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Heins J, Salatzki J, Köhrer A, Ochs A, Weberling LD, Hund H, Giannitsis E, Frey N, Loßnitzer D, André F, Steen H. Safety of dobutamine stress cardiovascular magnetic resonance in patients with prior coronary artery bypass grafting. J Cardiovasc Magn Reson 2024:101119. [PMID: 39471913 DOI: 10.1016/j.jocmr.2024.101119] [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: 11/16/2023] [Revised: 10/07/2024] [Accepted: 10/22/2024] [Indexed: 11/01/2024] Open
Abstract
BACKGROUND AND PURPOSE Patients with coronary artery bypass grafts (CABG) face an elevated risk of major adverse cardiac events (MACE). High-dose dobutamine stress cardiovascular magnetic resonance imaging (DCMR) is a well-established technique to detect hemodynamically significant coronary artery disease (CAD). However, there is a lack of data regarding the safety of DCMR in patients with CABG. This study aims to evaluate the safety of DCMR in patients with CABG. METHODS We retrospectively studied patients after CABG who subsequently underwent DCMR between November 2008 and July 2018. Side effects, defined as adverse events and minor symptoms, during DCMR were analyzed and compared to 200 individuals matched for age, sex and BMI without prior CABG undergoing DCMR. RESULTS 336 patients (70±9 years, 85% men) were identified. Adverse events occurred in 35 CABG patients (10%) and 18 controls (9%, p=0.595). A drop of systolic blood pressure (SBP) >40mmHg (12 patients), non-sustained ventricular tachycardia (6 patients), increase in SBP >200mmHg (5 patients), monomorphic premature ventricular contractions (PVC) (2 patients), bigeminy (2 patients), left bundle-branch block (2 patients), as well as tachycardiac paroxysmal atrial fibrillation, bradycardia, supraventricular tachycardia, couplets/triplets, and sinus arrhythmia in one patient each occurred in the study group. In addition, one patient was hospitalized due to tachycardiac paroxysmal atrial fibrillation and transient ischemic attack. 29 (8.7%) examinations in the study group were aborted because of either chest pain, dyspnea, nausea, dizziness, a drop of SBP, arrhythmias, tachycardiac paroxysmal atrial fibrillation, monomorphic PVCs, or non-sustained ventricular tachycardia. The rate of aborted examination was comparable to the control group (15 (7.5%), p=0.631). Univariable logistic regression analysis revealed that female sex (OR 2.21, 95% CI 1.2 - 4.3, p=0.017) and inducible ischemia (OR 3.50, 95% CI 2.0 - 6.0, p<0.001) were associated with an increased risk of side effects during DCMR. CONCLUSION Dobutamine stress CMR did not show a relevant increase of adverse events in patients with prior CABG compared to patients without prior CABG. Female sex and dobutamine-induced myocardial ischemia are associated with side effects during DCMR.
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Affiliation(s)
- Jannick Heins
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany.
| | - Janek Salatzki
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Partner site Heidelberg/Mannheim, Germany
| | - Anne Köhrer
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany
| | - Andreas Ochs
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Partner site Heidelberg/Mannheim, Germany
| | - Lukas D Weberling
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Partner site Heidelberg/Mannheim, Germany
| | - Hauke Hund
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Partner site Heidelberg/Mannheim, Germany; GECKO Institute, Heilbronn University of Applied Sciences, Germany
| | - Evangelos Giannitsis
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Partner site Heidelberg/Mannheim, Germany
| | - Norbert Frey
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Partner site Heidelberg/Mannheim, Germany
| | - Dirk Loßnitzer
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Partner site Heidelberg/Mannheim, Germany
| | - Florian André
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Partner site Heidelberg/Mannheim, Germany
| | - Henning Steen
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; Medneo, Hamburg, Germany
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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; 34:5654-5665. [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] [MESH Headings] [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.
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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.
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Schwitter J. Quantitative myocardial perfusion and the power of numbers. Eur Heart J Cardiovasc Imaging 2024; 25:926-928. [PMID: 38651339 DOI: 10.1093/ehjci/jeae108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 04/15/2024] [Accepted: 04/16/2024] [Indexed: 04/25/2024] Open
Affiliation(s)
- Juerg Schwitter
- Division of Cardiology, Cardiovascular Department, University Hospital Lausanne, CHUV, Rue du Bugnon 46, 1011 Lausanne, Switzerland
- Cardiac MR Center and Interventional MR Center of the University Hospital Lausanne, CHUV, Rue du Bugnon 46, 1011 Lausanne, Switzerland
- Faculty of Biology and Medicine, Lausanne University, UniL, CH-1015 Lausanne, Switzerland
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Li M, Yuan DH, Yang Z, Lu TX, Zou XB. Serum cystatin C, monocyte/high-density lipoprotein-C ratio, and uric acid for the diagnosis of coronary heart disease and heart failure. World J Clin Cases 2024; 12:3461-3467. [PMID: 38983396 PMCID: PMC11229902 DOI: 10.12998/wjcc.v12.i18.3461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 04/26/2024] [Accepted: 05/10/2024] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND Coronary heart disease (CHD) and heart failure (HF) are the major causes of morbidity and mortality worldwide. Early and accurate diagnoses of CHD and HF are essential for optimal management and prognosis. However, conventional diagnostic methods such as electrocardiography, echocardiography, and cardiac biomarkers have certain limitations, such as low sensitivity, specificity, availability, and cost-effectiveness. Therefore, there is a need for simple, noninvasive, and reliable biomarkers to diagnose CHD and HF. AIM To investigate serum cystatin C (Cys-C), monocyte/high-density lipoprotein cholesterol ratio (MHR), and uric acid (UA) diagnostic values for CHD and HF. METHODS We enrolled 80 patients with suspected CHD or HF who were admitted to our hospital between July 2022 and July 2023. The patients were divided into CHD (n = 20), HF (n = 20), CHD + HF (n = 20), and control groups (n = 20). The serum levels of Cys-C, MHR, and UA were measured using immunonephelometry and an enzymatic method, respectively, and the diagnostic values for CHD and HF were evaluated using receiver operating characteristic (ROC) curve analysis. RESULTS Serum levels of Cys-C, MHR, and UA were significantly higher in the CHD, HF, and CHD + HF groups than those in the control group. The serum levels of Cys-C, MHR, and UA were significantly higher in the CHD + HF group than those in the CHD or HF group. The ROC curve analysis showed that serum Cys-C, MHR, and UA had good diagnostic performance for CHD and HF, with areas under the curve ranging from 0.78 to 0.93. The optimal cutoff values of serum Cys-C, MHR, and UA for diagnosing CHD, HF, and CHD+HF were 1.2 mg/L, 0.9 × 109, and 389 µmol/L; 1.4 mg/L, 1.0 × 109, and 449 µmol/L; and 1.6 mg/L, 1.1 × 109, and 508 µmol/L, respectively. CONCLUSION Serum Cys-C, MHR, and UA are useful biomarkers for diagnosing CHD and HF, and CHD+HF. These can provide information for decision-making and risk stratification in patients with CHD and HF.
