1
|
Kato S, Azuma M, Nakayama N, Fukui K, Ito M, Saito N, Horita N, Utsunomiya D. Diagnostic accuracy of whole heart coronary magnetic resonance angiography: a systematic review and meta-analysis. J Cardiovasc Magn Reson 2023; 25:36. [PMID: 37357310 PMCID: PMC10291762 DOI: 10.1186/s12968-023-00949-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 06/15/2023] [Indexed: 06/27/2023] Open
Abstract
BACKGROUND The purpose of this meta-analysis was to comprehensively investigate the diagnostic ability of 1.5 T and 3.0 T whole heart coronary angiography (WHCA) to detect significant coronary artery disease (CAD) on X-ray coronary angiography. METHODS A literature search of electronic databases, including PubMed, Web of Science Core Collection, Cochrane advanced search, and EMBASE, was performed to retrieve and integrate articles showing significant CAD detectability of 1.5 and 3.0 T WHCA. RESULTS Data from 1899 patients from 34 studies were included in the meta-analysis. 1.5 T WHCA had a summary area under ROC of 0.88 in the patient-based analysis, 0.90 in the vessel-based analysis, and 0.92 in the segment-based analysis. These values for 3.0 T WHCA were 0.94, 0.95, 0.96, respectively. Contrast-enhanced 3.0 T WHCA had significantly higher specificity than non-contrast-enhanced 1.5 T WHCA on a patient-based analysis (0.87, 95% CI 0.80-0.92 vs. 0.74, 95% CI 0.64-0.82, P = 0.02). There were no differences in diagnostic performance on a patient-based analysis by use of vasodilators, beta-blockers or between Asian and Western countries. CONCLUSIONS The diagnostic performance of WHCA was deemed satisfactory, with contrast-enhanced 3.0 T WHCA exhibiting higher specificity compared to non-contrast-enhanced 1.5 T WHCA in a patient-based analysis. There were no significant differences in diagnostic performance on a patient-based analysis in terms of vasodilator or beta-blocker use, nor between Asian and Western countries. However, further large-scale multicentre studies are crucial for the widespread global adoption of WHCA.
Collapse
Affiliation(s)
- Shingo Kato
- Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
| | - Mai Azuma
- Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan
| | - Naoki Nakayama
- Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan
| | - Kazuki Fukui
- Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan
| | - Masanori Ito
- Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Japan
| | - Naka Saito
- Department of Clinical Laboratory, Kanagawa Children's Medical Center, Yokohama, Japan
| | - Nobuyuki Horita
- Chemotherapy Center, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Daisuke Utsunomiya
- Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| |
Collapse
|
2
|
Ranjan P, Ro R, Lerakis S. Multislice Computed Tomography (MSCT) and Cardiovascular Magnetic Resonance (CMR) Imaging for Coronary and Structural Heart Disease. Interv Cardiol 2022. [DOI: 10.1002/9781119697367.ch10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
|
3
|
Sun B, Chen Z, Duan Q, Xue Y, Chen L, Zhang Z, An J. A direct comparison of 3 T contrast-enhanced whole-heart coronary cardiovascular magnetic resonance angiography to dual-source computed tomography angiography for detection of coronary artery stenosis: a single-center experience. J Cardiovasc Magn Reson 2020; 22:40. [PMID: 32475355 PMCID: PMC7262765 DOI: 10.1186/s12968-020-00630-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 04/07/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND In recent years, substantial advances have been made in noninvasive cardiac imaging, including cardiac computed tomography (CT) and cardiovascular magnetic resonance (CMR). The purpose of this study was to prospectively compare the diagnostic performance of contrast-enhanced whole heart coronary CMR angiography (CCMRA) to dual-source coronary CT angiography (CCTA) for the diagnosis of significant coronary stenoses (≥50%) in patients with known or suspected coronary artery disease (CAD) referred for conventional x-ray coronary angiography. METHODS Our objective was to directly compare the diagnostic accuracy of contrast-enhanced whole-heart CCMRA (CE-CCMRA) to dual-source CCTA (DS-CCTA) for the detection of CAD. We prospectively studied 57 symptomatic patients with suspected or known CAD who were scheduled for conventional x-ray coronary angiography. Significant CAD was defined as an x-ray defined diameter reduction of ≥50% in a coronary artery with a reference diameter of ≥1.5 mm. RESULTS CE-CCMRA and DS-CCTA were completed in 51 (89%) of 57 patients without complications. The acquisition times of CE-CCMRA and DS-CCTA, respectively, were 9.5 ± 3.1 min and 8.3 ± 1.4 s. On patient-based analysis, the sensitivity, specificity, positive and negative predictive value of CE-CCMRA and DS-CCTA were 93.5% versus 93.5%(P > 0.05), 85% versus 90%(P > 0.05), 90.6% versus 93.5%(P > 0.05), and 89.4% versus 90%(P > 0.05), respectively. The area under the curve (AUC) was 0.89 (95% CI: 0.79 to 0.99) for CE-CCMRA and 0.92 (95% CI: 0.83 to 1.00) for DS-CCTA. CONCLUSIONS DS-CCTA was found to be superior to CE-CCMRA in the diagnosis of significant coronary stenoses (≥50%) in patients with suspected or known CAD scheduled for conventional x-ray coronary angiography, owing to shorter scanning times and higher spatial resolution. However, CE-CCMRA and DS-CCTA have similar diagnostic accuracies.
Collapse
Affiliation(s)
- Bin Sun
- Department of Radiology, Union Hospital, Fujian Medical University, 29 Xin-Quan Road, Fuzhou, 350001, People's Republic of China
| | - Zhiyong Chen
- Department of Radiology, Union Hospital, Fujian Medical University, 29 Xin-Quan Road, Fuzhou, 350001, People's Republic of China.
| | - Qing Duan
- Department of Radiology, Union Hospital, Fujian Medical University, 29 Xin-Quan Road, Fuzhou, 350001, People's Republic of China
| | - Yunjing Xue
- Department of Radiology, Union Hospital, Fujian Medical University, 29 Xin-Quan Road, Fuzhou, 350001, People's Republic of China
| | - Lianglong Chen
- Department of Cardiology, Union Hospital, Fujian Medical University, Fuzhou, China
| | | | - Jing An
- Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China
| |
Collapse
|
4
|
Liu Z, Wen Y, Spincemaille P, Zhang S, Yao Y, Nguyen T, Wang Y. Automated adaptive preconditioner for quantitative susceptibility mapping. Magn Reson Med 2020; 83:271-285. [PMID: 31402519 PMCID: PMC6778703 DOI: 10.1002/mrm.27900] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 06/15/2019] [Accepted: 06/17/2019] [Indexed: 12/23/2022]
Abstract
PURPOSE To develop an automated adaptive preconditioner for QSM reconstruction with improved susceptibility quantification accuracy and increased image quality. THEORY AND METHODS The total field was used to rapidly produce an approximate susceptibility map, which was then averaged and trended over R 2 ∗ binning to generate a spatially varying distribution of preconditioning values. This automated adaptive preconditioner was used to reconstruct QSM via total field inversion and was compared with its empirical counterparts in a numerical simulation, a brain experiment with 5 healthy subjects and 5 patients with intracerebral hemorrhage, and a cardiac experiment with 3 healthy subjects. RESULTS Among evaluated preconditioners, the automated adaptive preconditioner achieved the fastest convergence in reducing the RMSE of the QSM in the simulation, suppressed hemorrhage-associated artifacts while preserving surrounding brain tissue contrasts, and provided cardiac chamber oxygenation values consistent with those reported in the literature. CONCLUSION An automated adaptive preconditioner allows high-quality QSM from the total field in imaging various anatomies with dynamic susceptibility ranges.
Collapse
Affiliation(s)
- Zhe Liu
- Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Yan Wen
- Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Pascal Spincemaille
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Shun Zhang
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
- Department of Radiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yihao Yao
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
- Department of Radiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Thanh Nguyen
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Yi Wang
- Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| |
Collapse
|
5
|
Wen Y, Weinsaft JW, Nguyen TD, Liu Z, Horn EM, Singh H, Kochav J, Eskreis-Winkler S, Deh K, Kim J, Prince MR, Wang Y, Spincemaille P. Free breathing three-dimensional cardiac quantitative susceptibility mapping for differential cardiac chamber blood oxygenation - initial validation in patients with cardiovascular disease inclusive of direct comparison to invasive catheterization. J Cardiovasc Magn Reson 2019; 21:70. [PMID: 31735165 PMCID: PMC6859622 DOI: 10.1186/s12968-019-0579-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Accepted: 10/04/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Differential blood oxygenation between left (LV) and right ventricles (RV; ΔSaO2) is a key index of cardiac performance; LV dysfunction yields increased RV blood pool deoxygenation. Deoxyhemoglobin increases blood magnetic susceptibility, which can be measured using an emerging cardiovascular magnetic resonance (CMR) technique, Quantitative Susceptibility Mapping (QSM) - a concept previously demonstrated in healthy subjects using a breath-hold 2D imaging approach (2DBHQSM). This study tested utility of a novel 3D free-breathing QSM approach (3DNAVQSM) in normative controls, and validated 3DNAVQSM for non-invasive ΔSaO2 quantification in patients undergoing invasive cardiac catheterization (cath). METHODS Initial control (n = 10) testing compared 2DBHQSM (ECG-triggered 2D gradient echo acquired at end-expiration) and 3DNAVQSM (ECG-triggered navigator gated gradient echo acquired in free breathing using a phase-ordered automatic window selection algorithm to partition data based on diaphragm position). Clinical testing was subsequently performed in patients being considered for cath, including 3DNAVQSM comparison to cine-CMR quantified LV function (n = 39), and invasive-cath quantified ΔSaO2 (n = 15). QSM was acquired using 3 T scanners; analysis was blinded to comparator tests (cine-CMR, cath). RESULTS 3DNAVQSM generated interpretable QSM in all controls; 2DBHQSM was successful in 6/10. Among controls in whom both pulse sequences were successful, RV/LV susceptibility difference (and ΔSaO2) were not significantly different between 3DNAVQSM and 2DBHQSM (252 ± 39 ppb [17.5 ± 3.1%] vs. 211 ± 29 ppb [14.7 ± 2.0%]; p = 0.39). Acquisition times were 30% lower with 3DNAVQSM (4.7 ± 0.9 vs. 6.7 ± 0.5 min, p = 0.002), paralleling a trend towards lower LV mis-registration on 3DNAVQSM (p = 0.14). Among cardiac patients (63 ± 10y, 56% CAD) 3DNAVQSM was successful in 87% (34/39) and yielded higher ΔSaO2 (24.9 ± 6.1%) than in controls (p < 0.001). QSM-calculated ΔSaO2 was higher among patients with LV dysfunction as measured on cine-CMR based on left ventricular ejection fraction (29.4 ± 5.9% vs. 20.9 ± 5.7%, p < 0.001) or stroke volume (27.9 ± 7.5% vs. 22.4 ± 5.5%, p = 0.013). Cath measurements (n = 15) obtained within a mean interval of 4 ± 3 days from CMR demonstrated 3DNAVQSM to yield high correlation (r = 0.87, p < 0.001), small bias (- 0.1%), and good limits of agreement (±8.6%) with invasively measured ΔSaO2. CONCLUSION 3DNAVQSM provides a novel means of assessing cardiac performance. Differential susceptibility between the LV and RV is increased in patients with cine-CMR evidence of LV systolic dysfunction; QSM-quantified ΔSaO2 yields high correlation and good agreement with the reference of invasively-quantified ΔSaO2.
