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Addou E, Rossouw JE, Bandettini WP, Varagic J, Wei GS. The Intersection of Cardiovascular Health and Maternal Health: Portfolio Analysis of Federal Grant Funding 2016-2021. J Womens Health (Larchmt) 2024. [PMID: 38573239 DOI: 10.1089/jwh.2023.0750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2024] Open
Abstract
Background: The United States has high and increasing rates of maternal morbidity and mortality, large proportions of which are related to cardiovascular health (CVH). Methods: We searched for National Institutes of Health (NIH) supported research as well as that of two other Agencies in the U.S. Department of Health and Human Services (DHHS) for fiscal years (FY) 2016-2021. Grants included maternal health conditions or exposures across all pregnancy stages, but excluded grants that focused entirely on birth, neonatal, infant/childhood outcomes. Results were manually curated by reviewing the abstract and specific aims. Grants deemed to be relevant were grouped by category. Results: Between FY 2016-2021, overall Maternal Health grants remained unchanged at an average of 1.4% of total DHHS grant funding. Maternal CVH-specific (MCVH) funding amounted to $278,926,105 for 755 grants, $191,344,649 was for 534 Type-1 grants, representing a twofold increase. Non-NIH DHHS agencies most commonly funded general Maternal Health related to CVH; NIH focused funding classified as hypertensive disorders of pregnancy, maternal morbidity and mortality, obesity, and diabetes. Non-NIH DHSS Agencies most commonly funded clinical applied research. In addition to clinical applied grants, NIH funded substantial proportions of grants classified as basic research, clinical trials, and/or translational. National Heart, Lung, and Blood Institute (NHLBI) MCVH grants studied participants in the pre-partum period (78.5%), followed by the post-partum period (50.5%), with relatively few in pre-pregnancy and peri-partum periods (10.8% and 9.7%, respectively); at the NIH level, the peri-partum period had better representation at 20.3%, whereas the pre-pregnancy period remained low at 9.9%. Conclusions: Federal grant funding for maternal health including MCVH increased at the same rate as its funding for overall research, and represented only 1.4% of overall total funding. The pre-pregnancy period was understudied in overall NIH funding and represents a gap area whereby funding agencies could further foster research advances.
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Affiliation(s)
- Ebyan Addou
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA
| | - Jacques E Rossouw
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA
| | - W Patricia Bandettini
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA
| | - Jasmina Varagic
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA
| | - Gina S Wei
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA
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Kattapuram N, Shadman S, Morgan EE, Benton C, Awojoodu S, Kim DY, Ramos J, Barac A, Bandettini WP, Kellman P, Weissman G, Carlsson M. Timing of Regadenoson-induced Peak Hyperemia and the Effects on Coronary Flow Reserve. medRxiv 2024:2024.01.15.23300449. [PMID: 38410488 PMCID: PMC10896412 DOI: 10.1101/2024.01.15.23300449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Background Regadenoson is used to induce hyperemia in cardiac imaging, facilitating diagnosis of ischemia and assessment of coronary flow reserve (CFR). While the regadenoson package insert recommends administration of radionuclide tracer 10-20 seconds after injection, peak hyperemia has been observed at approximately 100 seconds after injection in healthy volunteers undergoing cardiovascular magnetic resonance imaging (CMR). It is unclear when peak hyperemia occurs in a patient population. Objectives The goal of this study was to determine time to peak hyperemia after regadenoson injection in healthy volunteers and patients, and whether the recommended image timing in the package insert underestimates CFR. Methods Healthy volunteers (n=15) and patients (n=25) underwent stress CMR, including phase-contrast imaging of the coronary sinus at rest and multiple timepoints after 0.4 mg regadenoson injection. Coronary sinus flow (ml/min) was divided by resting values to yield CFR. Smoothed, time-resolved curves for CFR were generated with pointwise 95% confidence intervals. Results CFR between 60 and 120 seconds was significantly higher than CFR at 30 seconds after regadenoson injection (p < 0.05) as shown by non-overlapping 95% confidence intervals for both healthy volunteers (30 s, [2.8, 3.4]; 60 s, [3.8, 4.4]; 90 s, [4.1, 4.7]; 120 s, [3.6, 4.3]) and patients (30 s, [2.1, 2.5]; 60 s, [2.6, 3.1]; 90 s, [2.7, 3.2]; 120 s, [2.5, 3.1]). Conclusion Imaging at 90 seconds following regadenoson injection is the optimal approach to capture peak hyperemia. Imaging at 30 seconds, which is more aligned with the package insert recommendation, would yield an underestimate of CFR and confound assessment of microvascular dysfunction.
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Affiliation(s)
- Nathan Kattapuram
- Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA
| | - Shahrad Shadman
- Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA
| | - Eric E. Morgan
- Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA
| | - Charles Benton
- Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA
| | - Stacian Awojoodu
- Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA
| | - Dong-Yun Kim
- Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA
| | - Joao Ramos
- Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA
| | - Ana Barac
- Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA
- Inova Schar Heart and Vascular, Falls Church, VA, USA
| | - W. Patricia Bandettini
- Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA
| | - Peter Kellman
- Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA
| | - Gaby Weissman
- MedStar Heart and Vascular Institute, MedStar Washington Hospital Center, Washington, DC, USA
| | - Marcus Carlsson
- Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA
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Arai AE, Schulz-Menger J, Shah DJ, Han Y, Bandettini WP, Abraham A, Woodard PK, Selvanayagam JB, Hamilton-Craig C, Tan RS, Carr J, Teo L, Kramer CM, Wintersperger BJ, Harisinghani MG, Flamm SD, Friedrich MG, Klem I, Raman SV, Haverstock D, Liu Z, Brueggenwerth G, Santiuste M, Berman DS, Pennell DJ. Stress Perfusion Cardiac Magnetic Resonance vs SPECT Imaging for Detection of Coronary Artery Disease. J Am Coll Cardiol 2023; 82:1828-1838. [PMID: 37914512 DOI: 10.1016/j.jacc.2023.08.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/16/2023] [Accepted: 08/23/2023] [Indexed: 11/03/2023]
Abstract
BACKGROUND GadaCAD2 was 1 of 2 international, multicenter, prospective, Phase 3 clinical trials that led to U.S. Food and Drug Administration approval of gadobutrol to assess myocardial perfusion and late gadolinium enhancement (LGE) in adults with known or suspected coronary artery disease (CAD). OBJECTIVES A prespecified secondary objective was to determine if stress perfusion cardiovascular magnetic resonance (CMR) was noninferior to single-photon emission computed tomography (SPECT) for detecting significant CAD and for excluding significant CAD. METHODS Participants with known or suspected CAD underwent a research rest and stress perfusion CMR that was compared with a gated SPECT performed using standard clinical protocols. For CMR, adenosine or regadenoson served as vasodilators. The total dose of gadobutrol was 0.1 mmol/kg body weight. The standard of reference was a 70% stenosis defined by quantitative coronary angiography (QCA). A negative coronary computed tomography angiography could exclude CAD. Analysis was per patient. CMR, SPECT, and QCA were evaluated by independent central core lab readers blinded to clinical information. RESULTS Participants were predominantly male (61.4% male; mean age 58.9 ± 10.2 years) and were recruited from the United States (75.0%), Australia (14.7%), Singapore (5.7%), and Canada (4.6%). The prevalence of significant CAD was 24.5% (n = 72 of 294). Stress perfusion CMR was statistically superior to gated SPECT for specificity (P = 0.002), area under the receiver operating characteristic curve (P < 0.001), accuracy (P = 0.003), positive predictive value (P < 0.001), and negative predictive value (P = 0.041). The sensitivity of CMR for a 70% QCA stenosis was noninferior and nonsuperior to gated SPECT. CONCLUSIONS Vasodilator stress perfusion CMR, as performed with gadobutrol 0.1 mmol/kg body weight, had superior diagnostic accuracy for diagnosis and exclusion of significant CAD vs gated SPECT.
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Affiliation(s)
| | - Jeanette Schulz-Menger
- Helios Klinikum Berlin Buch Klinik für Kardiologie und Nephrologie Abteilung Kardio-MRT, Berlin, Germany
| | - Dipan J Shah
- Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
| | - Yuchi Han
- The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Arun Abraham
- Royal Perth Hospital, Perth, Western Australia, Australia
| | - Pamela K Woodard
- Washington University School of Medicine, St Louis, Missouri, USA
| | | | | | - Ru-San Tan
- National Heart Centre Singapore, Singapore
| | - James Carr
- Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Lynette Teo
- National University Hospital, Singapore, Singapore
| | | | - Bernd J Wintersperger
- University of Toronto, Department of Medical Imaging, Toronto General Hospital, Toronto, Ontario, Canada
| | | | | | | | - Igor Klem
- Duke University, Durham, North Carolina, USA
| | - Subha V Raman
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | - Zheyu Liu
- Bayer Pharmaceuticals LLC, Whippany, New Jersey, USA
| | | | | | | | - Dudley J Pennell
- National Heart and Lung Institute, Imperial College, London, United Kingdom; Royal Brompton Hospital, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
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Bandettini WP. A Rapid Cardiovascular Magnetic Resonance Assessment for Cancer Therapy-Related Cardiac Dysfunction Supports the Routine Incorporation of Cardiovascular Magnetic Resonance into Cardio-Oncology Care. Am J Cardiol 2023; 206:330-331. [PMID: 37743145 DOI: 10.1016/j.amjcard.2023.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 09/05/2023] [Indexed: 09/26/2023]
Affiliation(s)
- W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
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Bandettini WP, Kwong RY, Patel AR, Plein S. Society for Cardiovascular Magnetic Resonance perspective on the ACC/AHA/ASE/ASNC/ASPC/HFSA/HRS/SCAI/SCCT/SCMR/STS 2023 multi-modality appropriate use criteria for the detection and risk assessment of chronic coronary disease. J Cardiovasc Magn Reson 2023; 25:59. [PMID: 37858255 PMCID: PMC10585828 DOI: 10.1186/s12968-023-00959-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 08/25/2023] [Indexed: 10/21/2023] Open
Affiliation(s)
- W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Raymond Y Kwong
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Amit R Patel
- Cardiovascular Division, Department of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
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Dey D, Arnaout R, Antani S, Badano A, Jacques L, Li H, Leiner T, Margerrison E, Samala R, Sengupta PP, Shah SJ, Slomka P, Williams MC, Bandettini WP, Sachdev V. Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging: Translation to Patient Care. JACC Cardiovasc Imaging 2023; 16:1209-1223. [PMID: 37480904 PMCID: PMC10524663 DOI: 10.1016/j.jcmg.2023.05.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 03/20/2023] [Accepted: 05/09/2023] [Indexed: 07/24/2023]
Abstract
Artificial intelligence (AI) promises to revolutionize many fields, but its clinical implementation in cardiovascular imaging is still rare despite increasing research. We sought to facilitate discussion across several fields and across the lifecycle of research, development, validation, and implementation to identify challenges and opportunities to further translation of AI in cardiovascular imaging. Furthermore, it seemed apparent that a multidisciplinary effort across institutions would be essential to overcome these challenges. This paper summarizes the proceedings of the National Heart, Lung, and Blood Institute-led workshop, creating consensus around needs and opportunities for institutions at several levels to support and advance research in this field and support future translation.