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Affiliation(s)
- Ming Li
- Clinical Laboratory, Linquan County People's Hospital, Linquan 236400, Anhui Province, China
| | - Da-Hao Yuan
- Clinical Laboratory, Linquan County People's Hospital, Linquan 236400, Anhui Province, China
| | - Zhi Yang
- Clinical Laboratory, Linquan County People's Hospital, Linquan 236400, Anhui Province, China
| | - Teng-Xiang Lu
- Hemodialysis Center, Linquan County People's Hospital, Linquan 236400, Anhui Province, China
| | - Xiao-Biao Zou
- Cardiovascular Medicine, Linquan Country People’s Hospital, Linquan 236400, Anhui Province, China
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Endrikat J, Gutberlet M, Barkhausen J, Schöckel L, Bhatti A, Harz C, Hoffmann KT. Clinical Efficacy of Gadobutrol: Review of Over 25 Years of Use Exceeding 100 Million Administrations. Invest Radiol 2024; 59:345-358. [PMID: 37972293 DOI: 10.1097/rli.0000000000001041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
BACKGROUND Gadobutrol has been administered more than 100 million times worldwide, since February 1998, that is, over the last 25 years. Numerous clinical studies in a broad range of indications document the long-term experience with gadobutrol. OBJECTIVE The aim of this study was to provide a literature-based overview on gadobutrol's efficacy in 9 approved indications and use in children. MATERIALS AND METHODS Efficacy results in patients of all age groups including sensitivity, specificity, accuracy, and positive/negative predictive values were identified by a systematic literature search on Embase until December 31, 2022. Nine approved indications were considered: central nervous system (CNS), magnetic resonance angiography (MRA), breast, heart, prostate, kidney, liver, musculoskeletal, whole body, and various indications in children. RESULTS Sixty-five publications (10 phase III, 2 phase IV, 53 investigator-initiated studies) reported diagnostic efficacy results obtained from 7806 patients including 271 children, at 369 centers worldwide. Indication-specific sensitivity ranges were 59%-98% (CNS), 53%-100% (MRA), 80%-100% (breast), 64%-90% (heart), 64%-96% (prostate), 71-85 (kidney), 79%-100% (liver), 53%-98% (musculoskeletal), and 78%-100% (children). Indication-specific specificity ranges were 75%-100% (CNS), 64%-99% (MRA), 58%-98% (breast), and 47%-100% (heart). CONCLUSIONS The evaluated body of evidence, consisting of 65 studies with 7806 patients, including 271 children and 7535 adults, showed that gadobutrol is an efficacious magnetic resonance imaging contrast agent for all age groups in various approved indications throughout the whole body.
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Affiliation(s)
- Jan Endrikat
- From the Radiology, Bayer AG, Berlin, Germany (J.E., L.S., C.H.); Department of Gynecology, Obstetrics, and Reproductive Medicine, University Medical School of Saarland, Homburg/Saar, Germany (J.E.); Department of Diagnostic and Interventional Radiology, University of Leipzig, Heart Center, Leipzig, Germany (M.G.); Department of Radiology and Nuclear Medicine, University Hospital Schleswig Holstein-Campus Luebeck, Luebeck, Germany (J.B.); Bayer US LLC, Benefit-Risk Management Pharmacovigilance, Whippany, NJ (A.B.); and Department of Neuroradiology, University of Leipzig, Leipzig, Germany (K.-T.H.)
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Sun Y, Tian D, Lu H, Zhao S, Chen Y, Ge M, Zeng M, Jin H. Diagnostic performance of 3.0 T unenhanced Dixon water-fat separation coronary MR angiography in patients with low-to-intermediate risk of coronary artery disease. Magn Reson Imaging 2024; 107:8-14. [PMID: 38159873 DOI: 10.1016/j.mri.2023.12.005] [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] [Received: 10/06/2023] [Revised: 12/13/2023] [Accepted: 12/22/2023] [Indexed: 01/03/2024]
Abstract
PURPOSE To evaluate the diagnostic performance of 3.0 T unenhanced compressed-sensing sensitivity encoding (CS-SENSE) Dixon water-fat separation coronary MR angiography (CMRA) in patients with low-to-intermediate risk of coronary artery disease (CAD) and its ability to grade the severity of CAD based on Coronary Artery Disease Reporting and Data System (CAD-RADS). METHODS A total of 55 patients who was clinically evaluated as low-to-intermediate risk of CAD were finally included to undergo both 3.0 T CS-SENSE water-fat separation CMRA and coronary computed tomography angiography (CCTA), and 11 of them also underwent X-ray coronary angiography (CAG). The severity of coronary artery disease was graded in patients who had completed both CCTA and CMRA examinations by the use of CAD-RADS reports for the patients with stable chest pain, and the diagnostic consistency between the two approaches was evaluated. Diagnostic performance of CMRA was assessed using the combination of CCTA and CAG as the reference standard for excluding or confirming CAD respectively. RESULTS The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy of 3.0 T unenhanced water-fat separation coronary MRA were 90.0%, 95.0%, 81.8%, 97.4% and 94.0% for a patient-based analysis respectively. In comparison with CCTA, 3.0 T Dixon water-fat separation CMRA demonstrated excellent consistency in grading the severity of coronary heart disease according to CAD-RADS (0.77 for kappa value). CONCLUSION In the group of low-to-intermediate probability for CAD, 3.0 T unenhanced CS-SENSE Dixon water-fat separation CMRA can present satisfactory diagnostic performance for the exclusion of CAD with high sensitivity and negative predictive value as well as the evaluation of grading the severity of coronary artery disease.
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Affiliation(s)
- Yi Sun
- Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai 200032, China
| | - Di Tian
- Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai 200032, China
| | - Hongfei Lu
- Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai 200032, China
| | - Shihai Zhao
- Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai 200032, China; Department of Radiology, Zhongshan Hospital (Minhang Meilong Branch), Fudan University and Shanghai Geriatric Medical Center, Shanghai 200237, China
| | - Yinyin Chen
- Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai 200032, China
| | - Meiying Ge
- Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai 200032, China; Department of Radiology, Zhongshan Hospital (Minhang Meilong Branch), Fudan University and Shanghai Geriatric Medical Center, Shanghai 200237, China.
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai 200032, China; Department of Radiology, Zhongshan Hospital (Minhang Meilong Branch), Fudan University and Shanghai Geriatric Medical Center, Shanghai 200237, China
| | - Hang Jin
- Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai 200032, China; Department of Radiology, Zhongshan Hospital (Minhang Meilong Branch), Fudan University and Shanghai Geriatric Medical Center, Shanghai 200237, China
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Borodzicz-Jazdzyk S, Götte MJW. Letter to the Editor: "Fully automated pixel-wise quantitative CMR-myocardial perfusion with CMR-coronary angiography to detect hemodynamically significant coronary artery disease". Eur Radiol 2024; 34:2711-2713. [PMID: 37831141 DOI: 10.1007/s00330-023-10293-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 06/16/2023] [Accepted: 09/07/2023] [Indexed: 10/14/2023]
Affiliation(s)
- Sonia Borodzicz-Jazdzyk
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands
- 1St Department of Cardiology, Medical University of Warsaw, Warsaw, Poland
| | - Marco J W Götte
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Cardiovascular Sciences, De Boelelaan 1117, 1081 HV, Amsterdam, Netherlands.
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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.
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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
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Chow BJ, Galiwango P, Poulin A, Raggi P, Small G, Juneau D, Kazmi M, Ayach B, Beanlands RS, Sanfilippo AJ, Chow CM, Paterson DI, Chetrit M, Jassal DS, Connelly K, Larose E, Bishop H, Kass M, Anderson TJ, Haddad H, Mancini J, Doucet K, Daigle JS, Ahmadi A, Leipsic J, Lim SP, McRae A, Chou AY. Chest Pain Evaluation: Diagnostic Testing. CJC Open 2023; 5:891-903. [PMID: 38204849 PMCID: PMC10774086 DOI: 10.1016/j.cjco.2023.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 09/01/2023] [Indexed: 01/12/2024] Open
Abstract
Chest pain/discomfort (CP) is a common symptom and can be a diagnostic dilemma for many clinicians. The misdiagnosis of an acute or progressive chronic cardiac etiology may carry a significant risk of morbidity and mortality. This review summarizes the different options and modalities for establishing the diagnosis and severity of coronary artery disease. An effective test selection algorithm should be individually tailored to each patient to maximize diagnostic accuracy in a timely fashion, determine short- and long-term prognosis, and permit implementation of evidence-based treatments in a cost-effective manner. Through collaboration, a decision algorithm was developed (www.chowmd.ca/cadtesting) that could be adopted widely into clinical practice.