Collapse
Affiliation(s)
- Yan Wen
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY USA
- Department of Radiology, Weill Cornell Medicine, New York, NY USA
| | | | - Thanh D. Nguyen
- Department of Radiology, Weill Cornell Medicine, New York, NY USA
| | - Zhe Liu
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY USA
- Department of Radiology, Weill Cornell Medicine, New York, NY USA
| | - Evelyn M. Horn
- Department of Medicine, Weill Cornell Medicine, New York, NY USA
| | - Harsimran Singh
- Department of Medicine, Weill Cornell Medicine, New York, NY USA
| | - Jonathan Kochav
- Department of Medicine, Weill Cornell Medicine, New York, NY USA
| | | | - Kofi Deh
- Department of Radiology, Weill Cornell Medicine, New York, NY USA
| | - Jiwon Kim
- Department of Medicine, Weill Cornell Medicine, New York, NY USA
| | - Martin R. Prince
- Department of Radiology, Weill Cornell Medicine, New York, NY USA
| | - Yi Wang
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY USA
- Department of Radiology, Weill Cornell Medicine, New York, NY USA
| | - Pascal Spincemaille
- Department of Radiology, Weill Cornell Medicine, New York, NY USA
- Weill Cornell Medical College, 515 East 71th Street, S101, New York, NY 10021 USA
| |
Collapse
|
6
|
Li W, Lyu L, Yang W, Zhang R, Wang G, Fang D, Song W, Yin J, Yang J, Li W, Chen L, Luo T. A Pilot Study of Third-Generation Dual-Source Computed Tomography for the Assessment of Global Dynamic Changes in Left Ventricular Structure and Function in a Porcine Model of Acute Myocardial Infarction. MEDICAL SCIENCE MONITOR : INTERNATIONAL MEDICAL JOURNAL OF EXPERIMENTAL AND CLINICAL RESEARCH 2019; 25:7989-7997. [PMID: 31649233 PMCID: PMC6825397 DOI: 10.12659/msm.919122] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Background First-generation and second-generation dual-source computed tomography (DSCT) are useful for analyzing left ventricle (LV) structure and function. This pilot study aimed to investigate the feasibility and role of third-generation DSCT for the evaluation of dynamic changes in LV structural and functional characteristics in a Diannan small-ear pig model of acute myocardial infarction (AMI). Material/Methods The model of AMI was established by balloon occlusion of the distal third of the left anterior descending (LAD) coronary artery in 14 Diannan small-eared pigs. Third-generation DSCT was performed to observe dynamic changes in LV structure and function before and after AMI was induced, with a follow-up period of 30 days. Results The mean structural measurements at baseline included interventricular septum thickness (8.50±0.90 mm), LV anterior wall thickness (8.40±1.30 mm), LV posterior wall thickness (7.80±1.20 mm), LV end-diastolic dimension (LVEDD) (45.00±4.90 mm), and LV end-systolic dimension (LVESD) (25.90±4.10 mm). The mean functional measurements at baseline included the LV end-diastolic volume (LVEDV) (74.62±13.54 ml), LV end-systolic volume (LVESV) (23.06±7.46 ml), LV ejection fraction (LVEF) (69.29±6.83%), LV mass (86.35±14.02 g), stroke volume (SV) (51.56±9.77 ml), and cardiac output (CO) (4.22±2.14 l/min). Trends of time-dependent changes were observed for LVESV, LVEF, SV, and CO, but not for LVEDV or LV mass. Conclusions Third-generation DSCT was validated as a tool for assessing dynamic changes in LV global function in a porcine model of AMI.
Collapse
Affiliation(s)
- Wenjia Li
- Chongqing Medical University, Chongqing, China (mainland).,Department of Radiology, First People's Hospital of Yunnan, Kunming, Yunnan, China (mainland)
| | - Liang Lyu
- Department of Radiology, First People's Hospital of Yunnan, Kunming, Yunnan, China (mainland)
| | - Weixin Yang
- Department of Radiology, First People's Hospital of Yunnan, Kunming, Yunnan, China (mainland)
| | - Rongshun Zhang
- Department of Radiology, Third People's Hospital of Yunnan, Kunming, Yunnan, China (mainland)
| | - Gang Wang
- Department of Radiology, First People's Hospital of Yunnan, Kunming, Yunnan, China (mainland)
| | - Dong Fang
- Department of Radiology, First People's Hospital of Yunnan, Kunming, Yunnan, China (mainland)
| | - Wei Song
- Department of Radiology, First People's Hospital of Yunnan, Kunming, Yunnan, China (mainland)
| | - Junkun Yin
- Department of Radiology, First People's Hospital of Yunnan, Kunming, Yunnan, China (mainland)
| | - Jiangmao Yang
- Department of Radiology, First People's Hospital of Yunnan, Kunming, Yunnan, China (mainland)
| | - Wei Li
- Department of Radiology, First People's Hospital of Yunnan, Kunming, Yunnan, China (mainland)
| | - Liling Chen
- Kunming Medical University, Kunming, Yunnan, China (mainland)
| | - Tianyou Luo
- Department of Radiology, First Affiliated Hospital of Chongqing Medical University, Chongqing, China (mainland)
| |
Collapse
|
7
|
Minhas A, Dewey M, Vavere AL, Tanami Y, Ostovaneh MR, Laule M, Rochitte CE, Niinuma H, Kofoed KF, Geleijns J, Hoe J, Chen MY, Kitagawa K, Nomura C, Clouse ME, Rybicki FJ, Tan SY, Paul N, Matheson M, Cox C, Rief M, Maier P, Feger S, Plotkin M, Schönenberger E. Patient Preferences for Coronary CT Angiography with Stress Perfusion, SPECT, or Invasive Coronary Angiography. Radiology 2019; 291:340-348. [PMID: 30888934 DOI: 10.1148/radiol.2019181409] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Patient preference is pivotal for widespread adoption of tests in clinical practice. Patient preferences for invasive versus other noninvasive tests for coronary artery disease are not known. Purpose To compare patient acceptance and preferences for noninvasive and invasive cardiac imaging in North and South America, Asia, and Europe. Materials and Methods This was a prospective 16-center trial in 381 study participants undergoing coronary CT angiography with stress perfusion, SPECT, and invasive coronary angiography (ICA). Patient preferences were collected by using a previously validated questionnaire translated into eight languages. Responses were converted to ordinal scales and were modeled with generalized linear mixed models. Results In patients in whom at least one test was associated with pain, CT and SPECT showed reduced median pain levels, reported on 0-100 visual analog scales, from 20 for ICA (interquartile range [IQR], 4-50) to 6 for CT (IQR, 0-27.5) and 5 for SPECT (IQR, 0-25) (P < .001). Patients from Asia reported significantly more pain than patients from other continents for ICA (median, 25; IQR, 10-50; P = .01), CT (median, 10; IQR, 0-30; P = .02), and SPECT (median, 7; IQR, 0-28; P = .03). Satisfaction with preparation differed by continent and test (P = .01), with patients from Asia reporting generally lower ratings. Patients from North America had greater percentages of "very high" or "high" satisfaction than patients from other continents for ICA (96% vs 82%, respectively; P < .001) and SPECT (95% vs 79%, respectively; P = .04) but not for CT (89% vs 86%, respectively; P = .70). Among all patients, CT was preferred by 54% of patients, compared with 18% for SPECT and 28% for ICA (P < .001). Conclusion For cardiac imaging, patients generally favored CT angiography with stress perfusion, while study participants from Asia generally reported lowest satisfaction. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Woodard and Nguyen in this issue.
Collapse
Affiliation(s)
- Anum Minhas
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Marc Dewey
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Andrea L Vavere
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Yutaka Tanami
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Mohammad R Ostovaneh
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Michael Laule
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Carlos E Rochitte
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Hiroyuki Niinuma
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Klaus F Kofoed
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Jacob Geleijns
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - John Hoe
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Marcus Y Chen
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Kakuya Kitagawa
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Cesar Nomura
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Melvin E Clouse
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Frank J Rybicki
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Swee Yaw Tan
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Narinder Paul
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Matthew Matheson
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Christopher Cox
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Matthias Rief
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Pia Maier
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Sarah Feger
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Michail Plotkin
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| | - Eva Schönenberger
- From the Department of Cardiology, Johns Hopkins Hospital and Health System, Baltimore, Md (A.M., A.L.V., M.R.O., M.M., C.C., P.M.); Departments of Radiology (M.D., M.L., M.R., S.F., M.P.) and Anesthesiology (E.S.), Charité-Universitätsmedizin Berlin, Humboldt-Universität and Freie Universität zu Berlin, Schumannstr 20/21, Berlin 10117, Germany; Department of Radiology, Keio University School of Medicine, Tokyo, Japan (Y.T.); Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil (C.E.R.); Department of Medicine, Division of Cardiology, St Luke's International Hospital, Tokyo, Japan (H.N.); Department of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark (K.F.K.); Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.G.); Department of Radiology, Mount Elizabeth Hospital, Singapore (J.H.); Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md (M.Y.C.); Department of Radiology, Mie University Hospital, Tsu, Japan (K.K.); Department of Radiology, Albert Einstein Hospital, São Paulo, Brazil (C.N.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard University, Boston, Mass (M.E.C.); Department of Radiology, University of Ottawa Faculty of Medicine, Ottawa, Canada (F.J.R.); Department of Cardiology, National Heart Center Singapore, Singapore (S.Y.T.); and Department of Radiology, Toronto General Hospital, Toronto, Canada (N.P.)