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Affiliation(s)
- Damini Dey
- Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Rima Arnaout
- Department of Medicine, University of California-San Francisco, San Francisco, California, USA.
| | - Sameer Antani
- National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | - Aldo Badano
- Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland, USA
| | | | - Huiqing Li
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Edward Margerrison
- Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland, USA
| | - Ravi Samala
- Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland, USA
| | | | - Sanjiv J Shah
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Piotr Slomka
- Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Michelle C Williams
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; British Heart Foundation Data Science Centre, London, United Kingdom
| | - W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Vandana Sachdev
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
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Shizukuda Y, Patricia Bandettini W, Rosing DR. Effect of standard phlebotomy on myocardial and hepatic iron levels in newly diagnosed cardiac asymptomatic hereditary hemochromatosis subjects with C282Y homozygosity. EJHaem 2023; 4:544-547. [PMID: 37206277 PMCID: PMC10188495 DOI: 10.1002/jha2.662] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 01/30/2023] [Accepted: 02/03/2023] [Indexed: 05/20/2023]
Affiliation(s)
- Yukitaka Shizukuda
- Cardiovascular BranchNational HeartLungand Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
- Division of Cardiovascular Health and DiseaseDepartment of Internal MedicineUniversity of CincinnatiOhioUSA
- Division of CardiologyDepartment of Internal MedicineCincinnati VA Medical CenterCincinnatiOhioUSA
| | - W. Patricia Bandettini
- Cardiovascular BranchNational HeartLungand Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Douglas R. Rosing
- Cardiovascular BranchNational HeartLungand Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
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Islam S, Heydari B, Ge Y, Antiochos P, Steel KE, Bingham SE, Abdullah S, Mikolich JR, Arai AE, Bandettini WP, Patel AR, Shanbhag SM, Farzaneh-Far A, Heitner J, Shenoy C, Leung S, Gonzalez JA, Raman SV, Ferrari VA, Schulz-Menger J, Simonetti OP, Stuber M, Kwong RY. PROGNOSTIC IMPLICATIONS OF VARIOUS MYOCARDIAL PATTERNS OF ISCHEMIA AND INFARCTION FROM 4,537 CONTRAST-ENHANCED STRESS CMR STUDIES IN PATIENTS WITH STABLE CHEST PAIN SYNDROMES: ANALYSIS OF THE MULTICENTER SPINS REGISTRY. J Am Coll Cardiol 2023. [DOI: 10.1016/s0735-1097(23)01825-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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Qazi S, Ge Y, Patel K, Antiochos P, Islam S, Longmore RB, Heydari B, Bingham SE, Mikolich JR, Arai AE, Bandettini WP, Shanbhag SM, Patel AR, Farzaneh-Far A, Heitner J, Shenoy C, Leung S, Gonzalez JA, Shah DJ, Raman SV, Ferrari VA, Schulz-Menger J, Stuber M, Simonetti OP, Kwong RY. STRESS CARDIOVASCULAR MAGNETIC RESONANCE IMAGING IS AN EFFECTIVE PROGNOSTIC TOOL IN PATIENTS WITH SUSPECTED ISCHEMIC CARDIOMYOPATHY REGARDLESS OF AGE, SEX, RACE, OBESITY, HYPERTENSION, DIABETES, AND LV DILATION. J Am Coll Cardiol 2023. [DOI: 10.1016/s0735-1097(23)01916-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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Heydari B, Ge Y, Antiochos P, Islam S, Steel K, Bingham S, Abdullah S, Mikolich JR, Arai AE, Bandettini WP, Patel AR, Shanbhag SM, Farzaneh-Far A, Heitner JF, Shenoy C, Leung SW, Gonzalez JA, Raman SV, Ferrari VA, Shah DJ, Schulz-Menger J, Stuber M, Simonetti OP, Kwong RY. Sex-Specific Stress Perfusion Cardiac Magnetic Resonance Imaging in Suspected Ischemic Heart Disease: Insights From SPINS Retrospective Registry. JACC Cardiovasc Imaging 2023:S1936-878X(22)00752-5. [PMID: 36764892 DOI: 10.1016/j.jcmg.2022.11.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 09/28/2022] [Accepted: 11/30/2022] [Indexed: 02/11/2023]
Abstract
BACKGROUND Cardiovascular disease (CVD) remains the leading cause of mortality in women, but current noninvasive cardiac imaging techniques have sex-specific limitations. OBJECTIVES In this study, the authors sought to investigate the effect of sex on the prognostic utility and downstream invasive revascularization and costs of stress perfusion cardiac magnetic resonance (CMR) for suspected CVD. METHODS Sex-specific prognostic performance was evaluated in a 2,349-patient multicenter SPINS (Stress CMR Perfusion Imaging in the United States [SPINS] Study) registry. The primary outcome measure was a composite of cardiovascular death and nonfatal myocardial infarction; secondary outcomes were hospitalization for unstable angina or heart failure, and late unplanned coronary artery bypass grafting. RESULTS SPINS included 1,104 women (47% of cohort); women had higher prevalence of chest pain (62% vs 50%; P < 0.0001) but lower use of medical therapies. At the 5.4-year median follow-up, women with normal stress CMR had a low annualized rate of primary composite outcome similar to men (0.54%/y vs 0.75%/y, respectively; P = NS). In contrast, women with abnormal CMR were at higher risk for both primary (3.74%/y vs 0.54%/y; P < 0.0001) and secondary (9.8%/y vs 1.6%/y; P < 0.0001) outcomes compared with women with normal CMR. Abnormal stress CMR was an independent predictor for the primary (HR: 2.64 [95% CI: 1.20-5.90]; P = 0.02) and secondary (HR: 2.09 [95% CI: 1.43-3.08]; P < 0.0001) outcome measures. There was no effect modification for sex. Women had lower rates of invasive coronary angiography (ICA; 3.6% vs 7.3%; P = 0.0001) and downstream costs ($114 vs $171; P = 0.001) at 90 days following CMR. There was no effect of sex on diagnostic image quality. CONCLUSIONS Stress CMR demonstrated excellent prognostic performance with lower rates of ICA referral in women. Stress CMR should be considered as a first-line noninvasive imaging tool for the evaluation of women. (Stress CMR Perfusion Imaging in the United States [SPINS] Study [SPINS]; NCT03192891).
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Affiliation(s)
- Bobak Heydari
- Stephenson Cardiac Imaging Center, University of Calgary, Calgary, Alberta, Canada
| | - Yin Ge
- Division of Cardiology, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Panagiotis Antiochos
- Cardiology Division, University Hospital of Lausanne (CHUV), Lausanne, Switzerland
| | - Sabeeh Islam
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Kevin Steel
- St Joseph Medical Center, Bellingham, Washington, USA
| | | | - Shuaib Abdullah
- VA North Texas Medical Center and University of Texas-Southwestern Medical School, Dallas, Texas, USA
| | - J Ronald Mikolich
- Department of Cardiovascular Medicine, Sharon Regional Health System, Sharon, Pennsylvania, USA
| | - Andrew E Arai
- Division of Intramural Research, Cardiology Branch, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - W Patricia Bandettini
- Division of Intramural Research, Cardiology Branch, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Amit R Patel
- Division of Cardiology, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Sujata M Shanbhag
- Division of Intramural Research, Cardiology Branch, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | | | - John F Heitner
- Cardiovascular Division, New York University Grossman School of Medicine, New York, New York, USA
| | - Chetan Shenoy
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Steve W Leung
- Division of Cardiovascular Medicine, Gill Heart and Vascular Institute, University of Kentucky, Lexington, Kentucky, USA
| | - Jorge A Gonzalez
- Division of Cardiology and Radiology, Scripps Clinic, La Jolla, California, USA
| | - Subha V Raman
- Indiana University Cardiovascular Institute and Krannert Cardiovascular Research Center, Indianapolis, Indiana, USA
| | - Victor A Ferrari
- Hospital of the University of Pennsylvania and Penn Cardiovascular Institute, Philadelphia, Pennsylvania, USA
| | - Dipan J Shah
- Weill Cornell Medical College, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
| | - Jeanette Schulz-Menger
- Charité, Medical Faculty of the Humboldt University, Experimental and Clinical Research Center, Berlin, Germany; Helios Clinics, Cardiology, Berlin, Germany
| | - Matthias Stuber
- Department of Radiology, University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Orlando P Simonetti
- Division of Cardiovascular Medicine, Department of Internal Medicine, Ohio State University, Columbus, Ohio, USA
| | - Raymond Y Kwong
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
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Sierra-Galan LM, Aggarwal NR, Stojanovska J, Raman SV, Han Y, Ferreira VM, Thomas K, Seiberlich N, Parwani P, Bucciarelli-Ducci C, Baldassarre LA, Mavrogeni S, Ordovas K, Schulz-Menger J, Bandettini WP. Women physicians in cardiovascular magnetic resonance: Past, present, and future. Front Cardiovasc Med 2023; 9:984326. [PMID: 36684587 PMCID: PMC9848434 DOI: 10.3389/fcvm.2022.984326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 12/12/2022] [Indexed: 01/06/2023] Open
Abstract
Women's engagement in medicine, and more specifically cardiovascular imaging and cardiovascular MRI (CMR), has undergone a slow evolution over the past several decades. As a result, an increasing number of women have joined the cardiovascular imaging community to contribute their expertise. This collaborative work summarizes the barriers that women in cardiovascular imaging have overcome over the past several years, the positive interventions that have been implemented to better support women in the field of CMR, and the challenges that still remain, with a special emphasis on women physicians.
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Affiliation(s)
- Lilia M. Sierra-Galan
- Cardiology Department of the Cardiovascular Division at the American British Cowdray Medical Center, Mexico City, Mexico
| | - Niti R. Aggarwal
- Department of Cardiovascular Disease, Mayo Clinic, Rochester, MN, United States
| | | | - Subha V. Raman
- Indiana University School of Medicine, Indianapolis, IN, United States
| | - Yuchi Han
- The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Vanessa M. Ferreira
- University of Oxford Centre for Clinical Magnetic Resonance Research, Oxford British Heart Foundation Centre of Research Excellence, The National Institute for Health Research Oxford Biomedical Research Centre at the Oxford University Hospitals NHS Foundation Trust, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Katharine Thomas
- University of Oxford Centre for Clinical Magnetic Resonance Research, Oxford British Heart Foundation Centre of Research Excellence, The National Institute for Health Research Oxford Biomedical Research Centre at the Oxford University Hospitals NHS Foundation Trust, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Nicole Seiberlich
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
| | - Purvi Parwani
- Division of Cardiology, Department of Medicine, Loma Linda University Health, Loma Linda, CA, United States
| | | | - Lauren A. Baldassarre
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, United States
| | | | - Karen Ordovas
- Department of Radiology, University of Washington, Seattle, WA, United States
| | - Jeanette Schulz-Menger
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, ECRC Cardiology, Helios-Clinics Berlin-Buch, Clinic of Cardiology and Nephrology, DZHK Partnersite Berlin, Berlin, Germany
| | - W. Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
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Manohar A, Colvert GM, Ortuño JE, Chen Z, Yang J, Colvert BT, Bandettini WP, Chen MY, Ledesma-Carbayo MJ, McVeigh ER. Regional left ventricular endocardial strains estimated from low-dose 4DCT: Comparison with cardiac magnetic resonance feature tracking. Med Phys 2022; 49:5841-5854. [PMID: 35751864 PMCID: PMC9474637 DOI: 10.1002/mp.15818] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 05/31/2022] [Accepted: 06/10/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Estimates of regional left ventricular (LV) strains provide additional information to global function parameters such as ejection fraction (EF) and global longitudinal strain (GLS) and are more sensitive in detecting abnormal regional cardiac function. The accurate and reproducible assessment of regional cardiac function has implications in the management of various cardiac diseases such as heart failure, myocardial ischemia, and dyssynchrony. PURPOSE To develop a method that yields highly reproducible, high-resolution estimates of regional endocardial strains from 4DCT images. METHODS A method for estimating regional LV endocardial circumferential( ε c c ) $( {{\epsilon }_{cc}} )$ and longitudinal (ε l l ${\epsilon }_{ll}$ ) strains from 4DCT was developed. Point clouds representing the LV endocardial surface were extracted for each time frame of the cardiac cycle from 4DCT images. 3D deformation fields across the cardiac cycle were obtained by registering the end diastolic point cloud to each subsequent point cloud in time across the cardiac cycle using a 3D point-set registration technique. From these deformation fields,ε c c and ε l l ${\epsilon }_{cc}\ {\rm{and\ }}{\epsilon }_{ll}$ were estimated over the entire LV endocardial surface by fitting an affine transformation with maximum likelihood estimation. The 4DCT-derived strains were compared with strains estimated in the same subjects by cardiac magnetic resonance (CMR); twenty-four subjects had CMR scans followed by 4DCT scans acquired within a few hours. Regional LV circumferential and longitudinal strains were estimated from the CMR images using a commercially available feature tracking software (cvi42). Global circumferential strain (GCS) and global longitudinal strain (GLS) were calculated as the mean of the regional strains across the entire LV for both modalities. Pearson correlation coefficients and Bland-Altman analyses were used for comparisons. Intraclass correlation coefficients (ICC) were used to assess the inter- and intraobserver reproducibility of the 4DCT-derived strains. RESULTS The 4DCT-derived regional strains correlated well with the CMR-derived regional strains (ε c c ${\epsilon }_{cc}$ : r = 0.76, p < 0.001;ε l l ${\epsilon }_{ll}$ : r = 0.64, p < 0.001). A very strong correlation was found between 4DCT-derived GCS and 4DCT-derived EF (r = -0.96; p < 0.001). The 4DCT-derived strains were also highly reproducible, with very low inter- and intraobserver variability (intraclass correlation coefficients in the range of [0.92, 0.99]). CONCLUSIONS We have developed a novel method to estimate high-resolution regional LV endocardial circumferential and longitudinal strains from 4DCT images. Except for the definition of the mitral valve and LV outflow tract planes, the method is completely user independent, thus yielding highly reproducible estimates of endocardial strain. The 4DCT-derived strains correlated well with those estimated using a commercial CMR feature tracking software. The promising results reported in this study highlight the potential utility of 4DCT in the precise assessment of regional cardiac function for the management of cardiac disease.
