larger studies are recommended to assess the impact in clinical outcome.
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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: 4] [Impact Index Per Article: 0.8] [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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An DA, Chen BH, He J, Suo ST, Fahmy LM, Han TT, Hu J, Xu JR, Wu LM, Pu J. Diagnostic Utility of the Simplified Perfusion Fraction for Identifying Myocardial Injury in Patients With Reperfused ST-segment Elevation Myocardial Infarction. J Magn Reson Imaging 2020; 53:516-526. [PMID: 32841481 DOI: 10.1002/jmri.27310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 07/17/2020] [Accepted: 07/18/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Acute myocardial infarction (AMI) is a disease with high morbidity and mortality worldwide and the evaluation of myocardial injury and perfusion status following myocardial ischemia and reperfusion is of clinical value. PURPOSE To assess the diagnostic utility of simplified perfusion fraction (SPF) in differentiating salvage and infarcted myocardium and its predictive value for left ventricular remodeling in patients with reperfusion ST-segment elevation myocardial infarction (STEMI). STUDY TYPE Prospective. POPULATION Forty-one reperfused STEMI patients and 20 healthy volunteers. FIELD STRENGTH/SEQUENCE 3.0T MRI. The MR examination included cine, T2 -short tau inversion recovery (T2 -STIR), first pass perfusiong (FPP),phase sensitive inversion recovery (PSIR), and diffusion-weighted imaging (DWI). ASSESSMENT SPF values among different myocardium regions (infarcted, salvaged, remote, and MVO) and stages of reperfused STEMI patients as well as normal controls were measured. The diagnostic utility of SPF values in differentiating salvaged and infarcted myocardium was assessed. STATISTICAL ANALYSIS Independent t-test and the Mann-Whitney U-test. Logistic regression. RESULTS SPF values in healthy controls were not significantly different than SPF values in the remote myocardium of patients (40.09 ± 1.47% vs. 40.28 ± 1.93%, P = 0.698). In reperfusion STEMI patients, SPF values were lower in infarcted myocardium compared to remote and salvaged myocardium (32.15 ± 2.36% vs. 40.28 ± 1.93%, P < 0.001; 32.15 ± 2.36% vs. 36.68 ± 2.71%, P < 0.001). SPF values of infarcted myocardium showed a rebound increase from acute to convalescent stages (32.15 ± 2.36% vs. 34.69 ± 3.69%, P < 0.001). When differentiating infarcted and salvaged myocardium, SPF values demonstrated an area under the curve (AUC) of 0.89 (sensitivity 85.4%, specificity 80.5%, cutoff 34.42%). Lower SPF values were associated with lower odds ratio (OR = 0.304) of left ventricular remodeling after adjusting for potential confounders with a confidence interval (CI) of 0.129-0.717, P = 0.007. DATA CONCLUSION SPF might be able to differentiate salvaged and infarcted myocardium and is a strong predictor of left ventricular remodeling in reperfused STEMI patients. Level of Evidence 2 Technical Efficacy Stage 2.
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Affiliation(s)
- Dong-Aolei An
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bing-Hua Chen
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jie He
- Department of Cardiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Shi-Teng Suo
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lara M Fahmy
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan, USA
| | - Tong-Tong Han
- Circle Cardiovascular Imaging, Calgary, Alberta, Canada
| | - Jiani Hu
- Department of Radiology, Wayne State University, Detroit, Michigan, USA
| | - Jian-Rong Xu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lian-Ming Wu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jun Pu
- Department of Cardiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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An DA, Shi RY, Wu R, Suo S, Han TT, Xu JR, Pu J, Wu LM. Different Myocardial Perfusion Status in Acute Myocardial Infarction and Infarct-like Myocarditis: A Novel Intravoxel Incoherent Motion Diffusion-weighted Imaging based MRI Study. Acad Radiol 2020; 27:1093-1102. [PMID: 31780393 DOI: 10.1016/j.acra.2019.10.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 10/04/2019] [Accepted: 10/16/2019] [Indexed: 11/15/2022]
Abstract
PURPOSE The following study evaluated the diagnostic value of myocardial perfusion in patients with acute myocardial infarction (AMI) and "infarct-like myocarditis" using Intravoxel Incoherent Motion-Diffusion Weighted Imaging (IVIM-DWI imaging). METHOD CMR data from 20 patients with suspected AMI, 20 patients with "infarct-like myocarditis" and 20 volunteers were retrospectively analyzed. IVIM-DWI data were acquired using multi-b value single-shot spin-echo echo-planar imaging sequence. IVIM-DWI data were generated according to the 16-segments AHA-model. Cine sequences covering left and right ventricle in short axis and three long axis were analyzed using a dedicated tissue-tracking algorithm. RESULTS Overall, the AMI T2+ segments exhibited decreased apparent diffusion coefficient (ADC), ADCslow, ADC fast and f values (1.39 ± 0.23 μm2/ms, 1.36 ± 0.23 μm2/ms, 70.77 ± 7.04 μm2/ms, and 0.1243 ± 0.01, respectively) compared to infarct-like myocarditis T2+ (1.48 ± 0.11 μm2/ms, 1.44 ± 0.11 μm2/ms, 87.66 ± 12.50 μm2/ms, and 0.1411 ± 0.02, respectively) and normal controls (1.55 ± 0.07 μm2/ms, 1.52 ± 0.06 μm2/ms, 108.84 ± 4.06 μm2/ms, and 0.1599 ± 0.01, respectively) (all p < 0.05). In addition, AMI LGE+ segments showed significantly lower IVIM-DWI associated parameters (1.34 ± 0.21 μm2/ms, 1.31 ± 0.21 μm2/ms, 68.75 ± 6.33μm2/ms, and 0.1198 ± 0.01) compared to infarct-like myocarditis LGE+ (1.42 ± 0.06 μm2/ms, 1.38 ± 0.08 μm2/ms, 79.12 ± 5.70 μm2/ms, and 0.1313 ± 0.02) (p < 0.05). Moreover, left ventricular peak subendo and subepi radial, circumferential, and longitudinal strain were lower in AMI T2+ segments than in infarct-like myocarditis T2+ segments and normal controls (p < 0.05); AMI LGE+ segments exhibited the lowest strain in three orientations compared to other subgroups (p < 0.05). CONCLUSION These findings prove that IVIM-DWI may be used as a reliable sequence for evaluation of different myocardial perfusion patterns in AMI and infarct-like myocarditis. AMI may exhibit lower myocardial perfusion status compared to infarct-like myocarditis due to different pathophysiological process.