| |
Collapse
|
8
|
Chen Z, Sun B, Duan Q, Xue Y, Chen L. 3.0T Contrast-enhanced whole-heart coronary magnetic resonance angiography for simultaneous coronary artery angiography and myocardial viability in chronic myocardial infarction: A single-center preliminary study. Medicine (Baltimore) 2018; 97:e13138. [PMID: 30407340 PMCID: PMC6250500 DOI: 10.1097/md.0000000000013138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
To evaluate the accuracy of contrast-enhanced whole-heart magnetic resonance coronary angiography at 3.0T for assessing significant stenosis (≥50% lumen diameter reduction) in patients with myocardial infarction, by using conventional coronary artery angiography as the reference standard, and also test the performance of that for the detection and assessment of chronic myocardial infarction (MI), compared with standard delayed-enhancement coronary magnetic resonance (DE-CMR) for the determination of infarct size.We studied 42 consecutive patients (37 men, 5 women, mean age 58.5 ± 10.7 years) with MI scheduled for conventional coronary angiography. Contrast-enhanced whole-heart coronary magnetic resonance angiography (CMRA) was employed after sublingual nitroglycerin (NTG) with the abdominal banding rolled tightly along the side of ribs. Finally, a 3D phase-sensitive inversion-recovery gradient-echo (3D-PSIR-GRE) sequence was performed during free breathing. The assessment of MI sizes on WH-CMRA reconstructed images and 3D-PSIR-GRE images were compared using a paired student t test.The acquisition of CMRA was completed in 40 (95.2%) of 42 patients, with an imaging time averaged at 9.5 ± 3.1 minutes. The average navigator efficiency was 47%. The sensitivity, specificity, and positive and negative predictive values of whole-heart CMRA for the detection of significant lesions on a segment-by-segment analysis were 91.7% (95% confidence interval [CI] 83.8-96.1), 84.0% (95% CI 80.0-87.4), 57.9% (95% CI 50.0-65.8), 97.7% (95% CI 95.3-98.9), respectively, and on a patient-based analysis 93.5% (95% CI 77.2-98.9), 88.9% (95% CI 50.7-99.4), 96.7% (95% CI 80.9-99.8), and 80.0% (95% CI 44.2-96.5), respectively. Infarcts were generally higher on the CE-CMRA technique compared with the standard technique (18.0 ± 7.2 cm vs 16.1 ± 6.4 cm; P < .0001).Contrast-enhanced whole-heart CMRA with 3.0-T not only may permit reliable detection of significant obstructive coronary artery disease in patients with myocardial infarction, but also could identify and quantify the volume of myocardial infarction. This technique could be considered the preferred approach in patients who could not overcome longer scanning times or unable to hold their breath instead of delayed-enhancement magnetic resonance imaging for detection of infarcted myocardium. However, compared with standard imaging, the volume of myocardial infarction is slightly overestimated.
Collapse
Affiliation(s)
| | | | | | | | - Lianglong Chen
- Department of Cardiology, Union Hospital, Fujian Medical University, Fuzhou, People's Republic of China
| |
Collapse
|
9
|
Rief M, Chen MY, Vavere AL, Kendziora B, Miller JM, Bandettini WP, Cox C, George RT, Lima J, Di Carli M, Plotkin M, Zimmermann E, Laule M, Schlattmann P, Arai AE, Dewey M. Coronary Artery Disease: Analysis of Diagnostic Performance of CT Perfusion and MR Perfusion Imaging in Comparison with Quantitative Coronary Angiography and SPECT-Multicenter Prospective Trial. Radiology 2017; 286:461-470. [PMID: 28956734 DOI: 10.1148/radiol.2017162447] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Purpose To compare the diagnostic performance of stress myocardial computed tomography (CT) perfusion with that of stress myocardial magnetic resonance (MR) perfusion imaging in the detection of coronary artery disease (CAD). Materials and Methods All patients gave written informed consent prior to inclusion in this institutional review board-approved study. This two-center substudy of the prospective Combined Noninvasive Coronary Angiography and Myocardial Perfusion Imaging Using 320-Detector Row Computed Tomography (CORE320) multicenter trial included 92 patients (mean age, 63.1 years ± 8.1 [standard deviation]; 73% male). All patients underwent perfusion CT and perfusion MR imaging with either adenosine or regadenoson stress. The predefined reference standards were combined quantitative coronary angiography (QCA) and single-photon emission CT (SPECT) or QCA alone. Results from coronary CT angiography were not included, and diagnostic performance was evaluated with the Mantel-Haenszel test stratified by disease status. Results The prevalence of CAD was 39% (36 of 92) according to QCA and SPECT and 64% (59 of 92) according to QCA alone. When compared with QCA and SPECT, per-patient diagnostic accuracy of perfusion CT and perfusion MR imaging was 63% (58 of 92) and 75% (69 of 92), respectively (P = .11); sensitivity was 92% (33 of 36) and 83% (30 of 36), respectively (P = .45); and specificity was 45% (25 of 56) and 70% (39 of 56), respectively (P < .01). When compared with QCA alone, diagnostic accuracy of CT perfusion and MR perfusion imaging was 82% (75 of 92) and 74% (68 of 92), respectively (P = .27); sensitivity was 90% (53 of 59) and 69% (41 of 59), respectively (P < .01); and specificity was 67% (22 of 33) and 82% (27 of 33), respectively (P = .27). Conclusion This multicenter study shows that the diagnostic performance of perfusion CT is similar to that of perfusion MR imaging in the detection of CAD. © RSNA, 2017 Online supplemental material is available for this article.
Collapse
Affiliation(s)
- Matthias Rief
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Marcus Y Chen
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Andrea L Vavere
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Benjamin Kendziora
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Julie M Miller
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - W Patricia Bandettini
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Christopher Cox
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Richard T George
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - João Lima
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Marcelo Di Carli
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Michail Plotkin
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Elke Zimmermann
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Michael Laule
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Peter Schlattmann
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Andrew E Arai
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| | - Marc Dewey
- From the Departments of Radiology (M.R., B.K., E.Z., M.D.), Nuclear Medicine (M.P.), and Cardiology (M.L.), Charité-Universitätsmedizin Berlin, Medical School, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, 10117 Berlin, Germany; Department of Health and Human Services, National Institutes of Health, Bethesda, Md (M.Y.C., W.P.B., A.E.A.); Department of Medicine, Johns Hopkins University, Baltimore, Md (A.L.V., J.M.M., R.T.G., J.L.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (C.C.); Departments of Radiology and Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (M.D.C.); and Department of Medical Statistics, Informatics and Documentation, University Hospital Jena, Jena, Germany (P.S.)
| |
Collapse
|
10
|
Lalude OO, Pugliese F, de Feyter PJ, Lerakis S. Complementary Imaging Techniques. Interv Cardiol 2016. [DOI: 10.1002/9781118983652.ch9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
| | | | | | - Stamatios Lerakis
- Emory University School of Medicine and Georgia Institute of Technology; Atlanta GA USA
| |
Collapse
|
11
|
Kaniewska M, Schuetz GM, Willun S, Schlattmann P, Dewey M. Noninvasive evaluation of global and regional left ventricular function using computed tomography and magnetic resonance imaging: a meta-analysis. Eur Radiol 2016; 27:1640-1659. [DOI: 10.1007/s00330-016-4513-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Revised: 05/02/2016] [Accepted: 07/18/2016] [Indexed: 01/06/2023]
|
12
|
Abstract
Atherosclerotic cardiovascular disease is becoming a major cause of death in the world due to global epidemic of diabetes and obesity. For the prevention of atherosclerotic cardiovascular disease, it is necessary to detect high-risk atherosclerotic plaques prior to events. Recent technological advances enable to visualize atherosclerotic plaques noninvasively. This ability of noninvasive imaging helps to refine cardiovascular risk assessment in various individuals, select optimal therapeutic strategy and evaluate the efficacy of medical therapies. In this review, we discuss the role of the currently available imaging modalities including computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography. Advantages and disadvantages of each noninvasive imaging modality will be also summarized.
Collapse
Affiliation(s)
- Daisuke Shishikura
- Department of Cardiology, Osaka Medical College, Takatsuki, Osaka, Japan
| |
Collapse
|
13
|
Touzé E, Varenne O, Calvet D, Mas JL. Coronary Risk Stratification in Patients with Ischemic Stroke or Transient Ischemic Stroke Attack. Int J Stroke 2016; 2:177-83. [DOI: 10.1111/j.1747-4949.2007.00136.x] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Background The risk of coronary artery disease (CAD) is traditionally considered high in patients who had an ischemic stroke or a transient ischemic attack (TIA). However, few studies have specifically assessed the absolute risk of coronary events in those patients and predictors of such events are not well known. Summary of review The overall risks of myocardial infarction and nonstroke vascular death are each around 2% per year. However, those risks are only about 1% per year in patients without CAD (i.e. the only ones who are likely to benefit from specific additional strategies). The prevalence of asymptomatic CAD ranges from 15% to 60%. Although potentially higher, the risk of CAD in patients with stroke/TIA related to atherosclerosis also seems to vary widely depending on the extent of the disease. Given the relatively low CAD risk, a simple systematic reinforcement of medical treatment in all patients may be not relevant. Up to now, there have been only limited ways to stratify the CAD risk in stroke/TIA patients. High-risk patients may be identified using the traditional cardiac scoring systems, but their validity has never been specifically assessed in stroke populations. The relative influence of traditional risk factors may be altered after a first vascular event. Stroke patients could also be screened for asymptomatic CAD. However, there is no simple and valid screening test for asymptomatic CAD that could be applied to all patients. Finally, there is still uncertainty about the potential benefits of treating asymptomatic CAD. Therefore, should the identification of patients with asymptomatic CAD requiring revascularization become feasible, the relevance of this strategy would remain to be evaluated by a randomized clinical trial. Conclusion The absolute risk of CAD in stroke/TIA patients is moderately high. More research is needed to identify high risk patients who could benefit from specific strategies.
Collapse
|
14
|
Kang W, Park WJ, Jang KH, Kim SH, Gwon DH, Lim HM, Ahn JS, Moon JD. Coronary artery atherosclerosis associated with shift work in chemical plant workers by using coronary CT angiography. Occup Environ Med 2016; 73:501-5. [DOI: 10.1136/oemed-2015-103118] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2015] [Accepted: 02/01/2016] [Indexed: 11/04/2022]
|
15
|
Di Leo G, Fisci E, Secchi F, Alì M, Ambrogi F, Sconfienza LM, Sardanelli F. Diagnostic accuracy of magnetic resonance angiography for detection of coronary artery disease: a systematic review and meta-analysis. Eur Radiol 2015; 26:3706-18. [DOI: 10.1007/s00330-015-4134-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Revised: 11/16/2015] [Accepted: 11/23/2015] [Indexed: 01/20/2023]
|
16
|
Zhang N, Zou L, Huang Y, Liu D, Tang Y, Fan Z, Chen H, Liu X. Non-Contrast Enhanced MR Angiography (NCE-MRA) of the Calf: A Direct Comparison between Flow-Sensitive Dephasing (FSD) Prepared Steady-State Free Precession (SSFP) and Quiescent-Interval Single-Shot (QISS) in Patients with Diabetes. PLoS One 2015; 10:e0128786. [PMID: 26035645 PMCID: PMC4452776 DOI: 10.1371/journal.pone.0128786] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2014] [Accepted: 04/30/2015] [Indexed: 11/25/2022] Open
Abstract
Objectives To compare the image quality and diagnostic performance of two non-contrast enhanced MR angiography (NCE-MRA) techniques using flow-sensitive dephasing (FSD) prepared steady-state free precession (SSFP) and quiescent-interval single-shot (QISS) for the calf arteries in patients with diabetes. Materials and Methods Twenty six patients underwent the two NCE-MRA techniques followed by contrast-enhanced MRA (CE-MRA) of lower extremity on a 1.5T MR system. Image quality scores, arterial stenosis scores, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), vessel sharpness, and diagnostic accuracy for detecting more than 50% arterial stenosis were evaluated and statistically compared using CE-MRA as the reference standard. Results All examinations were performed successfully. Of the total 153 calf arterial segments obtained in the 26 patients, FSD and QISS showed no significant difference in the number of diagnostic arterial segments (151 [98%] vs. 147 [96%], respectively, P>0.05). The image quality of FSD was higher than that of QISS in the peroneal artery and posterior tibial artery (P<0.05), but no significant difference in the anterior tibial artery (P>0.05). SNR and CNR of FSD were higher than those of QISS (P<0.01), while FSD showed comparable vessel sharpness compared with QISS (P>0.05). The time efficiency of SNR and CNR between FSD and QISS showed no significant difference when taking into account the times for FSD-related scout scans. There was no difference in sensitivity (95% vs. 93%, P>0.05) and negative predictive value (98% vs. 97%, P>0.05) between FSD and QISS for detecting stenosis greater than 50%. However, FSD showed higher specificities (99% vs. 92%, P<0.05) and diagnostic accuracy (98% vs. 92%, P<0.05) compared to QISS. Conclusion Both FSD and QISS had similar high sensitivity and negative predictive value for detecting calf arteries with over 50% stenosis, but FSD showed slightly higher diagnostic specificity and better depiction of arterial lesions due to its isotropic submillimeter spatial resolution. QISS, being an easier to use and less time-consuming technique, could be a method of choice for rapid screening of arterial disease of the lower extremity.