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Affiliation(s)
- Benjamin J.W. Chow
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
- Department of Radiology, University of Ottawa, Ottawa, Ontario, Canada
| | - Paul Galiwango
- Department of Medicine, Scarborough Health Network and Lakeridge Health, University of Toronto, Toronto, Ontario, Canada
| | - Anthony Poulin
- Department of Medicine, Quebec Heart and Lung Institute, Laval University, Quebec, Quebec, Canada
| | - Paolo Raggi
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Gary Small
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Daniel Juneau
- Department of Radiology and Nuclear Medicine, Centre Hospitalier de l'Université de Montréal, Montréal, Quebec, Canada
| | - Mustapha Kazmi
- Department of Cardiac Sciences, Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada
| | - Bilal Ayach
- Department of Medicine, Lakeridge Health, Queen’s University, Kingston, Ontario, Canada
| | - Rob S. Beanlands
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Anthony J. Sanfilippo
- Department of Medicine, Lakeridge Health, Queen’s University, Kingston, Ontario, Canada
| | - Chi-Ming Chow
- Division of Cardiology, St. Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - D. Ian Paterson
- Department of Medicine (Cardiology), University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Michael Chetrit
- Department of Cardiovascular Medicine, McGill University Health Centre, Montreal, Quebec, Canada
| | - Davinder S. Jassal
- Department of Physiology and Pathophysiology, Institute of Cardiovascular Sciences, St. Boniface Hospital Albrechtsen Research Centre, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Kim Connelly
- Division of Cardiology, St. Michael’s Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Eric Larose
- Department of Medicine, Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec, Quebec, Canada
| | - Helen Bishop
- Division of Cardiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Malek Kass
- Department of Internal Medicine, Rady Faculty of Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Todd J. Anderson
- Department of Cardiac Sciences, Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada
| | - Haissam Haddad
- Division of Cardiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - John Mancini
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Katie Doucet
- Peterborough Regional Health Centre, Kawartha Cardiology Clinic, Peterborough, Ontario, Canada
| | - Jean-Sebastien Daigle
- Department of Internal Medicine, Dr Everett Chalmers Hospital, Fredericton, New Brunswick, Canada
| | - Amir Ahmadi
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jonathan Leipsic
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Siok Ping Lim
- Mayfair Diagnostics, Saskatoon, Saskatchewan, Canada
| | - Andrew McRae
- Department of Cardiac Sciences, Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada
| | - Annie Y. Chou
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Radiology, St. Paul’s Hospital, Vancouver, British Columbia, Canada
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Arai AE, Schulz-Menger J, Shah DJ, Han Y, Bandettini WP, Abraham A, Woodard PK, Selvanayagam JB, Hamilton-Craig C, Tan RS, Carr J, Teo L, Kramer CM, Wintersperger BJ, Harisinghani MG, Flamm SD, Friedrich MG, Klem I, Raman SV, Haverstock D, Liu Z, Brueggenwerth G, Santiuste M, Berman DS, Pennell DJ. Stress Perfusion Cardiac Magnetic Resonance vs SPECT Imaging for Detection of Coronary Artery Disease. J Am Coll Cardiol 2023; 82:1828-1838. [PMID: 37914512 DOI: 10.1016/j.jacc.2023.08.046] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/16/2023] [Accepted: 08/23/2023] [Indexed: 11/03/2023]
Abstract
BACKGROUND GadaCAD2 was 1 of 2 international, multicenter, prospective, Phase 3 clinical trials that led to U.S. Food and Drug Administration approval of gadobutrol to assess myocardial perfusion and late gadolinium enhancement (LGE) in adults with known or suspected coronary artery disease (CAD). OBJECTIVES A prespecified secondary objective was to determine if stress perfusion cardiovascular magnetic resonance (CMR) was noninferior to single-photon emission computed tomography (SPECT) for detecting significant CAD and for excluding significant CAD. METHODS Participants with known or suspected CAD underwent a research rest and stress perfusion CMR that was compared with a gated SPECT performed using standard clinical protocols. For CMR, adenosine or regadenoson served as vasodilators. The total dose of gadobutrol was 0.1 mmol/kg body weight. The standard of reference was a 70% stenosis defined by quantitative coronary angiography (QCA). A negative coronary computed tomography angiography could exclude CAD. Analysis was per patient. CMR, SPECT, and QCA were evaluated by independent central core lab readers blinded to clinical information. RESULTS Participants were predominantly male (61.4% male; mean age 58.9 ± 10.2 years) and were recruited from the United States (75.0%), Australia (14.7%), Singapore (5.7%), and Canada (4.6%). The prevalence of significant CAD was 24.5% (n = 72 of 294). Stress perfusion CMR was statistically superior to gated SPECT for specificity (P = 0.002), area under the receiver operating characteristic curve (P < 0.001), accuracy (P = 0.003), positive predictive value (P < 0.001), and negative predictive value (P = 0.041). The sensitivity of CMR for a 70% QCA stenosis was noninferior and nonsuperior to gated SPECT. CONCLUSIONS Vasodilator stress perfusion CMR, as performed with gadobutrol 0.1 mmol/kg body weight, had superior diagnostic accuracy for diagnosis and exclusion of significant CAD vs gated SPECT.
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Affiliation(s)
| | - Jeanette Schulz-Menger
- Helios Klinikum Berlin Buch Klinik für Kardiologie und Nephrologie Abteilung Kardio-MRT, Berlin, Germany
| | - Dipan J Shah
- Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
| | - Yuchi Han
- The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Arun Abraham
- Royal Perth Hospital, Perth, Western Australia, Australia
| | - Pamela K Woodard
- Washington University School of Medicine, St Louis, Missouri, USA
| | | | | | - Ru-San Tan
- National Heart Centre Singapore, Singapore
| | - James Carr
- Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Lynette Teo
- National University Hospital, Singapore, Singapore
| | | | - Bernd J Wintersperger
- University of Toronto, Department of Medical Imaging, Toronto General Hospital, Toronto, Ontario, Canada
| | | | | | | | - Igor Klem
- Duke University, Durham, North Carolina, USA
| | - Subha V Raman
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | - Zheyu Liu
- Bayer Pharmaceuticals LLC, Whippany, New Jersey, USA
| | | | | | | | - Dudley J Pennell
- National Heart and Lung Institute, Imperial College, London, United Kingdom; Royal Brompton Hospital, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
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11
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Haney AC, Salatzki J, Hund H, Friedrich MG, Giannitsis E, Frey N, Steen H, Loßnitzer D, Riffel J, André F. Prognostic value of negative stress cardiac magnetic resonance imaging in patients with moderate-severe coronary artery stenosis. Front Cardiovasc Med 2023; 10:1264374. [PMID: 37868771 PMCID: PMC10588178 DOI: 10.3389/fcvm.2023.1264374] [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: 07/20/2023] [Accepted: 09/08/2023] [Indexed: 10/24/2023] Open
Abstract
Objective This study aims to evaluate the prognostic value of stress cardiac magnetic resonance (CMR) without inducible ischemia in a real-world cohort of patients with known severe coronary artery stenosis. Background The prognosis of patients with severe coronary artery stenosis and without inducible ischemia using stress CMR remains uncertain, even though its identification of functionally significant coronary artery disease (CAD) is excellent. Materials and methods Patients without inducible ischemia and known CAD who underwent stress CMR between February 2015 and December 2016 were included in this retrospective study. These patients were divided into two groups: group 1 with stenosis of 50%-75% and group 2 with stenosis of >75%. The primary endpoint was defined as the occurrence of a major adverse cardiovascular event (MACE) [cardiac death, non-fatal myocardial infarction (MI), percutaneous coronary intervention (PCI), or coronary artery bypass grafting (CABG)]. Results Real-world data collected from 169 patients with a median age of 69 (60-75) years were included. The median follow-up was 5.5 (IQR 4.1-6.6) years. Events occurred after a mean time of 3.0 ± 2.2 years in group 1 and 3.7 ± 2.0 years in group 2 (p = 0.35). Sixteen (18.8%) patients in group 1 and 23 (27.4%) patients in group 2 suffered from MACE without a significant difference between the two groups (p = 0.33). In group 2, one cardiac death (1.2%), seven non-fatal MI (8.3%), 15 PCI (17.9%), and one CABG (1.2%) occurred. Conclusion The findings of this pilot study suggest that long-term outcomes in a real-world patient cohort with known severe and moderate coronary artery stenosis but without inducible ischemia were similar. Stress CMR may provide valuable risk stratification in patients with angiographically significant but hemodynamically non-obstructive coronary lesions.
