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Mézquita AJV, Biavati F, Falk V, Alkadhi H, Hajhosseiny R, Maurovich-Horvat P, Manka R, Kozerke S, Stuber M, Derlin T, Channon KM, Išgum I, Coenen A, Foellmer B, Dey D, Volleberg RHJA, Meinel FG, Dweck MR, Piek JJ, van de Hoef T, Landmesser U, Guagliumi G, Giannopoulos AA, Botnar RM, Khamis R, Williams MC, Newby DE, Dewey M. Clinical quantitative coronary artery stenosis and coronary atherosclerosis imaging: a Consensus Statement from the Quantitative Cardiovascular Imaging Study Group. Nat Rev Cardiol 2023; 20:696-714. [PMID: 37277608 DOI: 10.1038/s41569-023-00880-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/19/2023] [Indexed: 06/07/2023]
Abstract
The detection and characterization of coronary artery stenosis and atherosclerosis using imaging tools are key for clinical decision-making in patients with known or suspected coronary artery disease. In this regard, imaging-based quantification can be improved by choosing the most appropriate imaging modality for diagnosis, treatment and procedural planning. In this Consensus Statement, we provide clinical consensus recommendations on the optimal use of different imaging techniques in various patient populations and describe the advances in imaging technology. Clinical consensus recommendations on the appropriateness of each imaging technique for direct coronary artery visualization were derived through a three-step, real-time Delphi process that took place before, during and after the Second International Quantitative Cardiovascular Imaging Meeting in September 2022. According to the Delphi survey answers, CT is the method of choice to rule out obstructive stenosis in patients with an intermediate pre-test probability of coronary artery disease and enables quantitative assessment of coronary plaque with respect to dimensions, composition, location and related risk of future cardiovascular events, whereas MRI facilitates the visualization of coronary plaque and can be used in experienced centres as a radiation-free, second-line option for non-invasive coronary angiography. PET has the greatest potential for quantifying inflammation in coronary plaque but SPECT currently has a limited role in clinical coronary artery stenosis and atherosclerosis imaging. Invasive coronary angiography is the reference standard for stenosis assessment but cannot characterize coronary plaques. Finally, intravascular ultrasonography and optical coherence tomography are the most important invasive imaging modalities for the identification of plaques at high risk of rupture. The recommendations made in this Consensus Statement will help clinicians to choose the most appropriate imaging modality on the basis of the specific clinical scenario, individual patient characteristics and the availability of each imaging modality.
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Affiliation(s)
| | - Federico Biavati
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Volkmar Falk
- Department of Cardiothoracic and Vascular Surgery, Deutsches Herzzentrum der Charité (DHZC), Charité - Universitätsmedizin Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research) Partner Site, Berlin, Germany
- Department of Health Science and Technology, ETH Zurich, Zurich, Switzerland
| | - Hatem Alkadhi
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Reza Hajhosseiny
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Pál Maurovich-Horvat
- Department of Radiology, Medical Imaging Center, Semmelweis University, Budapest, Hungary
| | - Robert Manka
- Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, ETH Zurich, University of Zurich, Zurich, Switzerland
| | - Matthias Stuber
- Department of Radiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Thorsten Derlin
- Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
| | - Keith M Channon
- Radcliffe Department of Medicine, University of Oxford and Oxford University Hospitals, Oxford, UK
| | - Ivana Išgum
- Department of Biomedical Engineering and Physics, Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Adriaan Coenen
- Department of Radiology, Erasmus University, Rotterdam, Netherlands
| | - Bernhard Foellmer
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Damini Dey
- Departments of Biomedical Sciences and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Rick H J A Volleberg
- Department of Cardiology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Felix G Meinel
- Department of Radiology, University Medical Centre Rostock, Rostock, Germany
| | - Marc R Dweck
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Jan J Piek
- Department of Clinical and Experimental Cardiology and Cardiovascular Sciences, Amsterdam UMC, Heart Center, University of Amsterdam, Amsterdam, Netherlands
| | - Tim van de Hoef
- Department of Cardiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Ulf Landmesser
- DZHK (German Centre for Cardiovascular Research) Partner Site, Berlin, Germany
- Department of Cardiology, Deutsches Herzzentrum der Charité (DHZC), Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Giulio Guagliumi
- Division of Cardiology, IRCCS Galeazzi Sant'Ambrogio Hospital, Milan, Italy
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - René M Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
- Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile
| | - Ramzi Khamis
- National Heart and Lung Institute, Imperial College London, London, UK
| | | | - David E Newby
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Marc Dewey
- Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research) Partner Site, Berlin, Germany.
- Deutsches Herzzentrum der Charité (DHZC), Charité - Universitätsmedizin Berlin, Berlin, Germany.
- Berlin Institute of Health, Campus Charité Mitte, Berlin, Germany.
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2
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Wu C, Wang N, Gaddam S, Wang L, Han H, Sung K, Christodoulou AG, Xie Y, Pandol S, Li D. Retrospective quantification of clinical abdominal DCE-MRI using pharmacokinetics-informed deep learning: a proof-of-concept study. FRONTIERS IN RADIOLOGY 2023; 3:1168901. [PMID: 37731600 PMCID: PMC10507354 DOI: 10.3389/fradi.2023.1168901] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 08/24/2023] [Indexed: 09/22/2023]
Abstract
Introduction Dynamic contrast-enhanced (DCE) MRI has important clinical value for early detection, accurate staging, and therapeutic monitoring of cancers. However, conventional multi-phasic abdominal DCE-MRI has limited temporal resolution and provides qualitative or semi-quantitative assessments of tissue vascularity. In this study, the feasibility of retrospectively quantifying multi-phasic abdominal DCE-MRI by using pharmacokinetics-informed deep learning to improve temporal resolution was investigated. Method Forty-five subjects consisting of healthy controls, pancreatic ductal adenocarcinoma (PDAC), and chronic pancreatitis (CP) were imaged with a 2-s temporal-resolution quantitative DCE sequence, from which 30-s temporal-resolution multi-phasic DCE-MRI was synthesized based on clinical protocol. A pharmacokinetics-informed neural network was trained to improve the temporal resolution of the multi-phasic DCE before the quantification of pharmacokinetic parameters. Through ten-fold cross-validation, the agreement between pharmacokinetic parameters estimated from synthesized multi-phasic DCE after deep learning inference was assessed against reference parameters from the corresponding quantitative DCE-MRI images. The ability of the deep learning estimated parameters to differentiate abnormal from normal tissues was assessed as well. Results The pharmacokinetic parameters estimated after deep learning have a high level of agreement with the reference values. In the cross-validation, all three pharmacokinetic parameters (transfer constant K trans , fractional extravascular extracellular volume v e , and rate constant k ep ) achieved intraclass correlation coefficient and R2 between 0.84-0.94, and low coefficients of variation (10.1%, 12.3%, and 5.6%, respectively) relative to the reference values. Significant differences were found between healthy pancreas, PDAC tumor and non-tumor, and CP pancreas. Discussion Retrospective quantification (RoQ) of clinical multi-phasic DCE-MRI is possible by deep learning. This technique has the potential to derive quantitative pharmacokinetic parameters from clinical multi-phasic DCE data for a more objective and precise assessment of cancer.