Collapse
Affiliation(s)
- Na Zhang
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen, China
- Shenzhen Key Laboratory for MRI, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen, China
| | - Liqiu Zou
- Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Yi Huang
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Dexiang Liu
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Yukuan Tang
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Zhaoyang Fan
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States of America
| | - Hanwei Chen
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China
- * E-mail: (XL); (HC)
| | - Xin Liu
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen, China
- Shenzhen Key Laboratory for MRI, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen, China
- * E-mail: (XL); (HC)
| |
Collapse
|
17
|
Tee MW, Won S, Raman FS, Yi C, Vigneault DM, Davies-Venn C, Liu S, Lardo AC, Lima JAC, Noble JA, Emter CA, Bluemke DA. Regional Strain Analysis with Multidetector CT in a Swine Cardiomyopathy Model: Relationship to Cardiac MR Tagging and Myocardial Fibrosis. Radiology 2015; 277:88-94. [PMID: 25853636 DOI: 10.1148/radiol.2015142339] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
PURPOSE To investigate the use of cine multidetector computed tomography (CT) to detect changes in myocardial function in a swine cardiomyopathy model. MATERIALS AND METHODS All animal protocols were in accordance with the Principles for the Utilization and Care of Vertebrate Animals Used in Testing Research and Training and approved by the University of Missouri Animal Care and Use Committee. Strain analysis of cine multidetector CT images of the left ventricle was optimized and analyzed with feature-tracking software. The standard of reference for strain was harmonic phase analysis of tagged cardiac magnetic resonance (MR) images at 3.0 T. An animal model of cardiomyopathy was imaged with both cardiac MR and 320-section multidetector CT at a temporal resolution of less than 50 msec. Three groups were evaluated: control group (n = 5), aortic-banded myocardial hypertrophy group (n = 5), and aortic-banded and cyclosporine A- treated cardiomyopathy group (n = 5). Histologic samples of the myocardium were obtained for comparison with strain results. Dunnett test was used for comparisons of the concentric remodeling group and eccentric remodeling group against the control group. RESULTS Collagen volume fraction ranged from 10.9% to 14.2%; lower collagen fraction values were seen in the control group than in the cardiomyopathy groups (P < .05). Ejection fraction and conventional metrics showed no significant differences between control and cardiomyopathy groups. Radial strain for both cardiac MR and multidetector CT was abnormal in both concentric (cardiac MR 25.1% ± 4.2; multidetector CT 28.4% ± 2.8) and eccentric (cardiac MR 23.2% ± 2.0; multidetector CT 24.4% ± 2.1) remodeling groups relative to control group (cardiac MR 18.9% ± 1.9, multidetector CT 22.0% ± 1.7, P < .05, all comparisons). Strain values for multidetector CT versus cardiac MR showed better agreement in the radial direction than in the circumferential direction (r = 0.55, P = .03 vs r = 0.40, P = .13, respectively). CONCLUSION Multidetector CT strain analysis has potential to identify regional wall-motion abnormalities in cardiomyopathy that is not otherwise detected using conventional metrics of myocardial function.
Collapse
Affiliation(s)
- Michael W Tee
- From the Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Rm 1C355, Bethesda, MD 20892-1182 (M.W.T., S.W., F.S.R., C.Y., D.V., C.D.V., S.L., D.A.B.); Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Headington, Oxford, England (M.W.T., D.V., J.A.N.); Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Md (A.L., J.A.C.L., D.A.B.); Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio (M.W.T.); Tufts University School of Medicine, Boston, Mass (D.V.); and Department of Biomedical Science, University of Missouri-Columbia, Columbia, Mo (C.E.)
| | - Samuel Won
- From the Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Rm 1C355, Bethesda, MD 20892-1182 (M.W.T., S.W., F.S.R., C.Y., D.V., C.D.V., S.L., D.A.B.); Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Headington, Oxford, England (M.W.T., D.V., J.A.N.); Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Md (A.L., J.A.C.L., D.A.B.); Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio (M.W.T.); Tufts University School of Medicine, Boston, Mass (D.V.); and Department of Biomedical Science, University of Missouri-Columbia, Columbia, Mo (C.E.)
| | - Fabio S Raman
- From the Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Rm 1C355, Bethesda, MD 20892-1182 (M.W.T., S.W., F.S.R., C.Y., D.V., C.D.V., S.L., D.A.B.); Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Headington, Oxford, England (M.W.T., D.V., J.A.N.); Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Md (A.L., J.A.C.L., D.A.B.); Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio (M.W.T.); Tufts University School of Medicine, Boston, Mass (D.V.); and Department of Biomedical Science, University of Missouri-Columbia, Columbia, Mo (C.E.)
| | - Colin Yi
- From the Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Rm 1C355, Bethesda, MD 20892-1182 (M.W.T., S.W., F.S.R., C.Y., D.V., C.D.V., S.L., D.A.B.); Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Headington, Oxford, England (M.W.T., D.V., J.A.N.); Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Md (A.L., J.A.C.L., D.A.B.); Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio (M.W.T.); Tufts University School of Medicine, Boston, Mass (D.V.); and Department of Biomedical Science, University of Missouri-Columbia, Columbia, Mo (C.E.)
| | - Davis M Vigneault
- From the Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Rm 1C355, Bethesda, MD 20892-1182 (M.W.T., S.W., F.S.R., C.Y., D.V., C.D.V., S.L., D.A.B.); Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Headington, Oxford, England (M.W.T., D.V., J.A.N.); Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Md (A.L., J.A.C.L., D.A.B.); Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio (M.W.T.); Tufts University School of Medicine, Boston, Mass (D.V.); and Department of Biomedical Science, University of Missouri-Columbia, Columbia, Mo (C.E.)
| | - Cynthia Davies-Venn
- From the Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Rm 1C355, Bethesda, MD 20892-1182 (M.W.T., S.W., F.S.R., C.Y., D.V., C.D.V., S.L., D.A.B.); Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Headington, Oxford, England (M.W.T., D.V., J.A.N.); Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Md (A.L., J.A.C.L., D.A.B.); Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio (M.W.T.); Tufts University School of Medicine, Boston, Mass (D.V.); and Department of Biomedical Science, University of Missouri-Columbia, Columbia, Mo (C.E.)
| | - Songtao Liu
- From the Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Rm 1C355, Bethesda, MD 20892-1182 (M.W.T., S.W., F.S.R., C.Y., D.V., C.D.V., S.L., D.A.B.); Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Headington, Oxford, England (M.W.T., D.V., J.A.N.); Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Md (A.L., J.A.C.L., D.A.B.); Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio (M.W.T.); Tufts University School of Medicine, Boston, Mass (D.V.); and Department of Biomedical Science, University of Missouri-Columbia, Columbia, Mo (C.E.)
| | - Albert C Lardo
- From the Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Rm 1C355, Bethesda, MD 20892-1182 (M.W.T., S.W., F.S.R., C.Y., D.V., C.D.V., S.L., D.A.B.); Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Headington, Oxford, England (M.W.T., D.V., J.A.N.); Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Md (A.L., J.A.C.L., D.A.B.); Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio (M.W.T.); Tufts University School of Medicine, Boston, Mass (D.V.); and Department of Biomedical Science, University of Missouri-Columbia, Columbia, Mo (C.E.)
| | - João A C Lima
- From the Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Rm 1C355, Bethesda, MD 20892-1182 (M.W.T., S.W., F.S.R., C.Y., D.V., C.D.V., S.L., D.A.B.); Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Headington, Oxford, England (M.W.T., D.V., J.A.N.); Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Md (A.L., J.A.C.L., D.A.B.); Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio (M.W.T.); Tufts University School of Medicine, Boston, Mass (D.V.); and Department of Biomedical Science, University of Missouri-Columbia, Columbia, Mo (C.E.)
| | - J Alison Noble
- From the Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Rm 1C355, Bethesda, MD 20892-1182 (M.W.T., S.W., F.S.R., C.Y., D.V., C.D.V., S.L., D.A.B.); Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Headington, Oxford, England (M.W.T., D.V., J.A.N.); Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Md (A.L., J.A.C.L., D.A.B.); Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio (M.W.T.); Tufts University School of Medicine, Boston, Mass (D.V.); and Department of Biomedical Science, University of Missouri-Columbia, Columbia, Mo (C.E.)
| | - Craig A Emter
- From the Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Rm 1C355, Bethesda, MD 20892-1182 (M.W.T., S.W., F.S.R., C.Y., D.V., C.D.V., S.L., D.A.B.); Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Headington, Oxford, England (M.W.T., D.V., J.A.N.); Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Md (A.L., J.A.C.L., D.A.B.); Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio (M.W.T.); Tufts University School of Medicine, Boston, Mass (D.V.); and Department of Biomedical Science, University of Missouri-Columbia, Columbia, Mo (C.E.)
| | - David A Bluemke
- From the Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Dr, Building 10, Rm 1C355, Bethesda, MD 20892-1182 (M.W.T., S.W., F.S.R., C.Y., D.V., C.D.V., S.L., D.A.B.); Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Headington, Oxford, England (M.W.T., D.V., J.A.N.); Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Md (A.L., J.A.C.L., D.A.B.); Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio (M.W.T.); Tufts University School of Medicine, Boston, Mass (D.V.); and Department of Biomedical Science, University of Missouri-Columbia, Columbia, Mo (C.E.)