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Affiliation(s)
- Ashish Manohar
- Department of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, California, USA
| | - Gabrielle M Colvert
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Juan E Ortuño
- Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine, Madrid, Spain
- Biomedical Image Technologies Laboratory, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
| | - Zhennong Chen
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - James Yang
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Brendan T Colvert
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Marcus Y Chen
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - María J Ledesma-Carbayo
- Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine, Madrid, Spain
- Biomedical Image Technologies Laboratory, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
| | - Elliot R McVeigh
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
- Department of Radiology, University of California San Diego, La Jolla, California, USA
- Department of Medicine, Cardiovascular Division, University of California San Diego, La Jolla, California, USA
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Patel AR, Kelle S, Fontana M, Jacob R, Stojanovska J, Collins J, Patel HN, Francone M, Han Y, Bandettini WP, Bucciarelli-Ducci C, Raman S, Weissman G. SCMR level II/independent practitioner training guidelines for cardiovascular magnetic resonance: integration of a virtual training environment. J Cardiovasc Magn Reson 2021; 23:139. [PMID: 34961555 PMCID: PMC8711197 DOI: 10.1186/s12968-021-00836-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 11/30/2021] [Indexed: 11/30/2022] Open
Affiliation(s)
- Amit R Patel
- Department of Medicine and Radiology, University of Chicago, Chicago, IL, USA.
| | - Sebastian Kelle
- Department of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany
| | - Marianna Fontana
- Division of Medicine, National Amyloidosis Centre, University College London, London, UK
| | - Ron Jacob
- The Heart and Vascular Institute, Lancaster General Health/Penn Medicine, Lancaster, PA, USA
| | | | - Jeremy Collins
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Hena N Patel
- Department of Medicine and Radiology, University of Chicago, Chicago, IL, USA
| | - Marco Francone
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Humanitas Research Hospital IRCCS, Rozzano, Milan, Italy
| | - Yuchi Han
- Cardiovascular Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - W Patricia Bandettini
- Division of Intramural Research, Cardiology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Chiara Bucciarelli-Ducci
- Royal Brompton and Harefield Hospitals, Guys' and St Thomas NHS Hospitals and School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Subha Raman
- Krannert Institute of Cardiology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Gaby Weissman
- Department of Cardiology Medstar Heart and Vascular Institute, Georgetown University, Washington, DC, USA
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Pamuk ON, Bandettini WP, Vargha J, Shanbhag SM, Hasni S. Clinical Images: Cardiovascular magnetic resonance to detect and monitor inflammatory myocarditis in systemic lupus erythematosus. ACR Open Rheumatol 2021; 4:134-135. [PMID: 34791837 PMCID: PMC8843766 DOI: 10.1002/acr2.11364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 09/08/2021] [Accepted: 09/16/2021] [Indexed: 11/12/2022] Open
Affiliation(s)
- Omer N Pamuk
- National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH
| | | | | | | | - Sarfaraz Hasni
- National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH, Bethesda, MD
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Campbell-Washburn AE, Mancini C, Conrey A, Edwards L, Shanbhag S, Wood J, Xue H, Kellman P, Bandettini WP, Thein SL. Evaluation of Hepatic Iron Overload Using a Contemporary 0.55 T MRI System. J Magn Reson Imaging 2021; 55:1855-1863. [PMID: 34668604 DOI: 10.1002/jmri.27950] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 09/19/2021] [Accepted: 09/23/2021] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND MRI T2* and R2* mapping have gained clinical acceptance for noninvasive assessment of iron overload. Lower field MRI may offer increased measurement dynamic range in patients with high iron concentration and may potentially increase MRI accessibility, but it is compromised by lower signal-to-noise ratio that reduces measurement precision. PURPOSE To characterize a high-performance 0.55 T MRI system for evaluating patients with liver iron overload. STUDY TYPE Prospective. POPULATION Forty patients with known or suspected iron overload (sickle cell anemia [n = 5], ß-thalassemia [n = 3], and hereditary spherocytosis [n = 2]) and a liver iron phantom. FIELD STRENGTH/SEQUENCE A breath-held multiecho gradient echo sequence at 0.55 T and 1.5 T. ASSESSMENT Patients were imaged with T2*/R2* mapping 0.55 T and 1.5 T within 24 hours, and 16 patients returned for follow-up exams within 6-16 months, resulting in 56 paired studies. Liver T2* and R2* measurements and standard deviations were compared between 0.55 T and 1.5 T and used to validate a predictive model between field strengths. The model was then used to classify iron overload at 0.55 T. STATISTICAL TESTS Linear regression and Bland-Altman analysis were used for comparisons, and measurement precision was assessed using the coefficient of variation. A P-value < 0.05 was considered statistically significant. RESULTS R2* was significantly lower at 0.55 T in our cohort (488 ± 449 s-1 at 1.5 T vs. 178 ± 155 s-1 at 0.55 T, n = 56 studies) and in the patients with severe iron overload (937 ± 369 s-1 at 1.5 T vs. 339 ± 127 s-1 at 0.55 T, n = 23 studies). The coefficient of variation indicated reduced precision at 0.55 T (3.5 ± 2.2% at 1.5 T vs 6.9 ± 3.9% at 0.55 T). The predictive model accurately predicted 1.5 T R2* from 0.55 T R2* (Bland Altman bias = -6.6 ± 20.5%). Using this model, iron overload at 0.55 T was classified as: severe R2* > 185 s-1 , moderate 81 s-1 < R2* < 185 s-1 , and mild 45 s-1 < R2* < 91 s-1 . DATA CONCLUSION We demonstrated that 0.55 T provides T2* and R2* maps that can be used for the assessment of liver iron overload in patients. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Adrienne E Campbell-Washburn
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA
| | - Christine Mancini
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA
| | - Anna Conrey
- Sickle Cell Branch, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA
| | - Lanelle Edwards
- Systems Biology Center, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA
| | - Sujata Shanbhag
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA
| | - John Wood
- Department of Cardiology, Children's Hospital Los Angeles, California, Los Angeles, USA
| | - Hui Xue
- Systems Biology Center, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA
| | - Peter Kellman
- Systems Biology Center, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA
| | - W Patricia Bandettini
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA
| | - Swee Lay Thein
- Sickle Cell Branch, Division of Intramural Research, National Heart, Lung and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, Maryland, USA
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Rajagopal JR, Farhadi F, Richards T, Nikpanah M, Sahbaee P, Shanbhag SM, Bandettini WP, Saboury B, Malayeri AA, Pritchard WF, Jones EC, Samei E, Chen MY. Evaluation of Coronary Plaques and Stents with Conventional and Photon-counting CT: Benefits of High-Resolution Photon-counting CT. Radiol Cardiothorac Imaging 2021; 3:e210102. [PMID: 34778782 PMCID: PMC8581588 DOI: 10.1148/ryct.2021210102] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 08/30/2021] [Accepted: 09/30/2021] [Indexed: 11/11/2022]
Abstract
PURPOSE To compare the performance of energy-integrating detector (EID) CT, photon-counting detector CT (PCCT), and high-resolution PCCT (HR-PCCT) for the visualization of coronary plaques and reduction of stent artifacts in a phantom model. MATERIALS AND METHODS An investigational scanner with EID and PCCT subsystems was used to image a coronary artery phantom containing cylindrical probes simulating different plaque compositions. The phantom was imaged with and without coronary stents using both subsystems. Images were reconstructed with a clinical cardiac kernel and an additional HR-PCCT kernel. Regions of interest were drawn around probes and evaluated for in-plane diameter and a qualitative comparison by expert readers. A linear mixed-effects model was used to compare the diameter results, and a Shrout-Fleiss intraclass correlation coefficient was used to assess consistency in the reader study. RESULTS Comparing in-plane diameter to the physical dimension for nonstented and stented phantoms, measurements of the HR-PCCT images were more accurate (nonstented: 4.4% ± 1.1 [standard deviation], stented: -9.4% ± 4.6) than EID (nonstented: 15.5% ± 4.0, stented: -19.5% ± 5.8) and PCCT (nonstented: 19.4% ± 2.5, stented: -18.3% ± 4.4). Our analysis of variance found diameter measurements to be different across image groups for both nonstented and stented cases (P < .001). HR-PCCT showed less change on average in percent stenosis due to the addition of a stent (-5.5%) than either EID (+90.5%) or PCCT (+313%). For both nonstented and stented phantoms, observers rated the HR-PCCT images as having higher plaque conspicuity and as being the image type that was least impacted by stent artifacts, with a high level of agreement (interclass correlation coefficient = 0.85). CONCLUSION Despite increased noise, HR-PCCT images were able to better visualize coronary plaques and reduce stent artifacts compared with EID or PCCT reconstructions.Keywords: CT-Spectral Imaging (Dual Energy), Phantom Studies, Cardiac, Physics, Technology Assessment© RSNA, 2021.