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Affiliation(s)
- Ailís Ceara Haney
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany
| | - Janek Salatzki
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Hauke Hund
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany
- GECKO Institute, Heilbronn University of Applied Sciences, Heilbronn, Germany
| | - Matthias G. Friedrich
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany
- Division of Cardiology, Departments of Medicine and Diagnostic Radiology, Mc-Gill University Health Centre, Montreal, QC, Canada
| | - Evangelos Giannitsis
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Norbert Frey
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Henning Steen
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Dirk Loßnitzer
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany
- First Department of Medicine-Cardiology, University Medical Centre MannheimMannheim, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, Mannheim, Germany
| | - Johannes Riffel
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany
- Division of Cardiology, Robert-Bosch-Medical Center Stuttgart, Stuttgart, Germany
| | - Florian André
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
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12
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Virani SS, Newby LK, Arnold SV, Bittner V, Brewer LC, Demeter SH, Dixon DL, Fearon WF, Hess B, Johnson HM, Kazi DS, Kolte D, Kumbhani DJ, LoFaso J, Mahtta D, Mark DB, Minissian M, Navar AM, Patel AR, Piano MR, Rodriguez F, Talbot AW, Taqueti VR, Thomas RJ, van Diepen S, Wiggins B, Williams MS. 2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. Circulation 2023; 148:e9-e119. [PMID: 37471501 DOI: 10.1161/cir.0000000000001168] [Citation(s) in RCA: 256] [Impact Index Per Article: 256.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
AIM The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease." METHODS A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. STRUCTURE This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.
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Affiliation(s)
| | | | | | | | | | | | - Dave L Dixon
- Former Joint Committee on Clinical Practice Guideline member; current member during the writing effort
| | - William F Fearon
- Society for Cardiovascular Angiography and Interventions representative
| | | | | | | | - Dhaval Kolte
- AHA/ACC Joint Committee on Clinical Data Standards
| | | | | | | | - Daniel B Mark
- Former Joint Committee on Clinical Practice Guideline member; current member during the writing effort
| | | | | | | | - Mariann R Piano
- Former Joint Committee on Clinical Practice Guideline member; current member during the writing effort
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13
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Virani SS, Newby LK, Arnold SV, Bittner V, Brewer LC, Demeter SH, Dixon DL, Fearon WF, Hess B, Johnson HM, Kazi DS, Kolte D, Kumbhani DJ, LoFaso J, Mahtta D, Mark DB, Minissian M, Navar AM, Patel AR, Piano MR, Rodriguez F, Talbot AW, Taqueti VR, Thomas RJ, van Diepen S, Wiggins B, Williams MS. 2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol 2023; 82:833-955. [PMID: 37480922 DOI: 10.1016/j.jacc.2023.04.003] [Citation(s) in RCA: 96] [Impact Index Per Article: 96.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/24/2023]
Abstract
AIM The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease." METHODS A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. STRUCTURE This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.
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14
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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.
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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
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15
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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.
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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
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16
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Flachskampf FA, Baron T. The Role of Novel Cardiac Imaging for Contemporary Management of Heart Failure. J Clin Med 2022; 11:6201. [PMID: 36294522 PMCID: PMC9605302 DOI: 10.3390/jcm11206201] [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: 09/08/2022] [Revised: 10/10/2022] [Accepted: 10/16/2022] [Indexed: 11/26/2022] Open
Abstract
Heart failure is becoming the central problem in cardiology. Its recognition, differential diagnosis, and the monitoring of therapy are intimately coupled with cardiac imaging. Cardiac imaging has witnessed an explosive growth and differentiation, with echocardiography continuing as the first diagnostic step; the echocardiographic exam itself has become considerably more complex than in the last century, with the assessment of diastolic left ventricular function and strain imaging contributing important information, especially in heart failure. Very often, however, echocardiography can only describe the fact of functional impairment and morphologic remodeling, whereas further clarification of the underlying disease, such as cardiomyopathy, myocarditis, storage diseases, sarcoidosis, and others, remains elusive. Here, cardiovascular magnetic resonance and perfusion imaging should be used judiciously to arrive as often as possible at a clear diagnosis which ideally enables specific therapy.
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Affiliation(s)
- Frank A. Flachskampf
- Department of Medical Sciences, Cardiology and Clinical Physiology, Uppsala University Hospital, Uppsala University, 751 85 Uppsala, Sweden
| | - Tomasz Baron
- Department of Medical Sciences, Cardiology and Clinical Physiology, Uppsala University Hospital, Uppsala University, 751 85 Uppsala, Sweden
- Uppsala Clinical Research Center, Uppsala University, 752 36 Uppsala, Sweden
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17
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Doeblin P, Jahnke C, Schneider M, Al-Tabatabaee S, Goetze C, Weiss KJ, Tanacli R, Faragli A, Witt U, Stehning C, Seidel F, Elsanhoury A, Kühne T, Tschöpe C, Pieske B, Kelle S. CMR findings after COVID-19 and after COVID-19-vaccination-same but different? Int J Cardiovasc Imaging 2022; 38:2057-2071. [PMID: 37726611 PMCID: PMC9097142 DOI: 10.1007/s10554-022-02623-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 04/15/2022] [Indexed: 01/05/2023]
Abstract
Cardiac involvement has been described in varying proportions of patients recovered from COVID-19 and proposed as a potential cause of prolonged symptoms, often described as post-COVID or long COVID syndrome. Recently, cardiac complications have been reported from COVID-19 vaccines as well. We aimed to compare CMR-findings in patients with clinical cardiac symptoms after COVID-19 and after vaccination. From May 2020 to May 2021, we included 104 patients with suspected cardiac involvement after COVID-19 who received a clinically indicated cardiac magnetic resonance (CMR) examination at a high-volume center. The mean time from first positive PCR to CMR was 112 ± 76 days. During their COVID-19 disease, 21% of patients required hospitalization, 17% supplemental oxygen and 7% mechanical ventilation. In 34 (32.7%) of patients, CMR provided a clinically relevant diagnosis: Isolated pericarditis in 10 (9.6%), %), acute myocarditis (both LLC) in 7 (6.7%), possible myocarditis (one LLC) in 5 (4.8%), ischemia in 4 (3.8%), recent infarction in 2 (1.9%), old infarction in 4 (3.8%), dilated cardiomyopathy in 3 (2.9%), hypertrophic cardiomyopathy in 2 (1.9%), aortic stenosis, pleural tumor and mitral valve prolapse each in 1 (1.0%). Between May 2021 and August 2021, we examined an additional 27 patients with suspected cardiac disease after COVID-19 vaccination. Of these, CMR provided at least one diagnosis in 22 (81.5%): Isolated pericarditis in 4 (14.8%), acute myocarditis in 9 (33.3%), possible myocarditis (acute or subsided) in 6 (22.2%), ischemia in 3 (37.5% out of 8 patients with stress test), isolated pericardial effusion (> 10 mm) and non-compaction-cardiomyopathy each in 1 (3.7%). The number of myocarditis diagnoses after COVID-19 was highly dependent on the stringency of the myocarditis criteria applied. When including only cases of matching edema and LGE and excluding findings in the right ventricular insertion site, the number of cases dropped from 7 to 2 while the number of cases after COVID-19 vaccination remained unchanged at 9. While myocarditis is an overall rare side effect after COVID-19 vaccination, it is currently the leading cause of myocarditis in our institution due to the large number of vaccinations applied over the last months. Contrary to myocarditis after vaccination, LGE and edema in myocarditis after COVID-19 often did not match or were confined to the RV-insertion site. Whether these cases truly represent myocarditis or a different pathological entity is to be determined in further studies.