| |
Collapse
|
18
|
Kauling RM, Post MC, Rensing BJWM, Verzijlbergen JF, Schaap J. Hybrid SPECT/CCTA Imaging in the Work-up of Patients with Suspected Coronary Artery Disease. CURRENT CARDIOVASCULAR IMAGING REPORTS 2015. [DOI: 10.1007/s12410-014-9316-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
|
19
|
Korosoglou G, Giusca S, Gitsioudis G, Erbel C, Katus HA. Cardiac magnetic resonance and computed tomography angiography for clinical imaging of stable coronary artery disease. Diagnostic classification and risk stratification. Front Physiol 2014; 5:291. [PMID: 25147526 PMCID: PMC4123729 DOI: 10.3389/fphys.2014.00291] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2014] [Accepted: 07/18/2014] [Indexed: 12/18/2022] Open
Abstract
Despite advances in the pharmacologic and interventional treatment of coronary artery disease (CAD), atherosclerosis remains the leading cause of death in Western societies. X-ray coronary angiography has been the modality of choice for diagnosing the presence and extent of CAD. However, this technique is invasive and provides limited information on the composition of atherosclerotic plaque. Coronary computed tomography angiography (CCTA) and cardiac magnetic resonance (CMR) have emerged as promising non-invasive techniques for the clinical imaging of CAD. Hereby, CCTA allows for visualization of coronary calcification, lumen narrowing and atherosclerotic plaque composition. In this regard, data from the CONFIRM Registry recently demonstrated that both atherosclerotic plaque burden and lumen narrowing exhibit incremental value for the prediction of future cardiac events. However, due to technical limitations with CCTA, resulting in false positive or negative results in the presence of severe calcification or motion artifacts, this technique cannot entirely replace invasive angiography at the present time. CMR on the other hand, provides accurate assessment of the myocardial function due to its high spatial and temporal resolution and intrinsic blood-to-tissue contrast. Hereby, regional wall motion and perfusion abnormalities, during dobutamine or vasodilator stress, precede the development of ST-segment depression and anginal symptoms enabling the detection of functionally significant CAD. While CT generally offers better spatial resolution, the versatility of CMR can provide information on myocardial function, perfusion, and viability, all without ionizing radiation for the patients. Technical developments with these 2 non-invasive imaging tools and their current implementation in the clinical imaging of CAD will be presented and discussed herein.
Collapse
|
20
|
Liu X, Fan Z, Zhang N, Yang Q, Feng F, Liu P, Zheng H, Li D. Unenhanced MR angiography of the foot: initial experience of using flow-sensitive dephasing-prepared steady-state free precession in patients with diabetes. Radiology 2014; 272:885-94. [PMID: 24758556 DOI: 10.1148/radiol.14132284] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PURPOSE To assess image quality and diagnostic performance of unenhanced magnetic resonance (MR) angiography with use of flow-sensitive dephasing (FSD)-prepared steady-state free precession (SSFP) of the foot arteries in patients with diabetes. MATERIALS AND METHODS This prospective study was approved by institutional review board. Informed consent was obtained from all subjects. Thirty-two healthy volunteers and 38 diabetic patients who had been scheduled for lower-extremity contrast material-enhanced MR angiography were recruited to undergo unenhanced MR angiography with a 1.5-T MR unit. Image quality and diagnostic accuracy of unenhanced MR angiography in the detection of significant arterial stenosis (≥50%) were assessed by two independent reviewers. Contrast-enhanced MR angiography was used as the reference standard. The difference in the percentage of diagnostic arterial segments at unenhanced MR angiography between healthy volunteers and diabetic patients was evaluated with the McNemar test and generalized estimating equation for correlated data. Signal-to-noise ratio (SNR) and artery-to-muscle contrast-to-noise ratio (CNR) of pedal arteries were measured and compared between the two MR angiography techniques by using the paired t test. RESULTS All subjects successfully underwent unenhanced MR angiography of the foot. Unenhanced MR angiography yielded a high percentage of diagnostic arterial segments in both healthy volunteers (303 of 320 segments, 95%) and patients (341 of 370 segments, 92%), and there was no difference in the percentage between the two populations (P = .195). In patients, the average SNR and CNR at unenhanced MR angiography were higher than those at contrast-enhanced MR angiography (SNR: 90.7 ± 38.1 vs 81.7 ± 34.7, respectively, P = .023; CNR: 85.2 ± 33.2 vs 76.6 ± 33.5, respectively, P = .013). The average sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of unenhanced MR angiography were 88% (35 of 40 segments), 93% (107 of 115 segments), 81% (35 of 43 segments), 96% (107 of 112 segments), and 92% (142 of 155 segments), respectively. Interobserver agreement between the two readers for diagnostic accuracy was good (κ = 0.83). CONCLUSION Unenhanced MR angiography with use of FSD-prepared SSFP allows clear depiction of the foot arterial tree and accurate detection of significant arterial stenosis. The technique has the potential to be a safe and reliable screening tool for the assessment of foot arteries in diabetic patients without the use of gadolinium-based contrast material.
Collapse
Affiliation(s)
- Xin Liu
- From the Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen Key Laboratory for MRI, 1068 Xueyuan Ave, Shenzhen, Guangdong 518055, China (X.L., N.Z., H.Z.); Beijing Center for Mathematical and Information Disciplinary Sciences, Beijing, China (X.L., H.Z.); Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, Calif (Z.F., D.L.); Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China (Q.Y.); and Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, China (F.F., P.L.)
| | | | | | | | | | | | | | | |
Collapse
|
21
|
Walther S, Schueler S, Tackmann R, Schuetz GM, Schlattmann P, Dewey M. Compliance with STARD Checklist among Studies of Coronary CT Angiography: Systematic Review. Radiology 2014; 271:74-86. [DOI: 10.1148/radiol.13121720] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
22
|
Gramer BM, Diez Martinez P, Chin AS, Sylvestre MP, Larrivée S, Stevens LM, Noiseux N, Soulez G, Rummeny EJ, Chartrand-Lefebvre C. 256-slice CT angiographic evaluation of coronary artery bypass grafts: effect of heart rate, heart rate variability and Z-axis location on image quality. PLoS One 2014; 9:e91861. [PMID: 24637891 PMCID: PMC3956757 DOI: 10.1371/journal.pone.0091861] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2013] [Accepted: 02/17/2014] [Indexed: 12/02/2022] Open
Abstract
Purpose The objective of this study is to assess the effect of heart rate, heart rate variability and z-axis location on coronary artery bypass graft (CABG) image quality using a 256-slice computed tomography (CT) scanner. Methods A total of 78 patients with 254 CABG (762 graft segments) were recruited to undergo CABG assessment with 256-slice CT and prospective ECG-gating. Two observers rated graft segments for image quality on a 5-point scale. Quantitative measurements were also made. Logistic and cumulative link mixed models were used to assess the predictors of graft image quality. Results Graft image quality was judged as diagnostic (scores 5 (excellent), 4 (good) and 3 (moderate)) in 96.6% of the 762 segments. Interobserver agreement was excellent (kappa ≥0.90). Graft image quality was not affected by heart rate level. However, high heart rate variability was associated with an important and significant image quality deterioration (odds ratio 4.31; p = 0.036). Distal graft segments had significantly lower image quality scores than proximal segments (p ≤ 0.02). Significantly higher noise was noted at the origin of the mammary grafts (p = 0.001), owing to streak artifacts from the shoulders. Conclusion CABG imaging with 270-msec rotation 256-slice CT and prospective ECG-gating showed an adequate image quality in 96.6% of graft segments, and an excellent interobserver agreement. Graft image quality was not influenced by heart rate level. Image quality scores were however significantly decreased in patients with high heart rate variability, as well as in distal graft segments, which are closer to the heart.
Collapse
Affiliation(s)
- Bettina M. Gramer
- Radiology, University of Montreal Medical Center (CHUM), Montreal, Quebec, Canada
- Research Center of the University of Montreal Medical Center (CRCHUM), Montreal, Quebec, Canada
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany
| | | | - Anne S. Chin
- Radiology, University of Montreal Medical Center (CHUM), Montreal, Quebec, Canada
| | - Marie-Pierre Sylvestre
- Research Center of the University of Montreal Medical Center (CRCHUM), Montreal, Quebec, Canada
- Department of Social and Preventive Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Sandra Larrivée
- Research Center of the University of Montreal Medical Center (CRCHUM), Montreal, Quebec, Canada
| | - Louis-Mathieu Stevens
- Research Center of the University of Montreal Medical Center (CRCHUM), Montreal, Quebec, Canada
- Cardiac Surgery, CHUM, University of Montreal and CRCHUM, Montreal, Quebec, Canada
| | - Nicolas Noiseux
- Research Center of the University of Montreal Medical Center (CRCHUM), Montreal, Quebec, Canada
- Cardiac Surgery, CHUM, University of Montreal and CRCHUM, Montreal, Quebec, Canada
| | - Gilles Soulez
- Radiology, University of Montreal Medical Center (CHUM), Montreal, Quebec, Canada
- Research Center of the University of Montreal Medical Center (CRCHUM), Montreal, Quebec, Canada
| | - Ernst J. Rummeny
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany
| | - Carl Chartrand-Lefebvre
- Radiology, University of Montreal Medical Center (CHUM), Montreal, Quebec, Canada
- Research Center of the University of Montreal Medical Center (CRCHUM), Montreal, Quebec, Canada
- * E-mail:
| |
Collapse
|
23
|
Francone M. Role of cardiac magnetic resonance in the evaluation of dilated cardiomyopathy: diagnostic contribution and prognostic significance. ISRN RADIOLOGY 2014; 2014:365404. [PMID: 24967294 PMCID: PMC4045555 DOI: 10.1155/2014/365404] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2013] [Accepted: 11/05/2013] [Indexed: 01/07/2023]
Abstract
Dilated cardiomyopathy (DCM) represents the final common morphofunctional pathway of various pathological conditions in which a combination of myocyte injury and necrosis associated with tissue fibrosis results in impaired mechanical function. Recognition of the underlying aetiology of disease and accurate disease monitoring may be crucial to individually optimize therapeutic strategies and stratify patient's prognosis. In this regard, CMR has emerged as a new reference gold standard providing important information for differential diagnosis and new insight about individual risk stratification. The present review article will focus on the role of CMR in the evaluation of present condition, analysing respective strengths and limitations in the light of current literature and technological developments.