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Affiliation(s)
- Dong-Aolei An
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dong Fang Road, Shanghai 200127, China
| | - Ruo-Yang Shi
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dong Fang Road, Shanghai 200127, China
| | - Rui Wu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dong Fang Road, Shanghai 200127, China
| | - Shiteng Suo
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dong Fang Road, Shanghai 200127, China
| | - Tong-Tong Han
- Circle Cardiovascular Imaging, 250, 815 8th Ave SW Calgary, AB T2P 3P2 Canada
| | - Jian-Rong Xu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dong Fang Road, Shanghai 200127, China
| | - Jun Pu
- Department of Cardiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Lian-Ming Wu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dong Fang Road, Shanghai 200127, China.
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Shi RY, An DA, Chen BH, Wu R, Du L, Jiang M, Xu JR, Wu LM. Diffusion-weighted imaging in hypertrophic cardiomyopathy: association with high T2-weighted signal intensity in addition to late gadolinium enhancement. Int J Cardiovasc Imaging 2020; 36:2229-2238. [PMID: 32666169 DOI: 10.1007/s10554-020-01933-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 07/03/2020] [Indexed: 10/23/2022]
Abstract
Diffusion-weighted imaging (DWI) has been confirmed to be associated with late gadolinium enhancement (LGE) in hypertrophic cardiomyopathy (HCM). In this context, we aimed to study whether DWI could reflect the active tissue injury and edema information of HCM which were usually indicated by T2 weighted images. Forty HCM patients were examined using a 3.0 T magnetic resonance scanner. Cine, T2-weighted short tau inversion recovery (T2-STIR), DWI and LGE sequences were acquired. T1 mapping was also included to quantify the focal and diffuse fibrosis. Cardiac troponin I (cTnI) was tested to assess the recently myocardial injury. Student's t-test, Mann-Whitney U test, One-way analysis, Kruskal-Wallis analysis, the Spearman correlation analysis, and multivariable regression were used in this study. The apparent diffusion coefficient (ADC) was significantly elevated in the cTnI positive group (P = 0.01) and correlated with LGE (ρ = 0.312, P = 0.049) and HighT2 extent (ρ = 0.443, P = 0.004) in the global level. In the segmental analysis, the ADC significantly differentiated the segments with and without HighT2/LGE presence (P = 0.00). The average ADC values were higher in segments with HighT2 and LGE coexistence than in those with only LGE presence (P < 0.05). Multivariable regression indicated that segmental HighT2 and LGE were both contributing factors to the ADC values. In this study of HCM, we confirmed that ADC as a molecular diffusion parameter reflects the replacement fibrosis of myocardium. Moreover, it also reveals edema extent and its association with serum cTnI.
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Affiliation(s)
- Ruo-Yang Shi
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
| | - Dong-Aolei An
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
| | - Bing-Hua Chen
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
| | - Rui Wu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China
| | - Liang Du
- Robotics Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Meng Jiang
- Department of Cardiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jian-Rong Xu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China.
| | - Lian-Ming Wu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, No. 160, Pujian Road, Shanghai, 200127, China.
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9
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Xiang SF, Zhang XQ, Yang SJ, Gao YY, Gao BL, Shi QL, Li S. Intravoxel Incoherent Motion Magnetic Resonance Imaging with Integrated Slice-specific Shimming for old myocardial infarction: A Pilot Study. Sci Rep 2019; 9:19766. [PMID: 31875029 PMCID: PMC6930276 DOI: 10.1038/s41598-019-56489-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 12/12/2019] [Indexed: 11/14/2022] Open
Abstract
Currently, little is known regarding the value of quantitative parameters derived from the intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI) with integrated slice-specific shimming (iShim) sequence in detecting old myocardial infarction and myocardial fibrosis. This study was to investigate the value of IVIM-MRI with iShim sequence in diagnosing old myocardial infarction and fibrosis. Thirty-five patients with both old myocardial infarction and myocardial fibrosis and 12 healthy volunteers were prospectively enrolled to undergo cardiac diffusion-weighted imaging (DWI) using seven b-values (0, 20, 60, 80, 120, 200 and 600 s/mm2). The iShim sequence was used for IVIM data acquisition, and the diffusion parameters, D, D* and f values for IVIM, and conventional apparent diffusion coefficient (ADC) were evaluated on the anterior, posterior and lateral walls of the ventricular septum using the short axis of the heart. Significant differences were found in the D, D* and f values between healthy subjects and patients with old myocardial infarction and myocardial fibrosis (P = 0.000), with the median value of the D and f significantly smaller in the myocardial infarction and fibrosis than in the normal control but the median value of D* significantly greater in the myocardial infarction and fibrosis than in the normal control. In the receiver operating curve analysis, the areas under the curve were 0.939, 0.988 and 0.959 for the D, D* and f values, respectively. The sensitivities and specificities were 84.6% and 94.4% for D, 88.9% and 84.6% for D* and 100% and 93.1% for the f values, respectively. In conclusion, the IVIM-derived parameters (D, D* and f) obtained using the iShim DWI technique showed high capacity in diagnosing old myocardial infarction and myocardial fibrosis by providing diffusion and perfusion information, which may have great importance in future clinical practice.