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Affiliation(s)
- Jayasai R Rajagopal
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Department of Radiology, Duke University Medical Center, Durham, NC (J.R.R., T.R., E.S.); Department of Radiology and Imaging Sciences, Clinical Center (F.F., M.N., B.S., A.A.M., E.C.J.), Cardiovascular Branch, National Heart, Lung, and Blood Institute (S.M.S., W.P.B., M.Y.C.), and Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center (W.F.P.), National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892; and Siemens Medical Solutions USA, Malvern, Pa (P.S.)
| | - Faraz Farhadi
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Department of Radiology, Duke University Medical Center, Durham, NC (J.R.R., T.R., E.S.); Department of Radiology and Imaging Sciences, Clinical Center (F.F., M.N., B.S., A.A.M., E.C.J.), Cardiovascular Branch, National Heart, Lung, and Blood Institute (S.M.S., W.P.B., M.Y.C.), and Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center (W.F.P.), National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892; and Siemens Medical Solutions USA, Malvern, Pa (P.S.)
| | - Taylor Richards
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Department of Radiology, Duke University Medical Center, Durham, NC (J.R.R., T.R., E.S.); Department of Radiology and Imaging Sciences, Clinical Center (F.F., M.N., B.S., A.A.M., E.C.J.), Cardiovascular Branch, National Heart, Lung, and Blood Institute (S.M.S., W.P.B., M.Y.C.), and Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center (W.F.P.), National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892; and Siemens Medical Solutions USA, Malvern, Pa (P.S.)
| | - Moozhan Nikpanah
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Department of Radiology, Duke University Medical Center, Durham, NC (J.R.R., T.R., E.S.); Department of Radiology and Imaging Sciences, Clinical Center (F.F., M.N., B.S., A.A.M., E.C.J.), Cardiovascular Branch, National Heart, Lung, and Blood Institute (S.M.S., W.P.B., M.Y.C.), and Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center (W.F.P.), National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892; and Siemens Medical Solutions USA, Malvern, Pa (P.S.)
| | - Pooyan Sahbaee
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Department of Radiology, Duke University Medical Center, Durham, NC (J.R.R., T.R., E.S.); Department of Radiology and Imaging Sciences, Clinical Center (F.F., M.N., B.S., A.A.M., E.C.J.), Cardiovascular Branch, National Heart, Lung, and Blood Institute (S.M.S., W.P.B., M.Y.C.), and Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center (W.F.P.), National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892; and Siemens Medical Solutions USA, Malvern, Pa (P.S.)
| | - Sujata M Shanbhag
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Department of Radiology, Duke University Medical Center, Durham, NC (J.R.R., T.R., E.S.); Department of Radiology and Imaging Sciences, Clinical Center (F.F., M.N., B.S., A.A.M., E.C.J.), Cardiovascular Branch, National Heart, Lung, and Blood Institute (S.M.S., W.P.B., M.Y.C.), and Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center (W.F.P.), National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892; and Siemens Medical Solutions USA, Malvern, Pa (P.S.)
| | - W Patricia Bandettini
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Department of Radiology, Duke University Medical Center, Durham, NC (J.R.R., T.R., E.S.); Department of Radiology and Imaging Sciences, Clinical Center (F.F., M.N., B.S., A.A.M., E.C.J.), Cardiovascular Branch, National Heart, Lung, and Blood Institute (S.M.S., W.P.B., M.Y.C.), and Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center (W.F.P.), National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892; and Siemens Medical Solutions USA, Malvern, Pa (P.S.)
| | - Babak Saboury
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Department of Radiology, Duke University Medical Center, Durham, NC (J.R.R., T.R., E.S.); Department of Radiology and Imaging Sciences, Clinical Center (F.F., M.N., B.S., A.A.M., E.C.J.), Cardiovascular Branch, National Heart, Lung, and Blood Institute (S.M.S., W.P.B., M.Y.C.), and Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center (W.F.P.), National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892; and Siemens Medical Solutions USA, Malvern, Pa (P.S.)
| | - Ashkan A Malayeri
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Department of Radiology, Duke University Medical Center, Durham, NC (J.R.R., T.R., E.S.); Department of Radiology and Imaging Sciences, Clinical Center (F.F., M.N., B.S., A.A.M., E.C.J.), Cardiovascular Branch, National Heart, Lung, and Blood Institute (S.M.S., W.P.B., M.Y.C.), and Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center (W.F.P.), National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892; and Siemens Medical Solutions USA, Malvern, Pa (P.S.)
| | - William F Pritchard
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Department of Radiology, Duke University Medical Center, Durham, NC (J.R.R., T.R., E.S.); Department of Radiology and Imaging Sciences, Clinical Center (F.F., M.N., B.S., A.A.M., E.C.J.), Cardiovascular Branch, National Heart, Lung, and Blood Institute (S.M.S., W.P.B., M.Y.C.), and Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center (W.F.P.), National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892; and Siemens Medical Solutions USA, Malvern, Pa (P.S.)
| | - Elizabeth C Jones
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Department of Radiology, Duke University Medical Center, Durham, NC (J.R.R., T.R., E.S.); Department of Radiology and Imaging Sciences, Clinical Center (F.F., M.N., B.S., A.A.M., E.C.J.), Cardiovascular Branch, National Heart, Lung, and Blood Institute (S.M.S., W.P.B., M.Y.C.), and Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center (W.F.P.), National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892; and Siemens Medical Solutions USA, Malvern, Pa (P.S.)
| | - Ehsan Samei
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Department of Radiology, Duke University Medical Center, Durham, NC (J.R.R., T.R., E.S.); Department of Radiology and Imaging Sciences, Clinical Center (F.F., M.N., B.S., A.A.M., E.C.J.), Cardiovascular Branch, National Heart, Lung, and Blood Institute (S.M.S., W.P.B., M.Y.C.), and Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center (W.F.P.), National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892; and Siemens Medical Solutions USA, Malvern, Pa (P.S.)
| | - Marcus Y Chen
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Department of Radiology, Duke University Medical Center, Durham, NC (J.R.R., T.R., E.S.); Department of Radiology and Imaging Sciences, Clinical Center (F.F., M.N., B.S., A.A.M., E.C.J.), Cardiovascular Branch, National Heart, Lung, and Blood Institute (S.M.S., W.P.B., M.Y.C.), and Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center (W.F.P.), National Institutes of Health, 10 Center Dr, Building 10, Room B1D417, Bethesda, MD 20892; and Siemens Medical Solutions USA, Malvern, Pa (P.S.)
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Antiochos P, Ge Y, Heydari B, Steel K, Bingham S, Abdullah SM, Mikolich JR, Arai AE, Bandettini WP, Patel AR, Farzaneh-Far A, Heitner JF, Shenoy C, Leung SW, Gonzalez JA, Shah DJ, Raman SV, Ferrari VA, Schulz-Menger J, Stuber M, Simonetti OP, Kwong RY. Prognostic Value of Stress Cardiac Magnetic Resonance in Patients With Known Coronary Artery Disease. JACC Cardiovasc Imaging 2021; 15:60-71. [PMID: 34419400 DOI: 10.1016/j.jcmg.2021.06.025] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 06/02/2021] [Accepted: 06/24/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVES This study sought to determine whether stress cardiac magnetic resonance (CMR) provides clinically relevant risk reclassification in patients with known coronary artery disease (CAD) in a multicenter setting in the United States. BACKGROUND Despite improvements in medical therapy and coronary revascularization, patients with previous CAD account for a disproportionately large portion of CV events and pose a challenge for noninvasive stress testing. METHODS From the Stress Perfusion Imaging in the United States (SPINS) registry, we identified consecutive patients with documented CAD who were referred to stress CMR for evaluation of myocardial ischemia. The primary outcome was nonfatal myocardial infarction (MI) or cardiovascular (CV) death. Major adverse CV events (MACE) included MI/CV death, hospitalization for heart failure or unstable angina, and late unplanned coronary artery bypass graft. The prognostic association and net reclassification improvement by ischemia for MI/CV death were determined. RESULTS Out of 755 patients (age 64 ± 11 years, 64% male), we observed 97 MI/CV deaths and 210 MACE over a median follow-up of 5.3 years. Presence of ischemia demonstrated a significant association with MI/CV death (HR: 2.30; 95% CI: 1.54-3.44; P < 0.001) and MACE (HR: 2.24 ([95% CI: 1.69-2.95; P < 0.001). In a multivariate model adjusted for CV risk factors, ischemia maintained strong association with MI/CV death (HR: 1.84; 95% CI: 1.17-2.88; P = 0.008) and MACE (HR: 1.77; 95% CI: 1.31-2.40; P < 0.001) and reclassified 95% of patients at intermediate pretest risk (62% to low risk, 33% to high risk) with corresponding changes in the observed event rates of 1.4% and 5.3% per year for low and high post-test risk, respectively. CONCLUSIONS In a multicenter cohort of patients with known CAD, CMR-assessed ischemia was strongly associated with MI/CV death and reclassified patient risk beyond CV risk factors, especially in those considered to be at intermediate risk. Absence of ischemia was associated with a <2% annual rate of MI/CV death. (Stress CMR Perfusion Imaging in the United States [SPINS] Study; NCT03192891).
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Affiliation(s)
- Panagiotis Antiochos
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Yin Ge
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Bobak Heydari
- Stephenson Cardiac Imaging Center, Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada
| | - Kevin Steel
- Cardiology Division, San Antonio Military Medical Center, San Antonio, Texas, USA
| | | | - Shuaib M Abdullah
- Veteran Affairs, North Texas Healthcare System, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - J Ronald Mikolich
- Department of Cardiovascular Medicine, Sharon Regional Health System, Sharon, Pennsylvania, USA
| | - Andrew E Arai
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Amit R Patel
- Cardiology Division, Department of Medicine, University of Chicago, Chicago, Illinois, USA
| | | | - John F Heitner
- Division of Cardiology, New York Presbyterian-Brooklyn Methodist Hospital, Brooklyn, New York, USA
| | - Chetan Shenoy
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Steve W Leung
- Gill Heart and Vascular Institute, Division of Cardiovascular Medicine, University of Kentucky, Lexington, Kentucky, USA
| | - Jorge A Gonzalez
- Division of Cardiology and Radiology, Scripps Clinic, La Jolla, California, USA
| | - Dipan J Shah
- Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
| | - Subha V Raman
- Division of Cardiovascular Medicine, Department of Internal Medicine, Ohio State University, Columbus, Ohio, USA
| | - Victor A Ferrari
- Cardiovascular Division, Perelman School of Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jeanette Schulz-Menger
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Berlin, Germany; Helios Clinics, Berlin, Germany
| | - Matthias Stuber
- Department of Radiology, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Orlando P Simonetti
- Division of Cardiovascular Medicine, Department of Internal Medicine, Ohio State University, Columbus, Ohio, USA
| | - Raymond Y Kwong
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
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18
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Ge Y, Steel K, Antiochos P, Bingham S, Abdullah S, Mikolich JR, Arai AE, Bandettini WP, Shanbhag SM, Patel AR, Farzaneh-Far A, Heitner JF, Shenoy C, Leung SW, Gonzalez JA, Shah DJ, Raman SV, Nawaz H, Ferrari VA, Schulz-Menger J, Stuber M, Simonetti OP, Kwong RY. Stress CMR in patients with obesity: insights from the Stress CMR Perfusion Imaging in the United States (SPINS) registry. Eur Heart J Cardiovasc Imaging 2021; 22:518-527. [PMID: 33166994 DOI: 10.1093/ehjci/jeaa281] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 09/29/2020] [Indexed: 12/11/2022] Open
Abstract
AIMS Non-invasive assessment and risk stratification of coronary artery disease in patients with large body habitus is challenging. We aim to examine whether body mass index (BMI) modifies the prognostic value and diagnostic utility of stress cardiac magnetic resonance imaging (CMR) in a multicentre registry. METHODS AND RESULTS The SPINS Registry enrolled consecutive intermediate-risk patients who presented with a clinical indication for stress CMR in the USA between 2008 and 2013. Baseline demographic data including BMI, CMR indices, and ratings of study quality were collected. Primary outcome was defined by a composite of cardiovascular death and non-fatal myocardial infarction. Of the 2345 patients with available BMI included in the SPINS cohort, 1177 (50%) met criteria for obesity (BMI ≥ 30) with 531 (23%) at or above Class 2 obesity (BMI ≥ 35). In all BMI categories, >95% of studies were of diagnostic quality for cine, perfusion, and late gadolinium enhancement (LGE) sequences. At a median follow-up of 5.4 years, those without ischaemia and LGE experienced a low annual rate of hard events (<1%), across all BMI strata. In patients with obesity, both ischaemia [hazard ratio (HR): 2.14; 95% confidence interval (CI): 1.30-3.50; P = 0.003] and LGE (HR: 3.09; 95% CI: 1.83-5.22; P < 0.001) maintained strong adjusted association with the primary outcome in a multivariable Cox regression model. Downstream referral rates to coronary angiography, revascularization, and cost of care spent on ischaemia testing did not significantly differ within the BMI categories. CONCLUSION In this large multicentre registry, elevated BMI did not negatively impact the diagnostic quality and the effectiveness of risk stratification of patients referred for stress CMR.