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Affiliation(s)
- Chaowei Wu
- 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
| | - Nan Wang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
- Radiology Department, Stanford University, Stanford, CA, United States
| | - Srinivas Gaddam
- Division of Digestive and Liver Diseases, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Lixia Wang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Hui Han
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Kyunghyun Sung
- Department of Radiological Sciences, 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
| | - Yibin Xie
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Stephen Pandol
- Division of Digestive and Liver Diseases, 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
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Basiak M, Hachula M, Kosowski M, Machnik G, Maliglowka M, Dziubinska-Basiak M, Krysiak R, Okopien B. The Effect of PCSK9 Inhibition on the Stabilization of Atherosclerotic Plaque Determined by Biochemical and Diagnostic Imaging Methods. Molecules 2023; 28:5928. [PMID: 37570897 PMCID: PMC10421011 DOI: 10.3390/molecules28155928] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/21/2023] [Accepted: 07/31/2023] [Indexed: 08/13/2023] Open
Abstract
Atherosclerosis is a multifactorial, progressive, chronic inflammatory disease. Ultrasound and magnetic resonance imaging are the most accurate predictors of atherosclerotic plaque instability (MRI). Cytokines such as osteopontin, osteoprotegerin, and metalloproteinase 9 could be used as the most recent markers to identify and track the efficacy of anti-atherosclerotic therapy. Patients with USG and MRI-verified unstable atherosclerotic plaque were included in the study. Biomarker concentrations were measured and compared before and after PCSK9 inhibitor therapy. Additionally, concentrations prior to treatment were correlated with MRI images of the carotid artery. After treatment with alirocumab, the concentrations of MMP-9 (p < 0.01) and OPN, OPG (p < 0.05) decreased significantly. Furthermore, the results of OPN, OPG, and MMP 9 varied significantly depending on the type of atherosclerotic plaque in the MRI assay. In stable atherosclerotic plaques, the concentrations of OPN and OPG were greater (p < 0.01), whereas the concentration of MMP9 correlated with the instability of the plaque (p < 0.05). We demonstrated, probably for the first time, that alirocumab therapy significantly decreased the serum concentration of atherosclerotic plaque markers. In addition, we demonstrated the relationship between the type of atherosclerotic plaque as determined by carotid MRI and the concentration of these markers.
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Affiliation(s)
- Marcin Basiak
- Department of Internal Medicine and Clinical Pharmacology, Medical University of Silesia, Medyków 18, 40-752 Katowice, Poland
| | - Marcin Hachula
- Department of Internal Medicine and Clinical Pharmacology, Medical University of Silesia, Medyków 18, 40-752 Katowice, Poland
| | - Michal Kosowski
- Department of Internal Medicine and Clinical Pharmacology, Medical University of Silesia, Medyków 18, 40-752 Katowice, Poland
| | - Grzegorz Machnik
- Department of Internal Medicine and Clinical Pharmacology, Medical University of Silesia, Medyków 18, 40-752 Katowice, Poland
| | - Mateusz Maliglowka
- Department of Internal Medicine and Clinical Pharmacology, Medical University of Silesia, Medyków 18, 40-752 Katowice, Poland
| | | | - Robert Krysiak
- Department of Internal Medicine and Clinical Pharmacology, Medical University of Silesia, Medyków 18, 40-752 Katowice, Poland
| | - Boguslaw Okopien
- Department of Internal Medicine and Clinical Pharmacology, Medical University of Silesia, Medyków 18, 40-752 Katowice, Poland
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Figtree GA, Adamson PD, Antoniades C, Blumenthal RS, Blaha M, Budoff M, Celermajer DS, Chan MY, Chow CK, Dey D, Dwivedi G, Giannotti N, Grieve SM, Hamilton-Craig C, Kingwell BA, Kovacic JC, Min JK, Newby DE, Patel S, Peter K, Psaltis PJ, Vernon ST, Wong DT, Nicholls SJ. Noninvasive Plaque Imaging to Accelerate Coronary Artery Disease Drug Development. Circulation 2022; 146:1712-1727. [PMID: 36441819 DOI: 10.1161/circulationaha.122.060308] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 08/29/2022] [Indexed: 11/30/2022]
Abstract
Coronary artery disease (CAD) remains the leading cause of adult mortality globally. Targeting known modifiable risk factors has had substantial benefit, but there remains a need for new approaches. Improvements in invasive and noninvasive imaging techniques have enabled an increasing recognition of distinct quantitative phenotypes of coronary atherosclerosis that are prognostically relevant. There are marked differences in plaque phenotype, from the high-risk, lipid-rich, thin-capped atheroma to the low-risk, quiescent, eccentric, nonobstructive calcified plaque. Such distinct phenotypes reflect different pathophysiologic pathways and are associated with different risks for acute ischemic events. Noninvasive coronary imaging techniques, such as computed tomography, positron emission tomography, and coronary magnetic resonance imaging, have major potential to accelerate cardiovascular drug development, which has been affected by the high costs and protracted timelines of cardiovascular outcome trials. This may be achieved through enrichment of high-risk phenotypes with higher event rates or as primary end points of drug efficacy, at least in phase 2 trials, in a manner historically performed through intravascular coronary imaging studies. Herein, we provide a comprehensive review of the current technology available and its application in clinical trials, including implications for sample size requirements, as well as potential limitations. In its effort to accelerate drug development, the US Food and Drug Administration has approved surrogate end points for 120 conditions, but not for CAD. There are robust data showing the beneficial effects of drugs, including statins, on CAD progression and plaque stabilization in a manner that correlates with established clinical end points of mortality and major adverse cardiovascular events. This, together with a clear mechanistic rationale for using imaging as a surrogate CAD end point, makes it timely for CAD imaging end points to be considered. We discuss the importance of global consensus on these imaging end points and protocols and partnership with regulatory bodies to build a more informed, sustainable staged pathway for novel therapies.
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Affiliation(s)
- Gemma A Figtree
- Kolling Institute of Medical Research, Sydney, Australia (G.A.F., S.T.V.)
- Department of Cardiology, Royal North Shore Hospital, Northern Sydney Local Health District, Australia (G.A.F., S.T.V.)
- Charles Perkins Centre (G.A.F., C.K.C.), University of Sydney, Australia
- Faculty of Medicine and Health (G.A.F., D.S.C., N.G., S.P., S.T.V.), University of Sydney, Australia
| | - Philip D Adamson
- Christchurch Heart Institute, University of Otago Christchurch, New Zealand (P.D.A.)
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (P.D.A., D.E.N.)
| | - Charalambos Antoniades
- Acute Vascular Imaging Centre (C.A.), Radcliffe Department of Medicine, University of Oxford, UK
- Division of Cardiovascular Medicine (C.A.), Radcliffe Department of Medicine, University of Oxford, UK
| | - Roger S Blumenthal
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD (R.S.B., M. Blaha)
| | - Michael Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD (R.S.B., M. Blaha)
| | | | - David S Celermajer
- Faculty of Medicine and Health (G.A.F., D.S.C., N.G., S.P., S.T.V.), University of Sydney, Australia
- Departments of Cardiology (D.S.C., S.P.), Royal Prince Alfred Hospital, Sydney, Australia
| | - Mark Y Chan
- Department of Cardiology, National University Heart Centre, Singapore (M.Y.C.)
| | - Clara K Chow
- Westmead Applied Research Centre (C.K.C.), University of Sydney, Australia
- Charles Perkins Centre (G.A.F., C.K.C.), University of Sydney, Australia
| | - Damini Dey
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA (D.D.)
| | - Girish Dwivedi
- Harry Perkins Institute of Medical Research, University of Western Australia (G.D.)