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Affiliation(s)
- Shi-Feng Xiang
- Handan Central Hospital, 15 Southern Zhonghua Street, Handan City, Hebei Province, 056001, China
| | - Xue-Qiang Zhang
- Handan Central Hospital, 15 Southern Zhonghua Street, Handan City, Hebei Province, 056001, China.
| | - Su-Jun Yang
- Handan Central Hospital, 15 Southern Zhonghua Street, Handan City, Hebei Province, 056001, China
| | - Yun-Yun Gao
- Handan Central Hospital, 15 Southern Zhonghua Street, Handan City, Hebei Province, 056001, China
| | - Bu-Lang Gao
- Handan Central Hospital, 15 Southern Zhonghua Street, Handan City, Hebei Province, 056001, China
| | - Qing-Lei Shi
- Siemens medical system Co. Ltd., Beijing, 100176, China
| | - Shuai Li
- Siemens medical system Co. Ltd., Beijing, 100176, China
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10
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Stoeck CT, Scott AD, Ferreira PF, Tunnicliffe EM, Teh I, Nielles-Vallespin S, Moulin K, Sosnovik DE, Viallon M, Croisille P, Kozerke S, Firmin DN, Ennis DB, Schneider JE. Motion-Induced Signal Loss in In Vivo Cardiac Diffusion-Weighted Imaging. J Magn Reson Imaging 2019; 51:319-320. [PMID: 31034705 DOI: 10.1002/jmri.26767] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 04/18/2019] [Accepted: 04/18/2019] [Indexed: 01/07/2023] Open
Abstract
LEVEL OF EVIDENCE 5 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2020;51:319-320.
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Affiliation(s)
- Christian T Stoeck
- Institute for Biomedical Engineering, University and ETH, Zurich, Switzerland
| | - Andrew D Scott
- Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, UK.,National Heart and Lung Institute, Imperial College London, London, UK
| | - Pedro F Ferreira
- Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, UK.,National Heart and Lung Institute, Imperial College London, London, UK
| | - Elizabeth M Tunnicliffe
- University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Radcliffe Department of Medicine, University of Oxford, Oxford, UK.,NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Irvin Teh
- Leeds Institute of Cardiovascular & Metabolic Medicine, University of Leeds, Leeds, UK
| | - Sonia Nielles-Vallespin
- Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, UK.,National Heart and Lung Institute, Imperial College London, London, UK
| | - Kevin Moulin
- Department of Radiology, Stanford University, Stanford, California, USA
| | - David E Sosnovik
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.,Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Magalie Viallon
- Department of Radiology, University Hospital of Saint-Etienne, Saint-Etienne, France.,CREATIS UMR CNRS5220 INSERM U1206, University of Lyon, Lyon, France
| | - Pierre Croisille
- Department of Radiology, University Hospital of Saint-Etienne, Saint-Etienne, France.,CREATIS UMR CNRS5220 INSERM U1206, University of Lyon, Lyon, France
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH, Zurich, Switzerland
| | - David N Firmin
- Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, UK.,National Heart and Lung Institute, Imperial College London, London, UK
| | - Daniel B Ennis
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Jurgen E Schneider
- Leeds Institute of Cardiovascular & Metabolic Medicine, University of Leeds, Leeds, UK.,Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
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11
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Stephens NR, Restrepo CS, Saboo SS, Baxi AJ. Overview of complications of acute and chronic myocardial infarctions: revisiting pathogenesis and cross-sectional imaging. Postgrad Med J 2019; 95:439-450. [PMID: 30975728 DOI: 10.1136/postgradmedj-2018-136279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 02/06/2019] [Accepted: 02/09/2019] [Indexed: 01/14/2023]
Abstract
Myocardial infarction (MI) remains one of the leading contributors to overall mortality and morbidity in the modern world, even with recent advances in medicine. Various complications can arise following an MI, particularly with delayed or inadequate treatment. Even though many of these complications are uncommon, they can have a significant impact on patient outcomes. Some of these complications can be diagnosed based on clinical, laboratory and echocardiographic evaluation. Other times, however, cardiac MR and multidetector CT are necessary in their diagnosis and proper evaluation. Accurate detection of these complications is an important aspect of optimising prompt and effective patient care, leading to better clinical outcomes. It is the goal of this article to review the role of cross-sectional imaging in patients with post-MI as well as the characteristic imaging findings and differential diagnosis of common and uncommon complications of MI.
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Affiliation(s)
- Nicholas R Stephens
- Radiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Carlos S Restrepo
- Radiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Sachin S Saboo
- Radiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Ameya J Baxi
- Radiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
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12
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Xiang SF, Zhang XQ, Yang SJ, Hou B, Wang YF, Huo S, Dong XL, Yang Z. STROBE-A preliminary investigation of IVIM-DWI in cardiac imaging. Medicine (Baltimore) 2018; 97:e11902. [PMID: 30200075 PMCID: PMC6133472 DOI: 10.1097/md.0000000000011902] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
This study aims to explore the possibility to apply intravoxel incoherent motion-magnetic resonance imaging (IVIM-MRI) in cardiac imaging.Multi-b-value diffusion-weighted imaging (DWI) sequence scanning was performed on 12 healthy volunteers. A double exponential model was adopted, and the b-value sequence was 0, 20, 60, 80, 120, 200, and 600 second/mm. The D-value, D*-value, and f-value of the anterior posterior and lateral walls of the ventricular septum were respectively measured on the short axis section of the heart, the parameters of the myocardium in different blood supply areas in each segment were recorded, and the measured data of these different segments were compared using analysis of variance.Among these 12 healthy volunteers, the D-value, D*-value, and f-value of these 72 segments were not exactly equal, the D-values of the myocardium in the 5th and 11th segment were lower than those in the 2nd, 3rd, 8th, and 9th segments, and the pairwise differences were statistically significant (P < .001). Furthermore, the difference in D-value between the 5th and 11th segments was not statistically significant (P = 1.000). The D*-value and f-value of the myocardium in the 5th and 11th segment were higher than those in the 2nd, 3rd, 8th, and 9th segments, and the pairwise differences were statistically significant (P < .001). Furthermore, the differences in D*-value and f-value between the 5th and 11th segments was not statistically significant (P = .214, .787).The intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) technique can quantitatively reflect the diffusion and blood perfusion status of the myocardium.