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Affiliation(s)
- Patrick Doeblin
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
| | - Constantin Jahnke
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany
| | - Matthias Schneider
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany
- Department of Cardiology, Campus Virchow Klinikum, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Sarah Al-Tabatabaee
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany
| | - Collin Goetze
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany
| | - Karl J Weiss
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Radu Tanacli
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany
| | - Alessandro Faragli
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany
| | - Undine Witt
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany
| | | | - Franziska Seidel
- Department of Congenital Heart Disease, German Heart Center Berlin, Berlin, Germany
| | - Ahmed Elsanhoury
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
- BIH Berlin Institute of Health at Charite (BIH), BIH Center for Regenerative Therapies (BCRT) Universitätsmedizin Berlin, Berlin, Germany
| | - Titus Kühne
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
- Department of Congenital Heart Disease, German Heart Center Berlin, Berlin, Germany
| | - Carsten Tschöpe
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
- Department of Cardiology, Campus Virchow Klinikum, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
- BIH Berlin Institute of Health at Charite (BIH), BIH Center for Regenerative Therapies (BCRT) Universitätsmedizin Berlin, Berlin, Germany
| | - Burkert Pieske
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
- Department of Cardiology, Campus Virchow Klinikum, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
- BIH Berlin Institute of Health at Charite (BIH), BIH Center for Regenerative Therapies (BCRT) Universitätsmedizin Berlin, Berlin, Germany
| | - Sebastian Kelle
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
- Department of Cardiology, Campus Virchow Klinikum, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany
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Morales MA, Assana S, Cai X, Chow K, Haji-Valizadeh H, Sai E, Tsao C, Matos J, Rodriguez J, Berg S, Whitehead N, Pierce P, Goddu B, Manning WJ, Nezafat R. An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2022; 24:47. [PMID: 35948936 PMCID: PMC9367083 DOI: 10.1186/s12968-022-00879-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 07/21/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Exercise cardiovascular magnetic resonance (Ex-CMR) is a promising stress imaging test for coronary artery disease (CAD). However, Ex-CMR requires accelerated imaging techniques that result in significant aliasing artifacts. Our goal was to develop and evaluate a free-breathing and electrocardiogram (ECG)-free real-time cine with deep learning (DL)-based radial acceleration for Ex-CMR. METHODS A 3D (2D + time) convolutional neural network was implemented to suppress artifacts from aliased radial cine images. The network was trained using synthetic real-time radial cine images simulated using breath-hold, ECG-gated segmented Cartesian k-space data acquired at 3 T from 503 patients at rest. A prototype real-time radial sequence with acceleration rate = 12 was used to collect images with inline DL reconstruction. Performance was evaluated in 8 healthy subjects in whom only rest images were collected. Subsequently, 14 subjects (6 healthy and 8 patients with suspected CAD) were prospectively recruited for an Ex-CMR to evaluate image quality. At rest (n = 22), standard breath-hold ECG-gated Cartesian segmented cine and free-breathing ECG-free real-time radial cine images were acquired. During post-exercise stress (n = 14), only real-time radial cine images were acquired. Three readers evaluated residual artifact level in all collected images on a 4-point Likert scale (1-non-diagnostic, 2-severe, 3-moderate, 4-minimal). RESULTS The DL model substantially suppressed artifacts in real-time radial cine images acquired at rest and during post-exercise stress. In real-time images at rest, 89.4% of scores were moderate to minimal. The mean score was 3.3 ± 0.7, representing increased (P < 0.001) artifacts compared to standard cine (3.9 ± 0.3). In real-time images during post-exercise stress, 84.6% of scores were moderate to minimal, and the mean artifact level score was 3.1 ± 0.6. Comparison of left-ventricular (LV) measures derived from standard and real-time cine at rest showed differences in LV end-diastolic volume (3.0 mL [- 11.7, 17.8], P = 0.320) that were not significantly different from zero. Differences in measures of LV end-systolic volume (7.0 mL [- 1.3, 15.3], P < 0.001) and LV ejection fraction (- 5.0% [- 11.1, 1.0], P < 0.001) were significant. Total inline reconstruction time of real-time radial images was 16.6 ms per frame. CONCLUSIONS Our proof-of-concept study demonstrated the feasibility of inline real-time cine with DL-based radial acceleration for Ex-CMR.
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Affiliation(s)
- Manuel A Morales
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave., Boston, MA, 02215, USA
| | - Salah Assana
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave., Boston, MA, 02215, USA
| | - Xiaoying Cai
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave., Boston, MA, 02215, USA
- Siemens Medical Solutions USA, Inc, Chicago, IL, USA
| | - Kelvin Chow
- Siemens Medical Solutions USA, Inc, Chicago, IL, USA
| | - Hassan Haji-Valizadeh
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave., Boston, MA, 02215, USA
| | - Eiryu Sai
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave., Boston, MA, 02215, USA
| | - Connie Tsao
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave., Boston, MA, 02215, USA
| | - Jason Matos
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave., Boston, MA, 02215, USA
| | - Jennifer Rodriguez
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave., Boston, MA, 02215, USA
| | - Sophie Berg
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave., Boston, MA, 02215, USA
| | - Neal Whitehead
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave., Boston, MA, 02215, USA
| | - Patrick Pierce
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave., Boston, MA, 02215, USA
| | - Beth Goddu
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave., Boston, MA, 02215, USA
| | - Warren J Manning
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave., Boston, MA, 02215, USA
- Department of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Reza Nezafat
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave., Boston, MA, 02215, USA.
