1
|
Aromiwura AA, Cavalcante JL, Kwong RY, Ghazipour A, Amini A, Bax J, Raman S, Pontone G, Kalra DK. The role of artificial intelligence in cardiovascular magnetic resonance imaging. Prog Cardiovasc Dis 2024:S0033-0620(24)00092-6. [PMID: 38925255 DOI: 10.1016/j.pcad.2024.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Accepted: 06/23/2024] [Indexed: 06/28/2024]
Abstract
Cardiovascular magnetic resonance (CMR) imaging is the gold standard test for myocardial tissue characterization and chamber volumetric and functional evaluation. However, manual CMR analysis can be time-consuming and is subject to intra- and inter-observer variability. Artificial intelligence (AI) is a field that permits automated task performance through the identification of high-level and complex data relationships. In this review, we review the rapidly growing role of AI in CMR, including image acquisition, sequence prescription, artifact detection, reconstruction, segmentation, and data reporting and analysis including quantification of volumes, function, myocardial infarction (MI) and scar detection, and prediction of outcomes. We conclude with a discussion of the emerging challenges to widespread adoption and solutions that will allow for successful, broader uptake of this powerful technology.
Collapse
Affiliation(s)
| | | | - Raymond Y Kwong
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Aryan Ghazipour
- Medical Imaging Laboratory, Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA
| | - Amir Amini
- Medical Imaging Laboratory, Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA
| | - Jeroen Bax
- Department of Cardiology, Leiden University, Leiden, the Netherlands
| | - Subha Raman
- Division of Cardiology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Gianluca Pontone
- Department of Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, University of Milan, Milan, Italy
| | - Dinesh K Kalra
- Division of Cardiology, Department of Medicine, University of Louisville, Louisville, KY, USA; Center for Artificial Intelligence in Radiological Sciences (CAIRS), Department of Radiology, University of Louisville, Louisville, KY, USA.
| |
Collapse
|
2
|
Tassetti L, Sfriso E, Torlone F, Baggiano A, Mushtaq S, Cannata F, Del Torto A, Fazzari F, Fusini L, Junod D, Maragna R, Volpe A, Carrabba N, Conte E, Guglielmo M, La Mura L, Pergola V, Pedrinelli R, Indolfi C, Sinagra G, Perrone Filardi P, Guaricci AI, Pontone G. The Role of Multimodality Imaging (CT & MR) as a Guide to the Management of Chronic Coronary Syndromes. J Clin Med 2024; 13:3450. [PMID: 38929984 PMCID: PMC11205051 DOI: 10.3390/jcm13123450] [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: 05/20/2024] [Revised: 06/06/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
Chronic coronary syndrome (CCS) is one of the leading cardiovascular causes of morbidity, mortality, and use of medical resources. After the introduction by international guidelines of the same level of recommendation to non-invasive imaging techniques in CCS evaluation, a large debate arose about the dilemma of choosing anatomical (with coronary computed tomography angiography (CCTA)) or functional imaging (with stress echocardiography (SE), cardiovascular magnetic resonance (CMR), or nuclear imaging techniques) as a first diagnostic evaluation. The determinant role of the atherosclerotic burden in defining cardiovascular risk and prognosis more than myocardial inducible ischemia has progressively increased the use of a first anatomical evaluation with CCTA in a wide range of pre-test probability in CCS patients. Functional testing holds importance, both because the role of revascularization in symptomatic patients with proven ischemia is well defined and because functional imaging, particularly with stress cardiac magnetic resonance (s-CMR), gives further prognostic information regarding LV function, detection of myocardial viability, and tissue characterization. Emerging techniques such as stress computed tomography perfusion (s-CTP) and fractional flow reserve derived from CT (FFRCT), combining anatomical and functional evaluation, appear capable of addressing the need for a single non-invasive examination, especially in patients with high risk or previous revascularization. Furthermore, CCTA in peri-procedural planning is promising to acquire greater importance in the non-invasive planning and guiding of complex coronary revascularization procedures, both by defining the correct strategy of interventional procedure and by improving patient selection. This review explores the different roles of non-invasive imaging techniques in managing CCS patients, also providing insights into preoperative planning for percutaneous or surgical myocardial revascularization.
Collapse
Affiliation(s)
- Luigi Tassetti
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Enrico Sfriso
- Radiology Unit, Department of Medical, Surgical and Health Sciences, University of Trieste, 34127 Trieste, Italy;
| | | | - Andrea Baggiano
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Saima Mushtaq
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Francesco Cannata
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Alberico Del Torto
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Fabio Fazzari
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Laura Fusini
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Daniele Junod
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Riccardo Maragna
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Alessandra Volpe
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
| | - Nazario Carrabba
- Department of Cardiothoracovascular Medicine, Azienda Ospedaliero-Universitaria Careggi, 50134 Florence, Italy;
| | - Edoardo Conte
- Department of Clinical Cardiology and Cardiovascular Imaging, Galeazzi-Sant’Ambrogio Hospital IRCCS, 20157 Milan, Italy;
| | - Marco Guglielmo
- Department of Cardiology, Division of Heart and Lungs, Medical Center Utrecht, Utrecht University, 3584 Utrecht, The Netherlands;
| | - Lucia La Mura
- Department of Advanced Biomedical Sciences, University Federico II of Naples, 80131 Naples, Italy; (L.L.M.); (P.P.F.)
| | - Valeria Pergola
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, 35128 Padova, Italy;
| | - Roberto Pedrinelli
- Cardiac, Thoracic and Vascular Department, University of Pisa, 56124 Pisa, Italy;
| | - Ciro Indolfi
- Istituto di Cardiologia, Dipartimento di Scienze Mediche e Chirurgiche, Università degli Studi “Magna Graecia”, 88100 Catanzaro, Italy;
| | - Gianfranco Sinagra
- Cardiology Specialty School, University of Trieste, 34127 Trieste, Italy;
- Center for Diagnosis and Treatment of Cardiomyopathies, Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano-Isontina (ASUGI), 34149 Trieste, Italy
| | - Pasquale Perrone Filardi
- Department of Advanced Biomedical Sciences, University Federico II of Naples, 80131 Naples, Italy; (L.L.M.); (P.P.F.)
| | - Andrea Igoren Guaricci
- Cardiology Unit, Interdisciplinary Department of Medicine, University of Bari Aldo Moro, 70126 Bari, Italy;
| | - Gianluca Pontone
- Perioperative Cardiology and Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (L.T.); (A.B.); (S.M.); (F.C.); (F.F.); (L.F.); (D.J.); (R.M.); (A.V.)
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122 Milan, Italy
| |
Collapse
|
3
|
Abraham GR, Berry C, Fu Q, Hoole SP, Weir-McCall JR. Differences in quantitative myocardial perfusion mapping by CMR at 1.5 T and 3 T. AMERICAN HEART JOURNAL PLUS : CARDIOLOGY RESEARCH AND PRACTICE 2024; 41:100388. [PMID: 38680205 PMCID: PMC11045872 DOI: 10.1016/j.ahjo.2024.100388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 03/13/2024] [Accepted: 03/15/2024] [Indexed: 05/01/2024]
Affiliation(s)
- George R. Abraham
- Royal Papworth Hospital NHS Foundation Trust, Papworth Road, Cambridge Biomedical Campus, Cambridge CB2 0AY, United Kingdom of Great Britain and Northern Ireland
- University of Cambridge, The Old Schools, Trinity Lane, Cambridge CB2 1TN, United Kingdom of Great Britain and Northern Ireland
| | - Colin Berry
- NHS Greater Glasgow and Clyde Health Board, Gartnavel Royal Hospital Campus, 1055 Great Western Road, Glasgow G12 0XH, United Kingdom of Great Britain and Northern Ireland
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, BHF Glasgow Cardiovascular Research Centre (GCRC), 126 University Place, Glasgow G12 8TA, United Kingdom of Great Britain and Northern Ireland
| | - Qing Fu
- Royal Papworth Hospital NHS Foundation Trust, Papworth Road, Cambridge Biomedical Campus, Cambridge CB2 0AY, United Kingdom of Great Britain and Northern Ireland
- University of Cambridge, The Old Schools, Trinity Lane, Cambridge CB2 1TN, United Kingdom of Great Britain and Northern Ireland
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Stephen P. Hoole
- Royal Papworth Hospital NHS Foundation Trust, Papworth Road, Cambridge Biomedical Campus, Cambridge CB2 0AY, United Kingdom of Great Britain and Northern Ireland
- University of Cambridge, The Old Schools, Trinity Lane, Cambridge CB2 1TN, United Kingdom of Great Britain and Northern Ireland
| | - Jonathan R. Weir-McCall
- Royal Papworth Hospital NHS Foundation Trust, Papworth Road, Cambridge Biomedical Campus, Cambridge CB2 0AY, United Kingdom of Great Britain and Northern Ireland
- University of Cambridge, The Old Schools, Trinity Lane, Cambridge CB2 1TN, United Kingdom of Great Britain and Northern Ireland
| |
Collapse
|
4
|
Borodzicz-Jazdzyk S, Vink CEM, Demirkiran A, Hoek R, de Mooij GW, Hofman MBM, Wilgenhof A, Appelman Y, Benovoy M, Götte MJW. Clinical implementation of a fully automated quantitative perfusion cardiovascular magnetic resonance imaging workflow with a simplified dual-bolus contrast administration scheme. Sci Rep 2024; 14:9665. [PMID: 38671061 PMCID: PMC11053149 DOI: 10.1038/s41598-024-60503-x] [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: 10/02/2023] [Accepted: 04/23/2024] [Indexed: 04/28/2024] Open
Abstract
This study clinically implemented a ready-to-use quantitative perfusion (QP) cardiovascular magnetic resonance (QP CMR) workflow, encompassing a simplified dual-bolus gadolinium-based contrast agent (GBCA) administration scheme and fully automated QP image post-processing. Twenty-five patients with suspected obstructive coronary artery disease (CAD) underwent both adenosine stress perfusion CMR and an invasive coronary angiography or coronary computed tomography angiography. The dual-bolus protocol consisted of a pre-bolus (0.0075 mmol/kg GBCA at 0.5 mmol/ml concentration + 20 ml saline) and a main bolus (0.075 mmol/kg GBCA at 0.5 mmol/ml concentration + 20 ml saline) at an infusion rate of 3 ml/s. The arterial input function curves showed excellent quality. Stress MBF ≤ 1.84 ml/g/min accurately detected obstructive CAD (area under the curve 0.79; 95% Confidence Interval: 0.66 to 0.89). Combined visual assessment of color pixel QP maps and conventional perfusion images yielded a diagnostic accuracy of 84%, sensitivity of 70% and specificity of 93%. The proposed easy-to-use dual-bolus QP CMR workflow provides good image quality and holds promise for high accuracy in diagnosis of obstructive CAD. Implementation of this approach has the potential to serve as an alternative to current methods thus increasing the accessibility to offer high-quality QP CMR imaging by a wide range of CMR laboratories.