- Department of Cardiology, Fiona Stanley Hospital, Perth, Australia (G.D.)
| | - Nicola Giannotti
- Faculty of Medicine and Health (G.A.F., D.S.C., N.G., S.P., S.T.V.), University of Sydney, Australia
| | - Stuart M Grieve
- Imaging and Phenotyping Laboratory (S.M.G.), University of Sydney, Australia
- Radiology (S.M.G.), Royal Prince Alfred Hospital, Sydney, Australia
| | - Christian Hamilton-Craig
- Faculty of Medicine and Centre for Advanced Imaging, University of Queensland and School of Medicine, Griffith University Sunshine Coast, Australia (C.H.-C.)
| | | | - Jason C Kovacic
- Victor Chang Cardiac Research Institute, Darlinghurst, Australia (J.C.K.)
- St Vincent's Clinical School, University of NSW, Australia (J.C.K.)
- Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY (J.C.K.)
| | | | - David E Newby
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (P.D.A., D.E.N.)
| | - Sanjay Patel
- Faculty of Medicine and Health (G.A.F., D.S.C., N.G., S.P., S.T.V.), University of Sydney, Australia
- Departments of Cardiology (D.S.C., S.P.), Royal Prince Alfred Hospital, Sydney, Australia
| | - Karlheinz Peter
- Baker Heart and Diabetes Institute, Melbourne, Australia (K.P.)
- Department of Cardiology, The Alfred Hospital, Melbourne, Australia (K.P.)
| | - Peter J Psaltis
- Lifelong Health, South Australian Health and Medical Research Institute, Adelaide (P.J.P.)
- Department of Cardiology, Royal Adelaide Hospital, Australia (P.J.P.)
| | - Stephen T Vernon
- Kolling Institute of Medical Research, Sydney, Australia (G.A.F., S.T.V.)
- Department of Cardiology, Royal North Shore Hospital, Northern Sydney Local Health District, Australia (G.A.F., S.T.V.)
- Faculty of Medicine and Health (G.A.F., D.S.C., N.G., S.P., S.T.V.), University of Sydney, Australia
| | - Dennis T Wong
- Monash Heart, Clayton, Australia (D.T.W., S.J.N.)
- Victorian Heart Institute, Monash University, Melbourne, Australia (D.T.W., S.J.N.)
| | - Stephen J Nicholls
- Monash Heart, Clayton, Australia (D.T.W., S.J.N.)
- Victorian Heart Institute, Monash University, Melbourne, Australia (D.T.W., S.J.N.)
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5
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Wurster TH, Landmesser U, Abdelwahed YS, Skurk C, Morguet A, Leistner DM, Fröhlich G, Haghikia A, Engel LC, Schuster A, Noutsias M, Schulze D, Hamm B, Furth C, Brenner W, Botnar RM, Bigalke B, Makowski MR. Simultaneous [18F]fluoride and gadobutrol enhanced coronary positron emission tomography/magnetic resonance imaging for in vivo plaque characterization. Eur Heart J Cardiovasc Imaging 2022; 23:1391-1398. [PMID: 35015852 DOI: 10.1093/ehjci/jeab276] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Accepted: 12/13/2021] [Indexed: 01/25/2023] Open
Abstract
AIMS 18F-sodium fluoride ([18F]fluoride) and gadobutrol are promising probes for positron emission tomography (PET) and magnetic resonance imaging (MRI) characterizing coronary artery disease (CAD) activity. Unlike [18F]fluoride-PET/computed tomography (CT), the potential of PET/MR using [18F]fluoride and gadobutrol simultaneously, has so far not been evaluated. This study assessed feasibility and diagnostic potential of [18F]fluoride and gadobutrol enhanced dual-probe PET/MR in patients with CAD. METHODS AND RESULTS Twenty-one patients (age, 66.7 ± 6.7 years) with CAD scheduled for invasive coronary angiography (XCA) underwent simultaneous [18F]fluoride (mean activity/effective dose: 157.2 ± 29.7 MBq/3.77 ± 0.72 mSv) and gadobutrol enhanced PET/MR on an integrated PET/MRI (3 T) scanner. Optical coherence tomography (OCT) was used as reference. Target-to-background ratio (TBR, [18F]fluoride-PET) and contrast-to-noise ratio (CNR) values (MRI, gadobutrol) were calculated for each coronary segment. Previously suggested PET/CT-TBR thresholds for adverse coronary events were evaluated. High-risk plaques, i.e. calcified and non-calcified thin-cap fibroatheromas (TCFAs) were predominantly located in segments with a TBR >1.28 (P = 0.012). Plaques containing a lipid core on OCT, were more frequently detected in segments with a TBR >1.25 (P < 0.001). TBR values significantly correlated with maximum calcification thickness (P = 0.009), while fibrous cap thickness was significantly less in segments with a TBR >1.28 (P = 0.044). Above a TBR threshold of >1.28, CNR values significantly correlated with the presence of calcified TCFAs (P = 0.032). CONCLUSION Simultaneous [18F]fluoride and gadobutrol dual-probe PET/MRI is feasible in clinical practice and may facilitate the identification of high-risk patients. The combination of coronary MR-derived CNR values post gadobutrol and [18F]fluoride based TBR values may improve identification of high-risk plaque features.
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Affiliation(s)
- Thomas H Wurster
- Department of Cardiology, University Heart Center Berlin and Charité-Universitätsmedizin Berlin, Campus Benjamin-Franklin (CBF), Hindenburgdamm 30, Berlin D-12203, Germany
- Berlin Institute of Health (BIH), Berlin 10117, Germany
| | - Ulf Landmesser
- Department of Cardiology, University Heart Center Berlin and Charité-Universitätsmedizin Berlin, Campus Benjamin-Franklin (CBF), Hindenburgdamm 30, Berlin D-12203, Germany
- Berlin Institute of Health (BIH), Berlin 10117, Germany
- DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, Berlin 12203, Germany
| | - Youssef S Abdelwahed
- Department of Cardiology, University Heart Center Berlin and Charité-Universitätsmedizin Berlin, Campus Benjamin-Franklin (CBF), Hindenburgdamm 30, Berlin D-12203, Germany
- Berlin Institute of Health (BIH), Berlin 10117, Germany
- DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, Berlin 12203, Germany
| | - Carsten Skurk
- Department of Cardiology, University Heart Center Berlin and Charité-Universitätsmedizin Berlin, Campus Benjamin-Franklin (CBF), Hindenburgdamm 30, Berlin D-12203, Germany
- DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, Berlin 12203, Germany
| | - Andreas Morguet
- Department of Cardiology, University Heart Center Berlin and Charité-Universitätsmedizin Berlin, Campus Benjamin-Franklin (CBF), Hindenburgdamm 30, Berlin D-12203, Germany
| | - David M Leistner
- Department of Cardiology, University Heart Center Berlin and Charité-Universitätsmedizin Berlin, Campus Benjamin-Franklin (CBF), Hindenburgdamm 30, Berlin D-12203, Germany
- Berlin Institute of Health (BIH), Berlin 10117, Germany
- DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, Berlin 12203, Germany
| | - Georg Fröhlich
- Department of Cardiology, University Heart Center Berlin and Charité-Universitätsmedizin Berlin, Campus Benjamin-Franklin (CBF), Hindenburgdamm 30, Berlin D-12203, Germany
- DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, Berlin 12203, Germany
| | - Arash Haghikia
- Department of Cardiology, University Heart Center Berlin and Charité-Universitätsmedizin Berlin, Campus Benjamin-Franklin (CBF), Hindenburgdamm 30, Berlin D-12203, Germany
- Berlin Institute of Health (BIH), Berlin 10117, Germany
- DZHK (German Centre for Cardiovascular Research) Partner Site Berlin, Berlin 12203, Germany
| | - Leif Christopher Engel
- Department of Cardiology, University Heart Center Berlin and Charité-Universitätsmedizin Berlin, Campus Benjamin-Franklin (CBF), Hindenburgdamm 30, Berlin D-12203, Germany
- Berlin Institute of Health (BIH), Berlin 10117, Germany
- Department of Cardiology, Deutsches Herzzentrum München/German Heart Center Munich, Munich, Germany
| | - Andreas Schuster
- Department of Cardiology and Pulmonology, Georg-August-University, Göttingen, Germany
- Department of Cardiology and Pulmonology, German Centre for Cardiovascular Research (DZHK Partner Site), Göttingen, Germany