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Affiliation(s)
- Yin Ge
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Kevin Steel
- Cardiology Division, San Antonio Military Medical Center, San Antonio, TX 78234, USA
| | - Panagiotis Antiochos
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | | | - Shuaib Abdullah
- Veteran Administration North Texas Healthcare System, UT Southwestern Medical Center, Dallas, TX 75216, USA
| | - J Ronald Mikolich
- Department of Cardiovascular Medicine, Sharon Regional Health System, Sharon, PA 16148, USA
| | - Andrew E Arai
- National Heart, Lung and Blood Institute, National Institutes of Health (NHLBI/NIH), Bethesda, MD 20814, USA
| | - W Patricia Bandettini
- National Heart, Lung and Blood Institute, National Institutes of Health (NHLBI/NIH), Bethesda, MD 20814, USA
| | - Sujata M Shanbhag
- National Heart, Lung and Blood Institute, National Institutes of Health (NHLBI/NIH), Bethesda, MD 20814, USA
| | - Amit R Patel
- Cardiology Division, Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Afshin Farzaneh-Far
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL 60612, USA
| | - John F Heitner
- Division of Cardiology, New York Presbyterian-Brooklyn Methodist Hospital, Brooklyn, NY 11215, USA
| | - Chetan Shenoy
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Steve W Leung
- Division of Cardiovascular Medicine, Gill Heart and Vascular Institute, University of Kentucky, Lexington, KY 40536, USA
| | - Jorge A Gonzalez
- Division of Cardiology & Radiology, Scripps Clinic, La Jolla, CA 92037, USA
| | - Dipan J Shah
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX 77030, USA
| | - Subha V Raman
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Haseeb Nawaz
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Victor A Ferrari
- Cardiovascular Division, Perelman School of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jeanette Schulz-Menger
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Berlin, and Helios Clinics, Berlin 13125, Germany
| | - Matthias Stuber
- Department of Radiology, University Hospital (CHUV), University of Lausanne (UNIL), Lausanne 1011, Switzerland
| | - Orlando P Simonetti
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Raymond Y Kwong
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA
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19
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Ryan E, Nguyen ML, Lopez G, Mitchell K, Lowery M, Singh S, Cholewa A, Bandettini WP, Moore C, Sidransky E. Gaucher Disease and Heart Failure of Unknown Origin. Am J Med 2021; 134:745-748. [PMID: 33359772 DOI: 10.1016/j.amjmed.2020.11.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 11/13/2020] [Accepted: 11/18/2020] [Indexed: 11/28/2022]
Affiliation(s)
- Emory Ryan
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Md
| | - My-Le Nguyen
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md
| | - Grisel Lopez
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Md
| | - Kathleen Mitchell
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md
| | - Margaret Lowery
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md
| | - Suma Singh
- National Institutes of Health Clinical Center, Bethesda, Md
| | - Anna Cholewa
- National Institutes of Health Clinical Center, Bethesda, Md
| | - W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Md
| | | | - Ellen Sidransky
- Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Md.
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20
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Liu Y, Xia P, Chen J, Bandettini WP, Kirschner LS, Stratakis CA, Cheng Z. PRKAR1A deficiency impedes hypertrophy and reduces heart size. Physiol Rep 2021; 8:e14405. [PMID: 32212257 PMCID: PMC7093752 DOI: 10.14814/phy2.14405] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 02/29/2020] [Indexed: 12/18/2022] Open
Abstract
Protein kinase A (PKA) activity is pivotal for proper functioning of the human heart, and its dysregulation has been implicated in a variety of cardiac pathologies. PKA regulatory subunit 1α (R1α, encoded by the PRKAR1A gene) is highly expressed in the heart, and controls PKA kinase activity by sequestering PKA catalytic subunits. Patients with PRKAR1A mutations are often diagnosed with Carney complex (CNC) in early adulthood, and may die later in life from cardiac complications such as heart failure. However, it remains unknown whether PRKAR1A deficiency interferes with normal heart development. Here, we showed that left ventricular mass was reduced in young CNC patients with PRKAR1A mutations or deletions. Cardiac-specific heterozygous ablation of PRKAR1A in mice increased cardiac PKA activity, and reduced heart weight and cardiomyocyte size without altering contractile function at 3 months of age. Silencing of PRKAR1A, or stimulation with the PKA activator forskolin completely abolished α1-adrenergic receptor-mediated cardiomyocyte hypertrophy. Mechanistically, depletion of PRKAR1A provoked PKA-dependent inactivating phosphorylation of Drp1 at S637, leading to impaired mitochondrial fission. Pharmacologic inhibition of Drp1 with Mdivi 1 diminished hypertrophic growth of cardiomyocytes. In conclusion, PRKAR1A deficiency suppresses cardiomyocyte hypertrophy and impedes heart growth, likely through inhibiting Drp1-mediated mitochondrial fission. These findings provide a potential novel mechanism for the cardiac manifestations associated with CNC.
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Affiliation(s)
- Yuening Liu
- Department of Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
| | - Peng Xia
- Department of Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
| | - Jingrui Chen
- Department of Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
| | - W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lawrence S Kirschner
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA
| | - Constantine A Stratakis
- Section on Endocrinology and Genetics, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, NIH-Clinical Research Center, Bethesda, MD, USA
| | - Zhaokang Cheng
- Department of Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
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21
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Antiochos P, Ge Y, Steel K, Chen YY, Bingham S, Abdullah S, Mikolich JR, Arai AE, Bandettini WP, Patel AR, Farzaneh-Far A, Heitner JF, Shenoy C, Leung SW, Gonzalez JA, Shah DJ, Raman SV, Ferrari VA, Schulz-Menger J, Stuber M, Simonetti OP, Murthy VL, Kwong RY. Evaluation of Stress Cardiac Magnetic Resonance Imaging in Risk Reclassification of Patients With Suspected Coronary Artery Disease. JAMA Cardiol 2020; 5:1401-1409. [PMID: 32745166 DOI: 10.1001/jamacardio.2020.2834] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Importance The role of stress cardiac magnetic resonance (CMR) imaging in clinical decision-making by reclassification of risk across American College of Cardiology/American Heart Association guideline-recommended categories has not been established. Objective To examine the utility of stress CMR imaging for risk reclassification in patients without a history of coronary artery disease (CAD) who presented with suspected myocardial ischemia. Design, Setting, and Participants A retrospective, multicenter cohort study with median follow-up of 5.4 years (interquartile range, 4.6-6.9) was conducted at 13 centers across 11 US states. Participants included 1698 consecutive patients aged 35 to 85 years with 2 or more coronary risk factors but no history of CAD who presented with suspected myocardial ischemia to undergo stress CMR imaging. The study was conducted from February 18, 2019, to March 1, 2020. Main Outcomes and Measures Cardiovascular (CV) death and nonfatal myocardial infarction (MI). Major adverse CV events (MACE) including CV death, nonfatal MI, hospitalization for heart failure or unstable angina, and late, unplanned coronary artery bypass graft surgery. Results Of the 1698 patients, 873 were men (51.4%); mean (SD) age was 62 (11) years, accounting for 67 CV death/nonfatal MIs and 190 MACE. Clinical models of pretest risk were constructed and patients were categorized using guideline-based categories of low (<1% per year), intermediate (1%-3% per year), and high (>3% year) risk. Stress CMR imaging provided risk reclassification across all baseline models. For CV death/nonfatal MI, adding stress CMR-assessed left ventricular ejection fraction, presence of ischemia, and late gadolinium enhancement to a model incorporating the validated CAD Consortium score, hypertension, smoking, and diabetes provided significant net reclassification improvement of 0.266 (95% CI, 0.091-0.441) and C statistic improvement of 0.086 (95% CI, 0.022-0.149). Stress CMR imaging reclassified 60.3% of patients in the intermediate pretest risk category (52.4% reclassified as low risk and 7.9% as high risk) with corresponding changes in the observed event rates of 0.6% per year for low posttest risk and 4.9% per year for high posttest risk. For MACE, stress CMR imaging further provided significant net reclassification improvement (0.361; 95% CI, 0.255-0.468) and C statistic improvement (0.092; 95% CI, 0.054-0.131), and reclassified 59.9% of patients in the intermediate pretest risk group (48.7% reclassified as low risk and 11.2% as high risk). Conclusions and Relevance In this multicenter cohort of patients with no history of CAD presenting with suspected myocardial ischemia, stress CMR imaging reclassified patient risk across guideline-based risk categories, beyond clinical risk factors. The findings of this study support the value of stress CMR imaging for clinical decision-making, especially in patients at intermediate risk for CV death and nonfatal MI.
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Affiliation(s)
- Panagiotis Antiochos
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Cardiology Division, University Hospital of Lausanne, Lausanne, Switzerland
| | - Yin Ge
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Kevin Steel
- Cardiology Division, San Antonio Military Medical Center, San Antonio, Texas
| | - Yi-Yun Chen
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Shuaib Abdullah
- Veteran Administration North Texas Healthcare System, UT Southwestern Medical Center, Dallas
| | - J Ronald Mikolich
- Department of Cardiovascular Medicine, Sharon Regional Health System, Sharon, Pennsylvania
| | - Andrew E Arai
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Amit R Patel
- Division of Cardiology, Department of Medicine, University of Chicago, Chicago, Illinois
| | | | - John F Heitner
- Division of Cardiology, New York Presbyterian-Brooklyn Methodist Hospital, Brooklyn
| | - Chetan Shenoy
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis
| | - Steve W Leung
- Gill Heart and Vascular Institute, Division of Cardiovascular Medicine, University of Kentucky, Lexington
| | - Jorge A Gonzalez
- Division of Cardiology & Radiology, Scripps Clinic, La Jolla, California
| | - Dipan J Shah
- Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas
| | - Subha V Raman
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus
| | - Victor A Ferrari
- Perelman School of Medicine, Division of Cardiovascular, Hospital of the University of Pennsylvania, Philadelphia
| | - Jeanette Schulz-Menger
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Berlin, and Helios Clinics, Berlin, Germany
| | - Matthias Stuber
- Department of Radiology, University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Orlando P Simonetti
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus
| | - Venkatesh L Murthy
- Division of Cardiovascular Medicine, Department of Internal Medicine and Frankel Cardiovascular Center, University of Michigan, Ann Arbor
| | - Raymond Y Kwong
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
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22
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Bui V, Hsu LY, Shanbhag SM, Tran L, Bandettini WP, Chang LC, Chen MY. Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous dataset. Comput Biol Med 2020; 125:104019. [PMID: 33038614 PMCID: PMC7655721 DOI: 10.1016/j.compbiomed.2020.104019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 09/22/2020] [Accepted: 09/23/2020] [Indexed: 11/21/2022]
Abstract
Multi-atlas based segmentation is an effective technique that transforms a representative set of atlas images and labels into a target image for structural segmentation. However, a significant limitation of this approach relates to the fact that the atlas and the target images need to be similar in volume orientation, coverage, or acquisition protocols in order to prevent image misregistration and avoid segmentation fault. In this study, we aim to evaluate the impact of using a heterogeneous Computed Tomography Angiography (CTA) dataset on the performance of a multi-atlas cardiac structure segmentation framework. We propose a generalized technique based upon using the Simple Linear Iterative Clustering (SLIC) supervoxel method to detect a bounding box region enclosing the heart before subsequent cardiac structure segmentation. This technique facilitates our framework to process CTA datasets acquired from distinct imaging protocols and to improve its segmentation accuracy and speed. In a four-way cross comparison based on 60 CTA studies from our institution and 60 CTA datasets from the Multi-Modality Whole Heart Segmentation MICCAI challenge, we show that the proposed framework performs well in segmenting seven different cardiac structures based upon interchangeable atlas and target datasets acquired from different imaging settings. For the overall results, our automated segmentation framework attains a median Dice, mean distance, and Hausdorff distance of 0.88, 1.5 mm, and 9.69 mm over the entire datasets. The average processing time was 1.55 min for both datasets. Furthermore, this study shows that it is feasible to exploit heterogenous datasets from different imaging protocols and institutions for accurate multi-atlas cardiac structure segmentation.