Collapse
Affiliation(s)
- Marco Francone
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena, 324 00161 Rome, Italy
| |
Collapse
|
24
|
Liu X, Zhang N, Fan Z, Feng F, Yang Q, Zheng H, Liu P, Li D. Detection of infragenual arterial disease using non-contrast-enhanced MR angiography in patients with diabetes. J Magn Reson Imaging 2013; 40:1422-9. [PMID: 24925770 DOI: 10.1002/jmri.24477] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2013] [Accepted: 09/24/2013] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To evaluate the diagnostic performance of a newly developed non-contrast-enhanced MR angiography (NCE-MRA) technique using flow-sensitive dephasing (FSD) prepared steady-state free precession (SSFP) for detecting calf arterial disease in patients with diabetes. MATERIALS AND METHODS Forty-five patients with diabetes who underwent routine contrast-enhanced MR angiography (CE-MRA) of lower extremities were recruited for NCE-MRA at the calf on a 1.5 Tesla MR system. Image quality evaluated on a 4-point scale and diagnostic performance for detecting more than 50% arterial stenosis were statistically analyzed, using CE-MRA as the standard of reference. RESULTS A total of 264 calf arterial segments were obtained in the 45 patients with 88 legs. The percentage of diagnostic arterial segments was all 98% for NCE- and CE-MRA. The image quality, SNR, CNR was 3.3, 177, 138, and 3.5, 103, 99, for NCE-MRA and CE-MRA, respectively. The average sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of NCE-MRA were 97%, 96%, 90%, 99%, and 96%, respectively on a per-segment basis and 90%, 84%, 82%, 91%, and 87%, respectively, on a per-patients basis. CONCLUSION The NCE-MRA technique demonstrates adequate image quality in the delineation of calf arteries and consistent diagnostic performance for detecting significant stenosis with CE-MRA in patients with diabetes.
Collapse
Affiliation(s)
- Xin Liu
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen Key Laboratory for MRI, Shenzhen, China
| | | | | | | | | | | | | | | |
Collapse
|
25
|
Image Quality and Radiation Dose Stratified by Patient Heart Rate for Coronary 64- and 320-MDCT Angiography. AJR Am J Roentgenol 2013; 200:765-70. [DOI: 10.2214/ajr.12.9037] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
|
26
|
Schuetz GM, Schlattmann P, Achenbach S, Budoff M, Garcia MJ, Roehle R, Pontone G, Meijboom WB, Andreini D, Alkadhi H, Honoris L, Bettencourt N, Hausleiter J, Leschka S, Gerber BL, Meijs MF, Shabestari AA, Sato A, Zimmermann E, Schoepf UJ, Diederichsen A, Halon DA, Mendoza-Rodriguez V, Hamdan A, Nørgaard BL, Brodoefel H, Ovrehus KA, Jenkins SM, Halvorsen BA, Rixe J, Sheikh M, Langer C, Martuscelli E, Romagnoli A, Scholte AJ, Marcus RP, Ulimoen GR, Nieman K, Mickley H, Nikolaou K, Tardif JC, Johnson TR, Muraglia S, Chow BJ, Maintz D, Laule M, Dewey M. Individual patient data meta-analysis for the clinical assessment of coronary computed tomography angiography: protocol of the Collaborative Meta-Analysis of Cardiac CT (CoMe-CCT). Syst Rev 2013; 2:13. [PMID: 23414575 PMCID: PMC3576350 DOI: 10.1186/2046-4053-2-13] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2012] [Accepted: 01/17/2013] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Coronary computed tomography angiography has become the foremost noninvasive imaging modality of the coronary arteries and is used as an alternative to the reference standard, conventional coronary angiography, for direct visualization and detection of coronary artery stenoses in patients with suspected coronary artery disease. Nevertheless, there is considerable debate regarding the optimal target population to maximize clinical performance and patient benefit. The most obvious indication for noninvasive coronary computed tomography angiography in patients with suspected coronary artery disease would be to reliably exclude significant stenosis and, thus, avoid unnecessary invasive conventional coronary angiography. To do this, a test should have, at clinically appropriate pretest likelihoods, minimal false-negative outcomes resulting in a high negative predictive value. However, little is known about the influence of patient characteristics on the clinical predictive values of coronary computed tomography angiography. Previous regular systematic reviews and meta-analyses had to rely on limited summary patient cohort data offered by primary studies. Performing an individual patient data meta-analysis will enable a much more detailed and powerful analysis and thus increase representativeness and generalizability of the results. The individual patient data meta-analysis is registered with the PROSPERO database (CoMe-CCT, CRD42012002780). METHODS/DESIGN The analysis will include individual patient data from published and unpublished prospective diagnostic accuracy studies comparing coronary computed tomography angiography with conventional coronary angiography. These studies will be identified performing a systematic search in several electronic databases. Corresponding authors will be contacted and asked to provide obligatory and additional data. Risk factors, previous test results and symptoms of individual patients will be used to estimate the pretest likelihood of coronary artery disease. A bivariate random-effects model will be used to calculate pooled mean negative and positive predictive values as well as sensitivity and specificity. The primary outcome of interest will be positive and negative predictive values of coronary computed tomography angiography for the presence of coronary artery disease as a function of pretest likelihood of coronary artery disease, analyzed by meta-regression. As a secondary endpoint, factors that may influence the diagnostic performance and clinical value of computed tomography, such as heart rate and body mass index of patients, number of detector rows, and administration of beta blockade and nitroglycerin, will be investigated by integrating them as further covariates into the bivariate random-effects model. DISCUSSION This collaborative individual patient data meta-analysis should provide answers to the pivotal question of which patients benefit most from noninvasive coronary computed tomography angiography and thus help to adequately select the right patients for this test.
Collapse
Affiliation(s)
- Georg M Schuetz
- Department of Radiology, Charité - Universitätsmedizin Berlin Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charitéplatz 1, Berlin 10117, Germany
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
27
|
Methodological quality of diagnostic accuracy studies on non-invasive coronary CT angiography: influence of QUADAS (Quality Assessment of Diagnostic Accuracy Studies included in systematic reviews) items on sensitivity and specificity. Eur Radiol 2013; 23:1603-22. [PMID: 23322410 DOI: 10.1007/s00330-012-2763-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2012] [Revised: 11/29/2012] [Accepted: 12/10/2012] [Indexed: 12/27/2022]
Abstract
OBJECTIVES To evaluate the methodological quality of diagnostic accuracy studies on coronary computed tomography (CT) angiography using the QUADAS (Quality Assessment of Diagnostic Accuracy Studies included in systematic reviews) tool. METHODS Each QUADAS item was individually defined to adapt it to the special requirements of studies on coronary CT angiography. Two independent investigators analysed 118 studies using 12 QUADAS items. Meta-regression and pooled analyses were performed to identify possible effects of methodological quality items on estimates of diagnostic accuracy. RESULTS The overall methodological quality of coronary CT studies was merely moderate. They fulfilled a median of 7.5 out of 12 items. Only 9 of the 118 studies fulfilled more than 75 % of possible QUADAS items. One QUADAS item ("Uninterpretable Results") showed a significant influence (P = 0.02) on estimates of diagnostic accuracy with "no fulfilment" increasing specificity from 86 to 90 %. Furthermore, pooled analysis revealed that each QUADAS item that is not fulfilled has the potential to change estimates of diagnostic accuracy. CONCLUSIONS The methodological quality of studies investigating the diagnostic accuracy of non-invasive coronary CT is only moderate and was found to affect the sensitivity and specificity. An improvement is highly desirable because good methodology is crucial for adequately assessing imaging technologies. KEY POINTS • Good methodological quality is a basic requirement in diagnostic accuracy studies. • Most coronary CT angiography studies have only been of moderate design quality. • Weak methodological quality will affect the sensitivity and specificity. • No improvement in methodological quality was observed over time. • Authors should consider the QUADAS checklist when undertaking accuracy studies.
Collapse
|
28
|
|
29
|
Schuetz GM, Schlattmann P, Dewey M. Use of 3x2 tables with an intention to diagnose approach to assess clinical performance of diagnostic tests: meta-analytical evaluation of coronary CT angiography studies. BMJ 2012; 345:e6717. [PMID: 23097549 PMCID: PMC3480336 DOI: 10.1136/bmj.e6717] [Citation(s) in RCA: 105] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/24/2012] [Indexed: 01/22/2023]
Abstract
OBJECTIVE To determine whether a 3 × 2 table, using an intention to diagnose approach, is better than the "classic" 2 × 2 table at handling transparent reporting and non-evaluable results, when assessing the accuracy of a diagnostic test. DESIGN Based on a systematic search for diagnostic accuracy studies of coronary computed tomography (CT) angiography, full texts of relevant studies were evaluated to determine whether they could calculate an alternative 3 × 2 table. To quantify an overall effect, we pooled diagnostic accuracy values according to a meta-analytical approach. DATA SOURCES Medline (via PubMed), Embase (via Ovid), and ISI Web of Science electronic databases. ELIGIBILITY CRITERIA Prospective English or German language studies comparing coronary CT with conventional coronary angiography in all patients and providing sufficient data for a patient level analysis. RESULTS 120 studies (10,287 patients) were eligible. Studies varied greatly in their approaches to handling non-evaluable findings. We found 26 studies (including 2298 patients) that allowed us to calculate both 2 × 2 tables and 3 × 2 tables. Using a bivariate random effects model, we compared the 2 × 2 table with the 3 × 2 table, and found significant differences for pooled sensitivity (98.2 (95% confidence interval 96.7 to 99.1) v 92.7 (88.5 to 95.3)), area under the curve (0.99 (0.98 to 1.00) v 0.93 (0.91 to 0.95)), positive likelihood ratio (9.1 (6.2 to 13.3) v 4.4 (3.3 to 6.0)), and negative likelihood ratio (0.02 (0.01 to 0.04) v 0.09 (0.06 to 0.15); (P<0.05)). CONCLUSION Parameters for diagnostic performance significantly decrease if non-evaluable results are included by a 3 × 2 table for analysis (intention to diagnose approach). This approach provides a more realistic picture of the clinical potential of diagnostic tests.
Collapse
Affiliation(s)
- Georg M Schuetz
- Department of Radiology, The Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Freie Universität Berlin, 10117 Berlin, Germany
| | | | | |
Collapse
|
30
|
Restrepo CS, Tavakoli S, Marmol-Velez A. Contrast-enhanced cardiac magnetic resonance imaging. Magn Reson Imaging Clin N Am 2012; 20:739-60. [PMID: 23088948 DOI: 10.1016/j.mric.2012.07.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Cardiac magnetic resonance (CMR) imaging has significantly evolved in the past decade and is well established in the evaluation of coronary artery disease (CAD). The evaluation of cardiac anatomy and contractility by high-resolution CMR can be improved by using intravenous administration of gadolinium-based contrast agents. Delayed enhancement CMR imaging has become the gold standard for quantification of myocardial viability in CAD. Contrast-enhanced CMR imaging may circumvent the need for endomyocardial biopsy or localize the involved regions, thereby improving the diagnostic yield of this invasive procedure. The application of contrast-enhanced CMR as an advanced imaging technique for ischemic and nonischemic diseases is reviewed.