| | - Michel Noutsias
- Division of Cardiology, Angiology and Intensive Medical Care, Department of Internal Medicine III (KIM-III), Mid-German Heart Center, University Hospital Halle, Martin-Luther-University Halle, Halle, Germany
| | - Daniel Schulze
- Charité - Universitätsmedizin Berlin, Institute of biometrics and clinical epidemiology, Charitéplatz 1, 10117 Berlin
| | - Bernd Hamm
- Department of Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Christian Furth
- Berlin Institute of Health (BIH), Berlin 10117, Germany
- Department of Nuclear Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Winfried Brenner
- Department of Nuclear Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Rene M Botnar
- King's College London, School of Biomedical Engineering and Imaging Sciences, London, UK
- Pontificia Universidad Católica de Chile, Escuela de Ingeniería, Santiago, Chile
| | - Boris Bigalke
- Department of Cardiology, University Heart Center Berlin and Charité-Universitätsmedizin Berlin, Campus Benjamin-Franklin (CBF), Hindenburgdamm 30, Berlin D-12203, Germany
| | - Marcus R Makowski
- Department of Radiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Department of Radiology, Klinikum Rechts der Isar, Technische Universität München, München, Germany
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6
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Yu Z, Bu G. Attenuating oxidized low density lipoprotein (ox-LDL)-induced macrophages damage via inhibiting C-type lectin domain family 2 (CLEC2) expression through janus kinase 1 (JAK1)/ signal transducers and activators of transcription-1 (STAT1) pathway. Bioengineered 2022; 13:6440-6449. [PMID: 35486473 PMCID: PMC9208519 DOI: 10.1080/21655979.2022.2044253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Our study aimed to explore the effect of C-type lectin-like receptor 2 (CLEC2) expression level on oxidized low-density lipoprotein (ox-LDL)-induced macrophage damage and the regulatory mechanism of macrophage foaming. Foam cells were derived from RAW264.7 by ox-LDL, and the cell viability was detected by cell counting kit-8 (CCK-8) assay. Enzyme-linked immunosorbent assay (ELISA) was applied to detect the levels of inflammatory cytokines tumor necrosis factor (TNF-α), Interleukin-6 (IL-6), and Interleulin-1β (IL-1β). Small interfering CLEC2 (si-CLEC2) was synthesized and transfected into RAW264.7, and the apoptosis rate was analyzed by flow cytometry. Western blotting was employed to detect the protein expressions of Janus kinase 1 (JAK1), Signal
transducers
and
activators of
transcription-1 (STAT1), phosphorylation-JAK1 (p-JAK1), phosphorylation-STAT1 (p-STAT1), CLEC2, and the apoptosis-related proteins. The levels of total cholesterol (TC) and free cholesterol (FC) were measured using colorimetric kits. Results showed that ox-LDL could activate the JAK1/STAT1 pathway of macrophages and up-regulate the expression of CLEC2. CLEC2 knockdown could reduce macrophage inflammation and lipid accumulation. Inactivating JAK1/STAT1 pathway with JAK1 inhibitor can significantly reduce the phosphorylation of STAT1 and alleviate the ox-LDL-induced damage in macrophages by regulating the expression of CLEC2. In conclusion, targeting JAK1/STAT1 to inhibit CLEC2 can attenuate ox-LDL-induced macrophage damage. This study enriched the pathogenesis of atherosclerosis and provided the possible treatment targets.
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Affiliation(s)
- Zhi Yu
- Department of Vascular Surgery, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Gang Bu
- Department of Cardiology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
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7
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Matsumoto K, Yokota H, Yoda T, Ebata R, Mukai H, Masuda Y, Uno T. Reproducibility between three-dimensional turbo spin-echo and two-dimensional dual inversion recovery turbo spin-echo for coronary vessel wall imaging in Kawasaki disease. Sci Rep 2022; 12:6835. [PMID: 35478214 PMCID: PMC9046194 DOI: 10.1038/s41598-022-10951-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 04/11/2022] [Indexed: 12/02/2022] Open
Abstract
Magnetic resonance vessel wall imaging is desirable for evaluating Kawasaki disease (KD)-associated coronary arterial lesions. To evaluate the reproducibility of three-dimensional turbo spin-echo (3D-TSE) and two-dimensional dual inversion-recovery turbo spin-echo (2D-DIR-TSE) for coronary vessel wall imaging in KD. Ten patients were prospectively enrolled. Coronary vessel wall imaging with axial-slice orientation 3D-TSE and 2D-DIR-TSE were acquired for cross-sectional images in aneurysmal and normal regions. Lumen area (LA), wall area (WA), and normalized wall index (NWI) of cross-sectional images were measured in both regions. Reproducibility between 3D-TSE and 2D-DIR-TSE was evaluated via intraclass correlation coefficients (ICCs) and Bland–Altman plots. 48 points (aneurysmal, 27; normal, 21) were evaluated. There were high ICCs between 3D-TSE and 2D-DIR-TSE in LA (0.95) and WA (0.95). In aneurysmal regions, 95% limits of agreement were LA, WA, and NWI of − 29.9 to 30.4 mm2, − 18.8 to 15.0 mm2, and − 0.22 to 0.20, respectively. In normal regions, the 95% limits of agreement were LA, WA, and NWI of − 4.44 to 4.38 mm2, − 3.51 to 4.30 mm2, and − 0.14 to 0.16, respectively. No fixed and proportional biases between 3D-TSE and 2D-DIR-TSE images in aneurysmal and normal regions were noted. 3D-TSE was reproducible with conventional 2D-DIR-TSE for coronary vessel wall assessment on KD.
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Affiliation(s)
- Koji Matsumoto
- Department of Radiology, Chiba University Hospital, 1-8-1, Inohana, Chuo-ku, Chiba, Japan.
| | - Hajime Yokota
- Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Takafumi Yoda
- Department of Radiology, Chiba University Hospital, 1-8-1, Inohana, Chuo-ku, Chiba, Japan
| | - Ryota Ebata
- Department of Pediatrics, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Hiroki Mukai
- Department of Radiology, Chiba University Hospital, 1-8-1, Inohana, Chuo-ku, Chiba, Japan
| | - Yoshitada Masuda
- Department of Radiology, Chiba University Hospital, 1-8-1, Inohana, Chuo-ku, Chiba, Japan
| | - Takashi Uno
- Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
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8
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Henningsson M, Malik S, Botnar R, Castellanos D, Hussain T, Leiner T. Black-Blood Contrast in Cardiovascular MRI. J Magn Reson Imaging 2020; 55:61-80. [PMID: 33078512 PMCID: PMC9292502 DOI: 10.1002/jmri.27399] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 09/22/2020] [Accepted: 09/23/2020] [Indexed: 12/14/2022] Open
Abstract
MRI is a versatile technique that offers many different options for tissue contrast, including suppressing the blood signal, so‐called black‐blood contrast. This contrast mechanism is extremely useful to visualize the vessel wall with high conspicuity or for characterization of tissue adjacent to the blood pool. In this review we cover the physics of black‐blood contrast and different techniques to achieve blood suppression, from methods intrinsic to the imaging readout to magnetization preparation pulses that can be combined with arbitrary readouts, including flow‐dependent and flow‐independent techniques. We emphasize the technical challenges of black‐blood contrast that can depend on flow and motion conditions, additional contrast weighting mechanisms (T1, T2, etc.), magnetic properties of the tissue, and spatial coverage. Finally, we describe specific implementations of black‐blood contrast for different vascular beds.