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19
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Driessen RS, van Diemen PA, Raijmakers PG, Knuuti J, Maaniitty T, Underwood SR, Nagel E, Robbers LFHJ, Demirkiran A, von Bartheld MB, van de Ven PM, Hofstra L, Somsen GA, Tulevski II, Boellaard R, van Rossum AC, Danad I, Knaapen P. Functional stress imaging to predict abnormal coronary fractional flow reserve: the PACIFIC 2 study. Eur Heart J 2022; 43:3118-3128. [PMID: 35708168 PMCID: PMC9433308 DOI: 10.1093/eurheartj/ehac286] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 03/31/2022] [Accepted: 05/17/2022] [Indexed: 12/20/2022] Open
Abstract
AIMS The diagnostic performance of non-invasive imaging in patients with prior coronary artery disease (CAD) has not been tested in prospective head-to-head comparative studies. The aim of this study was to compare the diagnostic performance of qualitative single-photon emission computed tomography (SPECT), quantitative positron emission tomography (PET), and qualitative magnetic resonance imaging (MRI) in patients with a prior myocardial infarction (MI) or percutaneous coronary intervention (PCI). METHODS AND RESULTS In this prospective clinical study, all patients with prior MI and/or PCI and new symptoms of ischaemic CAD underwent 99mTc-tetrofosmin SPECT, [15O]H2O PET, and MRI, followed by invasive coronary angiography with fractional flow reserve (FFR) in all coronary arteries. All modalities were interpreted by core laboratories. Haemodynamically significant CAD was defined by at least one coronary artery with an FFR ≤0.80. Among the 189 enrolled patients, 63% had significant CAD. Sensitivity was 67% (95% confidence interval 58-76%) for SPECT, 81% (72-87%) for PET, and 66% (56-75%) for MRI. Specificity was 61% (48-72%) for SPECT, 65% (53-76%) for PET, and 62% (49-74%) for MRI. Sensitivity of PET was higher than SPECT (P = 0.016) and MRI (P = 0.014), whereas specificity did not differ among the modalities. Diagnostic accuracy for PET (75%, 68-81%) did not statistically differ from SPECT (65%, 58-72%, P = 0.03) and MRI (64%, 57-72%, P = 0.052). Using FFR < 0.75 as a reference, accuracies increased to 69% (SPECT), 79% (PET), and 71% (MRI). CONCLUSION In this prospective head-to-head comparative study, SPECT, PET, and MRI did not show a significantly different accuracy for diagnosing FFR defined significant CAD in patients with prior PCI and/or MI. Overall diagnostic performances, however, were discouraging and the additive value of non-invasive imaging in this high-risk population is questionable.
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Affiliation(s)
- Roel S Driessen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Pepijn A van Diemen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Pieter G Raijmakers
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Juhani Knuuti
- Department of Clinical Physiology, Nuclear Medicine and PET and Turku PET Centre, Turku University Hospital, Kiinamyllynkatu 4-8, FI-20520 Turku, Finland
| | - Teemu Maaniitty
- Department of Clinical Physiology, Nuclear Medicine and PET and Turku PET Centre, Turku University Hospital, Kiinamyllynkatu 4-8, FI-20520 Turku, Finland
| | - S Richard Underwood
- Department of Nuclear Medicine, Royal Brompton Hospital, Sydney St, London SW3 6NP, UK
| | - Eike Nagel
- Institute for Experimental and Translational Cardiovascular Imaging, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Lourens F H J Robbers
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Ahmet Demirkiran
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Martin B von Bartheld
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Peter M van de Ven
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Leonard Hofstra
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands.,Department of Cardiology, Cardiology Centers of the Netherlands, 1073 TB Amsterdam, The Netherlands
| | - G Aernout Somsen
- Department of Cardiology, Cardiology Centers of the Netherlands, 1073 TB Amsterdam, The Netherlands
| | - Igor I Tulevski
- Department of Cardiology, Cardiology Centers of the Netherlands, 1073 TB Amsterdam, The Netherlands
| | - Ronald Boellaard
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Albert C van Rossum
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Ibrahim Danad
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Paul Knaapen
- Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
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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.
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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
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21
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Muscogiuri G, Guglielmo M, Serra A, Gatti M, Volpato V, Schoepf UJ, Saba L, Cau R, Faletti R, McGill LJ, De Cecco CN, Pontone G, Dell’Aversana S, Sironi S. Multimodality Imaging in Ischemic Chronic Cardiomyopathy. J Imaging 2022; 8:jimaging8020035. [PMID: 35200737 PMCID: PMC8877428 DOI: 10.3390/jimaging8020035] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 01/23/2022] [Accepted: 01/27/2022] [Indexed: 02/01/2023] Open
Abstract
Ischemic chronic cardiomyopathy (ICC) is still one of the most common cardiac diseases leading to the development of myocardial ischemia, infarction, or heart failure. The application of several imaging modalities can provide information regarding coronary anatomy, coronary artery disease, myocardial ischemia and tissue characterization. In particular, coronary computed tomography angiography (CCTA) can provide information regarding coronary plaque stenosis, its composition, and the possible evaluation of myocardial ischemia using fractional flow reserve CT or CT perfusion. Cardiac magnetic resonance (CMR) can be used to evaluate cardiac function as well as the presence of ischemia. In addition, CMR can be used to characterize the myocardial tissue of hibernated or infarcted myocardium. Echocardiography is the most widely used technique to achieve information regarding function and myocardial wall motion abnormalities during myocardial ischemia. Nuclear medicine can be used to evaluate perfusion in both qualitative and quantitative assessment. In this review we aim to provide an overview regarding the different noninvasive imaging techniques for the evaluation of ICC, providing information ranging from the anatomical assessment of coronary artery arteries to the assessment of ischemic myocardium and myocardial infarction. In particular this review is going to show the different noninvasive approaches based on the specific clinical history of patients with ICC.
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Affiliation(s)
- Giuseppe Muscogiuri
- Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, University Milano Bicocca, 20149 Milan, Italy
- Correspondence: ; Tel.: +39-329-404-9840
| | - Marco Guglielmo
- Department of Cardiology, Division of Heart and Lungs, Utrecht University, Utrecht University Medical Center, 3584 Utrecht, The Netherlands;
| | - Alessandra Serra
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, 09042 Cagliari, Italy; (A.S.); (L.S.); (R.C.)
| | - Marco Gatti
- Radiology Unit, Department of Surgical Sciences, University of Turin, 10124 Turin, Italy; (M.G.); (R.F.)
| | - Valentina Volpato
- Department of Cardiac, Neurological and Metabolic Sciences, Istituto Auxologico Italiano IRCCS, San Luca Hospital, University Milano Bicocca, 20149 Milan, Italy;
| | - Uwe Joseph Schoepf
- Department of Radiology and Radiological Science, MUSC Ashley River Tower, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA; (U.J.S.); (L.J.M.)
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, 09042 Cagliari, Italy; (A.S.); (L.S.); (R.C.)
| | - Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, 09042 Cagliari, Italy; (A.S.); (L.S.); (R.C.)
| | - Riccardo Faletti
- Radiology Unit, Department of Surgical Sciences, University of Turin, 10124 Turin, Italy; (M.G.); (R.F.)
| | - Liam J. McGill
- Department of Radiology and Radiological Science, MUSC Ashley River Tower, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA; (U.J.S.); (L.J.M.)
| | - Carlo Nicola De Cecco
- Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA 30322, USA;
| | | | - Serena Dell’Aversana
- Department of Radiology, Ospedale S. Maria Delle Grazie—ASL Napoli 2 Nord, 80078 Pozzuoli, Italy;
| | - Sandro Sironi
- School of Medicine and Post Graduate School of Diagnostic Radiology, University of Milano-Bicocca, 20126 Milan, Italy;
- Department of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
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22
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Gaibazzi N, Tuttolomondo D, Guaricci AI, De Marco F, Pontone G. Stress-echocardiography or coronary computed tomography in suspected chronic coronary syndrome after the 2019 European Guidelines? A practical guide. J Cardiovasc Med (Hagerstown) 2022; 23:12-21. [PMID: 34366402 DOI: 10.2459/jcm.0000000000001235] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Stress-echocardiography can rightly be considered one of the champions of cardiac functional imaging, thanks to its real-time imaging, high temporal resolution, high safety and very low cost. When stress-echocardiography is performed at top technical quality, hence taking advantage of ultrasound contrast media for endocardial border delineation at least for suboptimal cases, subjectivity is minimized, and with the routine use of coronary flow reserve measurement (left anterior descending coronary artery, stress/rest ratio reduced or normal, i.e. <>2.0) diagnostic sensitivity is strengthened. The true competitor of any type of functional imaging, stress-echocardiography included, is nowadays coronary computed tomography angiography, which is instead a diagnostic method directly, noninvasively assessing coronary anatomy, apparently the holy grail for any cardiologist. The new 2019 Guidelines on chronic coronary syndrome of the European Society of Cardiology change the existing landscape and clinical practice, while they probably cannot clarify which type of test, functional or anatomic, should be first chosen in different clinical scenarios of suspected chronic coronary syndrome. We review the existing data and the authors' personal view in order to assess how functional stress-echocardiography compares with coronary computed tomography angiography regarding three main aspects: diagnosis of coronary artery disease, guidance of therapy (coronary revascularization versus medical therapy) and risk stratification.