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Affiliation(s)
| | | | | | | | | | - Shuang Huo
- Department of Scientific Research, Handan Central Hospital, Handan, China
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13
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Broncano J, Vargas D, Bhalla S, Cummings KW, Raptis CA, Luna A. CT and MR Imaging of Cardiothoracic Vasculitis. Radiographics 2018; 38:997-1021. [PMID: 29883266 DOI: 10.1148/rg.2018170136] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The term vasculitis includes a variable group of entities in which the common characteristic is inflammation of the walls of blood vessels occurring at some time during the course of the disease. The vasculitides can be divided into primary and secondary vasculitides, depending on the etiology and according to the size of the vessel affected. Both primary vasculitis and secondary vasculitis are associated with cardiac morbidity that is often subclinical. Cardiac involvement is associated with prognostic implications and higher rates of related mortality. Vasculitis of cardiac structures and the assessment of disease extent are important for appropriate management and selection of treatment. Although echocardiography, radionuclide imaging, and catheter-directed coronary angiography remain the cornerstones of cardiac imaging, cardiac computed tomography and magnetic resonance imaging can offer a 360° assessment of cardiac anatomy, function, and complications secondary to vasculitis. Postoperative complications, which are more frequent in patients with active disease, can also be depicted with those imaging modalities. A multidisciplinary approach is important to yield an appropriate estimate of the disease activity and extent and, therefore, to enable better treatment selection and monitoring. Online supplemental material is available for this article. ©RSNA, 2018.
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Affiliation(s)
- Jordi Broncano
- From the Department of Radiology, Ressalta Health Time Group, Hospital Cruz Roja, Avenida Paseo de la Victoria s/n, Córdoba 14004, Spain (J.B.); Department of Radiology, University of Colorado, Denver, Colo (D.V.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B., C.A.R.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (K.W.C.); and MRI Section, Health Time, Jaén, Spain, and Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.)
| | - Daniel Vargas
- From the Department of Radiology, Ressalta Health Time Group, Hospital Cruz Roja, Avenida Paseo de la Victoria s/n, Córdoba 14004, Spain (J.B.); Department of Radiology, University of Colorado, Denver, Colo (D.V.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B., C.A.R.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (K.W.C.); and MRI Section, Health Time, Jaén, Spain, and Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.)
| | - Sanjeev Bhalla
- From the Department of Radiology, Ressalta Health Time Group, Hospital Cruz Roja, Avenida Paseo de la Victoria s/n, Córdoba 14004, Spain (J.B.); Department of Radiology, University of Colorado, Denver, Colo (D.V.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B., C.A.R.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (K.W.C.); and MRI Section, Health Time, Jaén, Spain, and Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.)
| | - Kristopher W Cummings
- From the Department of Radiology, Ressalta Health Time Group, Hospital Cruz Roja, Avenida Paseo de la Victoria s/n, Córdoba 14004, Spain (J.B.); Department of Radiology, University of Colorado, Denver, Colo (D.V.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B., C.A.R.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (K.W.C.); and MRI Section, Health Time, Jaén, Spain, and Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.)
| | - Constantine A Raptis
- From the Department of Radiology, Ressalta Health Time Group, Hospital Cruz Roja, Avenida Paseo de la Victoria s/n, Córdoba 14004, Spain (J.B.); Department of Radiology, University of Colorado, Denver, Colo (D.V.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B., C.A.R.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (K.W.C.); and MRI Section, Health Time, Jaén, Spain, and Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.)
| | - Antonio Luna
- From the Department of Radiology, Ressalta Health Time Group, Hospital Cruz Roja, Avenida Paseo de la Victoria s/n, Córdoba 14004, Spain (J.B.); Department of Radiology, University of Colorado, Denver, Colo (D.V.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B., C.A.R.); Department of Radiology, Mayo Clinic, Phoenix, Ariz (K.W.C.); and MRI Section, Health Time, Jaén, Spain, and Department of Radiology, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, Ohio (A.L.)