Collapse
Affiliation(s)
- Carlos S Restrepo
- Department of Radiology, The University of Texas Health Science Center, San Antonio, TX 78229, USA.
| | | | | |
Collapse
|
31
|
|
32
|
Kataoka Y, Uno K, Puri R, Nicholls SJ. Current imaging modalities for atherosclerosis. Expert Rev Cardiovasc Ther 2012; 10:457-71. [PMID: 22458579 DOI: 10.1586/erc.12.28] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Atherosclerotic disease is responsible for nearly half of all deaths in the western world. During the past three decades, considerable efforts have been made towards detection and assessment of atherosclerosis plaques in various vascular beds using different imaging techniques. Recently, both noninvasive and invasive modalities have frequently been used to refine cardiovascular risk assessment in high-risk individuals, to evaluate the natural history of atheroma burden and to reveal the impact of anti-atherosclerotic medical therapies on disease progression. In this review, we provide an overview of the currently available imaging modalities. This article will underscore arterial wall imaging to assess the impact of medical therapies on atherosclerosis and to develop the effective therapeutic strategies, resulting in the prevention of cardiovascular complications.
Collapse
Affiliation(s)
- Yu Kataoka
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, USA
| | | | | | | |
Collapse
|
33
|
Simultaneous Assessment of Myocardial Scar and Coronary Arteries Using Navigator-Gated 3-Dimensional Fat-Suppressed Delayed-Enhancement MRI at 3.0 T. J Comput Assist Tomogr 2012; 36:72-6. [DOI: 10.1097/rct.0b013e3182455cca] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
34
|
Lederlin M, Thambo JB, Latrabe V, Corneloup O, Cochet H, Montaudon M, Laurent F. Coronary imaging techniques with emphasis on CT and MRI. Pediatr Radiol 2011; 41:1516-25. [PMID: 22127683 DOI: 10.1007/s00247-011-2222-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2011] [Accepted: 06/06/2011] [Indexed: 01/23/2023]
Abstract
Coronary artery imaging in children is challenging, with high demands both on temporal and spatial resolution due to high heart rates and smaller anatomy. Although invasive conventional coronary angiography remains the benchmark technique, over the past 10 years, CT and MRI have emerged in the field of coronary imaging. The choice of hardware is important. For CT, the minimum requirement is a 64-channel scanner. The temporal resolution of the scanner is most important for optimising image quality and minimising radiation dose. Manufacturers have developed several modes of electrocardiographic (ECG) triggering to facilitate dose reduction. Recent technical advances have opened new possibilities in MRI coronary imaging. As a non-ionising radiation technique, MRI is of great interest in paediatric imaging. It is currently recommended in centres with appropriate expertise for the screening of patients with suspected congenital coronary anomalies. However, MRI is still not feasible in infants. This review describes and discusses the technical requirements and the pros and cons of all three techniques.
Collapse
Affiliation(s)
- Mathieu Lederlin
- CHU Bordeaux, Thoracic and Cardiovascular Imaging Department, Hôpital Cardiologique, Avenue de Magellan, Pessac 33600, France.
| | | | | | | | | | | | | |
Collapse
|
35
|
The feasibility of nurse-led assessment in acute chest pain admissions by means of coronary computed tomography. Eur J Cardiovasc Nurs 2011; 12:25-32. [PMID: 21741317 DOI: 10.1016/j.ejcnurse.2011.06.002] [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] [Indexed: 11/22/2022]
Abstract
BACKGROUND Cardiac computed tomography (CCT) is a non-invasive imaging technique for the diagnosis of coronary artery disease (CAD). The National Institute for Health and Clinical Excellence (NICE) recommend CCT for selected patients in the assessment of chest pain of recent onset. AIMS To assess the feasibility and utility of CCT in a nurse-led, protocol-based assessment of chest pain. METHODS Patients admitted over 4 months with suspected angina were assessed for eligibility for CCT by a specialist nurse. Eligibility was defined by: a likelihood of CAD < 90%, no features of acute coronary syndrome, no contra-indications to the scanning process, and the ability to give written consent. An age and sex-matched historical cohort (for whom CCT was unavailable) was compared with the CCT cohort with regard to the diagnosis or exclusion of CAD at 3 months post-discharge from hospital. RESULTS Of 198 patients admitted, 98 were identified as eligible for CCT. Of these, 37 were recommended for alternative management on cardiologist review, 18 declined consent, 23 were unable to be scanned within 24 h prior to discharge and 14 underwent CCT. CAD was diagnosed or excluded in 14/14 patients undergoing CCT. CAD was diagnosed or excluded in 11/14 patients investigated without CCT, leaving 3/14 patients with no clear diagnosis. CONCLUSION This study suggests nurses may be trained to assess patients for CCT within agreed protocols. In the UK it is likely these protocols will be based on NICE guidance. Despite potential diagnostic utility, CCT appears likely to form a small percentage of cardiac investigations undertaken.
Collapse
|
36
|
Radiation exposure to patients in a multicenter coronary angiography trial (CORE 64). AJR Am J Roentgenol 2011; 196:1126-32. [PMID: 21512080 DOI: 10.2214/ajr.09.3983] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The objective of this study was to assess the exposure of patients to radiation for the cardiac CT acquisition protocol of the multicenter Coronary Artery Evaluation Using 64-Row Multidetector Computed Tomography Angiography (CORE 64) trial. MATERIALS AND METHODS An algorithm for patient dose assessment with Monte Carlo dosimetry was developed for the Aquilion 64-MDCT scanner. During the CORE 64 study, different acquisition protocols were used depending on patient size and sex; therefore, six patient models were constructed representing three men and three women in the categories of small, normal size, and obese. Organ dose and effective dose resulting from the cardiac CT protocol were assessed for these six patient models. RESULTS The average effective dose for coronary CT angiography (CTA) calculated according to Report 103 of the International Commission on Radiological Protection (ICRP) is 19 mSv (range, 16-26 mSv). The average effective dose for the whole cardiac CT protocol including CT scanograms, bolus tracking, and calcium scoring is slightly higher-22 mSv (range, 18-30 mSv). An average conversion factor for the calculation of effective dose from dose-length product of 0.030 mSv/mGy · cm was derived for coronary CTA. CONCLUSION The current methods of assessing patient dose are not well suited for cardiac CT acquisitions, and published effective dose values tend to underestimate effective dose. The effective dose of cardiac CT is approximately 25% higher when assessed according to the preferred ICRP Report 103 compared with ICRP Report 60. Underestimation of effective dose by 43% or 53% occurs in coronary CTA according to ICRP Report 103 when a conversion factor (E / DLP, where E is effective dose and DLP is dose-length product) for general chest CT of 0.017 or 0.014 mSv/mGy · cm, respectively, is used instead of 0.030 mSv/mGy · cm.
Collapse
|
37
|
Influence of coronary artery disease prevalence on predictive values of coronary CT angiography: a meta-regression analysis. Eur Radiol 2011; 21:1904-13. [PMID: 21597986 DOI: 10.1007/s00330-011-2142-2] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2010] [Revised: 03/09/2011] [Accepted: 03/11/2011] [Indexed: 01/11/2023]
Abstract
OBJECTIVE To evaluate the impact of coronary artery disease (CAD) prevalence on the predictive values of coronary CT angiography. METHODS We performed a meta-regression based on a generalised linear mixed model using the binomial distribution and a logit link to analyse the influence of the prevalence of CAD in published studies on the per-patient negative and positive predictive values of CT in comparison to conventional coronary angiography as the reference standard. A prevalence range in which the negative predictive value was higher than 90%, while at the same time the positive predictive value was higher than 70% was considered appropriate. RESULTS The summary negative and positive predictive values of coronary CT angiography were 93.7% (95% confidence interval [CI] 92.8-94.5%) and 87.5% (95% CI, 86.5-88.5%), respectively. With 95% confidence, negative and positive predictive values higher than 90% and 70% were available with CT for a CAD prevalence of 18-63%. CT systems with >16 detector rows met these requirements for the positive (P < 0.01) and negative (P < 0.05) predictive values in a significantly broader range than systems with ≤16 detector rows. CONCLUSION It is reasonable to perform coronary CT angiography as a rule-out test in patients with a low-to-intermediate likelihood of disease.
Collapse
|
38
|
Hamdan A, Asbach P, Wellnhofer E, Klein C, Gebker R, Kelle S, Kilian H, Huppertz A, Fleck E. A prospective study for comparison of MR and CT imaging for detection of coronary artery stenosis. JACC Cardiovasc Imaging 2011; 4:50-61. [PMID: 21232704 DOI: 10.1016/j.jcmg.2010.10.007] [Citation(s) in RCA: 73] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2010] [Revised: 09/28/2010] [Accepted: 10/04/2010] [Indexed: 02/07/2023]
Abstract
OBJECTIVES the purpose of the present study was to directly compare the diagnostic accuracy of magnetic resonance imaging (MRI) and multislice computed tomography (CT) for the detection of coronary artery stenosis. BACKGROUND both imaging modalities have emerged as potential noninvasive coronary imaging modalities; however, CT-unlike MRI-exposes patients to radiation and iodinated contrast agent. METHODS one hundred twenty consecutive patients with suspected or known coronary artery disease prospectively underwent 32-channel 3.0-T MRI and 64-slice CT before elective X-ray angiography. The diagnostic accuracy of the 2 modalities for detecting significant coronary stenosis (≥ 50% luminal diameter stenosis) in segments ≥ 1.5 mm diameter was compared with quantitative invasive coronary angiography as the reference standard. RESULTS in the patient-based analysis MRI and CT angiography showed similar diagnostic accuracy of 83% (95% confidence interval [CI]: 75 to 87) versus 87% (95% CI: 80 to 92), p = 0.38; sensitivity of 87% (95% CI: 76 to 93) versus 90% (95% CI: 80 to 95), p = 0.16; and specificity of 77% (95% CI: 63 to 87) versus 83% (95% CI: 70 to 91), p = 0.06, respectively. All cases of left main or 3-vessel disease were correctly diagnosed by MRI and CT angiography. In the patient-based analysis MRI and CT angiography were similar in their ability to identify patients who subsequently underwent revascularization: the area under the receiver-operator characteristic curve was 0.78 (95% CI: 0.69 to 0.87) for MRI and 0.82 (95% CI: 0.74 to 0.90) for CT angiography. CONCLUSIONS thirty-two channel 3.0-T MRI and 64-slice CT angiography similarly identify significant coronary stenosis in patients with suspected or known coronary artery disease scheduled for elective coronary angiography. However, CT angiography showed a favorable trend toward higher diagnostic performance.