Collapse
Affiliation(s)
- S Borodzicz-Jazdzyk
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
- 1st Department of Cardiology, Medical University of Warsaw, Banacha 1a Str., 02-097, Warsaw, Poland
| | - C E M Vink
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - A Demirkiran
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - R Hoek
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - G W de Mooij
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - M B M Hofman
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - A Wilgenhof
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - Y Appelman
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - M Benovoy
- Area19 Medical Inc., Montreal, H2V2X5, Canada
| | - M J W Götte
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands.
| |
Collapse
|
5
|
Guo W, Zhao S, Xu H, He W, Yin L, Yao Z, Xu Z, Jin H, Wu D, Li C, Yang S, Zeng M. Comparison of machine learning-based CT fractional flow reserve with cardiac MR perfusion mapping for ischemia diagnosis in stable coronary artery disease. Eur Radiol 2024:10.1007/s00330-024-10650-6. [PMID: 38409549 DOI: 10.1007/s00330-024-10650-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 11/16/2023] [Accepted: 01/08/2024] [Indexed: 02/28/2024]
Abstract
OBJECTIVES To compare the diagnostic performance of machine learning (ML)-based computed tomography-derived fractional flow reserve (CT-FFR) and cardiac magnetic resonance (MR) perfusion mapping for functional assessment of coronary stenosis. METHODS Between October 2020 and March 2022, consecutive participants with stable coronary artery disease (CAD) were prospectively enrolled and underwent coronary CTA, cardiac MR, and invasive fractional flow reserve (FFR) within 2 weeks. Cardiac MR perfusion analysis was quantified by stress myocardial blood flow (MBF) and myocardial perfusion reserve (MPR). Hemodynamically significant stenosis was defined as FFR ≤ 0.8 or > 90% stenosis on invasive coronary angiography (ICA). The diagnostic performance of CT-FFR, MBF, and MPR was compared, using invasive FFR as a reference. RESULTS The study protocol was completed in 110 participants (mean age, 62 years ± 8; 73 men), and hemodynamically significant stenosis was detected in 36 (33%). Among the quantitative perfusion indices, MPR had the largest area under receiver operating characteristic curve (AUC) (0.90) for identifying hemodynamically significant stenosis, which is in comparison with ML-based CT-FFR on the vessel level (AUC 0.89, p = 0.71), with comparable sensitivity (89% vs 79%, p = 0.20), specificity (87% vs 84%, p = 0.48), and accuracy (88% vs 83%, p = 0.24). However, MPR outperformed ML-based CT-FFR on the patient level (AUC 0.96 vs 0.86, p = 0.03), with improved specificity (95% vs 82%, p = 0.01) and accuracy (95% vs 81%, p < 0.01). CONCLUSION ML-based CT-FFR and quantitative cardiac MR showed comparable diagnostic performance in detecting vessel-specific hemodynamically significant stenosis, whereas quantitative perfusion mapping had a favorable performance in per-patient analysis. CLINICAL RELEVANCE STATEMENT ML-based CT-FFR and MPR derived from cardiac MR performed well in diagnosing vessel-specific hemodynamically significant stenosis, both of which showed no statistical discrepancy with each other. KEY POINTS • Both machine learning (ML)-based computed tomography-derived fractional flow reserve (CT-FFR) and quantitative perfusion cardiac MR performed well in the detection of hemodynamically significant stenosis. • Compared with stress myocardial blood flow (MBF) from quantitative perfusion cardiac MR, myocardial perfusion reserve (MPR) provided higher diagnostic performance for detecting hemodynamically significant coronary artery stenosis. • ML-based CT-FFR and MPR from quantitative cardiac MR perfusion yielded similar diagnostic performance in assessing vessel-specific hemodynamically significant stenosis, whereas MPR had a favorable performance in per-patient analysis.
Collapse
Affiliation(s)
- Weifeng Guo
- Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200032, China
- Department of Radiology, Shanghai Geriatric Medical Center, 2560 Chunshen Road, Minhang District, Shanghai, 201104, China
| | - Shihai Zhao
- Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200032, China
- Department of Radiology, Shanghai Geriatric Medical Center, 2560 Chunshen Road, Minhang District, Shanghai, 201104, China
| | - Haijia Xu
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Wei He
- Department of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Lekang Yin
- Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200032, China
- Department of Radiology, Shanghai Geriatric Medical Center, 2560 Chunshen Road, Minhang District, Shanghai, 201104, China
| | - Zhifeng Yao
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Zhihan Xu
- Siemens Healthineers China, Shanghai, China
| | - Hang Jin
- Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200032, China
- Department of Radiology, Shanghai Geriatric Medical Center, 2560 Chunshen Road, Minhang District, Shanghai, 201104, China
| | - Dong Wu
- Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200032, China
- Department of Radiology, Shanghai Geriatric Medical Center, 2560 Chunshen Road, Minhang District, Shanghai, 201104, China
| | - Chenguang Li
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Shan Yang
- Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200032, China
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Shanghai, 200032, China.
- Department of Radiology, Shanghai Geriatric Medical Center, 2560 Chunshen Road, Minhang District, Shanghai, 201104, China.
| |
Collapse
|
6
|
Patel AR, Kramer CM. Perfusion Imaging for the Heart. Magn Reson Imaging Clin N Am 2024; 32:125-134. [PMID: 38007275 DOI: 10.1016/j.mric.2023.09.005] [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] [Indexed: 11/27/2023]
Abstract
The use of myocardial perfusion imaging during a stress cardiac magnetic resonance (CMR) examination for the evaluation of coronary artery disease is now recommended by both US and European guidelines. Several studies have demonstrated high diagnostic accuracy for the detection of hemodynamically significant coronary artery disease. Stress perfusion CMR has been shown to be a noninvasive and cost-effective alternative to guide coronary revascularization.
Collapse
Affiliation(s)
- Amit R Patel
- Department of Medicine, From the Cardiovascular Division, University of Virginia Health, 1215 Lee Street, Box 800158, Charlottesville, VA 22908, USA; Department of Radiology and Medical Imaging, From the Cardiovascular Division, University of Virginia Health, 1215 Lee Street, Box 800158, Charlottesville, VA 22908, USA.
| | - Christopher M Kramer
- Department of Medicine, From the Cardiovascular Division, University of Virginia Health, 1215 Lee Street, Box 800158, Charlottesville, VA 22908, USA; Department of Radiology and Medical Imaging, From the Cardiovascular Division, University of Virginia Health, 1215 Lee Street, Box 800158, Charlottesville, VA 22908, USA
| |
Collapse
|
7
|
Chacko L, Kotecha T, Ioannou A, Patel N, Martinez-Naharro A, Razvi Y, Patel R, Massa P, Venneri L, Brown J, Porcari A, Knott K, Manisty C, Knight D, Lockie T, Rakhit R, Lachmann H, Wechelakar A, Whelan C, Ponticos M, Moon J, González A, Gilbertson J, Riefolo M, Leone O, Xue H, Hawkins P, Kellman P, Gillmore J, Fontana M. Myocardial perfusion in cardiac amyloidosis. Eur J Heart Fail 2024. [PMID: 38247182 DOI: 10.1002/ejhf.3137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 11/07/2023] [Accepted: 12/27/2023] [Indexed: 01/23/2024] Open
Abstract
AIMS Cardiac involvement is the main driver of clinical outcomes in systemic amyloidosis and preliminary studies support the hypothesis that myocardial ischaemia contributes to cellular damage. The aims of this study were to assess the presence and mechanisms of myocardial ischaemia using cardiovascular magnetic resonance (CMR) with multiparametric mapping and histopathological assessment. METHODS AND RESULTS Ninety-three patients with cardiac amyloidosis (CA) (light-chain amyloidosis n = 42, transthyretin amyloidosis n = 51) and 97 without CA (three-vessel coronary disease [3VD] n = 47, unobstructed coronary arteries n = 26, healthy volunteers [HV] n = 24) underwent quantitative stress perfusion CMR with myocardial blood flow (MBF) mapping. Twenty-four myocardial biopsies and three explanted hearts with CA were analysed histopathologically. Stress MBF was severely reduced in patients with CA with lower values than patients with 3VD, unobstructed coronary arteries and HV (CA: 1.04 ± 0.51 ml/min/g, 3VD: 1.35 ± 0.50 ml/min/g, unobstructed coronary arteries: 2.92 ± 0.52 ml/min/g, HV: 2.91 ± 0.73 ml/min/g; CA vs. 3VD p = 0.011, CA vs. unobstructed coronary arteries p < 0.001, CA vs. HV p < 0.001). Myocardial perfusion abnormalities correlated with amyloid burden, systolic and diastolic function, structural parameters and blood biomarkers (p < 0.05). Biopsies demonstrated abnormal vascular endothelial growth factor staining in cardiomyocytes and endothelial cells, which may be related to hypoxia conditions. Amyloid infiltration in intramural arteries was associated with severe lumen reduction and severe reduction in capillary density. CONCLUSION Cardiac amyloidosis is associated with severe inducible myocardial ischaemia demonstrable by histology and CMR stress perfusion mapping. Histological evaluation indicates a complex pathophysiology, where in addition to systolic and diastolic dysfunction, amyloid infiltration of the epicardial arteries and disruption and rarefaction of the capillaries play a role in contributing to myocardial ischaemia.