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14
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An DA, Chen BH, Rui-Wu, Shi RY, Bu J, Ge H, Hu J, Xu JR, Wu LM. Diagnostic performance of intravoxel incoherent motion diffusion-weighted imaging in the assessment of the dynamic status of myocardial perfusion. J Magn Reson Imaging 2018; 48:1602-1609. [PMID: 29734489 DOI: 10.1002/jmri.26179] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 04/16/2018] [Indexed: 11/08/2022] Open
Affiliation(s)
- Dong-Aolei An
- Department of Radiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Bing-Hua Chen
- Department of Radiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Rui-Wu
- Department of Radiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Ruo-Yang Shi
- Department of Radiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Jun Bu
- Department of Cardiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Heng Ge
- Department of Cardiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Jiani Hu
- Department of Radiology; Wayne State University; Detroit Michigan USA
| | - Jian-Rong Xu
- Department of Radiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
| | - Lian-Ming Wu
- Department of Radiology; Renji Hospital, School of Medicine, Shanghai Jiao Tong University; Shanghai China
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15
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Spinner GR, von Deuster C, Tezcan KC, Stoeck CT, Kozerke S. Bayesian intravoxel incoherent motion parameter mapping in the human heart. J Cardiovasc Magn Reson 2017; 19:85. [PMID: 29110717 PMCID: PMC5770136 DOI: 10.1186/s12968-017-0391-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Accepted: 10/04/2017] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Intravoxel incoherent motion (IVIM) imaging of diffusion and perfusion in the heart suffers from high parameter estimation error. The purpose of this work is to improve cardiac IVIM parameter mapping using Bayesian inference. METHODS A second-order motion-compensated diffusion weighted spin-echo sequence with navigator-based slice tracking was implemented to collect cardiac IVIM data in early systole in eight healthy subjects on a clinical 1.5 T CMR system. IVIM data were encoded along six gradient optimized directions with b-values of 0-300 s/mm2. Subjects were scanned twice in two scan sessions one week apart to assess intra-subject reproducibility. Bayesian shrinkage prior (BSP) inference was implemented to determine IVIM parameters (diffusion D, perfusion fraction F and pseudo-diffusion D*). Results were compared to least-squares (LSQ) parameter estimation. Signal-to-noise ratio (SNR) requirements for a given fitting error were assessed for the two methods using simulated data. Reproducibility analysis of parameter estimation in-vivo using BSP and LSQ was performed. RESULTS BSP resulted in reduced SNR requirements when compared to LSQ in simulations. In-vivo, BSP analysis yielded IVIM parameter maps with smaller intra-myocardial variability and higher estimation certainty relative to LSQ. Mean IVIM parameter estimates in eight healthy subjects were (LSQ/BSP): 1.63 ± 0.28/1.51 ± 0.14·10-3 mm2/s for D, 13.13 ± 19.81/13.11 ± 5.95% for F and 201.45 ± 313.23/13.11 ± 14.53·10-3 mm2/s for D ∗. Parameter variation across all volunteers and measurements was lower with BSP compared to LSQ (coefficient of variation BSP vs. LSQ: 9% vs. 17% for D, 45% vs. 151% for F and 111% vs. 155% for D ∗). In addition, reproducibility of the IVIM parameter estimates was higher with BSP compared to LSQ (Bland-Altman coefficients of repeatability BSP vs. LSQ: 0.21 vs. 0.26·10-3 mm2/s for D, 5.55 vs. 6.91% for F and 15.06 vs. 422.80·10-3 mm2/s for D*). CONCLUSION Robust free-breathing cardiac IVIM data acquisition in early systole is possible with the proposed method. BSP analysis yields improved IVIM parameter maps relative to conventional LSQ fitting with fewer outliers, improved estimation certainty and higher reproducibility. IVIM parameter mapping holds promise for myocardial perfusion measurements without the need for contrast agents.
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Affiliation(s)
- Georg R Spinner
- Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, 8092, Zurich, Switzerland.
| | - Constantin von Deuster
- Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, 8092, Zurich, Switzerland
| | - Kerem C Tezcan
- Computer Vision Laboratory, ETH Zurich, Sternwartstrasse 7, 8092, Zurich, Switzerland
| | - Christian T Stoeck
- Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, 8092, Zurich, Switzerland
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, 8092, Zurich, Switzerland
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16
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Wu R, An DA, Hu J, Jiang M, Guo Q, Xu JR, Wu LM. The apparent diffusion coefficient is strongly correlated with extracellular volume, a measure of myocardial fibrosis, and subclinical cardiomyopathy in patients with systemic lupus erythematosus. Acta Radiol 2017; 59:287-295. [DOI: 10.1177/0284185117717763] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Extracellular volume (ECV) has been histologically validated as a non-invasive quantitative index of myocardial fibrosis that does not require the use of contrast, which is contraindicated in patients with renal insufficiency. Purpose To evaluate the correlation between the contrast-free apparent diffusion coefficient (ADC) and ECV, an index of fibrosis. Material and Methods Twenty-four patients with systemic lupus erythematosus (SLE), who were predominantly women (mean age = 36 ± 12 years) and 12 normal participants (mean age = 38 ± 10 years) underwent cardiac magnetic resonance (CMR) via 3.0 T MR with T1 mapping. Diffusion-weighted imaging (DWI) and late gadolinium-enhanced (LGE) imaging served as the reference standards with which CMR was compared. The mean ADC, native T1, and ECV were calculated for each patient, and the correlations among these parameters were analyzed. Results Both SLE LGE-positive (LGE+) and SLE LGE-negative (LGE–) participants had higher native T1 values, ECV, and ADC than normal controls ( P < 0.05). SLE LGE+ participants exhibited a higher ECV (0.31 ± 0.02) and ADC (2.44 ± 0.32 × 10−3 mm2/s) than SLE LGE– participants ( p < 0.05); however, SLE LGE+ and SLE LGE– participants had similar native T1 values (1227 ± 48.81 ms versus 1174.70 ± 95.80 ms, respectively; P > 0.05). ADC values were positively correlated with increased ECV (R2 = 0.62) and native T1 values (R2 = 0.28) in all participants. Conclusion ADC measurements are a suitable alternative to ECV that may be used to assess and quantify myocardial fibrosis in patients with SLE.