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Affiliation(s)
- Markus Henningsson
- Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.,School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Shaihan Malik
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Rene Botnar
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Daniel Castellanos
- Division of Pediatric Cardiology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Tarique Hussain
- Division of Pediatric Cardiology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Division of Pediatric Radiology, Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Tim Leiner
- Department of Radiology, Utrecht University Medical Center, Utrecht, The Netherlands
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9
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Automated detection of superficial macrophages in atherosclerotic plaques using autofluorescence lifetime imaging. Atherosclerosis 2019; 285:120-127. [PMID: 31051415 DOI: 10.1016/j.atherosclerosis.2019.04.223] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 04/08/2019] [Accepted: 04/16/2019] [Indexed: 01/08/2023]
Abstract
BACKGROUND AND AIMS Macrophages play an important role in the development and destabilization of advanced atherosclerotic plaques. Hence, the clinical imaging of macrophage content in advanced plaques could potentially aid in identifying patients most at risk of future clinical events. The lifetime of the autofluorescence emission from atherosclerotic plaques has been correlated with lipids and macrophage accumulation in ex vivo human coronary arteries, suggesting the potential of intravascular endogenous fluorescence or autofluorescence lifetime imaging (FLIM) for macrophage imaging. The aim of this study was to quantify the accuracy of the coronary intima autofluorescence lifetime to detect superficial macrophage accumulation in atherosclerotic plaques. METHODS Endogenous FLIM imaging was performed on 80 fresh postmortem coronary segments from 23 subjects. The plaque autofluorescence lifetime at an emission spectral band of 494 ± 20.5 nm was used as a discriminatory feature to detect superficial macrophage accumulation in atherosclerotic plaques. Detection of superficial macrophage accumulation in the imaged coronary segments based on immunohistochemistry (CD68 staining) evaluation was taken as the gold standard. Receiver Operating Characteristic (ROC) curve analysis was applied to select an autofluorescence lifetime threshold value to detect superficial macrophages accumulation. RESULTS A threshold of 6 ns in the plaque autofluorescence lifetime at the emission spectral band of 494 ± 20.5 nm was applied to detect plaque superficial macrophages accumulation, resulting in ∼91.5% accuracy. CONCLUSIONS This study demonstrates the capability of endogenous FLIM imaging to accurately identify superficial macrophages accumulation in human atherosclerotic plaques, a key biomarker of atherosclerotic plaque vulnerability.
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10
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Coronary Vessel Wall Imaging: State of the Art and Future Directions. CURRENT CARDIOVASCULAR IMAGING REPORTS 2019. [DOI: 10.1007/s12410-019-9493-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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11
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Chen L, Zhan Q, Peng W, Song T, Liu Q, Lu J. Comparison of two different measurement methods in evaluating basilar atherosclerotic plaque using high-resolution MRI at 3 tesla. BMC Med Imaging 2018; 18:49. [PMID: 30509197 PMCID: PMC6276224 DOI: 10.1186/s12880-018-0293-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Accepted: 11/16/2018] [Indexed: 02/06/2023] Open
Abstract
Background To compare the Self-referenced and Referenced measurement methods in assessing basilar artery (BA) atherosclerotic plaque employing dark blood high-resolution MRI at 3 Tesla. Methods Forty patients with > 20% stenosis as identified by conventional MRA were recruited and evaluated on a 3 Tesla MRI system. The outer wall, inner wall and lumen areas of maximal lumen narrowing site and the outer wall and lumen areas of sites that were proximal and distal to the maximal lumen narrowing site were manually traced. Plaque area (PA), stenosis rate (SR) and percent plaque burden (PPB) were calculated using the Self-referenced and Referenced measurement methods, respectively. To assess intra-observer reproducibility, BA plaque was measured twice with a 2-week interval in between measurements. Results Thirty-seven patients were included in the final analysis. There were no significant differences in PA, SR and PPB measurements between the two methods. The intra-class coefficients and coefficient of variations (CV) ranged from 0.976 to 0.990 and from 3.73 to 5.61% for the Self-referenced method and ranged from 0.928 to 0.971 and from 4.64 to 9.95% for the Referenced method, respectively. Both methods are effective in the evaluation of BA plaque. However, the CVs of the Self-referenced method is lower than the Referenced measurement method. Moreover, Bland-Altman plots showed that the Self-referenced method has a narrower interval than the Referenced measurement method. Conclusions The Self-referenced method is better and more convenient for evaluating BA plaque, and it may serve as a promising method for evaluation of basilar atherosclerotic plaque.
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Affiliation(s)
- Luguang Chen
- Department of Radiology, Changhai Hospital of Shanghai, The Second Military Medical University, No.168 Changhai Road, Shanghai, 200433, China
| | - Qian Zhan
- Department of Radiology, Changhai Hospital of Shanghai, The Second Military Medical University, No.168 Changhai Road, Shanghai, 200433, China
| | - Wenjia Peng
- Department of Radiology, Changhai Hospital of Shanghai, The Second Military Medical University, No.168 Changhai Road, Shanghai, 200433, China
| | - Tao Song
- Department of Radiology, Changhai Hospital of Shanghai, The Second Military Medical University, No.168 Changhai Road, Shanghai, 200433, China
| | - Qi Liu
- Department of Radiology, Changhai Hospital of Shanghai, The Second Military Medical University, No.168 Changhai Road, Shanghai, 200433, China
| | - Jianping Lu
- Department of Radiology, Changhai Hospital of Shanghai, The Second Military Medical University, No.168 Changhai Road, Shanghai, 200433, China.