Collapse
Affiliation(s)
- Liza Chacko
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
- Royal Free Hospital NHS Foundation Trust, London, UK
| | - Tushar Kotecha
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
- Royal Free Hospital NHS Foundation Trust, London, UK
| | - Adam Ioannou
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
- Royal Free Hospital NHS Foundation Trust, London, UK
| | - Niket Patel
- Royal Free Hospital NHS Foundation Trust, London, UK
| | - Ana Martinez-Naharro
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
- Royal Free Hospital NHS Foundation Trust, London, UK
| | - Yousuf Razvi
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
- Royal Free Hospital NHS Foundation Trust, London, UK
| | - Rishi Patel
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
- Royal Free Hospital NHS Foundation Trust, London, UK
| | - Paolo Massa
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, IRCCS Sant'Orsola Hospital, Bologna, Italy
| | - Lucia Venneri
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - James Brown
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
- Royal Free Hospital NHS Foundation Trust, London, UK
| | - Aldostefano Porcari
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Kristopher Knott
- Institute of Cardiovascular Science, University College London, London, UK
- Barts Heart Centre, London, UK
| | - Charlotte Manisty
- Institute of Cardiovascular Science, University College London, London, UK
| | - Daniel Knight
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
- Royal Free Hospital NHS Foundation Trust, London, UK
| | - Tim Lockie
- Royal Free Hospital NHS Foundation Trust, London, UK
| | - Roby Rakhit
- Royal Free Hospital NHS Foundation Trust, London, UK
| | - Helen Lachmann
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Ashutosh Wechelakar
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Carol Whelan
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
- Royal Free Hospital NHS Foundation Trust, London, UK
| | - Markella Ponticos
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - James Moon
- Institute of Cardiovascular Science, University College London, London, UK
- Barts Heart Centre, London, UK
| | - Arantxa González
- Division of Cardiovascular Sciences, University of Navarra, Pamplona, Spain
| | - Janet Gilbertson
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Mattia Riefolo
- Pathology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Ornella Leone
- Pathology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Hui Xue
- National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Philip Hawkins
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Peter Kellman
- National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Julian Gillmore
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
| | - Marianna Fontana
- National Amyloidosis Centre, Division of Medicine, University College London, Royal Free Hospital, London, UK
- Royal Free Hospital NHS Foundation Trust, London, UK
| |
Collapse
|
8
|
Xu J, Zhuang B, Cui C, Yang W, He J, Wang X, Duan X, Zhou D, Wang Y, Zhu L, Sirajuddin A, Zhao S, Lu M. Adenosine Triphosphate Stress Myocardial Strain in Ischemic Heart Disease: An Animal Study with Histological Validation. Acad Radiol 2024; 31:221-232. [PMID: 37330355 DOI: 10.1016/j.acra.2023.05.020] [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: 04/12/2023] [Revised: 05/17/2023] [Accepted: 05/20/2023] [Indexed: 06/19/2023]
Abstract
RATIONALE AND OBJECTIVES It is still challenging for cardiac magnetic resonance (CMR) to detect ischemic heart disease (IHD) without the use of gadolinium contrast. We aimed to evaluate the potential value of adenosine triphosphate (ATP) stress myocardial strain derived from feature tracking (FT) as a novel method for detecting IHD in a swine model. MATERIALS AND METHODS CMR cines, myocardial perfusion imaging at rest and during ATP stress, and late gadolinium enhancement were obtained in both control and IHD swine. Normal, remote, ischemic, and infarcted myocardium were analyzed. The diagnostic accuracy of myocardial strain for infarction and ischemia was assessed using coronary angiography and pathology as reference. RESULTS Eleven IHD swine and five healthy control swine were enrolled in this study. Strain parameters, even at rest, were associated with myocardial ischemia and infarction(all p < 0.05). The area under receiver operating characteristic curve (AUC) values of all strain parameters for detecting infarcted myocardium exceeded 0.900 (all p < 0.05). The AUC values for detecting ischemic myocardium were as follows: 0.906 and 0.847 for stress and rest radial strain, 0.763 and 0.716 for stress and rest circumferential strain, 0.758 and 0.663 for stress and rest longitudinal strain (all p < 0.001). Heat maps demonstrated that all strain parameters showed mild to moderate correlations with the stress myocardial blood flow and myocardial perfusion reserve (all p < 0.05). CONCLUSION CMR-FT-derived ATP stress myocardial strain shows promise as a noninvasive method for detecting myocardial ischemia and infarction in an IHD swine model, with rest strain parameters offering potential as a needle-free diagnostic option.
Collapse
Affiliation(s)
- Jing Xu
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (J.X., B.Z., C.C., W.Y., J.H., D.Z., Y.W., L.Z., S.Z., M.L.)
| | - Baiyan Zhuang
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (J.X., B.Z., C.C., W.Y., J.H., D.Z., Y.W., L.Z., S.Z., M.L.)
| | - Chen Cui
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (J.X., B.Z., C.C., W.Y., J.H., D.Z., Y.W., L.Z., S.Z., M.L.)
| | - Wenjing Yang
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (J.X., B.Z., C.C., W.Y., J.H., D.Z., Y.W., L.Z., S.Z., M.L.)
| | - Jian He
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (J.X., B.Z., C.C., W.Y., J.H., D.Z., Y.W., L.Z., S.Z., M.L.)
| | - Xin Wang
- Department of Animal Experimental Center, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X.W.)
| | - Xuejing Duan
- Department of Pathology, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (X.D.)
| | - Di Zhou
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (J.X., B.Z., C.C., W.Y., J.H., D.Z., Y.W., L.Z., S.Z., M.L.)
| | - Yining Wang
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (J.X., B.Z., C.C., W.Y., J.H., D.Z., Y.W., L.Z., S.Z., M.L.)
| | - Leyi Zhu
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (J.X., B.Z., C.C., W.Y., J.H., D.Z., Y.W., L.Z., S.Z., M.L.)
| | - Arlene Sirajuddin
- Department of Health and Human Services, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland (A.S.)
| | - Shihua Zhao
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (J.X., B.Z., C.C., W.Y., J.H., D.Z., Y.W., L.Z., S.Z., M.L.)
| | - Minjie Lu
- Department of Magnetic Resonance Imaging, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (J.X., B.Z., C.C., W.Y., J.H., D.Z., Y.W., L.Z., S.Z., M.L.); Key Laboratory of Cardiovascular Imaging (Cultivation), Chinese Academy of Medical Sciences, Beijing, China (M.L.).
| |
Collapse
|
9
|
van Diemen PA, de Winter RW, Schumacher SP, Everaars H, Bom MJ, Jukema RA, Somsen YB, Raijmakers PG, Kooistra RA, Timmer J, Maaniitty T, Robbers LF, von Bartheld MB, Demirkiran A, van Rossum AC, Reiber JH, Knuuti J, Underwood SR, Nagel E, Knaapen P, Driessen RS, Danad I. The diagnostic performance of quantitative flow ratio and perfusion imaging in patients with prior coronary artery disease. Eur Heart J Cardiovasc Imaging 2023; 25:116-126. [PMID: 37578007 PMCID: PMC10735295 DOI: 10.1093/ehjci/jead197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 07/07/2023] [Accepted: 07/20/2023] [Indexed: 08/15/2023] Open
Abstract
AIMS In chronic coronary syndrome (CCS) patients with documented coronary artery disease (CAD), ischaemia detection by myocardial perfusion imaging (MPI) and an invasive approach are viable diagnostic strategies. We compared the diagnostic performance of quantitative flow ratio (QFR) with single-photon emission computed tomography (SPECT), positron emission tomography (PET), and cardiac magnetic resonance imaging (CMR) in patients with prior CAD [previous percutaneous coronary intervention (PCI) and/or myocardial infarction (MI)]. METHODS AND RESULTS This PACIFIC-2 sub-study evaluated 189 CCS patients with prior CAD for inclusion. Patients underwent SPECT, PET, and CMR followed by invasive coronary angiography with fractional flow reserve (FFR) measurements of all major coronary arteries (N = 567), except for vessels with a sub-total or chronic total occlusion. Quantitative flow ratio computation was attempted in 488 (86%) vessels with measured FFR available (FFR ≤0.80 defined haemodynamically significant CAD). Quantitative flow ratio analysis was successful in 334 (68%) vessels among 166 patients and demonstrated a higher accuracy (84%) and sensitivity (72%) compared with SPECT (66%, P < 0.001 and 46%, P = 0.001), PET (65%, P < 0.001 and 58%, P = 0.032), and CMR (72%, P < 0.001 and 33%, P < 0.001). The specificity of QFR (87%) was similar to that of CMR (83%, P = 0.123) but higher than that of SPECT (71%, P < 0.001) and PET (67%, P < 0.001). Lastly, QFR exhibited a higher area under the receiver operating characteristic curve (0.89) than SPECT (0.57, P < 0.001), PET (0.66, P < 0.001), and CMR (0.60, P < 0.001). CONCLUSION QFR correlated better with FFR in patients with prior CAD than MPI, as reflected in the higher diagnostic performance measures for detecting FFR-defined, vessel-specific, significant CAD.
Collapse
Affiliation(s)
- Pepijn A van Diemen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Ruben W de Winter
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Stefan P Schumacher
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Henk Everaars
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Michiel J Bom
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Ruurt A Jukema
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Yvemarie B Somsen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Pieter G Raijmakers
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | | | - Teemu Maaniitty
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Lourens F Robbers
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Martin B von Bartheld
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Ahmet Demirkiran
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Albert C van Rossum
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | | | - Juhani Knuuti
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | | | - Eike Nagel
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, University Hospital Frankfurt am Main, Frankfurt am Main, Germany
| | - Paul Knaapen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Roel S Driessen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands
| |
Collapse
|
10
|
Weiner J, Heinisch C, Oeri S, Kujawski T, Szucs-Farkas Z, Zbinden R, Guensch DP, Fischer K. Focal and diffuse myocardial fibrosis both contribute to regional hypoperfusion assessed by post-processing quantitative-perfusion MRI techniques. Front Cardiovasc Med 2023; 10:1260156. [PMID: 37795480 PMCID: PMC10546174 DOI: 10.3389/fcvm.2023.1260156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 09/05/2023] [Indexed: 10/06/2023] Open
Abstract
Introduction Indications for stress-cardiovascular magnetic resonance imaging (CMR) to assess myocardial ischemia and viability are growing. First pass perfusion and late gadolinium enhancement (LGE) have limited value in balanced ischemia and diffuse fibrosis. Quantitative perfusion (QP) to assess absolute pixelwise myocardial blood flow (MBF) and extracellular volume (ECV) as a measure of diffuse fibrosis can overcome these limitations. We investigated the use of post-processing techniques for quantifying both pixelwise MBF and diffuse fibrosis in patients with clinically indicated CMR stress exams. We then assessed if focal and diffuse myocardial fibrosis and other features quantified during the CMR exam explain individual MBF findings. Methods This prospective observational study enrolled 125 patients undergoing a clinically indicated stress-CMR scan. In addition to the clinical report, MBF during regadenoson-stress was quantified using a post-processing QP method and T1 maps were used to calculate ECV. Factors that were associated with poor MBF were investigated. Results Of the 109 patients included (66 ± 11 years, 32% female), global and regional perfusion was quantified by QP analysis in both the presence and absence of visual first pass perfusion deficits. Similarly, ECV analysis identified diffuse fibrosis in myocardium beyond segments with LGE. Multivariable analysis showed both LGE (β = -0.191, p = 0.001) and ECV (β = -0.011, p < 0.001) were independent predictors of reduced MBF. In patients without clinically defined first pass perfusion deficits, the microvascular risk-factors of age and wall thickness further contributed to poor MBF (p < 0.001). Discussion Quantitative analysis of MBF and diffuse fibrosis detected regional tissue abnormalities not identified by traditional visual assessment. Multi-parametric quantitative analysis may refine the work-up of the etiology of myocardial ischemia in patients referred for clinical CMR stress testing in the future and provide a deeper insight into ischemic heart disease.