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Affiliation(s)
- Rui Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China
| | - Dong-Aolei An
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China
| | - Jiani Hu
- Department of Radiology, Wayne State University, Detroit, MI, USA
| | - Meng Jiang
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China
| | - Qiang Guo
- Department of Rheumatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China
| | - Jian-Rong Xu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China
| | - Lian-Ming Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China
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17
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Saeed M, Liu H, Liang CH, Wilson MW. Magnetic resonance imaging for characterizing myocardial diseases. Int J Cardiovasc Imaging 2017; 33:1395-1414. [PMID: 28364177 DOI: 10.1007/s10554-017-1127-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Accepted: 03/23/2017] [Indexed: 12/21/2022]
Abstract
The National Institute of Health defined cardiomyopathy as diseases of the heart muscle. These myocardial diseases have different etiology, structure and treatment. This review highlights the key imaging features of different myocardial diseases. It provides information on myocardial structure/orientation, perfusion, function and viability in diseases related to cardiomyopathy. The standard cardiac magnetic resonance imaging (MRI) sequences can reveal insight on left ventricular (LV) mass, volumes and regional contractile function in all types of cardiomyopathy diseases. Contrast enhanced MRI sequences allow visualization of different infarct patterns and sizes. Enhancement of myocardial inflammation and infarct (location, transmurality and pattern) on contrast enhanced MRI have been used to highlight the key differences in myocardial diseases, predict recovery of function and healing. The common feature in many forms of cardiomyopathy is the presence of diffuse-fibrosis. Currently, imaging sequences generating the most interest in cardiomyopathy include myocardial strain analysis, tissue mapping (T1, T2, T2*) and extracellular volume (ECV) estimation techniques. MRI sequences have the potential to decode the etiology by showing various patterns of infarct and diffuse fibrosis in myocarditis, amyloidosis, sarcoidosis, hypertrophic cardiomyopathy due to aortic stenosis, restrictive cardiomyopathy, arrythmogenic right ventricular dysplasia and hypertension. Integrated PET/MRI system may add in the future more information for the diagnosis and progression of cardiomyopathy diseases. With the promise of high spatial/temporal resolution and 3D coverage, MRI will be an indispensible tool in diagnosis and monitoring the benefits of new therapies designed to treat myocardial diseases.
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Affiliation(s)
- Maythem Saeed
- Department of Radiology and Biomedical Imaging, School of Medicine, University of California San Francisco, 185 Berry Street, Suite 350, Campus Box 0946, San Francisco, CA, 94107-5705, USA.
| | - Hui Liu
- Department of Radiology, Guangdong General Hospital, Guangzhou, China
| | - Chang-Hong Liang
- Department of Radiology, Guangdong General Hospital, Guangzhou, China
| | - Mark W Wilson
- Department of Radiology and Biomedical Imaging, School of Medicine, University of California San Francisco, 185 Berry Street, Suite 350, Campus Box 0946, San Francisco, CA, 94107-5705, USA
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18
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Mou A, Zhang C, Li M, Jin F, Song Q, Liu A, Li Z. Evaluation of myocardial microcirculation using intravoxel incoherent motion imaging. J Magn Reson Imaging 2017; 46:1818-1828. [PMID: 28306208 DOI: 10.1002/jmri.25706] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 03/02/2017] [Indexed: 11/07/2022] Open
Affiliation(s)
- Anna Mou
- Department of Radiology; First Affiliated Hospital of Dalian Medical University; Dalian P.R. China
| | - Chen Zhang
- Department of Radiology; First Affiliated Hospital of Dalian Medical University; Dalian P.R. China
| | - Mengying Li
- Department of Radiology; First Affiliated Hospital of Dalian Medical University; Dalian P.R. China
| | - Fengqiang Jin
- Department of Radiology; First Affiliated Hospital of Dalian Medical University; Dalian P.R. China
| | - Qingwei Song
- Department of Radiology; First Affiliated Hospital of Dalian Medical University; Dalian P.R. China
| | - Ailian Liu
- Department of Radiology; First Affiliated Hospital of Dalian Medical University; Dalian P.R. China
| | - Zhiyong Li
- Department of Radiology; First Affiliated Hospital of Dalian Medical University; Dalian P.R. China
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19
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Wu LM, Chen BH, Yao QY, Ou YR, Wu R, Jiang M, Hu J, An DA, Xu JR. Quantitative diffusion-weighted magnetic resonance imaging in the assessment of myocardial fibrosis in hypertrophic cardiomyopathy compared with T1 mapping. Int J Cardiovasc Imaging 2016; 32:1289-97. [PMID: 27198892 DOI: 10.1007/s10554-016-0909-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Accepted: 05/05/2016] [Indexed: 11/29/2022]
Abstract
To identify myocardial fibrosis in hypertrophic cardiomyopathy (HCM) subjects using quantitative cardiac diffusion-weighted imaging (DWI) and to compare its performance with native T1 mapping and extracellular volume (ECV). Thirty-eight HCM subjects (mean age, 53 ± 9 years) and 14 normal controls (mean age, 51 ± 8 years) underwent cardiac magnetic resonance imaging (CMRI) on a 3.0T magnetic resonance (MR) machine with DWI, T1 mapping and late gadolinium enhancement (LGE) imaging as the reference standard. The mean apparent diffusion coefficient (ADC), native T1 value and ECV were determined for each subject. Overall, the HCM subjects exhibited an increased native T1 value (1241.04 ± 78.50 ms), ECV (0.31 ± 0.03) and ADC (2.36 ± 0.34 s/mm(2)) compared with the normal controls (1114.60 ± 37.99 ms, 0.24 ± 0.04, and 1.62 ± 0.38 s/mm(2), respectively) (p < 0.05). DWI differentiated healthy and fibrotic myocardia with an area under the curve (AUC) of 0.93, while the AUCs of the native T1 values (0.93), (p > 0.05) and ECV (0.94), (p > 0.05) exhibited an equal differentiation ability. Both HCM LGE+ and HCM LGE- subjects had an increased native T1 value, ECV and ADC compared to the normal controls (p < 0.05). HCM LGE+ subjects exhibited an increased ECV (0.31 ± 0.04) and ADC (2.43 ± 0.36 s/mm(2)) compared to HCM LGE- subjects (p < 0.05). HCM LGE+ and HCM LGE- subjects had similar native T1 values (1250 ± 76.36 ms vs. 1213.98 ± 92.30 ms, respectively) (p > 0.05). ADC values were linearly associated with increased ECV (R(2) = 0.36) and native T1 values (R(2) = 0.40) among all subjects. DWI is a feasible alternative to native T1 mapping and ECV for the identification of myocardial fibrosis in patients with HCM. DWI and ECV can quantitatively characterize the extent of fibrosis in HCM LGE+ and HCM LGE- patients.