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Affiliation(s)
| | | | | | - Federico De Marco
- Department of Clinical and Interventional Cardiology, IRCCS Policlinico San Donato, San Donato Milanese
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23
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Gulati M, Levy PD, Mukherjee D, Amsterdam E, Bhatt DL, Birtcher KK, Blankstein R, Boyd J, Bullock-Palmer RP, Conejo T, Diercks DB, Gentile F, Greenwood JP, Hess EP, Hollenberg SM, Jaber WA, Jneid H, Joglar JA, Morrow DA, O'Connor RE, Ross MA, Shaw LJ. 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Cardiovasc Comput Tomogr 2022; 16:54-122. [PMID: 34955448 DOI: 10.1016/j.jcct.2021.11.009] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
AIM This clinical practice guideline for the evaluation and diagnosis of chest pain provides recommendations and algorithms for clinicians to assess and diagnose chest pain in adult patients. METHODS A comprehensive literature search was conducted from November 11, 2017, to May 1, 2020, encompassing randomized and nonrandomized trials, observational studies, registries, reviews, and other evidence conducted on human subjects that were published in English from PubMed, EMBASE, the Cochrane Collaboration, Agency for Healthcare Research and Quality reports, and other relevant databases. Additional relevant studies, published through April 2021, were also considered. STRUCTURE Chest pain is a frequent cause for emergency department visits in the United States. The "2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain" provides recommendations based on contemporary evidence on the assessment and evaluation of chest pain. This guideline presents an evidence-based approach to risk stratification and the diagnostic workup for the evaluation of chest pain. Cost-value considerations in diagnostic testing have been incorporated, and shared decision-making with patients is recommended.
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24
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Daubenspeck D, Chaney MA. CLINICAL IMPORTANCE OF QUANTITATIVE ASSESSMENT OF MYOCARDIAL BLOOD FLOW. J Cardiothorac Vasc Anesth 2022; 36:1511-1515. [DOI: 10.1053/j.jvca.2022.01.030] [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: 01/16/2022] [Accepted: 01/19/2022] [Indexed: 11/11/2022]
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25
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Wang K, Zhang W, Li S, Bi X, Schmidt M, An J, Zheng J, Cheng J. Prognosis in patients with coronary heart disease and breath-holding limitations: a free-breathing cardiac magnetic resonance protocol at 3.0 T. BMC Cardiovasc Disord 2021; 21:580. [PMID: 34876015 PMCID: PMC8650562 DOI: 10.1186/s12872-021-02402-x] [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: 08/08/2021] [Accepted: 11/24/2021] [Indexed: 11/18/2022] Open
Abstract
Background and purpose Conventional cardiac magnetic resonance (CCMR) imaging is usually performed with breath-holding (BH), which is adverse in patients with BH limitations. We explored the ability of a free-breathing CMR (fCMR) protocol to prognosticate in patients with coronary heart diseases (CHD) and limited BH ability.
Methods Sixty-seven patients with CHD and limited BH abilities were prospectively enrolled in this study. All patients underwent comprehensive fCMR imaging at 3.0 T. The fCMR protocols included compressed sensing (CS) single-shot cine acceleration imaging, and motion-corrected (MOCO), single-shot late gadolinium enhancement (LGE) imaging. Image quality (IQ) of the cine and LGE images was evaluated based on the 5-point Likert scale. The value of fMRI in providing a prognosis in patients with CHD was assessed. Statistical methods included the T test, Mann–Whitney test, Kappa test, Kaplan–Meier curve, Log-rank test, Cox proportional hazard regression analysis, and receiver operating characteristic curves. Results All IQ scores of the short axis CS-cine and both the short and long axes MOCO LGE images were ≥ 3 points. Over a median follow-up of 31 months (range 3.8–38.2), 25 major adverse cardiovascular events (MACE) occurred. In the univariate analysis, infarction size (IS), left ventricular ejection fraction (LVEF), 3D-Global peak longitudinal strain (3D-GPLS), heart failure classification were significantly associated with MACE. When the significantly univariate MACE predictors, added to the multivariate analysis, which showed IS (HR 1.02; 95% CI 1.00–1.05; p = 0.048) and heart failure with preserved EF (HR 0.20; 95% CI 0.04–0.98; p = 0.048) correlated positively with MACE. The optimal cutoff value for LVEF, 3D-GPLS, and IS in predicting MACE was 34.2%, − 5.7%, and 26.1% respectively, with a sensitivity of 90.5%, 64%, and 96.0% and specificity of 72%, 95.2%, and 85.7% respectively. Conclusions The fCMR protocol can be used to make prognostic assessments in patients with CHD and BH limitations by calculating IS and LVEF.
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Affiliation(s)
- Keyan Wang
- MRI Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Wenbo Zhang
- MRI Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shuman Li
- MRI Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoming Bi
- Siemens Medical Solulations USA, Inc., Los Angeles, USA
| | | | - Jing An
- Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China
| | - Jie Zheng
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Jingliang Cheng
- MRI Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
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26
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Gulati M, Levy PD, Mukherjee D, Amsterdam E, Bhatt DL, Birtcher KK, Blankstein R, Boyd J, Bullock-Palmer RP, Conejo T, Diercks DB, Gentile F, Greenwood JP, Hess EP, Hollenberg SM, Jaber WA, Jneid H, Joglar JA, Morrow DA, O'Connor RE, Ross MA, Shaw LJ. 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol 2021; 78:e187-e285. [PMID: 34756653 DOI: 10.1016/j.jacc.2021.07.053] [Citation(s) in RCA: 354] [Impact Index Per Article: 118.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
AIM This clinical practice guideline for the evaluation and diagnosis of chest pain provides recommendations and algorithms for clinicians to assess and diagnose chest pain in adult patients. METHODS A comprehensive literature search was conducted from November 11, 2017, to May 1, 2020, encompassing randomized and nonrandomized trials, observational studies, registries, reviews, and other evidence conducted on human subjects that were published in English from PubMed, EMBASE, the Cochrane Collaboration, Agency for Healthcare Research and Quality reports, and other relevant databases. Additional relevant studies, published through April 2021, were also considered. STRUCTURE Chest pain is a frequent cause for emergency department visits in the United States. The "2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain" provides recommendations based on contemporary evidence on the assessment and evaluation of chest pain. This guideline presents an evidence-based approach to risk stratification and the diagnostic workup for the evaluation of chest pain. Cost-value considerations in diagnostic testing have been incorporated, and shared decision-making with patients is recommended.
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2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain: Executive Summary: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol 2021; 78:2218-2261. [PMID: 34756652 DOI: 10.1016/j.jacc.2021.07.052] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
AIM This executive summary of the clinical practice guideline for the evaluation and diagnosis of chest pain provides recommendations and algorithms for clinicians to assess and diagnose chest pain in adult patients. METHODS A comprehensive literature search was conducted from November 11, 2017, to May 1, 2020, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from PubMed, EMBASE, the Cochrane Collaboration, Agency for Healthcare Research and Quality reports, and other relevant databases. Additional relevant studies, published through April 2021, were also considered. STRUCTURE Chest pain is a frequent cause for emergency department visits in the United States. The "2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain" provides recommendations based on contemporary evidence on the assessment and evaluation of chest pain. These guidelines present an evidence-based approach to risk stratification and the diagnostic workup for the evaluation of chest pain. Cost-value considerations in diagnostic testing have been incorporated and shared decision-making with patients is recommended.