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12
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von zur Mühlen C, Reiss S, Krafft AJ, Besch L, Menza M, Zehender M, Heidt T, Maier A, Pfannebecker T, Zirlik A, Reinöhl J, Stachon P, Hilgendorf I, Wolf D, Diehl P, Wengenmayer T, Ahrens I, Bode C, Bock M. Coronary magnetic resonance imaging after routine implantation of bioresorbable vascular scaffolds allows non-invasive evaluation of vascular patency. PLoS One 2018; 13:e0191413. [PMID: 29370208 PMCID: PMC5784929 DOI: 10.1371/journal.pone.0191413] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2017] [Accepted: 01/04/2018] [Indexed: 12/17/2022] Open
Abstract
Background Evaluation of recurrent angina after percutaneous coronary interventions is challenging. Since bioresorbable vascular scaffolds (BVS) cause no artefacts in magnetic resonance imaging (MRI) due to their polylactate-based backbone, evaluation of vascular patency by MRI might allow for non-invasive assessment and triage of patients with suspected BVS failure. Methods Patients with polylactate-based ABSORB-BVS in proximal coronary segments were examined with 3 Tesla MRI directly (baseline) and one year after implantation. For assessment of coronary patency, a high-resolution 3D spoiled gradient echo pulse sequence with fat-saturation, T2-preparation (TE: 40 ms), respiratory and end-diastolic cardiac gating, and a spatial resolution of (1.08 mm)3 was positioned parallel to the course of the vessel for bright blood imaging. In addition, a 3D navigator-gated T2-weighted variable flip angle turbo spin echo (TSE) sequence with dual-inversion recovery black-blood preparation and elliptical k-space coverage was applied with a voxel size of (1.14 mm)3. For quantitative evaluation lumen diameters of the scaffolded areas were measured in reformatted bright and black blood MR angiography data. Results 11 patients with implantation of 16 BVS in the proximal coronary segments were included, of which none suffered from major adverse cardiac events during the one year follow up. Vascular patency in all segments implanted with BVS could be reliably assessed by MRI at baseline and after one year, whereas segments with metal stents could not be evaluated due to artefacts. Luminal diameter within the BVS remained constant during the one year period. One patient with atypical angina after BVS implantation was noninvasively evaluated showing a patent vessel, also confirmed by coronary angiography. Conclusions Coronary MRI allows contrast-agent free and non-invasive assessment of vascular patency after ABSORB-BVS implantation. This approach might be supportive in the triage and improvement of diagnostic workflows in patients with postinterventional angina and scaffold implantation. Trial registration German Register of Clinical Studies DRKS00007456
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Affiliation(s)
- Constantin von zur Mühlen
- Department of Cardiology and Angiology I, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- * E-mail:
| | - Simon Reiss
- Department of Radiology–Medical Physics, University Medical Center Freiburg, Freiburg, Germany
| | - Axel J. Krafft
- Department of Radiology–Medical Physics, University Medical Center Freiburg, Freiburg, Germany
| | - Lisa Besch
- Department of Cardiology and Angiology I, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Marius Menza
- Department of Radiology–Medical Physics, University Medical Center Freiburg, Freiburg, Germany
| | - Manfred Zehender
- Department of Cardiology and Angiology I, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Timo Heidt
- Department of Cardiology and Angiology I, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Alexander Maier
- Department of Cardiology and Angiology I, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | | | - Andreas Zirlik
- Department of Cardiology and Angiology I, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jochen Reinöhl
- Department of Cardiology and Angiology I, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Peter Stachon
- Department of Cardiology and Angiology I, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Ingo Hilgendorf
- Department of Cardiology and Angiology I, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Dennis Wolf
- Department of Cardiology and Angiology I, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Philipp Diehl
- Department of Cardiology and Angiology I, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Tobias Wengenmayer
- Department of Cardiology and Angiology I, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Ingo Ahrens
- Department of Cardiology and Angiology I, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christoph Bode
- Department of Cardiology and Angiology I, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Michael Bock
- Department of Cardiology and Angiology I, Heart Center Freiburg University, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Department of Radiology–Medical Physics, University Medical Center Freiburg, Freiburg, Germany
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13
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Adams L, Noutsias M, Bigalke B, Makowski MR. Magnetic resonance imaging in heart failure, including coronary imaging: numbers, facts, and challenges. ESC Heart Fail 2017; 5:3-8. [PMID: 29160621 PMCID: PMC5793958 DOI: 10.1002/ehf2.12236] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Accepted: 10/11/2017] [Indexed: 12/14/2022] Open
Abstract
Coronary artery disease (CAD) is a major risk factor for the incidence and progression of heart failure (HF). HF is characterized by a substantial morbidity and mortality and its lifetime risk is estimated at approximately 20% for men and women. As patients are in most cases identified only after developing overt clinical symptoms, detecting early stages of CAD and HF is of paramount importance. Due to its non‐invasiveness, excellent soft‐tissue contrast, high spatial resolution, and multiparametric nature, cardiovascular magnetic resonance (CMR) imaging has emerged as a promising radiation‐free technique to assess a wide range of cardiovascular diseases such as CAD or HF, enabling a comprehensive evaluation of myocardial anatomy, regional and global function, and viability with the additional benefit of in vivo tissue characterization. CMR has the potential to enhance our understanding of coronary atherosclerosis and the aetiology of HF on functional and biological levels, to identify patients at risk for CAD or HF, and to enable individualized patient management and improved outcomes. Even though larger‐scale studies on the different applications of CMR for the assessment of heart failure are scarce, recent research highlighted new possible clinical applications for CMR in the evaluation of CAD and HF.
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Affiliation(s)
- Lisa Adams
- Klinik für Radiologie, Charité - Universitätsmedizin Berlin, Campus Mitte, Charitéplatz 1, D -10117, Berlin, Germany
| | - Michel Noutsias
- Department of Internal Medicine I, Division of Cardiology, Pneumology, Angiology and Intensive Medical Care, University Hospital Jena, Friedrich Schiller University Jena, Jena, Germany
| | - Boris Bigalke
- Klinik für Kardiologie, Charité - Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - Marcus R Makowski
- Klinik für Radiologie, Charité - Universitätsmedizin Berlin, Campus Mitte, Charitéplatz 1, D -10117, Berlin, Germany.,Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
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14
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Can PET/MR Imaging Assess Coronary Artery Plaque Biology? JACC Cardiovasc Imaging 2017; 10:1113-1115. [DOI: 10.1016/j.jcmg.2016.12.032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Accepted: 12/15/2016] [Indexed: 10/18/2022]
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15
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16
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Pareek N, Serruys P, de Silva R. Shedding light on inflammation. Eur Heart J Cardiovasc Imaging 2017; 18:519-520. [DOI: 10.1093/ehjci/jew297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Nilesh Pareek
- Royal Brompton and Harefield NHS Foundation Trust, London, UK
| | - Patrick Serruys
- National Heart and Lung Institute, Imperial College, London, UK
| | - Ranil de Silva
- Royal Brompton and Harefield NHS Foundation Trust, London, UK
- National Heart and Lung Institute, Imperial College, London, UK
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17
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Farhan Khan M, Brackett D, Ashcroft I, Tuck C, Wildman R. A Novel Approach to Design Lesion-Specific Stents for Minimum Recoil. J Med Device 2016. [DOI: 10.1115/1.4034880] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Stent geometries are obtained by topology optimization for minimized compliance under different stenosis levels and plaque material types. Three levels of stenosis by cross-sectional area, i.e., 30%, 40%, and 50% and three different plaque material properties, i.e., calcified, cellular, and hypocellular, were studied. The raw optimization results were converted to clear design concepts and their performance was evaluated by implanting them in their respective stenosed artery types using finite element analysis. The results were compared with a generic stent in similar arteries, which showed that the new designs showed less recoil. This work provides a concept that stents could be tailored to specific lesions in order to minimize recoil and maintain a patent lumen in stenotic arteries.