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Affiliation(s)
- Lian-Ming Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bing-Hua Chen
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qiu-Ying Yao
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yang-Rongzheng Ou
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Rui Wu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Meng Jiang
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jiani Hu
- Department of Radiology, Wayne State University, Detroit, MI, USA
| | - Dong-Aolei An
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jian-Rong Xu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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Zhu L, Zhang C, Hua Y, Yang J, Yu Q, Tao X, Zheng J. Dynamic contrast-enhanced MR in the diagnosis of lympho-associated benign and malignant lesions in the parotid gland. Dentomaxillofac Radiol 2016; 45:20150343. [PMID: 26846712 DOI: 10.1259/dmfr.20150343] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE The aim of this study was to determine if dynamic contrast-enhanced (DCE)-MRI can differentiate mucosa-associated lymphoid tissue (MALT) lymphoma from benign lymphoepithelial lesion (BLEL) in the parotid gland. METHODS 25 patients with tumour-like BLEL and 20 patients with MALT lymphoma in the parotid gland confirmed by pathology were examined pre-operatively using routine MR series and DCE-MRI with a 1.5-T MR unit. The time to peak (TTP), time to start (TTS), SIstart, SImax and SIending were measured and the initial slope of increase (ISI) and relative washout ratio (RWO) were calculated separately from the time-intensity curve (TIC), and the types of TIC were analysed. RESULTS There were significant differences in the TTP and ISI between the two lesions (p < 0.001). The sensitivity, specificity and accuracy of TTP were all more than 90%. TICs were divided into three types according to the threshold of TTP and ISI: tumour-like BLEL: gradual type (Type II) and late increase type (Type III); MALT lymphoma: rapid increase and gradual type (Type I). CONCLUSIONS DCE-MRI contributed greatly to the differential diagnosis between tumour-like BLEL and MALT lymphoma in the parotid gland.
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Affiliation(s)
- Ling Zhu
- 1 Department of Radiology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chunye Zhang
- 2 Department of Oral pathology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yi Hua
- 3 Department of prevention and health care, Preventive and health care center of Wuzhong economic developing-area, Suzhou, China
| | - Jie Yang
- 4 Division of Oral & Maxillofacial Radiology, Temple University School of Dentistry, and Department of Diagnostic Imaging, Temple University School of Medicine, PA, USA
| | - Qiang Yu
- 1 Department of Radiology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaofeng Tao
- 1 Department of Radiology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jiawei Zheng
- 5 Department of Oral and Maxillofacial Surgery, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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Broncano J, Luna A, Sánchez-González J, Alvarez-Kindelan A, Bhalla S. Functional MR Imaging in Chest Malignancies. Magn Reson Imaging Clin N Am 2016; 24:135-155. [DOI: 10.1016/j.mric.2015.08.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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22
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Saeed M, Van TA, Krug R, Hetts SW, Wilson MW. Cardiac MR imaging: current status and future direction. Cardiovasc Diagn Ther 2015; 5:290-310. [PMID: 26331113 DOI: 10.3978/j.issn.2223-3652.2015.06.07] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Accepted: 06/17/2015] [Indexed: 12/12/2022]
Abstract
Coronary artery disease is currently a worldwide epidemic with increasing impact on healthcare systems. Magnetic resonance imaging (MRI) sequences give complementary information on LV function, regional perfusion, angiogenesis, myocardial viability and orientations of myocytes. T2-weighted short-tau inversion recovery (T2-STIR), fat suppression and black blood sequences have been frequently used for detecting edematous area at risk (AAR) of infarction. T2 mapping, however, indicated that the edematous reaction in acute myocardial infarct (AMI) is not stable and warranted the use of edematous area in evaluating therapies. On the other hand, cine MRI demonstrated reproducible data on LV function in healthy volunteers and LV remodeling in patients. Noninvasive first pass perfusion, using exogenous tracer (gadolinium-based contrast media) and arterial spin labeling MRI, using endogenous tracer (water), are sensitive and useful techniques for evaluating myocardial perfusion and angiogenesis. Recently, new strategies have been developed to quantify myocardial viability using T1-mapping and equilibrium contrast enhanced MR techniques because existing delayed contrast enhancement MRI (DE-MRI) sequences are limited in detecting patchy microinfarct and diffuse fibrosis. These new techniques were successfully used for characterizing diffuse myocardial fibrosis associated with myocarditis, amyloidosis, sarcoidosis heart failure, aortic hypertrophic cardiomyopathy, congenital heart disease, restrictive cardiomyopathy, arrhythmogenic right ventricular dysplasia and hypertension). Diffusion MRI provides information regarding microscopic tissue structure, while diffusion tensor imaging (DTI) helps to characterize the myocardium and monitor the process of LV remodeling after AMI. Novel trends in hybrid imaging, such as cardiac positron emission tomography (PET)/MRI and optical imaging/MRI, are recently under intensive investigation. With the promise of higher spatial-temporal resolution and 3D coverage in the near future, cardiac MRI will be an indispensible tool in the diagnosis of cardiac diseases, coronary intervention and myocardial therapeutic delivery.