Collapse
Affiliation(s)
- Ashraf Hamdan
- Department of Internal Medicine/Cardiology, Deutsches Herzzentrum Berlin, Berlin, Germany
| | | | | | | | | | | | | | | | | |
Collapse
|
39
|
Sun G, Li M, Li L, Li GY, Zhang H, Peng ZH. Optimal systolic and diastolic reconstruction windows for coronary CT angiography using 320-detector rows dynamic volume CT. Clin Radiol 2011; 66:614-20. [PMID: 21513921 DOI: 10.1016/j.crad.2011.02.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2010] [Revised: 02/17/2011] [Accepted: 02/23/2011] [Indexed: 11/17/2022]
Abstract
AIM To investigate the optimal pattern of systolic and diastolic reconstruction windows for coronary computed tomography (CT) angiography using 320-detector rows dynamic volume CT (DVCT). MATERIAL AND METHODS A prospective analysis was performed on the data from 77 patients who were admitted between December 2008 and July 2009 for DVCT. The images were reconstructed in 10% steps throughout the 10-100% of R-R interval. Data sets for the three major coronary arteries [right coronary artery (RCA), left anterior descending artery (LAD), and left circumflex artery (LCX)] were evaluated by two independent readers. The quality of the images from each examined artery was graded from 1 (no motion artefacts) to 4 (severe motion artefacts over the entire vessel). The optimal systolic and diastolic reconstruction windows and the relationship between image quality and heart rate (HR) were analysed. The HR at which the optimal reconstruction window shifted from diastole to systole was predicted. RESULTS The average HR during imaging was 69.5±12.8 beats/min (range 46-102beats/min). HR was positively correlated with the proportion of systole (r=0.78, p<0.001). As HR increased, the optimal reconstruction windows shifted to later phases in both systole and diastole. Image quality for optimal systolic and diastolic reconstructions both deteriorated significantly with higher HRs (r=0.38, p<0.001; r=0.82, p<0.001). However, image quality in systolic reconstructions did not deteriorate as much as in diastolic reconstructions. The cut-off HRs at which optimal reconstruction intervals turned from diastole to systole was 90.8beats/min. CONCLUSIONS In patients with a low HR, the optimal coronary reconstruction window is in mid-late diastole. As the HR increases, systolic reconstruction often yields superior image quality compared with diastolic reconstruction.
Collapse
Affiliation(s)
- G Sun
- Department of Medical Imaging, Jinan Military General Hospital, Jinan, Shandong Province, China
| | | | | | | | | | | |
Collapse
|
40
|
Pugliese F, de Feyter PJ. Multislice Computed Tomography of Coronary Arteries. Interv Cardiol 2011. [DOI: 10.1002/9781444319446.ch12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
|
41
|
Prospective gating with 320-MDCT angiography: effect of volume scan length on radiation dose. AJR Am J Roentgenol 2011; 196:407-11. [PMID: 21257894 DOI: 10.2214/ajr.10.4903] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The purpose of this study was to evaluate the relation between radiation dose reduction and volume scan length for prospectively ECG-gated 320-MDCT angiography in the diagnosis of coronary artery disease. MATERIALS AND METHODS MDCT with prospective ECG gating was performed at one of the three volume scan lengths depending on heart length. Of 175 patients, 95 (55%; body mass index, 29 ± 5.9; mean heart rate, 59 ± 7 beats/min) underwent scanning at 160 mm; 46 (26%; body mass index, 30 ± 4.1; mean heart rate, 56 ± 5.74 beats/min) at 140 mm; and 34 (19%; body mass index, 30 ± 3.71; mean heart rate, 58 ± 3.96 beats/min) at 120 mm. RESULTS The median radiation doses were 6.5 mSv (95% CI, 6.03-7.2 mSv) for the 95 patients who underwent scanning at a volume scan length of 160 mm, 4.33 mSv (95% CI, 4.06-6.62 mSv) for the 46 patients who underwent scanning at 140 mm, and 3.47 mSv (95% CI, 3.15-3.62 mSv) for the 34 patients who underwent scanning at 120 mm. The reduction in scan length from 160 to 140 mm represented a reduction in scan length of 12.5% and the reduction to 120 mm a reduction of 25%. The median radiation dose was reduced 33% when volume scan length was changed to 140 mm and 47% when the length was changed to 120 mm. CONCLUSION Dose optimization remains an important concern in cardiac CT, and for 320-MDCT angiography, substantial dose reduction can be achieved by reducing volume scan length so that it is in concert with the patient's heart length.
Collapse
|
42
|
|
43
|
Gang S, Min L, Li L, Guo-Ying L, Lin X, Qun J, Hua Z. Evaluation of CT coronary artery angiography with 320-row detector CT in a high-risk population. Br J Radiol 2011; 85:562-70. [PMID: 21304010 DOI: 10.1259/bjr/90347290] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES The aim of this article was to prospectively evaluate the accuracy and radiation dose of 320-detector row dynamic volume CT (DVCT) for the detection of coronary artery disease (CAD) in a high-risk population. METHODS 60 patients with a high risk of CAD underwent DVCT without preceding heart rate control and also underwent invasive coronary angiography (ICA), which served as the standard reference. RESULTS On a per segment analysis, overall sensitivity was 95.3%, specificity was 97.6%, positive predictive value was 90.6%, negative predictive value was 98.8% and Youden index was 0.93. In both heart rate subgroups, diagnostic accuracy for the assessment of coronary artery stenosis was similar. The accuracy of the subgroup with an Agatston score ≥100 was lower than that for patients with an Agatston score <100. However, the difference between DVCT and ICA results was not significant (p=0.08). The mean estimated effective dose of CT was 12.5 ± 9.4 mSv. In those patients with heart rates less than 70 beats per minute (bpm), the mean radiation exposure of DVCT was 5.2 ± 0.9 mSv. The effective radiation dose was significantly lower than that of ICA (14.1 ± 5.9 mSv) (p<0.001). When the heart rate was >70 bpm, a significantly higher dose was delivered to patients with DVCT (22.6 ± 5.2 mSv, p<0.001) than with ICA (15.0 ± 5.3 mSv, p<0.001). CONCLUSION DVCT reliably provides high diagnostic accuracy without heart rate/rhythm control. However, from a dosimetric point of view, it is recommended that heart rate should be controlled to <70 bpm to decrease radiation dose.
Collapse
Affiliation(s)
- S Gang
- Department of Medical Imaging, Jinan Military General Hospital, Jinan, Shandong Province, China.
| | | | | | | | | | | | | |
Collapse
|
44
|
|
45
|
Choudhary G, Atalay MK, Ritter N, Shin V, Grand D, Pearson C, Kirchner RM, Wu WC. Interobserver Reliability in the Assessment of Coronary Stenoses by Multidetector Computed Tomography. J Comput Assist Tomogr 2011; 35:126-34. [DOI: 10.1097/rct.0b013e3181f80bef] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
46
|
Prospectively versus retrospectively ECG-gated 256-slice coronary CT angiography: image quality and radiation dose over expanded heart rates. Int J Cardiovasc Imaging 2010; 28:153-62. [PMID: 21153709 DOI: 10.1007/s10554-010-9760-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2010] [Accepted: 11/26/2010] [Indexed: 12/31/2022]
Abstract
To compare image quality and radiation dose estimates for coronary computed tomography angiography (CCTA) obtained with a prospectively gated transaxial (PGT) CT technique and a retrospectively gated helical (RGH) CT technique using a 256-slice multidetector CT (MDCT) scanner and establish an upper limit of heart rate to achieve reliable diagnostic image quality using PGT. 200 patients (135 males, 65 females) with suspected coronary artery disease (CAD) underwent CCTA on a 256-slice MDCT scanner. The PGT patients were enrolled prospectively from January to June, 2009. For each PGT patient, we found the paired ones in retrospective-gating patients database and randomly selected one patient in these match cases and built up the RGH group. Image quality for all coronary segments was assessed and compared between the two groups using a 4-point scale (1: non-diagnostic; 4: excellent). Effective radiation doses were also compared. The average heart rate ± standard deviation (HR ± SD) between the two groups was not significantly different (PGT: 64.6 ± 12.9 bpm, range 45-97 bpm; RGH: 66.7 ± 10.9 bpm, range 48-97 bpm, P = 0.22). A receiver-operating characteristic (ROC) analysis determined a cutoff HR of 75 bpm up to which diagnostic image quality could be achieved using the PGT technique (P < 0.001). There were no significant differences in assessable coronary segments between the two groups for HR ≤ 75 bpm (PGT: 99.9% [961 of 962 segments]; RGH: 99.8% [1038 of 1040 segments]; P = 1.0). At HR > 75 bpm, the performance of the PGT technique was affected, resulting in a moderate reduction of percentage assessable coronary segments using this approach (PGT: 95.5% [323 of 338 segments]; RGH: 98.5% [261 of 265 segments]; P = 0.04). The mean estimated effective radiation dose for the PGT group was 3.0 ± 0.7 mSv, representing reduction of 73% compared to that of the RGH group (11.1 ± 1.6 mSv) (P < 0.001). Prospectively-gated axial coronary computed tomography using a 256-slice multidetector CT scanner with a 270 ms tube rotation time enables a significant reduction in effective radiation dose while simultaneously providing image quality comparable to the retrospectively gated helical technique. Our experience demonstrates the applicability of this technique over a wider range of heart rates (up to 75 bpm) than previously reported.
Collapse
|
47
|
Cardiac computed tomography and magnetic resonance imaging: the clinical use from a cardiologist's perspective. J Thorac Imaging 2010; 25:194-203. [PMID: 20711035 DOI: 10.1097/rti.0b013e3181eaadac] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The introduction and continued evolution of cardiac computed tomography and magnetic resonance imaging have added considerable noninvasive diagnostic insight into a wide range of frequently encountered clinical cardiology scenarios. With an increasing range of imaging modalities, and multiple methods of image acquisition in each, a detailed understanding of the clinical question at hand is often necessary to select the proper study and make optimal use of imaging data. We review common cardiac issues from a clinician's perspective, along with the unique role to be played by computed tomography and magnetic resonance imaging in each condition. This review will hopefully facilitate a strong dialogue between imagers and managing clinicians, creating a shared knowledge of both the capabilities of imaging and the management challenges that treating clinicians face.
Collapse
|
48
|
Influence of statin treatment on coronary atherosclerosis visualised using multidetector computed tomography. Eur Radiol 2010; 20:2824-33. [DOI: 10.1007/s00330-010-1880-x] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2010] [Revised: 06/07/2010] [Accepted: 06/20/2010] [Indexed: 10/19/2022]
|
49
|
Hundley WG, Bluemke DA, Finn JP, Flamm SD, Fogel MA, Friedrich MG, Ho VB, Jerosch-Herold M, Kramer CM, Manning WJ, Patel M, Pohost GM, Stillman AE, White RD, Woodard PK. ACCF/ACR/AHA/NASCI/SCMR 2010 expert consensus document on cardiovascular magnetic resonance: a report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents. J Am Coll Cardiol 2010; 55:2614-62. [PMID: 20513610 PMCID: PMC3042771 DOI: 10.1016/j.jacc.2009.11.011] [Citation(s) in RCA: 440] [Impact Index Per Article: 31.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
|
50
|
Hundley WG, Bluemke DA, Finn JP, Flamm SD, Fogel MA, Friedrich MG, Ho VB, Jerosch-Herold M, Kramer CM, Manning WJ, Patel M, Pohost GM, Stillman AE, White RD, Woodard PK. ACCF/ACR/AHA/NASCI/SCMR 2010 expert consensus document on cardiovascular magnetic resonance: a report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents. Circulation 2010; 121:2462-508. [PMID: 20479157 PMCID: PMC3034132 DOI: 10.1161/cir.0b013e3181d44a8f] [Citation(s) in RCA: 226] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
|