Collapse
Affiliation(s)
- Jeremy Weiner
- Cardiology, Hospital Centre of Biel, Biel, Switzerland
| | | | - Salome Oeri
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | | | - Zsolt Szucs-Farkas
- Radiology, Hospital Centre of Biel, Biel, Switzerland
- Department of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | | | - Dominik P. Guensch
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Diagnostic, Interventional and Paediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Kady Fischer
- Department of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| |
Collapse
|
11
|
Raisi-Estabragh Z, Martin-Isla C, Nissen L, Szabo L, Campello VM, Escalera S, Winther S, Bøttcher M, Lekadir K, Petersen SE. Radiomics analysis enhances the diagnostic performance of CMR stress perfusion: a proof-of-concept study using the Dan-NICAD dataset. Front Cardiovasc Med 2023; 10:1141026. [PMID: 37781298 PMCID: PMC10541220 DOI: 10.3389/fcvm.2023.1141026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 08/29/2023] [Indexed: 10/03/2023] Open
Abstract
Objectives To assess the feasibility of extracting radiomics signal intensity based features from the myocardium using cardiovascular magnetic resonance (CMR) imaging stress perfusion sequences. Furthermore, to compare the diagnostic performance of radiomics models against standard-of-care qualitative visual assessment of stress perfusion images, with the ground truth stenosis label being defined by invasive Fractional Flow Reserve (FFR) and quantitative coronary angiography. Methods We used the Dan-NICAD 1 dataset, a multi-centre study with coronary computed tomography angiography, 1,5 T CMR stress perfusion, and invasive FFR available for a subset of 148 patients with suspected coronary artery disease. Image segmentation was performed by two independent readers. We used the Pyradiomics platform to extract radiomics first-order (n = 14) and texture (n = 75) features from the LV myocardium (basal, mid, apical) in rest and stress perfusion images. Results Overall, 92 patients (mean age 62 years, 56 men) were included in the study, 39 with positive FFR. We double-cross validated the model and, in each inner fold, we trained and validated a per territory model. The conventional analysis results reported sensitivity of 41% and specificity of 84%. Our final radiomics model demonstrated an improvement on these results with an average sensitivity of 53% and specificity of 86%. Conclusion In this proof-of-concept study from the Dan-NICAD dataset, we demonstrate the feasibility of radiomics analysis applied to CMR perfusion images with a suggestion of superior diagnostic performance of radiomics models over conventional visual analysis of perfusion images in picking up perfusion defects defined by invasive coronary angiography.
Collapse
Affiliation(s)
- Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, London, United Kingdom
| | - Carlos Martin-Isla
- Dept. de Matematiques I Informatica, University of Barcelona, Barcelona, Spain
| | - Louise Nissen
- Department of Cardiology, Regionshospital Gødstrup, Herning, Denmark
| | - Liliana Szabo
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, London, United Kingdom
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Victor M. Campello
- Dept. de Matematiques I Informatica, University of Barcelona, Barcelona, Spain
| | - Sergio Escalera
- Departament de Matemàtiques & Informàtica, Universitat de Barcelona, Barcelona, Spain
- Computer Vision Center, Univeritat Autònoma de Barcelona, Barcelona, Spain
| | - Simon Winther
- Department of Cardiology, Regionshospital Gødstrup, Herning, Denmark
| | - Morten Bøttcher
- Department of Cardiology, Regionshospital Gødstrup, Herning, Denmark
| | - Karim Lekadir
- Dept. de Matematiques I Informatica, University of Barcelona, Barcelona, Spain
| | - Steffen E. Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, London, United Kingdom
- Health Data Research UK, London, United Kingdom
- Alan Turing Institute, London, United Kingdom
| |
Collapse
|
12
|
Ricci F, Khanji MY, Bisaccia G, Cipriani A, Di Cesare A, Ceriello L, Mantini C, Zimarino M, Fedorowski A, Gallina S, Petersen SE, Bucciarelli-Ducci C. Diagnostic and Prognostic Value of Stress Cardiovascular Magnetic Resonance Imaging in Patients With Known or Suspected Coronary Artery Disease: A Systematic Review and Meta-analysis. JAMA Cardiol 2023; 8:662-673. [PMID: 37285143 PMCID: PMC10248816 DOI: 10.1001/jamacardio.2023.1290] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 04/12/2023] [Indexed: 06/08/2023]
Abstract
Importance The clinical utility of stress cardiovascular magnetic resonance imaging (CMR) in stable chest pain is still debated, and the low-risk period for adverse cardiovascular (CV) events after a negative test result is unknown. Objective To provide contemporary quantitative data synthesis of the diagnostic accuracy and prognostic value of stress CMR in stable chest pain. Data Sources PubMed and Embase databases, the Cochrane Database of Systematic Reviews, PROSPERO, and the ClinicalTrials.gov registry were searched for potentially relevant articles from January 1, 2000, through December 31, 2021. Study Selection Selected studies evaluated CMR and reported estimates of diagnostic accuracy and/or raw data of adverse CV events for participants with either positive or negative stress CMR results. Prespecified combinations of keywords related to the diagnostic accuracy and prognostic value of stress CMR were used. A total of 3144 records were evaluated for title and abstract; of those, 235 articles were included in the full-text assessment of eligibility. After exclusions, 64 studies (74 470 total patients) published from October 29, 2002, through October 19, 2021, were included. Data Extraction and Synthesis This systematic review and meta-analysis adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Main Outcomes and Measures Diagnostic odds ratios (DORs), sensitivity, specificity, area under the receiver operating characteristic curve (AUROC), odds ratio (OR), and annualized event rate (AER) for all-cause death, CV death, and major adverse cardiovascular events (MACEs) defined as the composite of myocardial infarction and CV death. Results A total of 33 diagnostic studies pooling 7814 individuals and 31 prognostic studies pooling 67 080 individuals (mean [SD] follow-up, 3.5 [2.1] years; range, 0.9-8.8 years; 381 357 person-years) were identified. Stress CMR yielded a DOR of 26.4 (95% CI, 10.6-65.9), a sensitivity of 81% (95% CI, 68%-89%), a specificity of 86% (95% CI, 75%-93%), and an AUROC of 0.84 (95% CI, 0.77-0.89) for the detection of functionally obstructive coronary artery disease. In the subgroup analysis, stress CMR yielded higher diagnostic accuracy in the setting of suspected coronary artery disease (DOR, 53.4; 95% CI, 27.7-103.0) or when using 3-T imaging (DOR, 33.2; 95% CI, 19.9-55.4). The presence of stress-inducible ischemia was associated with higher all-cause mortality (OR, 1.97; 95% CI, 1.69-2.31), CV mortality (OR, 6.40; 95% CI, 4.48-9.14), and MACEs (OR, 5.33; 95% CI, 4.04-7.04). The presence of late gadolinium enhancement (LGE) was associated with higher all-cause mortality (OR, 2.22; 95% CI, 1.99-2.47), CV mortality (OR, 6.03; 95% CI, 2.76-13.13), and increased risk of MACEs (OR, 5.42; 95% CI, 3.42-8.60). After a negative test result, pooled AERs for CV death were less than 1.0%. Conclusion and Relevance In this study, stress CMR yielded high diagnostic accuracy and delivered robust prognostication, particularly when 3-T scanners were used. While inducible myocardial ischemia and LGE were associated with higher mortality and risk of MACEs, normal stress CMR results were associated with a lower risk of MACEs for at least 3.5 years.
Collapse
Affiliation(s)
- Fabrizio Ricci
- Department of Neuroscience, Imaging and Clinical Sciences, Gabriele d’Annunzio University of Chieti-Pescara, Chieti, Italy
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- William Harvey Research Institute, Barts Biomedical Research Centre, National Institute for Health and Care Research, Queen Mary University London, Charterhouse Square, London, United Kingdom
| | - Mohammed Y. Khanji
- William Harvey Research Institute, Barts Biomedical Research Centre, National Institute for Health and Care Research, Queen Mary University London, Charterhouse Square, London, United Kingdom
- Newham University Hospital, Barts Health NHS Trust, London, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London, United Kingdom
| | - Giandomenico Bisaccia
- Department of Neuroscience, Imaging and Clinical Sciences, Gabriele d’Annunzio University of Chieti-Pescara, Chieti, Italy
| | - Alberto Cipriani
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Annamaria Di Cesare
- Cardiology Unit, Rimini Hospital, Local Health Authority of Romagna, Rimini, Italy
| | - Laura Ceriello
- Department of Neuroscience, Imaging and Clinical Sciences, Gabriele d’Annunzio University of Chieti-Pescara, Chieti, Italy
| | - Cesare Mantini
- Department of Neuroscience, Imaging and Clinical Sciences, Gabriele d’Annunzio University of Chieti-Pescara, Chieti, Italy
| | - Marco Zimarino
- Department of Neuroscience, Imaging and Clinical Sciences, Gabriele d’Annunzio University of Chieti-Pescara, Chieti, Italy
| | - Artur Fedorowski
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Sabina Gallina
- Department of Neuroscience, Imaging and Clinical Sciences, Gabriele d’Annunzio University of Chieti-Pescara, Chieti, Italy
| | - Steffen E. Petersen
- Newham University Hospital, Barts Health NHS Trust, London, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London, United Kingdom
- The Alan Turing Institute, London, United Kingdom
- Health Data Research UK, London, United Kingdom
| | - Chiara Bucciarelli-Ducci
- Royal Brompton and Harefield Hospitals, Guys and St Thomas NHS Trust London, London, United Kingdom
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, Kings College London, London, United Kingdom
| |
Collapse
|
13
|
Groenhoff L, De Zan G, Costantini P, Siani A, Ostillio E, Carriero S, Muscogiuri G, Bergamaschi L, Patti G, Pizzi C, Sironi S, Pavon AG, Carriero A, Guglielmo M. The Non-Invasive Diagnosis of Chronic Coronary Syndrome: A Focus on Stress Computed Tomography Perfusion and Stress Cardiac Magnetic Resonance. J Clin Med 2023; 12:jcm12113793. [PMID: 37297986 DOI: 10.3390/jcm12113793] [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: 04/25/2023] [Revised: 05/22/2023] [Accepted: 05/30/2023] [Indexed: 06/12/2023] Open
Abstract
Coronary artery disease is still a major cause of death and morbidity worldwide. In the setting of chronic coronary disease, demonstration of inducible ischemia is mandatory to address treatment. Consequently, scientific and technological efforts were made in response to the request for non-invasive diagnostic tools with better sensitivity and specificity. To date, clinicians have at their disposal a wide range of stress-imaging techniques. Among others, stress cardiac magnetic resonance (S-CMR) and computed tomography perfusion (CTP) techniques both demonstrated their diagnostic efficacy and prognostic value in clinical trials when compared to other non-invasive ischemia-assessing techniques and invasive fractional flow reserve measurement techniques. Standardized protocols for both S-CMR and CTP usually imply the administration of vasodilator agents to induce hyperemia and contrast agents to depict perfusion defects. However, both methods have their own limitations, meaning that optimizing their performance still requires a patient-tailored approach. This review focuses on the characteristics, drawbacks, and future perspectives of these two techniques.