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Affiliation(s)
- Muhammad Farhan Khan
- Mem. ASME Department of Mechanical, Materials and Manufacturing Engineering, Faculty of Engineering, University of Nottingham, University Park, Nottingham NG72RD, UK e-mail:
| | - David Brackett
- Department of Mechanical, Materials and Manufacturing Engineering, Faculty of Engineering, University of Nottingham, University Park, Nottingham NG72RD, UK e-mail:
| | - Ian Ashcroft
- Professor Department of Mechanical, Materials and Manufacturing Engineering, Faculty of Engineering, University of Nottingham, University Park, Nottingham NG72RD, UK e-mail:
| | - Christopher Tuck
- Professor Department of Mechanical, Materials and Manufacturing Engineering, Faculty of Engineering, University of Nottingham, University Park, Nottingham NG72RD, UK e-mail:
| | - Ricky Wildman
- Professor Department of Chemical and Environmental Engineering, Faculty of Engineering, University of Nottingham, University Park, Nottingham NG72RD, UK e-mail:
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18
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Makowski MR, Jansen CHP, Ebersberger U, Schaeffter T, Razavi R, Mangino M, Spector TD, Botnar RM, Greil GF. Influence of acquired obesity on coronary vessel wall late gadolinium enhancement in discordant monozygote twins. Eur Radiol 2016; 27:4612-4618. [PMID: 27743116 PMCID: PMC5635090 DOI: 10.1007/s00330-016-4616-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Revised: 09/09/2016] [Accepted: 09/22/2016] [Indexed: 12/01/2022]
Abstract
Objectives The aim of this study was to investigate the impact of BMI on late gadolinium enhancement (LGE) of the coronary artery wall in identical monozygous twins discordant for BMI. Coronary LGE represents a useful parameter for the detection and quantification of atherosclerotic coronary vessel wall disease. Methods Thirteen monozygote female twin pairs (n = 26) with significantly different BMIs (>1.6 kg/m2) were recruited out of >10,000 twin pairs (TwinsUK Registry). A coronary 3D-T2prep-TFE MR angiogram and 3D-IR-TFE vessel wall scan were performed prior to and following the administration of 0.2 mmol/kg of Gd-DTPA on a 1.5 T MR scanner. The number of enhancing coronary segments and contrast to noise ratios (CNRs) of the coronary wall were quantified. Results An increase in BMI was associated with an increased number of enhancing coronary segments (5.3 ± 1.5 vs. 3.5 ± 1.6, p < 0.0001) and increased coronary wall enhancement (6.1 ± 1.1 vs. 4.8 ± 0.9, p = 0.0027) compared to matched twins with lower BMI. Conclusions This study in monozygous twins indicates that acquired factors predisposing to obesity, including lifestyle and environmental factors, result in increased LGE of the coronary arteries, potentially reflecting an increase in coronary atherosclerosis in this female study population. Key points • BMI-discordant twins allow the investigation of the influence of lifestyle factors independent from genetic confounders. • Only thirteen obesity-discordant twins were identified underlining the strong genetic component of BMI. • In female twins, a BMI increase is associated with increased coronary late gadolinium enhancement. • Increased late gadolinium enhancement in the coronary vessel wall potentially reflects increased atherosclerosis. Electronic supplementary material The online version of this article (doi:10.1007/s00330-016-4616-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Marcus R Makowski
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, SE1 7EH, UK.,Wellcome Trust and EPSRC Medical Engineering Centre, London, UK.,BHF Centre of Excellence, King's College London, London, UK.,NIHR Biomedical Research Centre, King's College London, London, UK.,Department of Radiology, Charité-Universitätsmedizin, Berlin, Germany
| | - Christian H P Jansen
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, SE1 7EH, UK
| | - Ullrich Ebersberger
- Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany
| | - Tobias Schaeffter
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, SE1 7EH, UK.,Wellcome Trust and EPSRC Medical Engineering Centre, London, UK.,BHF Centre of Excellence, King's College London, London, UK.,NIHR Biomedical Research Centre, King's College London, London, UK
| | - Reza Razavi
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, SE1 7EH, UK.,Wellcome Trust and EPSRC Medical Engineering Centre, London, UK.,BHF Centre of Excellence, King's College London, London, UK.,NIHR Biomedical Research Centre, King's College London, London, UK
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.,National Institute for Health Research (NIHR) Biomedical Research Centre at Guy's and St. Thomas' Foundation Trust, London, UK
| | - Tim D Spector
- Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany
| | - Rene M Botnar
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, SE1 7EH, UK.,Wellcome Trust and EPSRC Medical Engineering Centre, London, UK.,BHF Centre of Excellence, King's College London, London, UK.,NIHR Biomedical Research Centre, King's College London, London, UK
| | - Gerald F Greil
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, SE1 7EH, UK. .,Wellcome Trust and EPSRC Medical Engineering Centre, London, UK. .,BHF Centre of Excellence, King's College London, London, UK. .,NIHR Biomedical Research Centre, King's College London, London, UK.
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19
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Pathan F, Negishi K. Prediction of cardiovascular outcomes by imaging coronary atherosclerosis. Cardiovasc Diagn Ther 2016; 6:322-39. [PMID: 27500091 DOI: 10.21037/cdt.2015.12.08] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Over the last two decades, several invasive and non-invasive coronary atherosclerosis imaging modalities have emerged as predictors of cardiovascular outcomes in at-risk population. These modalities have demonstrated independent or incremental prognostic information over existing/standard risk stratification schemes, such as the Framingham risk score (FRS), by identifying characteristics of coronary artery diseases (CADs). In this review, we begin with discussing the importance of pre-test probability and quality of outcome measure, followed by specific findings of each modality in relation to prognosis. We focused on both short and long term prognostic aspects of coronary computed tomography (CT) (including coronary calcium score and coronary angiography) and magnetic resonance imaging as non-invasive tools, as well as invasive modalities including intravascular ultrasound (IVUS), optical coherence tomography (OCT), near infrared spectroscopy and Angioscopy.
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Affiliation(s)
- Faraz Pathan
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Kazuaki Negishi
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
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20
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Abstract
Advances in atherosclerosis imaging technology and research have provided a range of diagnostic tools to characterize high-risk plaque in vivo; however, these important vascular imaging methods additionally promise great scientific and translational applications beyond this quest. When combined with conventional anatomic- and hemodynamic-based assessments of disease severity, cross-sectional multimodal imaging incorporating molecular probes and other novel noninvasive techniques can add detailed interrogation of plaque composition, activity, and overall disease burden. In the catheterization laboratory, intravascular imaging provides unparalleled access to the world beneath the plaque surface, allowing tissue characterization and measurement of cap thickness with micrometer spatial resolution. Atherosclerosis imaging captures key data that reveal snapshots into underlying biology, which can test our understanding of fundamental research questions and shape our approach toward patient management. Imaging can also be used to quantify response to therapeutic interventions and ultimately help predict cardiovascular risk. Although there are undeniable barriers to clinical translation, many of these hold-ups might soon be surpassed by rapidly evolving innovations to improve image acquisition, coregistration, motion correction, and reduce radiation exposure. This article provides a comprehensive review of current and experimental atherosclerosis imaging methods and their uses in research and potential for translation to the clinic.
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Affiliation(s)
- Jason M Tarkin
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.)
| | - Marc R Dweck
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.)
| | - Nicholas R Evans
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.)
| | - Richard A P Takx
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.)
| | - Adam J Brown
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.)
| | - Ahmed Tawakol
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.)
| | - Zahi A Fayad
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.)
| | - James H F Rudd
- From the Division of Cardiovascular Medicine, University of Cambridge, Cambridge, UK (J.M.T., A.J.B., J.H.F.R.); Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK (N.R.E.); Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom (M.R.D); Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, MA (R.A.P.T., A.T.); Imaging Sciences Laboratories, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F., M.R.D.); and Department of Cardiology, Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, NY (Z.A.F.).