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28
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Gulati M, Levy PD, Mukherjee D, Amsterdam E, Bhatt DL, Birtcher KK, Blankstein R, Boyd J, Bullock-Palmer RP, Conejo T, Diercks DB, Gentile F, Greenwood JP, Hess EP, Hollenberg SM, Jaber WA, Jneid H, Joglar JA, Morrow DA, O'Connor RE, Ross MA, Shaw LJ. 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation 2021; 144:e368-e454. [PMID: 34709879 DOI: 10.1161/cir.0000000000001029] [Citation(s) in RCA: 168] [Impact Index Per Article: 56.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
AIM This clinical practice guideline for the evaluation and diagnosis of chest pain provides recommendations and algorithms for clinicians to assess and diagnose chest pain in adult patients. METHODS A comprehensive literature search was conducted from November 11, 2017, to May 1, 2020, encompassing randomized and nonrandomized trials, observational studies, registries, reviews, and other evidence conducted on human subjects that were published in English from PubMed, EMBASE, the Cochrane Collaboration, Agency for Healthcare Research and Quality reports, and other relevant databases. Additional relevant studies, published through April 2021, were also considered. Structure: Chest pain is a frequent cause for emergency department visits in the United States. The "2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain" provides recommendations based on contemporary evidence on the assessment and evaluation of chest pain. This guideline presents an evidence-based approach to risk stratification and the diagnostic workup for the evaluation of chest pain. Cost-value considerations in diagnostic testing have been incorporated, and shared decision-making with patients is recommended.
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29
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Gulati M, Levy PD, Mukherjee D, Amsterdam E, Bhatt DL, Birtcher KK, Blankstein R, Boyd J, Bullock-Palmer RP, Conejo T, Diercks DB, Gentile F, Greenwood JP, Hess EP, Hollenberg SM, Jaber WA, Jneid H, Joglar JA, Morrow DA, O'Connor RE, Ross MA, Shaw LJ. 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain: Executive Summary: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation 2021; 144:e368-e454. [PMID: 34709928 DOI: 10.1161/cir.0000000000001030] [Citation(s) in RCA: 93] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
AIM This executive summary of the clinical practice guideline for the evaluation and diagnosis of chest pain provides recommendations and algorithms for clinicians to assess and diagnose chest pain in adult patients. METHODS A comprehensive literature search was conducted from November 11, 2017, to May 1, 2020, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from PubMed, EMBASE, the Cochrane Collaboration, Agency for Healthcare Research and Quality reports, and other relevant databases. Additional relevant studies, published through April 2021, were also considered. Structure: Chest pain is a frequent cause for emergency department visits in the United States. The "2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain" provides recommendations based on contemporary evidence on the assessment and evaluation of chest pain. These guidelines present an evidence-based approach to risk stratification and the diagnostic workup for the evaluation of chest pain. Cost-value considerations in diagnostic testing have been incorporated and shared decision-making with patients is recommended.
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30
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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: 67] [Impact Index Per Article: 22.3] [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.
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31
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Holm N, Nagel E. Novel Approaches Toward a Physiological Stress Test Without Contrast Agent for CMR Imaging. JACC Cardiovasc Imaging 2021; 14:1945-1947. [PMID: 34620467 DOI: 10.1016/j.jcmg.2021.07.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 07/22/2021] [Accepted: 07/29/2021] [Indexed: 11/26/2022]
Affiliation(s)
- Niels Holm
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, University Hospital Frankfurt, Frankfurt AM Main, Germany
| | - Eike Nagel
- Institute for Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, University Hospital Frankfurt, Frankfurt AM Main, Germany.
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32
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Kramer CM. Stress Cardiac Magnetic Resonance, Revascularization, and All-Cause Mortality: Do We Have a Final Answer? Circ Cardiovasc Imaging 2021; 14:e013512. [PMID: 34610758 PMCID: PMC10472114 DOI: 10.1161/circimaging.121.013512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Christopher M Kramer
- Cardiovascular Division, Department of Medicine, University of Virginia Health, Charlottesville, VA
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Schuster A, Thiele H, Katus H, Werdan K, Eitel I, Zeiher AM, Baldus S, Rolf A, Kelle S. Kompetenz und Innovation in der kardiovaskulären MRT: Stellungnahme der Deutschen Gesellschaft für Kardiologie – Herz- und Kreislaufforschung. DER KARDIOLOGE 2021. [PMCID: PMC8361824 DOI: 10.1007/s12181-021-00494-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Diese Stellungnahme der Deutschen Gesellschaft für Kardiologie (DGK) beschäftigt sich mit der Bedeutung kardiologischer Kompetenz im Gebiet der kardiovaskulären Magnetresonanztomographie (CMR) und deren Aus- und Wechselwirkungen auf klinisches Management im Bereich der Diagnostik, Therapieplanung und Therapie von kardiologischen Patienten. Zahlreiche Innovationen sowohl im technischen als auch klinischen Bereich der CMR basieren auf Publikationen deutscher und europäischer Kardiologen und haben Einzug in die nationalen, europäischen und auch US-amerikanischen Leitlinien gefunden. Hier sollen Empfehlungen zur sicheren, qualitativ hochwertigen und kompetenten Durchführung von CMR-Untersuchungen gegeben werden, im Sinne einer optimalen Nutzung dieser Technik mit unmittelbarer klinischer Einordnung des Untersuchungsergebnisses für die Planung einer Therapiestrategie des kardiovaskulär erkrankten Patienten.
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Affiliation(s)
- Andreas Schuster
- Herzzentrum, Klinik für Kardiologie und Pneumologie, Universitätsmedizin Göttingen, Georg-August-Universität Göttingen, Robert-Koch-Str. 40, 37099 Göttingen, Deutschland
- Partner Site Göttingen, Deutsches Zentrum für Herz-Kreislauf-Forschung, Göttingen, Deutschland
| | - Holger Thiele
- Herzzentrum Leipzig, Klinik für Innere Medizin und Kardiologie, Universität Leipzig, Leipzig, Deutschland
- Leipzig Heart Science gGmbH, Leipzig, Deutschland
| | - Hugo Katus
- Medizinische Klinik III, Universitätsklinikum Heidelberg, Heidelberg, Deutschland
| | - Karl Werdan
- Klinik und Poliklinik für Innere Medizin III, Universitätsklinikum Halle (Saale), Halle (Saale), Deutschland
| | - Ingo Eitel
- Medizinische Klinik II – Universitäres Herzzentrum Lübeck, Universitätsklinikum Schleswig-Holstein, Lübeck, Deutschland
| | - Andreas M. Zeiher
- Klinik für Kardiologie, Universitätsklinikum Frankfurt, Frankfurt, Deutschland
| | - Stephan Baldus
- Medizinische Klinik III – Abteilung für Kardiologie, Pneumologie, Angiologie und Intensivmedizin, Universität Köln, Köln, Deutschland
| | - Andreas Rolf
- Klinik für Kardiologie, Herz‑, Lungen‑, Gefäß- und Rheumazentrum, Kerckhoff-Klinik, Bad Nauheim, Deutschland
| | - Sebastian Kelle
- Deutsches Herzzentrum Berlin, Berlin, Deutschland
- Klinik für Innere Medizin und Kardiologie, Charité Universitätsmedizin Berlin, Augustenburger Platz 1, Berlin, Deutschland
- Partner Site Berlin, Deutsches Zentrum für Herz-Kreislauf-Forschung, Berlin, Deutschland
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34
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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.
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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]
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36
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Kwong RY, Heydari B. GadaCAD. J Am Coll Cardiol 2020; 76:1548-1550. [DOI: 10.1016/j.jacc.2020.08.029] [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: 08/12/2020] [Accepted: 08/14/2020] [Indexed: 10/23/2022]
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