Collapse
Affiliation(s)
- Léon Groenhoff
- Radiology Department, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Giulia De Zan
- Department of Translational Medicine, University of Eastern Piedmont, Maggiore della Carità Hospital, 28100 Novara, Italy
- Department of Cardiology, Division of Heart and Lungs, Utrecht University Medical Center, 3584 CX Utrecht, The Netherlands
| | - Pietro Costantini
- Radiology Department, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Agnese Siani
- Radiology Department, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Eleonora Ostillio
- Radiology Department, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Serena Carriero
- Postgraduate School in Radiodiagnostics, University of Milan, 20122 Milan, Italy
| | - Giuseppe Muscogiuri
- Department of Radiology, IRCCS Istituto Auxologico Italiano, San Luca Hospital, 20149 Milan, Italy
- School of Medicine, University of Milano-Bicocca, 20900 Monza, Italy
| | - Luca Bergamaschi
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC, Alma Mater Studiorum, University of Bologna, 40126 Bologna, Italy
| | - Giuseppe Patti
- Department of Translational Medicine, University of Eastern Piedmont, Maggiore della Carità Hospital, 28100 Novara, Italy
| | - Carmine Pizzi
- Cardiology Unit, Cardiac Thoracic and Vascular Department, IRCCS Azienda Ospedaliera-Universitaria di Bologna, 40138 Bologna, Italy
- Department of Medical and Surgical Sciences-DIMEC, Alma Mater Studiorum, University of Bologna, 40126 Bologna, Italy
| | - Sandro Sironi
- School of Medicine, University of Milano-Bicocca, 20900 Monza, Italy
- Department of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
| | - Anna Giulia Pavon
- Cardiovascular Department, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, 6900 Lugano, Switzerland
| | | | - Marco Guglielmo
- Department of Cardiology, Division of Heart and Lungs, Utrecht University Medical Center, 3584 CX Utrecht, The Netherlands
- Department of Cardiology, Haga Teaching Hospital, 2545 AA The Hague, The Netherlands
| |
Collapse
|
14
|
Hamilton-Craig C, Ugander M, Greenwood JP, Kozor R. Stress perfusion cardiovascular magnetic resonance imaging: a guide for the general cardiologist. Heart 2023; 109:428-433. [PMID: 36371659 DOI: 10.1136/heartjnl-2022-321630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 08/10/2022] [Indexed: 11/04/2022] Open
Abstract
Stress cardiovascular magnetic resonance (CMR) is an emerging non-invasive imaging technique for the assessment of known or suspected ischaemic heart disease (IHD). Stress CMR provides information on myocardial perfusion, wall motion, ventricular dimensions and volumes, as well as late gadolinium enhancement (LGE) scar imaging in a single test without ionising radiation. Data from numerous multicentre randomised studies show high diagnostic and prognostic utility, its efficacy as a gatekeeper to invasive coronary angiography and use for guiding coronary revascularisation decisions. Stress CMR is cost-effective across multiple healthcare settings, yet its uptake and usage varies worldwide and is an underutilised technology. New developments include rapid acquisition protocols, automated quantification of perfusion and myocardial blood flow, and artificial intelligence-aided automated analysis and reporting. Stress CMR is becoming more accessible and standardised around the globe and is ready for 'prime time' use in the non-invasive assessment of patients with suspected IHD.
Collapse
Affiliation(s)
- Christian Hamilton-Craig
- Faculty of Medicine and Centre for Advanced Imaging, The University of Queensland, Brisbane, Queensland, Australia .,School of Medicine, Griffith University, Sunshine Coast, Queensland, Australia
| | - Martin Ugander
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Department of Clinical Physiology, Karolinska Institute, Stockholm, Stockholm, Sweden
| | - John P Greenwood
- Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.,Biomedical Imaging Sciences, University of Leeds, Leeds, UK
| | - Rebecca Kozor
- Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| |
Collapse
|
15
|
Leo I, Nakou E, Artico J, Androulakis E, Wong J, Moon JC, Indolfi C, Bucciarelli-Ducci C. Strengths and weaknesses of alternative noninvasive imaging approaches for microvascular ischemia. J Nucl Cardiol 2023; 30:227-238. [PMID: 35918590 DOI: 10.1007/s12350-022-03066-6] [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: 04/03/2022] [Accepted: 06/19/2022] [Indexed: 11/26/2022]
Abstract
Structural and functional abnormalities of coronary microvasculature are highly prevalent in several clinical settings and often associated with worse clinical outcomes. Therefore, there is a growing interest in the detection and treatment of this, often overlooked, disease. Coronary angiography allows the assessment of the Coronary flow reserve (CFR) and the index of microcirculatory resistance (IMR). However, the measurement of these parameters is not always feasible because of limited technical availability and the need for a cardiac catheterization with a small but real risk of potential complications. Recent advances in non-invasive imaging techniques allow the assessment of coronary microvascular function with good accuracy and reproducibility. The objective of this review is to discuss the strengths and weaknesses of alternative non-invasive approaches used in the diagnosis of coronary microvascular dysfunction (CMD), highlighting the most recent advances for each imaging modality.
Collapse
Affiliation(s)
- Isabella Leo
- Royal Brompton and Harefield Hospitals, Guys's and St Thomas' NHS Foundation Trust, London, UK
- Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy
| | - Eleni Nakou
- Royal Brompton and Harefield Hospitals, Guys's and St Thomas' NHS Foundation Trust, London, UK
| | - Jessica Artico
- Institute of Cardiovascular Science, University College London, Gower Street, London, UK
- St Bartholomew's Hospital, Barts Heart Centre, West Smithfield, London, UK
| | - Emmanouil Androulakis
- Royal Brompton and Harefield Hospitals, Guys's and St Thomas' NHS Foundation Trust, London, UK
| | - Joyce Wong
- Royal Brompton and Harefield Hospitals, Guys's and St Thomas' NHS Foundation Trust, London, UK
| | - James C Moon
- Institute of Cardiovascular Science, University College London, Gower Street, London, UK
- St Bartholomew's Hospital, Barts Heart Centre, West Smithfield, London, UK
| | - Ciro Indolfi
- Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy
- Mediterranea Cardiocentro, Naples, Italy
| | - Chiara Bucciarelli-Ducci
- Royal Brompton and Harefield Hospitals, Guys's and St Thomas' NHS Foundation Trust, London, UK.
- Faculty of Life Sciences and Medicine, School of Biomedical Engineering and Imaging Sciences, King's College University, London, UK.
| |
Collapse
|
16
|
Zhou W, Sin J, Yan AT, Wang H, Lu J, Li Y, Kim P, Patel AR, Ng MY. Qualitative and Quantitative Stress Perfusion Cardiac Magnetic Resonance in Clinical Practice: A Comprehensive Review. Diagnostics (Basel) 2023; 13:diagnostics13030524. [PMID: 36766629 PMCID: PMC9914769 DOI: 10.3390/diagnostics13030524] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/11/2023] [Accepted: 01/28/2023] [Indexed: 02/05/2023] Open
Abstract
Stress cardiovascular magnetic resonance (CMR) imaging is a well-validated non-invasive stress test to diagnose significant coronary artery disease (CAD), with higher diagnostic accuracy than other common functional imaging modalities. One-stop assessment of myocardial ischemia, cardiac function, and myocardial viability qualitatively and quantitatively has been proven to be a cost-effective method in clinical practice for CAD evaluation. Beyond diagnosis, stress CMR also provides prognostic information and guides coronary revascularisation. In addition to CAD, there is a large body of literature demonstrating CMR's diagnostic performance and prognostic value in other common cardiovascular diseases (CVDs), especially coronary microvascular dysfunction (CMD). This review focuses on the clinical applications of stress CMR, including stress CMR scanning methods, practical interpretation of stress CMR images, and clinical utility of stress CMR in a setting of CVDs with possible myocardial ischemia.