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21
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Baldassarre LA, Raman SV, Min JK, Mieres JH, Gulati M, Wenger NK, Marwick TH, Bucciarelli-Ducci C, Bairey Merz CN, Itchhaporia D, Ferdinand KC, Pepine CJ, Walsh MN, Narula J, Shaw LJ. Noninvasive Imaging to Evaluate Women With Stable Ischemic Heart Disease. JACC Cardiovasc Imaging 2016; 9:421-35. [PMID: 27056162 PMCID: PMC5486953 DOI: 10.1016/j.jcmg.2016.01.004] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 01/20/2016] [Accepted: 01/21/2016] [Indexed: 12/18/2022]
Abstract
Declines in cardiovascular deaths have been dramatic for men but occur significantly less in women. Among patients with symptomatic ischemic heart disease (IHD), women experience relatively worse outcomes compared with their male counterparts. Evidence to date has failed to adequately explore unique female imaging targets and their correlative signs and symptoms of IHD as major determinants of IHD risk. We highlight sex-specific anatomic and functional differences in contemporary imaging and introduce imaging approaches that leverage refined targets that may improve IHD risk prediction and identify potential therapeutic strategies for symptomatic women.
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Affiliation(s)
| | - Subha V Raman
- The Ohio State University College of Medicine, Columbus, Ohio
| | - James K Min
- Weill Cornell Medical College, New York, New York
| | | | - Martha Gulati
- The University of Arizona College of Medicine, Tucson, Arizona
| | | | | | | | | | - Dipti Itchhaporia
- Hoag Memorial Hospital Presbyterian Hospital, Newport Beach, California
| | | | - Carl J Pepine
- University of Florida College of Medicine, Gainesville, Florida
| | | | - Jagat Narula
- Icahn School of Medicine at Mount Sinai, New York, New York
| | - Leslee J Shaw
- Emory University School of Medicine, Atlanta, Georgia.
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22
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Adamson PD, Dweck MR, Newby DE. The vulnerable atherosclerotic plaque: in vivo identification and potential therapeutic avenues. Heart 2015; 101:1755-66. [DOI: 10.1136/heartjnl-2014-307099] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
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23
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Hoshi T, Sato A, Akiyama D, Hiraya D, Sakai S, Shindo M, Mori K, Minami M, Aonuma K. Coronary high-intensity plaque on T1-weighted magnetic resonance imaging and its association with myocardial injury after percutaneous coronary intervention. Eur Heart J 2015; 36:1913-22. [PMID: 26033978 DOI: 10.1093/eurheartj/ehv187] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Accepted: 04/28/2015] [Indexed: 11/13/2022] Open
Abstract
AIMS Non-contrast T1-weighted imaging (T1WI) has emerged as a novel non-invasive imaging for vulnerable coronary plaque showing a high-intensity plaque (HIP). However, the association between HIP and percutaneous coronary intervention (PCI) has not been evaluated. We investigated the association between the presence of HIP and the incidence of myocardial injury after PCI. METHODS AND RESULTS A total of 77 patients with stable angina were imaged with non-contrast T1WI by using a 1.5 T magnetic resonance system (HIP and non-HIP group, N = 31 and 46 patients, respectively). We defined HIP as a coronary plaque to myocardium signal intensity ratio (PMR) of ≥1.4. High-sensitive cardiac troponin-T (hs-cTnT) was measured at baseline and 24 h after PCI. Percutaneous coronary intervention-related myocardial injury (PMI) was defined as an elevation of hs-cTnT >5× 99th percentile upper reference limit. High-intensity plaque was associated with the characteristics of ultrasound attenuation and positive remodelling on intravascular ultrasound. Although baseline hs-cTnT was similar between the groups, increase in hs-cTnT was significantly greater in the HIP vs. non-HIP group (0.065 [0.023-0.304] vs. 0.017 [0.005-0.026], P < 0.001). Percutaneous coronary intervention-related myocardial injury occurred more frequently in the HIP than non-HIP group (58.1 vs. 10.9%, P < 0.001), and the cut-off value of PMR found to be 1.44 for predicting PMI (sensitivity 78.3% and specificity 81.5%). In multivariate analysis, a PMR of ≥1.4 was a significant predictor of PMI (odds ratio 5.63, 95% confidence interval 1.28-24.7, P = 0.022). CONCLUSION High-intensity plaque on non-contrast T1WI was characterized as vulnerable coronary plaque on IVUS and was associated with higher incidence of PMI.
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Affiliation(s)
- Tomoya Hoshi
- Cardiovascular Division, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
| | - Akira Sato
- Cardiovascular Division, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
| | - Daiki Akiyama
- Cardiovascular Division, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
| | - Daigo Hiraya
- Cardiovascular Division, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
| | - Shunsuke Sakai
- Cardiovascular Division, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
| | - Masashi Shindo
- Department of Radiology, University of Tsukuba Hospital, Tsukuba, Japan
| | - Kensaku Mori
- Department of Radiology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Manabu Minami
- Department of Radiology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Kazutaka Aonuma
- Cardiovascular Division, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
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24
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Iron-based superparamagnetic nanoparticle contrast agents for MRI of infection and inflammation. AJR Am J Roentgenol 2015; 204:W302-13. [PMID: 25714316 DOI: 10.2214/ajr.14.12733] [Citation(s) in RCA: 96] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE. In this article, we summarize the progress to date on the use of superparamagnetic iron oxide nanoparticles (SPIONs) as contrast agents for MRI of inflammatory processes. CONCLUSION. Phagocytosis by macrophages of injected SPIONs results in a prolonged shortening of both T2 and T2* leading to hypointensity of macrophage-infiltrated tissues in contrast-enhanced MR images. SPIONs as contrast agents are therefore useful for the in vivo MRI detection of macrophage infiltration, and there is substantial research and clinical interest in the use of SPION-based contrast agents for MRI of infection and inflammation. This technique has been used to identify active infection in patients with septic arthritis and osteomyelitis; importantly, the MRI signal intensity of the tissue has been found to return to its unenhanced value on successful treatment of the infection. In SPION contrast-enhanced MRI of vascular inflammation, animal studies have shown decreased macrophage uptake in atherosclerotic plaques after treatment with statin drugs. Human studies have shown that both coronary and carotid plaques that take up SPIONs are more prone to rupture and that abdominal aneurysms with increased SPION uptake are more likely to grow. Studies of patients with multiple sclerosis suggest that MRI using SPIONs may have increased sensitivity over gadolinium for plaque detection. Finally, SPIONs have enabled the tracking and imaging of transplanted stem cells in a recipient host.
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25
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Doltra A, Schneeweis C, Fleck E, Kelle S. Cardiac magnetic resonance for prognostic assessment: present applications and future directions. Expert Rev Cardiovasc Ther 2014; 12:771-82. [PMID: 24754461 DOI: 10.1586/14779072.2014.910117] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Cardiac magnetic resonance is increasingly used in clinical practice for both diagnostic and prognostic purposes. In the field of ischemic heart disease, perfusion imaging permits the assessment of ischemia, which is strongly related to future cardiac events and mortality. Late gadolinium enhancement is also associated with the prognosis and can be used as a marker of functional recovery. Cardiac magnetic resonance also permits the detection of microvascular obstruction and infarct hemorrhage, both related to an adverse outcome. In non-ischemic heart disease, the presence of late gadolinium enhancement is linked to mortality and hard events. Finally, coronary angiography, as well as new techniques, such as T1 mapping, may also have a prognostic role.
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Affiliation(s)
- Adelina Doltra
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Augustenburger Platz 1,13353 Berlin, Germany
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