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Affiliation(s)
- Maythem Saeed
- 1 Department of Radiology and Biomedical Imaging, School of Medicine, University of California San Francisco, San Francisco, CA, USA ; 2 Zentralinstitut für Medizintechnik, Technical University of Munich, Munich, Germany
| | - Tu Anh Van
- 1 Department of Radiology and Biomedical Imaging, School of Medicine, University of California San Francisco, San Francisco, CA, USA ; 2 Zentralinstitut für Medizintechnik, Technical University of Munich, Munich, Germany
| | - Roland Krug
- 1 Department of Radiology and Biomedical Imaging, School of Medicine, University of California San Francisco, San Francisco, CA, USA ; 2 Zentralinstitut für Medizintechnik, Technical University of Munich, Munich, Germany
| | - Steven W Hetts
- 1 Department of Radiology and Biomedical Imaging, School of Medicine, University of California San Francisco, San Francisco, CA, USA ; 2 Zentralinstitut für Medizintechnik, Technical University of Munich, Munich, Germany
| | - Mark W Wilson
- 1 Department of Radiology and Biomedical Imaging, School of Medicine, University of California San Francisco, San Francisco, CA, USA ; 2 Zentralinstitut für Medizintechnik, Technical University of Munich, Munich, Germany
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Nguyen C, Fan Z, Sharif B, He Y, Dharmakumar R, Berman DS, Li D. In vivo three-dimensional high resolution cardiac diffusion-weighted MRI: A motion compensated diffusion-prepared balanced steady-state free precession approach. Magn Reson Med 2013; 72:1257-67. [DOI: 10.1002/mrm.25038] [Citation(s) in RCA: 82] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2013] [Revised: 09/23/2013] [Accepted: 10/18/2013] [Indexed: 11/07/2022]
Affiliation(s)
- Christopher Nguyen
- Biomedical Imaging Research Institute; Cedars-Sinai Medical Center; Los Angeles California USA
- Department of Bioengineering; University of California Los Angeles; Los Angeles California USA
| | - Zhaoyang Fan
- Biomedical Imaging Research Institute; Cedars-Sinai Medical Center; Los Angeles California USA
| | - Behzad Sharif
- Biomedical Imaging Research Institute; Cedars-Sinai Medical Center; Los Angeles California USA
| | - Yi He
- Department of Radiology; Anzhen Hospital; Beijing China
| | - Rohan Dharmakumar
- Biomedical Imaging Research Institute; Cedars-Sinai Medical Center; Los Angeles California USA
| | - Daniel S. Berman
- Biomedical Imaging Research Institute; Cedars-Sinai Medical Center; Los Angeles California USA
| | - Debiao Li
- Biomedical Imaging Research Institute; Cedars-Sinai Medical Center; Los Angeles California USA
- Department of Bioengineering; University of California Los Angeles; Los Angeles California USA
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Kociemba A, Pyda M, Katulska K, Łanocha M, Siniawski A, Janus M, Grajek S. Comparison of diffusion-weighted with T2-weighted imaging for detection of edema in acute myocardial infarction. J Cardiovasc Magn Reson 2013; 15:90. [PMID: 24098944 PMCID: PMC3852828 DOI: 10.1186/1532-429x-15-90] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2013] [Accepted: 10/01/2013] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND Recent studies, performed with the use of a commercially available diffusion weighted imaging (DWI) sequence, showed that they are sensitive to the increase of water content in the myocardium and may be used as an alternative to the standard T2-weighted sequences. The aim of this study was to compare two methods of myocardial edema imaging: DWI and T2-TIRM. METHODS The study included 91 acute and post STEMI patients. We applied a qualitative and quantitative image analysis. The qualitative analysis consisted of evaluation of the quality of blood suppression, presence of artifacts and occurrence of high signal (edema) areas. On the basis of edema detection in AMI and control (post STEMI) group, the sensitivity and specificity of TIRM and DWI were determined. Two contrast to noise ratios (CNR) were calculated: CNR1--the contrast between edema and healthy myocardium and CNR2--the contrast between edema and intraventricular blood pool. The area of edema was measured for both TIRM and DWI sequences and compared with the infarct size in LGE images. RESULTS Edema occurred more frequently in the DWI sequence. A major difference was observed in the inferior wall, where an edema-high signal was observed in 46% in T2-TIRM, whereas in the DWI sequence in 85%. An analysis of the image quality parameters showed that the use of DWI sequence allows complete blood signal suppression in the left ventricular cavity and reduces the occurrence of motion artifacts. However, it is connected with a higher incidence of magnetic susceptibility artifacts and image distortion. An analysis of the CNRs showed that CNR1 in T2-TIRM sequence depends on the infarct location and has the lowest value for the inferior wall. The area of edema measured on DWI images was significantly larger than in T2-TIRM. CONCLUSIONS DWI is a new technique for edema detection in patients with acute myocardial infarction which may be recommended for the diagnosis of acute injuries, especially in patients with slow-flow artifacts in TIRM images.
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Affiliation(s)
- Anna Kociemba
- Magnetic Resonance Unit, I’st Department of Cardiology, University of Medical Sciences, Poznan, Poland
| | - Małgorzta Pyda
- Magnetic Resonance Unit, I’st Department of Cardiology, University of Medical Sciences, Poznan, Poland
| | | | - Magdalena Łanocha
- Magnetic Resonance Unit, I’st Department of Cardiology, University of Medical Sciences, Poznan, Poland
| | - Andrzej Siniawski
- Magnetic Resonance Unit, I’st Department of Cardiology, University of Medical Sciences, Poznan, Poland
| | - Magdalena Janus
- Magnetic Resonance Unit, I’st Department of Cardiology, University of Medical Sciences, Poznan, Poland
| | - Stefan Grajek
- Magnetic Resonance Unit, I’st Department of Cardiology, University of Medical Sciences, Poznan, Poland
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