Collapse
Affiliation(s)
- Wenli Zhou
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, No. 600, Yishan Road, Shanghai 200233, China
| | - Jason Sin
- Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, China
| | - Andrew T. Yan
- St. Michael’s Hospital, University of Toronto, Toronto, ON M5B 1W8, Canada
| | | | - Jing Lu
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, No. 600, Yishan Road, Shanghai 200233, China
| | - Yuehua Li
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, No. 600, Yishan Road, Shanghai 200233, China
| | - Paul Kim
- Department of Medicine, University of California San Diego, San Diego, CA 92093, USA
| | - Amit R. Patel
- Department of Cardiovascular Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Ming-Yen Ng
- Department of Medical Imaging, HKU-Shenzhen Hospital, Shenzhen 518009, China
- Department of Diagnostic Radiology, School of Clinical Medicine, The University of Hong Kong, Hong Kong SAR, China
- Correspondence:
| |
Collapse
|
17
|
Bazmpani MA, Nikolaidou C, Papanastasiou CA, Ziakas A, Karamitsos TD. Cardiovascular Magnetic Resonance Parametric Mapping Techniques for the Assessment of Chronic Coronary Syndromes. J Cardiovasc Dev Dis 2022; 9:jcdd9120443. [PMID: 36547440 PMCID: PMC9782163 DOI: 10.3390/jcdd9120443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 11/29/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022] Open
Abstract
The term chronic coronary syndromes encompasses a variety of clinical presentations of coronary artery disease (CAD), ranging from stable angina due to epicardial coronary artery disease to microvascular coronary dysfunction. Cardiac magnetic resonance (CMR) imaging has an established role in the diagnosis, prognostication and treatment planning of patients with CAD. Recent advances in parametric mapping CMR techniques have added value in the assessment of patients with chronic coronary syndromes, even without the need for gadolinium contrast administration. Furthermore, quantitative perfusion CMR techniques have enabled the non-invasive assessment of myocardial blood flow and myocardial perfusion reserve and can reliably identify multivessel coronary artery disease and microvascular dysfunction. This review summarizes the clinical applications and the prognostic value of the novel CMR parametric mapping techniques in the setting of chronic coronary syndromes and discusses their strengths, pitfalls and future directions.
Collapse
Affiliation(s)
- Maria Anna Bazmpani
- Department of First Cardiology, Aristotle University of Thessaloniki School of Medicine, AHEPA University Hospital, 54636 Thessaloniki, Greece
| | | | - Christos A. Papanastasiou
- Department of First Cardiology, Aristotle University of Thessaloniki School of Medicine, AHEPA University Hospital, 54636 Thessaloniki, Greece
| | - Antonios Ziakas
- Department of First Cardiology, Aristotle University of Thessaloniki School of Medicine, AHEPA University Hospital, 54636 Thessaloniki, Greece
| | - Theodoros D. Karamitsos
- Department of First Cardiology, Aristotle University of Thessaloniki School of Medicine, AHEPA University Hospital, 54636 Thessaloniki, Greece
- Correspondence: ; Tel.: +30-2310994832; Fax: +30-2310994673
| |
Collapse
|
18
|
Mabudian L, Jordan JH, Bottinor W, Hundley WG. Cardiac MRI assessment of anthracycline-induced cardiotoxicity. Front Cardiovasc Med 2022; 9:903719. [PMID: 36237899 PMCID: PMC9551168 DOI: 10.3389/fcvm.2022.903719] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 09/06/2022] [Indexed: 11/21/2022] Open
Abstract
The objective of this review article is to discuss how cardiovascular magnetic resonance (CMR) imaging measures left ventricular (LV) function, characterizes tissue, and identifies myocardial fibrosis in patients receiving anthracycline-based chemotherapy (Anth-bC). Specifically, CMR can measure LV ejection fraction (EF), volumes at end-diastole (LVEDV), and end-systole (LVESV), LV strain, and LV mass. Tissue characterization is accomplished through T1/T2-mapping, late gadolinium enhancement (LGE), and CMR perfusion imaging. Despite CMR’s accuracy and efficiency in collecting data about the myocardium, there are challenges that persist while monitoring a cardio-oncology patient undergoing Anth-bC, such as the presence of other cardiovascular risk factors and utility controversies. Furthermore, CMR can be a useful adjunct during cardiopulmonary exercise testing to pinpoint cardiovascular mediated exercise limitations, as well as to assess myocardial microcirculatory damage in patients undergoing Anth-bC.
Collapse
Affiliation(s)
- Leila Mabudian
- Division of Cardiology, Department of Internal Medicine, VCU School of Medicine, Richmond, VA, United States
| | - Jennifer H. Jordan
- Division of Cardiology, Department of Internal Medicine, VCU School of Medicine, Richmond, VA, United States
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, United States
| | - Wendy Bottinor
- Division of Cardiology, Department of Internal Medicine, VCU School of Medicine, Richmond, VA, United States
| | - W. Gregory Hundley
- Division of Cardiology, Department of Internal Medicine, VCU School of Medicine, Richmond, VA, United States
- *Correspondence: W. Gregory Hundley,
| |
Collapse
|
19
|
Bradley C, Berry C. Definition and epidemiology of coronary microvascular disease. J Nucl Cardiol 2022; 29:1763-1775. [PMID: 35534718 PMCID: PMC9345825 DOI: 10.1007/s12350-022-02974-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 02/17/2022] [Indexed: 11/18/2022]
Abstract
Ischemic heart disease remains one of the leading causes of death and disability worldwide. However, most patients referred for a noninvasive computed tomography coronary angiogram (CTA) or invasive coronary angiogram for the investigation of angina do not have obstructive coronary artery disease (CAD). Approximately two in five referred patients have coronary microvascular disease (CMD) as a primary diagnosis and, in addition, CMD also associates with CAD and myocardial disease (dual pathology). CMD underpins excess morbidity, impaired quality of life, significant health resource utilization, and adverse cardiovascular events. However, CMD often passes undiagnosed and the onward management of these patients is uncertain and heterogeneous. International standardized diagnostic criteria allow for the accurate diagnosis of CMD, ensuring an often overlooked patient population can be diagnosed and stratified for targeted medical therapy. Key to this is assessing coronary microvascular function-including coronary flow reserve, coronary microvascular resistance, and coronary microvascular spasm. This can be done by invasive methods (intracoronary temperature-pressure wire, intracoronary Doppler flow-pressure wire, intracoronary provocation testing) and non-invasive methods [positron emission tomography (PET), cardiac magnetic resonance imaging (CMR), transthoracic Doppler echocardiography (TTDE), cardiac computed tomography (CT)]. Coronary CTA is insensitive for CMD. Functional coronary angiography represents the combination of CAD imaging and invasive diagnostic procedures.
Collapse
Affiliation(s)
- Conor Bradley
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom
- NHS Golden Jubilee Hospital, Clydebank, United Kingdom
| | - Colin Berry
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom.
- NHS Golden Jubilee Hospital, Clydebank, United Kingdom.
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, Scotland, United Kingdom.
| |
Collapse
|
20
|
Lancellotti P, Go YY, Nchimi A. Stress imaging versus fractional flow reserve: what comes first-the chicken or the egg? Eur Heart J 2022; 43:3129-3131. [PMID: 35713675 DOI: 10.1093/eurheartj/ehac287] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Affiliation(s)
- Patrizio Lancellotti
- University of Liège Hospital, GIGA Cardiovascular Sciences, Departments of Cardiology, Heart Valve Clinic, CHU Sart Tilman, Domaine Universitaire du Sart Tilman B.35, 4000 Liège, Belgium.,Gruppo Villa Maria Care and Research, Maria Cecilia Hospital, Cotignola, and Anthea Hospital, Bari, Italy
| | - Yun Yun Go
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore
| | - Alain Nchimi
- University of Liège Hospital, GIGA Cardiovascular Sciences, Departments of Cardiology, Heart Valve Clinic, CHU Sart Tilman, Domaine Universitaire du Sart Tilman B.35, 4000 Liège, Belgium
| |
Collapse
|
21
|
Hoh T, Vishnevskiy V, Polacin M, Manka R, Fuetterer M, Kozerke S. Free-breathing motion-informed locally low-rank quantitative 3D myocardial perfusion imaging. Magn Reson Med 2022; 88:1575-1591. [PMID: 35713206 PMCID: PMC9544898 DOI: 10.1002/mrm.29295] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 03/30/2022] [Accepted: 04/19/2022] [Indexed: 12/30/2022]
Abstract
Purpose To propose respiratory motion‐informed locally low‐rank reconstruction (MI‐LLR) for robust free‐breathing single‐bolus quantitative 3D myocardial perfusion CMR imaging. Simulation and in‐vivo results are compared to locally low‐rank (LLR) and compressed sensing reconstructions (CS) for reference. Methods Data were acquired using a 3D Cartesian pseudo‐spiral in‐out k‐t undersampling scheme (R = 10) and reconstructed using MI‐LLR, which encompasses two stages. In the first stage, approximate displacement fields are derived from an initial LLR reconstruction to feed a motion‐compensated reference system to a second reconstruction stage, which reduces the rank of the inverse problem. For comparison, data were also reconstructed with LLR and frame‐by‐frame CS using wavelets as sparsifying transform (ℓ1‐wavelet). Reconstruction accuracy relative to ground truth was assessed using synthetic data for realistic ranges of breathing motion, heart rates, and SNRs. In‐vivo experiments were conducted in healthy subjects at rest and during adenosine stress. Myocardial blood flow (MBF) maps were derived using a Fermi model. Results Improved uniformity of MBF maps with reduced local variations was achieved with MI‐LLR. For rest and stress, intra‐volunteer variation of absolute and relative MBF was lower in MI‐LLR (±0.17 mL/g/min [26%] and ±1.07 mL/g/min [33%]) versus LLR (±0.19 mL/g/min [28%] and ±1.22 mL/g/min [36%]) and versus ℓ1‐wavelet (±1.17 mL/g/min [113%] and ±6.87 mL/g/min [115%]). At rest, intra‐subject MBF variation was reduced significantly with MI‐LLR. Conclusion The combination of pseudo‐spiral Cartesian undersampling and dual‐stage MI‐LLR reconstruction improves free‐breathing quantitative 3D myocardial perfusion CMR imaging under rest and stress condition. Click here for author‐reader discussions
Collapse
Affiliation(s)
- Tobias Hoh
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Valery Vishnevskiy
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Malgorzata Polacin
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.,Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Robert Manka
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.,Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Department of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Maximilian Fuetterer
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Sebastian Kozerke
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| |
Collapse
|
22
|
D’Ascenzi F, Baggiano A, Cavigli L, Mandoli GE, Andreini D, Marallo C, Valente S, Focardi M, Cameli M, Pontone G. The role of cardiac computed tomography in sports cardiology: back to the future! Eur Heart J Cardiovasc Imaging 2022; 23:e481-e493. [DOI: 10.1093/ehjci/jeac069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 02/15/2022] [Accepted: 03/21/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
In recent years, the role of pre-participation evaluation (PPE) in the prevention of sudden cardiac death in competitive athletes has become evident. Most physicians routinely supplement assessment by resting electrocardiogram with imaging techniques, such as echocardiography. The primary goal of imaging in the clinical assessment of competitive athletes is to exclude cardiovascular conditions associated with adverse outcomes. Cardiac computed tomography is emerging as an important technique for stratifying cardiovascular risk and assessing coronary artery disease (CAD), particularly in master athletes. Conversely, in young athletes, this technique has the best non-invasive coronary artery resolution and provides valuable details on coronary artery anatomy. Recent technical developments have brought about a dramatic reduction in radiation exposure, a major drawback of this diagnostic method; nowadays cardiac computed tomography may be performed at a dose of barely one millisievert. The present review provides a practical guide for the use of cardiac computed tomography in the PPE of competitive athletes, with a specific focus on its value for detecting congenital coronary anomalies and CAD in young and master athletes, respectively.