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Affiliation(s)
- Vy Bui
- National Heart, Lung, And Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA; Department of Electrical Engineering and Computer Science, Catholic University of America, Washington, DC, 20064, USA
| | - Li-Yueh Hsu
- National Heart, Lung, And Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA; Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, 20892, USA.
| | - Sujata M Shanbhag
- National Heart, Lung, And Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Loc Tran
- Department of Electrical Engineering and Computer Science, Catholic University of America, Washington, DC, 20064, USA
| | - W Patricia Bandettini
- National Heart, Lung, And Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Lin-Ching Chang
- Department of Electrical Engineering and Computer Science, Catholic University of America, Washington, DC, 20064, USA
| | - Marcus Y Chen
- National Heart, Lung, And Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
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23
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Ge Y, Antiochos P, Steel K, Bingham S, Abdullah S, Chen YY, Mikolich JR, Arai AE, Bandettini WP, Shanbhag SM, Patel AR, Farzaneh-Far A, Heitner JF, Shenoy C, Leung SW, Gonzalez JA, Shah DJ, Raman SV, Ferrari VA, Schulz-Menger J, Stuber M, Simonetti OP, Kwong RY. Prognostic Value of Stress CMR Perfusion Imaging in Patients With Reduced Left Ventricular Function. JACC Cardiovasc Imaging 2020; 13:2132-2145. [PMID: 32771575 PMCID: PMC10823343 DOI: 10.1016/j.jcmg.2020.05.034] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 05/18/2020] [Indexed: 01/29/2023]
Abstract
OBJECTIVES The aim of this study was to investigate the prognostic value of stress cardiac magnetic resonance imaging (CMR) in patients with reduced left ventricular (LV) systolic function. BACKGROUND Patients with ischemic cardiomyopathy are at risk from both myocardial ischemia and heart failure. Invasive testing is often used as the first-line investigation, and there is limited evidence as to whether stress testing can effectively provide risk stratification. METHODS In this substudy of a multicenter registry from 13 U.S. centers, patients with reduced LV ejection fraction (<50%), referred for stress CMR for suspected myocardial ischemia, were included. The primary outcome was cardiovascular death or nonfatal myocardial infarction. The secondary outcome was a composite of cardiovascular death, nonfatal myocardial infarction, hospitalization for unstable angina or congestive heart failure, and unplanned late coronary artery bypass graft surgery. RESULTS Among 582 patients (mean age 62 ± 12 years, 34% women), 40% had a history of congestive heart failure, and the median LV ejection fraction was 39% (interquartile range: 28% to 45%). At median follow-up of 5.0 years, 97 patients had experienced the primary outcome, and 182 patients had experienced the secondary outcome. Patients with no CMR evidence of ischemia or late gadolinium enhancement (LGE) experienced an annual primary outcome event rate of 1.1%. The presence of ischemia, LGE, or both was associated with higher event rates. In a multivariate model adjusted for clinical covariates, ischemia and LGE were independent predictors of the primary (hazard ratio [HR]: 2.63; 95% confidence interval [CI]: 1.68 to 4.14; p < 0.001; and HR: 1.86; 95% CI: 1.05 to 3.29; p = 0.03) and secondary (HR: 2.14; 95% CI: 1.55 to 2.95; p < 0.001; and HR 1.70; 95% CI: 1.16 to 2.49; p = 0.007) outcomes. The addition of ischemia and LGE led to improved model discrimination for the primary outcome (change in C statistic from 0.715 to 0.765; p = 0.02). The presence and extent of ischemia were associated with higher rates of use of downstream coronary angiography, revascularization, and cost of care spent on ischemia testing. CONCLUSIONS Stress CMR was effective in risk-stratifying patients with reduced LV ejection fractions. (Stress CMR Perfusion Imaging in the United States [SPINS] Study; NCT03192891).
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Affiliation(s)
- Yin Ge
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Panagiotis Antiochos
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Kevin Steel
- Cardiology Division, San Antonio Military Medical Center, San Antonio, Texas
| | | | - Shuaib Abdullah
- Veteran Administration North Texas Healthcare System, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Yi-Yun Chen
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - J Ronald Mikolich
- Department of Cardiovascular Medicine, Sharon Regional Health System, Sharon, Pennsylvania
| | - Andrew E Arai
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Sujata M Shanbhag
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Amit R Patel
- Cardiology Division, Department of Medicine, University of Chicago, Chicago, Illinois
| | - Afshin Farzaneh-Far
- Division of Cardiology, University of Illinois at Chicago, Chicago, Illinois
| | - John F Heitner
- Division of Cardiology, New York Presbyterian-Brooklyn Methodist Hospital, Brooklyn, New York
| | - Chetan Shenoy
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Steve W Leung
- Gill Heart and Vascular Institute, Division of Cardiovascular Medicine, University of Kentucky, Lexington, Kentucky
| | - Jorge A Gonzalez
- Division of Cardiology and Radiology, Scripps Clinic, La Jolla, California
| | - Dipan J Shah
- Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas
| | - Subha V Raman
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, Ohio
| | - Victor A Ferrari
- Cardiovascular Division, Perelman School of Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jeanette Schulz-Menger
- Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, Berlin, and Helios Clinics, Berlin, Germany
| | - Matthias Stuber
- Department of Radiology, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Orlando P Simonetti
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, Ohio
| | - Raymond Y Kwong
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division of Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.
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24
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Arai AE, Schulz-Menger J, Berman D, Mahrholdt H, Han Y, Bandettini WP, Gutberlet M, Abraham A, Woodard PK, Selvanayagam JB, McCann GP, Hamilton-Craig C, Schoepf UJ, San Tan R, Kramer CM, Friedrich MG, Haverstock D, Liu Z, Brueggenwerth G, Bacher-Stier C, Santiuste M, Pennell DJ, Pennell D, Schulz-Menger J, Mahrholdt H, Gutberlet M, Kramer U, von der Recke G, Nassenstein K, Tillmanns C, Taupitz M, Pache G, Mohrs O, Lotz J, Ko SM, Choo KS, Sung YM, Kang JW, Muzzarelli S, Valeti U, McCann G, Binukrishnam S, Croisille P, Jacquier A, Cowan B, Arai A, Berman D, Shah D, Bandettini WP, Han Y, Woodard P, Avery R, Schoepf J, Carr J, Kramer C, Flamm S, Harsinghani M, Lerakis S, Kim R, Raman S, Marcotte F, Islam A, Friedrich M, Abraham A, Selvanayagam J, Hamilton-Craig C, Chong WK, San Lynette Teo L, San Tan R. Gadobutrol-Enhanced Cardiac Magnetic Resonance Imaging for Detection of Coronary Artery Disease. J Am Coll Cardiol 2020; 76:1536-1547. [DOI: 10.1016/j.jacc.2020.07.060] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 07/20/2020] [Accepted: 07/29/2020] [Indexed: 11/26/2022]
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25
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Patel P, Siegenthaler M, Bandettini WP, Arai AE, Fujikura K. Left Ventricular Pseudoaneurysm in a Patient With an Apical Aneurysm. JACC Case Rep 2020; 3:91-93. [PMID: 34317476 PMCID: PMC8305086 DOI: 10.1016/j.jaccas.2020.05.088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 05/13/2020] [Indexed: 11/30/2022]
Abstract
Left ventricular pseudoaneurysm is a potentially life-threatening complication of acute myocardial infarction. Timely diagnosis is crucial to improve the patient's prognosis. We describe a multimodality diagnostic approach with emphasis on cardiac magnetic resonance imaging for a left ventricular pseudoaneurysm found surreptitiously in 72-year-old man 2 weeks following an acute myocardial infarction. (Level of Difficulty: Beginner.).
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Affiliation(s)
- Pratik Patel
- Advanced Cardiovascular Imaging Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
| | | | - W Patricia Bandettini
- National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
| | - Andrew E Arai
- Advanced Cardiovascular Imaging Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
| | - Kana Fujikura
- Advanced Cardiovascular Imaging Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
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Antiochos P, Ge Y, Steel K, Bingham S, Abdullah S, Mikolich JR, Arai AE, Bandettini WP, Patel AR, Farzaneh-Far A, Heitner JF, Shenoy C, Leung SW, Gonzalez JA, Shah DJ, Raman SV, Ferrari VA, Schulz-Menger J, Stuber M, Simonetti OP, Kwong RY. Imaging of Clinically Unrecognized Myocardial Fibrosis in Patients With Suspected Coronary Artery Disease. J Am Coll Cardiol 2020; 76:945-957. [DOI: 10.1016/j.jacc.2020.06.063] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 06/25/2020] [Indexed: 11/24/2022]
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Thimmapuram R, Bandettini WP, Shanbhag SM, Yu JH, O'Brien KJ, Gahl WA, Introne WJ, Chen MY. Aortic distensibility in alkaptonuria. Mol Genet Metab 2020; 130:289-296. [PMID: 32466960 DOI: 10.1016/j.ymgme.2020.05.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 05/11/2020] [Accepted: 05/13/2020] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Alkaptonuria (AKU) is a rare inherited disorder of tyrosine metabolism resulting in an accumulation of homogentisic acid oxidation products in the joints and cardiovascular system. Aortic distensibility may be a non-invasive indicator of cardiovascular complications. Descending thoracic aortic distensibility in alkaptonuria has not been studied. METHODS Patients diagnosed with alkaptonuria underwent Magnetic Resonance Imaging (MRI) and gated non-contrast and contrast-enhanced cardiovascular computed tomography. Using MRI cine images, aortic distensibility of the descending thoracic aorta was determined. RESULTS Seventy-six patients with alkaptonuria were imaged. When compared to literature normal values, aortic distensibility in AKU was impaired (5.2 vs 6.2 × 10-3, p < .001). Aortic distensibility was inversely related to age (r = -0.6, p = .0001). Hypertensive patients with alkaptonuria had impaired distensibility compared to normotensive patients with alkaptonuria (4.6 vs 5.6 × 10-3, p = .03), and hyperlipidemic patients with alkaptonuria had impaired distensibility compared to non-hyperlipidemic patients with alkaptonuria (4.1 vs 6.0 × 10-3, p = .001). Male hypertensive patients with alkaptonuria had greater distensibility than their female counterparts (5.3 vs 2.9 × 10-3, p = .02). Similarly, male hyperlipidemic patients with alkaptonuria had greater distensibility than their female counterparts (4.8 vs 2.5 × 10-3, p < .01). Of patients with alkaptonuria, those with a coronary artery calcium (CAC) score greater than 100 had more impaired distensibility than those with a CAC score less than 100 (3.5 vs 5.1 × 10-3, p = .01) and those with aortic calcium score greater than 100 had impaired distensibility compared to those with an aortic calcium score less than 100 (3.2 vs 4.9 × 10-3, p = .02). Univariate analysis revealed age, aortic calcification, and hyperlipidemia to be significant factors of distensibility, and multiple regression analysis showed age as the only significant risk factor of distensibility. CONCLUSIONS Patients with alkaptonuria have impaired aortic distensibility, which is likely an early marker for reduced cardiovascular health. Variables such as age, hypertension, hyperlipidemia, and aortic and coronary calcification were associated with impaired distensibility.
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Affiliation(s)
- Rashmi Thimmapuram
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - Sujata M Shanbhag
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - Jeannie H Yu
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States of America; Veterans Affairs Medical Center, Long Beach, CA, United States of America
| | - Kevin J O'Brien
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - William A Gahl
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - Wendy J Introne
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - Marcus Y Chen
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States of America.
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Kwong RY, Ge Y, Steel K, Bingham S, Abdullah S, Fujikura K, Wang W, Pandya A, Chen YY, Mikolich JR, Boland S, Arai AE, Bandettini WP, Shanbhag SM, Patel AR, Narang A, Farzaneh-Far A, Romer B, Heitner JF, Ho JY, Singh J, Shenoy C, Hughes A, Leung SW, Marji M, Gonzalez JA, Mehta S, Shah DJ, Debs D, Raman SV, Guha A, Ferrari VA, Schulz-Menger J, Hachamovitch R, Stuber M, Simonetti OP. Cardiac Magnetic Resonance Stress Perfusion Imaging for Evaluation of Patients With Chest Pain. J Am Coll Cardiol 2020; 74:1741-1755. [PMID: 31582133 PMCID: PMC8109181 DOI: 10.1016/j.jacc.2019.07.074] [Citation(s) in RCA: 156] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Revised: 07/08/2019] [Accepted: 07/11/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND Stress cardiac magnetic resonance imaging (CMR) has demonstrated excellent diagnostic and prognostic value in single-center studies. OBJECTIVES This study sought to investigate the prognostic value of stress CMR and downstream costs from subsequent cardiac testing in a retrospective multicenter study in the United States. METHODS In this retrospective study, consecutive patients from 13 centers across 11 states who presented with a chest pain syndrome and were referred for stress CMR were followed for a target period of 4 years. The authors associated CMR findings with a primary outcome of cardiovascular death or nonfatal myocardial infarction using competing risk-adjusted regression models and downstream costs of ischemia testing using published Medicare national payment rates. RESULTS In this study, 2,349 patients (63 ± 11 years of age, 47% female) were followed for a median of 5.4 years. Patients with no ischemia or late gadolinium enhancement (LGE) by CMR, observed in 1,583 patients (67%), experienced low annualized rates of primary outcome (<1%) and coronary revascularization (1% to 3%), across all years of study follow-up. In contrast, patients with ischemia+/LGE+ experienced a >4-fold higher annual primary outcome rate and a >10-fold higher rate of coronary revascularization during the first year after CMR. Patients with ischemia and LGE both negative had low average annual cost spent on ischemia testing across all years of follow-up, and this pattern was similar across the 4 practice environments of the participating centers. CONCLUSIONS In a multicenter U.S. cohort with stable chest pain syndromes, stress CMR performed at experienced centers offers effective cardiac prognostication. Patients without CMR ischemia or LGE experienced a low incidence of cardiac events, little need for coronary revascularization, and low spending on subsequent ischemia testing. (Stress CMR Perfusion Imaging in the United States [SPINS]: A Society for Cardiovascular Resonance Registry Study; NCT03192891)
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Affiliation(s)
- Raymond Y Kwong
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.
| | - Yin Ge
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Kevin Steel
- Cardiology Division, San Antonio Military Medical Center, San Antonio, Texas
| | | | - Shuaib Abdullah
- Veterans Administration North Texas Healthcare System, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Kana Fujikura
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Wei Wang
- Division of Sleep Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Ankur Pandya
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Yi-Yun Chen
- Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine and Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - J Ronald Mikolich
- Department of Cardiovascular Medicine, Sharon Regional Health System, Sharon, Pennsylvania
| | - Sebastian Boland
- Department of Cardiovascular Medicine, Sharon Regional Health System, Sharon, Pennsylvania
| | - Andrew E Arai
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Sujata M Shanbhag
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Amit R Patel
- Cardiology Division, Department of Medicine, University of Chicago, Chicago, Illinois
| | - Akhil Narang
- Cardiology Division, Department of Medicine, University of Chicago, Chicago, Illinois
| | - Afshin Farzaneh-Far
- Division of Cardiology, University of Illinois at Chicago, Chicago, Illinois
| | - Benjamin Romer
- Division of Cardiology, University of Illinois at Chicago, Chicago, Illinois
| | - John F Heitner
- Division of Cardiology, New York Presbyterian-Brooklyn Methodist Hospital, Brooklyn, New York
| | - Jean Y Ho
- Division of Cardiology, New York Presbyterian-Brooklyn Methodist Hospital, Brooklyn, New York
| | - Jaspal Singh
- Division of Cardiology, New York Presbyterian-Brooklyn Methodist Hospital, Brooklyn, New York
| | - Chetan Shenoy
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Andrew Hughes
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Steve W Leung
- Gill Heart and Vascular Institute, Division of Cardiovascular Medicine, University of Kentucky, Lexington, Kentucky
| | - Meera Marji
- Gill Heart and Vascular Institute, Division of Cardiovascular Medicine, University of Kentucky, Lexington, Kentucky
| | - Jorge A Gonzalez
- Division of Cardiology and Radiology, Scripps Clinic, La Jolla, California
| | - Sandeep Mehta
- Division of Cardiology and Radiology, Scripps Clinic, La Jolla, California
| | - Dipan J Shah
- Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas
| | - Dany Debs
- Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas
| | - Subha V Raman
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, Ohio
| | - Avirup Guha
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, Ohio
| | - Victor A Ferrari
- Cardiovascular Division, Perelman School of Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jeanette Schulz-Menger
- Charité, Medical Faculty of the Humboldt University, Experimental and Clinical Research Center, Berlin, and Helios Clinics, Cardiology, Berlin, Germany
| | - Rory Hachamovitch
- Division of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Matthias Stuber
- Department of Radiology, University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Orlando P Simonetti
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, Ohio
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Bandettini WP, Shanbhag SM, Mancini C, McGuirt DR, Kellman P, Xue H, Henry JL, Lowery M, Thein SL, Chen MY, Campbell-Washburn AE. A comparison of cine CMR imaging at 0.55 T and 1.5 T. J Cardiovasc Magn Reson 2020; 22:37. [PMID: 32423456 PMCID: PMC7232838 DOI: 10.1186/s12968-020-00618-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Accepted: 03/20/2020] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND There is a renewed interest in lower field magnetic resonance imaging (MRI) systems for cardiovascular magnetic resonance (CMR), due to their favorable physical properties, reduced costs, and increased accessibility to patients with implants. We sought to assess the diagnostic capabilities of high-performance low-field (0.55 T) CMR imaging for quantification of right and left ventricular volumes and systolic function in both healthy subjects and patients referred for clinical CMR. METHODS Sixty-five subjects underwent paired exams at 1.5 T using a clinical CMR scanner and using an identical CMR system modified to operate at 0.55 T. Volumetric coverage of the right ventricle (RV) and left ventricles (LV) was obtained using either a breath-held cine balanced steady-state free-precession acquisition or a motion-corrected free-breathing re-binned cine acquisition. Bland-Altman analysis was used to compare LV and RV end-systolic volume (ESV), end-diastolic volume (EDV), ejection fraction (EF), and LV mass. Diagnostic confidence was scored on a Likert-type ordinal scale by blinded readers. RESULTS There were no significant differences in LV and RV EDV between the two scanners (e.g., LVEDV: p = 0.77, bias = 0.40 mL, correlation coefficient = 0.99; RVEDV: p = 0.17, bias = - 1.6 mL, correlation coefficient = 0.98), and regional wall motion abnormality scoring was similar (kappa 0.99). Blood-myocardium contrast-to-noise ratio (CNR) at 0.55 T was 48 ± 7% of the 1.5 T CNR, and contrast was sufficient for endocardial segmentation in all cases. Diagnostic confidence of images was scored as "good" to "excellent" for the two field strengths in the majority of studies. CONCLUSION A high-performance 0.55 T system offers good bSSFP CMR image quality, and quantification of biventricular volumes and systolic function that is comparable to 1.5 T in patients. TRIAL REGISTRATION Clinicaltrials.gov NCT03331380, NCT03581318.
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Affiliation(s)
- W Patricia Bandettini
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Building 10, Room BID-47, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Sujata M Shanbhag
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Building 10, Room BID-47, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Christine Mancini
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Building 10, Room BID-47, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Delaney R McGuirt
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Building 10, Room BID-47, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Peter Kellman
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Building 10, Room BID-47, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Hui Xue
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Building 10, Room BID-47, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Jennifer L Henry
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Building 10, Room BID-47, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Margaret Lowery
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Building 10, Room BID-47, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Swee Lay Thein
- Sickle Cell Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Bethesda, MD, USA
| | - Marcus Y Chen
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Building 10, Room BID-47, 10 Center Dr, Bethesda, MD, 20892, USA
| | - Adrienne E Campbell-Washburn
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Department of Health and Human Services, Building 10, Room BID-47, 10 Center Dr, Bethesda, MD, 20892, USA.
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Batlle JC, Kirsch J, Bolen MA, Bandettini WP, Brown RKJ, Francois CJ, Galizia MS, Hanneman K, Inacio JR, Johnson TV, Khosa F, Krishnamurthy R, Rajiah P, Singh SP, Tomaszewski CA, Villines TC, Wann S, Young PM, Zimmerman SL, Abbara S. ACR Appropriateness Criteria® Chest Pain-Possible Acute Coronary Syndrome. J Am Coll Radiol 2020; 17:S55-S69. [PMID: 32370978 DOI: 10.1016/j.jacr.2020.01.027] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 01/25/2020] [Indexed: 12/17/2022]
Abstract
Chest pain is a frequent cause for emergency department visits and inpatient evaluation, with particular concern for acute coronary syndrome as an etiology, since cardiovascular disease is the leading cause of death in the United States. Although history-based, electrocardiographic, and laboratory evaluations have shown promise in identifying coronary artery disease, early accurate diagnosis is paramount and there is an important role for imaging examinations to determine the presence and extent of anatomic coronary abnormality and ischemic physiology, to guide management with regard to optimal medical therapy or revascularization, and ultimately to thereby improve patient outcomes. A summary of the various methods for initial imaging evaluation of suspected acute coronary syndrome is outlined in this document. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
- Juan C Batlle
- Miami Cardiac and Vascular Institute and Baptist Health of South Florida, Miami, Florida.
| | - Jacobo Kirsch
- Panel Chair, Cleveland Clinic Florida, Weston, Florida
| | | | - W Patricia Bandettini
- National Institutes of Health, Bethesda, Maryland; Society for Cardiovascular Magnetic Resonance
| | | | | | | | - Kate Hanneman
- Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Joao R Inacio
- The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | - Thomas V Johnson
- Sanger Heart and Vascular Institute, Charlotte, North Carolina; Cardiology Expert
| | - Faisal Khosa
- Vancouver General Hospital, Vancouver, British Columbia, Canada
| | | | | | | | | | - Todd C Villines
- University of Virginia Health Center, Charlottesville, Virginia; Society of Cardiovascular Computed Tomography
| | - Samuel Wann
- Ascension Healthcare Wisconsin, Milwaukee, Wisconsin; Nuclear Cardiology Expert
| | | | | | - Suhny Abbara
- Specialty Chair, UT Southwestern Medical Center, Dallas, Texas
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Restivo MC, Ramasawmy R, Bandettini WP, Herzka DA, Campbell-Washburn AE. Efficient spiral in-out and EPI balanced steady-state free precession cine imaging using a high-performance 0.55T MRI. Magn Reson Med 2020; 84:2364-2375. [PMID: 32291845 DOI: 10.1002/mrm.28278] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 03/10/2020] [Accepted: 03/13/2020] [Indexed: 12/22/2022]
Abstract
PURPOSE Low-field MRI offers favorable physical properties for SNR-efficient long readout acquisitions such as spiral and EPI. We used a 0.55 tesla (T) MRI system equipped with high-performance hardware to increase the sampling duty cycle and extend the TR of balanced steady-state free precession (bSSFP) cardiac cine acquisitions, which typically are limited by banding artifacts. METHODS We developed a high-efficiency spiral in-out bSSFP acquisition, with zeroth- and first-gradient moment nulling, and an EPI bSSFP acquisition for cardiac cine imaging using a contemporary MRI system modified to operate at 0.55T. Spiral in-out and EPI bSSFP cine protocols, with TR = 8 ms, were designed to maintain both spatiotemporal resolution and breath-hold length. Simulations, phantom imaging, and healthy volunteer imaging studies (n = 12) were performed to assess SNR and image quality using these high sampling duty-cycle bSSFP sequences. RESULTS Spiral in-out bSSFP performed favorably at 0.55T and generated good image quality, whereas EPI bSSFP suffered motion and flow artifacts. There was no difference in ejection fraction comparing spiral in-out with standard Cartesian imaging. Moreover, human images demonstrated a 79% ± 21% increase in myocardial SNR using spiral in-out bSSFP and 50% ± 14% increase in SNR using EPI bSSFP as compared with the reference Cartesian acquisition. Spiral in-out acquisitions at 0.55T recovered 69% ± 14% of the myocardial SNR at 1.5T. CONCLUSION Efficient bSSFP spiral in-out provided high-quality cardiac cine imaging and SNR recovery on a high-performance 0.55T MRI system.