Collapse
Affiliation(s)
- Flavio D’Ascenzi
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, V.le M. Bracci 16, 53100 Siena, Italy
| | - Andrea Baggiano
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Milan, Italy
| | - Luna Cavigli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, V.le M. Bracci 16, 53100 Siena, Italy
| | - Giulia Elena Mandoli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, V.le M. Bracci 16, 53100 Siena, Italy
| | - Daniele Andreini
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Milan, Italy
| | - Carmine Marallo
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, V.le M. Bracci 16, 53100 Siena, Italy
| | - Serafina Valente
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, V.le M. Bracci 16, 53100 Siena, Italy
| | - Marta Focardi
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, V.le M. Bracci 16, 53100 Siena, Italy
| | - Matteo Cameli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, V.le M. Bracci 16, 53100 Siena, Italy
| | - Gianluca Pontone
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, Milan, Italy
| |
Collapse
|
23
|
Seraphim A, Dowsing B, Rathod KS, Shiwani H, Patel K, Knott KD, Zaman S, Johns I, Razvi Y, Patel R, Xue H, Jones DA, Fontana M, Cole G, Uppal R, Davies R, Moon JC, Kellman P, Manisty C. Quantitative Myocardial Perfusion Predicts Outcomes in Patients With Prior Surgical Revascularization. J Am Coll Cardiol 2022; 79:1141-1151. [PMID: 35331408 PMCID: PMC9034686 DOI: 10.1016/j.jacc.2021.12.037] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 12/23/2021] [Accepted: 12/29/2021] [Indexed: 01/12/2023]
Abstract
BACKGROUND Patients with previous coronary artery bypass graft (CABG) surgery typically have complex coronary disease and remain at high risk of adverse events. Quantitative myocardial perfusion indices predict outcomes in native vessel disease, but their prognostic performance in patients with prior CABG is unknown. OBJECTIVES In this study, we sought to evaluate whether global stress myocardial blood flow (MBF) and perfusion reserve (MPR) derived from perfusion mapping cardiac magnetic resonance (CMR) independently predict adverse outcomes in patients with prior CABG. METHODS This was a retrospective analysis of consecutive patients with prior CABG referred for adenosine stress perfusion CMR. Perfusion mapping was performed in-line with automated quantification of MBF. The primary outcome was a composite of all-cause mortality and major adverse cardiovascular events defined as nonfatal myocardial infarction and unplanned revascularization. Associations were evaluated with the use of Cox proportional hazards models after adjusting for comorbidities and CMR parameters. RESULTS A total of 341 patients (median age 67 years, 86% male) were included. Over a median follow-up of 638 days (IQR: 367-976 days), 81 patients (24%) reached the primary outcome. Both stress MBF and MPR independently predicted outcomes after adjusting for known prognostic factors (regional ischemia, infarction). The adjusted hazard ratio (HR) for 1 mL/g/min of decrease in stress MBF was 2.56 (95% CI: 1.45-4.35) and for 1 unit of decrease in MPR was 1.61 (95% CI: 1.08-2.38). CONCLUSIONS Global stress MBF and MPR derived from perfusion CMR independently predict adverse outcomes in patients with previous CABG. This effect is independent from the presence of regional ischemia on visual assessment and the extent of previous infarction.
Collapse
Affiliation(s)
- Andreas Seraphim
- Institute of Cardiovascular Science, University College London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom. https://twitter.com/andreas_sera
| | - Benjamin Dowsing
- Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - Krishnaraj S Rathod
- Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - Hunain Shiwani
- Institute of Cardiovascular Science, University College London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - Kush Patel
- Institute of Cardiovascular Science, University College London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - Kristopher D Knott
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Sameer Zaman
- Imperial College London, Imperial College, Healthcare NHS Trust, South Kensington, London, United Kingdom
| | - Ieuan Johns
- Imperial College London, Imperial College, Healthcare NHS Trust, South Kensington, London, United Kingdom
| | | | | | - Hui Xue
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Daniel A Jones
- Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - Marianna Fontana
- Institute of Cardiovascular Science, University College London, London, United Kingdom; Royal Free Hospital, London, United Kingdom
| | | | - Rakesh Uppal
- Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom; William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | - Rhodri Davies
- Institute of Cardiovascular Science, University College London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - James C Moon
- Institute of Cardiovascular Science, University College London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom
| | - Peter Kellman
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Charlotte Manisty
- Institute of Cardiovascular Science, University College London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom.
| |
Collapse
|
24
|
Sharrack N, Chiribiri A, Schwitter J, Plein S. How to do quantitative myocardial perfusion cardiovascular magnetic resonance. Eur Heart J Cardiovasc Imaging 2022; 23:315-318. [PMID: 34587625 PMCID: PMC8863076 DOI: 10.1093/ehjci/jeab193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 09/10/2021] [Indexed: 11/12/2022] Open
Affiliation(s)
- Noor Sharrack
- Multidisciplinary Cardiovascular Research Centre and Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK
| | - Amedeo Chiribiri
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
| | - Juerg Schwitter
- Division of Cardiology, Cardiovascular Department, University Hospital Lausanne, Rue de Bugnon 46, CH-1011 Lausanne, Switzerland
- Cardiac MR Center, University Hospital Lausanne, Rue de Bugnon 46, CH-1011 Lausanne, Switzerland
- University of Lausanne, UniL, Faculty of Biology and Medicine, Rue du Bugnon 21, Lausanne, Switzerland
| | - Sven Plein
- Multidisciplinary Cardiovascular Research Centre and Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EH, UK
| |
Collapse
|
25
|
Baggiano A, Italiano G, Guglielmo M, Fusini L, Guaricci AI, Maragna R, Giacari CM, Mushtaq S, Conte E, Annoni AD, Formenti A, Mancini ME, Andreini D, Rabbat M, Pepi M, Pontone G. Changing Paradigms in the Diagnosis of Ischemic Heart Disease by Multimodality Imaging. J Clin Med 2022; 11:jcm11030477. [PMID: 35159929 PMCID: PMC8836710 DOI: 10.3390/jcm11030477] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 11/24/2021] [Accepted: 01/13/2022] [Indexed: 02/01/2023] Open
Abstract
Coronary artery disease (CAD) represents the most common cardiovascular disease, with high morbidity and mortality. Historically patients with chest pain of suspected coronary origin have been assessed with functional tests, capable to detect haemodynamic consequences of coronary obstructions through depiction of electrocardiographic changes, myocardial perfusion defects or regional wall motion abnormalities under stress condition. Stress echocardiography (SE), single-photon emission computed tomography (SPECT), positron emission tomography (PET) and cardiovascular magnetic resonance (CMR) represent the functional techniques currently available, and technical developments contributed to increased diagnostic performance of these techniques. More recently, cardiac computed tomography angiography (cCTA) has been developed as a non-invasive anatomical test for a direct visualisation of coronary vessels and detailed description of atherosclerotic burden. Cardiovascular imaging techniques have dramatically enhanced our knowledge regarding physiological aspects and myocardial implications of CAD. Recently, after the publication of important trials, international guidelines recognised these changes, updating indications and level of recommendations. This review aims to summarise current standards with main novelties and specific limitations, and a diagnostic algorithm for up-to-date clinical management is also proposed.
Collapse
Affiliation(s)
- Andrea Baggiano
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.I.); (M.G.); (L.F.); (R.M.); (C.M.G.); (S.M.); (E.C.); (A.D.A.); (A.F.); (M.E.M.); (D.A.); (M.P.)
- Cardiovascular Section, Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
| | - Gianpiero Italiano
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.I.); (M.G.); (L.F.); (R.M.); (C.M.G.); (S.M.); (E.C.); (A.D.A.); (A.F.); (M.E.M.); (D.A.); (M.P.)
| | - Marco Guglielmo
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.I.); (M.G.); (L.F.); (R.M.); (C.M.G.); (S.M.); (E.C.); (A.D.A.); (A.F.); (M.E.M.); (D.A.); (M.P.)
| | - Laura Fusini
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.I.); (M.G.); (L.F.); (R.M.); (C.M.G.); (S.M.); (E.C.); (A.D.A.); (A.F.); (M.E.M.); (D.A.); (M.P.)
| | - Andrea Igoren Guaricci
- Department of Emergency and Organ Transplantation, Institute of Cardiovascular Disease, University Hospital Policlinico of Bari, 70124 Bari, Italy;
| | - Riccardo Maragna
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.I.); (M.G.); (L.F.); (R.M.); (C.M.G.); (S.M.); (E.C.); (A.D.A.); (A.F.); (M.E.M.); (D.A.); (M.P.)
| | - Carlo Maria Giacari
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.I.); (M.G.); (L.F.); (R.M.); (C.M.G.); (S.M.); (E.C.); (A.D.A.); (A.F.); (M.E.M.); (D.A.); (M.P.)
| | - Saima Mushtaq
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.I.); (M.G.); (L.F.); (R.M.); (C.M.G.); (S.M.); (E.C.); (A.D.A.); (A.F.); (M.E.M.); (D.A.); (M.P.)
| | - Edoardo Conte
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.I.); (M.G.); (L.F.); (R.M.); (C.M.G.); (S.M.); (E.C.); (A.D.A.); (A.F.); (M.E.M.); (D.A.); (M.P.)
- Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy
| | - Andrea Daniele Annoni
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.I.); (M.G.); (L.F.); (R.M.); (C.M.G.); (S.M.); (E.C.); (A.D.A.); (A.F.); (M.E.M.); (D.A.); (M.P.)
| | - Alberto Formenti
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.I.); (M.G.); (L.F.); (R.M.); (C.M.G.); (S.M.); (E.C.); (A.D.A.); (A.F.); (M.E.M.); (D.A.); (M.P.)
| | - Maria Elisabetta Mancini
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.I.); (M.G.); (L.F.); (R.M.); (C.M.G.); (S.M.); (E.C.); (A.D.A.); (A.F.); (M.E.M.); (D.A.); (M.P.)
| | - Daniele Andreini
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.I.); (M.G.); (L.F.); (R.M.); (C.M.G.); (S.M.); (E.C.); (A.D.A.); (A.F.); (M.E.M.); (D.A.); (M.P.)
- Cardiovascular Section, Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
| | - Mark Rabbat
- Division of Cardiology, Department of Medicine and Radiology, Loyola University of Chicago, Chicago, IL 60660, USA;
- Division of Cardiology, Department of Medicine, Edward Hines Jr. VA Hospital, Hines, IL 60141, USA
| | - Mauro Pepi
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.I.); (M.G.); (L.F.); (R.M.); (C.M.G.); (S.M.); (E.C.); (A.D.A.); (A.F.); (M.E.M.); (D.A.); (M.P.)
| | - Gianluca Pontone
- Cardiovascular Imaging Department, Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (A.B.); (G.I.); (M.G.); (L.F.); (R.M.); (C.M.G.); (S.M.); (E.C.); (A.D.A.); (A.F.); (M.E.M.); (D.A.); (M.P.)
- Correspondence: ; Tel.: +39-02-5800-2574; Fax: +39-02-5800-2231
| |
Collapse
|
26
|
Seraphim A, Knott KD, Augusto JB, Menacho K, Tyebally S, Dowsing B, Bhattacharyya S, Menezes LJ, Jones DA, Uppal R, Moon JC, Manisty C. Non-invasive Ischaemia Testing in Patients With Prior Coronary Artery Bypass Graft Surgery: Technical Challenges, Limitations, and Future Directions. Front Cardiovasc Med 2022; 8:795195. [PMID: 35004905 PMCID: PMC8733203 DOI: 10.3389/fcvm.2021.795195] [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] [Received: 10/14/2021] [Accepted: 11/25/2021] [Indexed: 01/09/2023] Open
Abstract
Coronary artery bypass graft (CABG) surgery effectively relieves symptoms and improves outcomes. However, patients undergoing CABG surgery typically have advanced coronary atherosclerotic disease and remain at high risk for symptom recurrence and adverse events. Functional non-invasive testing for ischaemia is commonly used as a gatekeeper for invasive coronary and graft angiography, and for guiding subsequent revascularisation decisions. However, performing and interpreting non-invasive ischaemia testing in patients post CABG is challenging, irrespective of the imaging modality used. Multiple factors including advanced multi-vessel native vessel disease, variability in coronary hemodynamics post-surgery, differences in graft lengths and vasomotor properties, and complex myocardial scar morphology are only some of the pathophysiological mechanisms that complicate ischaemia evaluation in this patient population. Systematic assessment of the impact of these challenges in relation to each imaging modality may help optimize diagnostic test selection by incorporating clinical information and individual patient characteristics. At the same time, recent technological advances in cardiac imaging including improvements in image quality, wider availability of quantitative techniques for measuring myocardial blood flow and the introduction of artificial intelligence-based approaches for image analysis offer the opportunity to re-evaluate the value of ischaemia testing, providing new insights into the pathophysiological processes that determine outcomes in this patient population.
Collapse
Affiliation(s)
- Andreas Seraphim
- Department of Cardiac Imaging, Barts Health National Health System Trust, London, United Kingdom.,Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Kristopher D Knott
- Department of Cardiac Imaging, Barts Health National Health System Trust, London, United Kingdom.,Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Joao B Augusto
- Department of Cardiac Imaging, Barts Health National Health System Trust, London, United Kingdom.,Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Katia Menacho
- Department of Cardiac Imaging, Barts Health National Health System Trust, London, United Kingdom.,Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Sara Tyebally
- Department of Cardiac Imaging, Barts Health National Health System Trust, London, United Kingdom
| | - Benjamin Dowsing
- Department of Cardiac Imaging, Barts Health National Health System Trust, London, United Kingdom.,Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Sanjeev Bhattacharyya
- Department of Cardiac Imaging, Barts Health National Health System Trust, London, United Kingdom
| | - Leon J Menezes
- Department of Cardiac Imaging, Barts Health National Health System Trust, London, United Kingdom
| | - Daniel A Jones
- Department of Cardiac Imaging, Barts Health National Health System Trust, London, United Kingdom.,William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | - Rakesh Uppal
- Department of Cardiac Imaging, Barts Health National Health System Trust, London, United Kingdom.,William Harvey Research Institute, Queen Mary University of London, London, United Kingdom
| | - James C Moon
- Department of Cardiac Imaging, Barts Health National Health System Trust, London, United Kingdom.,Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Charlotte Manisty
- Department of Cardiac Imaging, Barts Health National Health System Trust, London, United Kingdom.,Institute of Cardiovascular Science, University College London, London, United Kingdom
| |
Collapse
|
27
|
Franks R, Plein S, Chiribiri A. Clinical Application of Dynamic Contrast Enhanced Perfusion Imaging by Cardiovascular Magnetic Resonance. Front Cardiovasc Med 2021; 8:768563. [PMID: 34778420 PMCID: PMC8585782 DOI: 10.3389/fcvm.2021.768563] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 09/27/2021] [Indexed: 12/12/2022] Open
Abstract
Functionally significant coronary artery disease impairs myocardial blood flow and can be detected non-invasively by myocardial perfusion imaging. While multiple myocardial perfusion imaging modalities exist, the high spatial and temporal resolution of cardiovascular magnetic resonance (CMR), combined with its freedom from ionising radiation make it an attractive option. Dynamic contrast enhanced CMR perfusion imaging has become a well-validated non-invasive tool for the assessment and risk stratification of patients with coronary artery disease and is recommended by international guidelines. This article presents an overview of CMR perfusion imaging and its clinical application, with a focus on chronic coronary syndromes, highlighting its strengths and challenges, and discusses recent advances, including the emerging role of quantitative perfusion analysis.
Collapse
Affiliation(s)
- Russell Franks
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Sven Plein
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Amedeo Chiribiri
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| |
Collapse
|
28
|
Stress Cardiac Magnetic Resonance Myocardial Perfusion Imaging: JACC Review Topic of the Week. J Am Coll Cardiol 2021; 78:1655-1668. [PMID: 34649703 DOI: 10.1016/j.jacc.2021.08.022] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 08/08/2021] [Accepted: 08/18/2021] [Indexed: 11/22/2022]
Abstract
Stress cardiovascular magnetic resonance imaging (CMR) is a cost-effective, noninvasive test that accurately assesses myocardial ischemia, myocardial viability, and cardiac function without the need for ionizing radiation. There is a large body of literature, including randomized controlled trials, validating its diagnostic performance, risk stratification capabilities, and ability to guide appropriate use of coronary intervention. Specifically, stress CMR has shown higher diagnostic sensitivity than single-photon emission computed tomography imaging in detecting angiographically significant coronary artery disease. Stress CMR is particularly valuable for the evaluation of patients with moderate to high pretest probability of having stable ischemic heart disease and for patients known to have challenging imaging characteristics, including women, individuals with prior revascularization, and those with left ventricular dysfunction. This paper reviews the basics principles of stress CMR, the data supporting its clinical use, the added-value of myocardial blood flow quantification, and the assessment of myocardial function and viability routinely obtained during a stress CMR study.
Collapse
|
29
|
The Use of Subclinical Atherosclerosis Imaging to Guide Preventive Cardiology Management. Curr Cardiol Rep 2021; 23:61. [PMID: 33961134 DOI: 10.1007/s11886-021-01490-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/09/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE OF THE REVIEW Clinical atherosclerotic cardiovascular disease (ASCVD) requires years to manifest, providing a window of opportunity for preventive cardiovascular management. Subclinical atherosclerosis imaging leverages this long latency period to estimate and improve future ASCVD risk. RECENT FINDINGS Coronary artery calcium (CAC) scoring has the most robust data in the detection of subclinical atherosclerosis. CAC scan significantly enhances cardiovascular risk stratification in addition to traditional risk models. Coronary computed tomography angiography data show similar strengths in subclinical atherosclerosis detection in addition to plaque morphology characterization with inherent limitations. Carotid intima-media thickness and ankle-brachial index are other modalities whose predictive value becomes incremental when added to the aforementioned modalities. When added to traditional risk models, subclinical atherosclerosis imaging modalities personalize future ASCVD risk stratification and assist in the initiation and rate of intensification of preventive therapies. Emerging imaging techniques exist but further research is required for primetime clinical use.
Collapse
|
30
|
Kwong RY, Chandrashekhar Y. The Higher You Climb, the Better the View: Quantitative CMR Perfusion Mapping for CAD. JACC Cardiovasc Imaging 2020; 13:2700-2702. [DOI: 10.1016/j.jcmg.2020.11.001] [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: 11/15/2022]
|
31
|
The Trials and Tribulations of Conducting Stress CMR Quantitative Analysis Studies. JACC Cardiovasc Imaging 2020; 13:2558-2560. [DOI: 10.1016/j.jcmg.2020.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 08/27/2020] [Accepted: 09/02/2020] [Indexed: 11/18/2022]
|
32
|
Grosse-Wortmann L, Francois CJ, Sierra-Galan LM, Markl M, Sanz J, Carr J, Bucciarelli-Ducci C, Powell AJ. Highlights of the 2020 23rd Society for Cardiovascular Magnetic Resonance Scientific Sessions. J Cardiovasc Magn Reson 2020; 22:75. [PMID: 33121511 PMCID: PMC7596987 DOI: 10.1186/s12968-020-00672-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 09/10/2020] [Indexed: 11/10/2022] Open
Affiliation(s)
- Lars Grosse-Wortmann
- Division of Cardiology, Department of Pediatrics, Oregon Health and Science University, Portland, OR, USA.
- Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
- Doernbecher Children's Hospital, CDRC, 707 SW Gaines Street, Portland, OR, 97239, USA.
| | | | | | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA
| | - Javier Sanz
- Icahn School of Medicine At Mount Sinai, New York, NY, USA
| | - James Carr
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Chiara Bucciarelli-Ducci
- Clinical Research and Imaging Centre, University of Bristol, Bristol, UK
- NIHR Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Andrew J Powell
- Department of Cardiology, Boston Children's Hospital Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| |
Collapse
|