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Affiliation(s)
- Matthew C Restivo
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Rajiv Ramasawmy
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - W Patricia Bandettini
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Daniel A Herzka
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Adrienne E Campbell-Washburn
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
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Hu-Wang E, Kureshi F, Leifer ES, Acharya T, Sathya B, Yu JH, Groves DW, Bandettini WP, Shanbhag SM, Chen MY. Comparison of professional medical society guidelines for appropriate use of coronary computed tomography angiography. J Cardiovasc Comput Tomogr 2020; 14:478-482. [PMID: 32273241 DOI: 10.1016/j.jcct.2020.01.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 01/25/2020] [Accepted: 01/31/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Multiple appropriate use criteria (AUC) exist for the evaluation of coronary artery disease (CAD), but there is little data on the agreement between AUC from different professional medical societies. The aim of this study is to compare the appropriateness of coronary computed tomography angiography (CCTA) exams assessed using multimodality AUC from the American College of Cardiology Foundation (ACCF) versus the American College of Radiology (ACR). METHODS In a single-center prospective cohort study from June 2014 to 2016, 1005 consecutive subjects referred for evaluation of known or suspected CAD received a contrast-enhanced CCTA. The primary outcome was the agreement of appropriateness ratings using ACCF and ACR guidelines, measured by the kappa statistic. A secondary outcome was the rate of obstructive CAD by appropriateness rating. RESULTS Among 1005 subjects, the median (5-95th percentile) age was 59 (37-76) years with 59.0% male. The ACCF criteria classified 39.6% (n = 398) appropriate, 24.2% (n = 243) maybe appropriate, and 36.2% (n = 364) rarely appropriate. The ACR guidelines classified 72.3% (n = 727) appropriate, 2.6% (n = 26) maybe appropriate, and 25.1% (n = 252) rarely appropriate. ACCF and ACR appropriateness ratings were in agreement for 55.0% (n = 553). Overall, there was poor agreement (kappa 0.27 [95% confidence interval 0.23-0.31]). By both AUC methods, a low rate of obstructive CAD was observed in the rarely appropriate exams (ACCF 7.1% [n = 26 of 364] and ACR 13.5% [n = 34 of 252]). CONCLUSIONS Compared to ACCF criteria, the ACR guidelines of appropriateness were broader and classified significantly more CCTA exams as appropriate. The poor agreement between appropriateness ratings from the ACCF and ACR AUC guidelines evokes implications for reimbursement and future test utilization.
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Affiliation(s)
- Eileen Hu-Wang
- Laboratory of Cardiovascular CT, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Faraz Kureshi
- Laboratory of Cardiovascular CT, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA; Austin Heart and St. David's Healthcare, Austin, TX, USA.
| | - Eric S Leifer
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Tushar Acharya
- Laboratory of Cardiovascular CT, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA; University of Arizona Health Sciences, Division of Cardiology, Tucson, AZ, USA.
| | - Bharath Sathya
- Laboratory of Cardiovascular CT, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA; Monmouth Cardiology, Eatontown, NJ, USA.
| | - Jeannie H Yu
- Laboratory of Cardiovascular CT, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA; VA Long Beach Healthcare System, Division of Cardiology, Department of Medicine, University of California-Irvine, Long Beach, CA, USA.
| | - Daniel W Groves
- Laboratory of Cardiovascular CT, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA; Departments of Medicine and Radiology, Divisions of Cardiology and Cardiothoracic Imaging, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - W Patricia Bandettini
- Laboratory of Cardiovascular CT, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Sujata M Shanbhag
- Laboratory of Cardiovascular CT, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Marcus Y Chen
- Laboratory of Cardiovascular CT, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
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Liu Y, Xia P, Chen J, Bandettini WP, Kirschner LS, Stratakis CA, Cheng Z. PRKAR1A
deficiency delays postnatal heart growth. FASEB J 2020. [DOI: 10.1096/fasebj.2020.34.s1.02703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Bui V, Shanbhag SM, Levine O, Jacobs M, Bandettini WP, Chang LC, Chen MY, Hsu LY. Simultaneous Multi-Structure Segmentation of the Heart and Peripheral Tissues in Contrast Enhanced Cardiac Computed Tomography Angiography. IEEE Access 2020; 8:16187-16202. [PMID: 33747668 PMCID: PMC7971052 DOI: 10.1109/access.2020.2966985] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Contrast enhanced cardiac computed tomography angiography (CTA) is a prominent imaging modality for diagnosing cardiovascular diseases non-invasively. It assists the evaluation of the coronary artery patency and provides a comprehensive assessment of structural features of the heart and great vessels. However, physicians are often required to evaluate different cardiac structures and measure their size manually. Such task is very time-consuming and tedious due to the large number of image slices in 3D data. We present a fully automatic method based on a combined multi-atlas and corrective segmentation approach to label the heart and its associated cardiovascular structures. This method also automatically separates other surrounding intrathoracic structures from CTA images. Quantitative assessment of the proposed method is performed on 36 studies with a reference standard obtained from expert manual segmentation of various cardiac structures. Qualitative evaluation is also performed by expert readers to score 120 studies of the automatic segmentation. The quantitative results showed an overall Dice of 0.93, Hausdorff distance of 7.94 mm, and mean surface distance of 1.03 mm between automatically and manually segmented cardiac structures. The visual assessment also attained an excellent score for the automatic segmentation. The average processing time was 2.79 minutes. Our results indicate the proposed automatic framework significantly improves accuracy and computational speed in conventional multi-atlas based approach, and it provides comprehensive and reliable multi-structural segmentation of CTA images that is valuable for clinical application.
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Affiliation(s)
- Vy Bui
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Electrical Engineering and Computer Science, Catholic University of America, Washington DC, USA
| | - Sujata M. Shanbhag
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Oscar Levine
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Washington University in St. Louis, St. Louis, MO, USA
| | - Matthew Jacobs
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Electrical Engineering and Computer Science, Catholic University of America, Washington DC, USA
| | - W. Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lin-Ching Chang
- Department of Electrical Engineering and Computer Science, Catholic University of America, Washington DC, USA
| | - Marcus Y. Chen
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Li-Yueh Hsu
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
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35
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Campbell-Washburn AE, Ramasawmy R, Restivo MC, Bhattacharya I, Basar B, Herzka DA, Hansen MS, Rogers T, Bandettini WP, McGuirt DR, Mancini C, Grodzki D, Schneider R, Majeed W, Bhat H, Xue H, Moss J, Malayeri AA, Jones EC, Koretsky AP, Kellman P, Chen MY, Lederman RJ, Balaban RS. Opportunities in Interventional and Diagnostic Imaging by Using High-Performance Low-Field-Strength MRI. Radiology 2019; 293:384-393. [PMID: 31573398 PMCID: PMC6823617 DOI: 10.1148/radiol.2019190452] [Citation(s) in RCA: 191] [Impact Index Per Article: 38.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 08/06/2019] [Accepted: 08/15/2019] [Indexed: 12/24/2022]
Abstract
Background Commercial low-field-strength MRI systems are generally not equipped with state-of-the-art MRI hardware, and are not suitable for demanding imaging techniques. An MRI system was developed that combines low field strength (0.55 T) with high-performance imaging technology. Purpose To evaluate applications of a high-performance low-field-strength MRI system, specifically MRI-guided cardiovascular catheterizations with metallic devices, diagnostic imaging in high-susceptibility regions, and efficient image acquisition strategies. Materials and Methods A commercial 1.5-T MRI system was modified to operate at 0.55 T while maintaining high-performance hardware, shielded gradients (45 mT/m; 200 T/m/sec), and advanced imaging methods. MRI was performed between January 2018 and April 2019. T1, T2, and T2* were measured at 0.55 T; relaxivity of exogenous contrast agents was measured; and clinical applications advantageous at low field were evaluated. Results There were 83 0.55-T MRI examinations performed in study participants (45 women; mean age, 34 years ± 13). On average, T1 was 32% shorter, T2 was 26% longer, and T2* was 40% longer at 0.55 T compared with 1.5 T. Nine metallic interventional devices were found to be intrinsically safe at 0.55 T (<1°C heating) and MRI-guided right heart catheterization was performed in seven study participants with commercial metallic guidewires. Compared with 1.5 T, reduced image distortion was shown in lungs, upper airway, cranial sinuses, and intestines because of improved field homogeneity. Oxygen inhalation generated lung signal enhancement of 19% ± 11 (standard deviation) at 0.55 T compared with 7.6% ± 6.3 at 1.5 T (P = .02; five participants) because of the increased T1 relaxivity of oxygen (4.7e-4 mmHg-1sec-1). Efficient spiral image acquisitions were amenable to low field strength and generated increased signal-to-noise ratio compared with Cartesian acquisitions (P < .02). Representative imaging of the brain, spine, abdomen, and heart generated good image quality with this system. Conclusion This initial study suggests that high-performance low-field-strength MRI offers advantages for MRI-guided catheterizations with metal devices, MRI in high-susceptibility regions, and efficient imaging. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Grist in this issue.
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Affiliation(s)
- Adrienne E. Campbell-Washburn
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Rajiv Ramasawmy
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Matthew C. Restivo
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Ipshita Bhattacharya
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Burcu Basar
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Daniel A. Herzka
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Michael S. Hansen
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Toby Rogers
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - W. Patricia Bandettini
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Delaney R. McGuirt
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Christine Mancini
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - David Grodzki
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Rainer Schneider
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Waqas Majeed
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Himanshu Bhat
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Hui Xue
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Joel Moss
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Ashkan A. Malayeri
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Elizabeth C. Jones
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Alan P. Koretsky
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Peter Kellman
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Marcus Y. Chen
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Robert J. Lederman
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
| | - Robert S. Balaban
- From the Cardiovascular Branch, Division of Intramural Research,
National Heart, Lung, and Blood Institute, National Institutes of Health,
Bethesda, Md (A.E.C.W., R.R., M.C.R., I.B., B.B., D.A.H., M.S.H., T.R., W.P.B.,
D.R.M., C.M., M.Y.C., R.J.L.); Siemens Healthcare GmbH, Erlangen, Germany (D.G.,
R.S.); Siemens Medical Solutions Inc, Malvern Pa (W.M., H.B.); Systems Biology
Center, Division of Intramural Research, National Heart, Lung, and Blood
Institute, National Institutes of Health, 10 Center Dr, Building 10, Room
4C-1581, Bethesda, MD 20892-1458 (H.X., P.K., R.S.B.); Pulmonary Branch,
Division of Intramural Research, National Heart, Lung, and Blood Institute,
National Institutes of Health, Bethesda, MD (J.M.); Department of Radiology and
Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Md
(A.A.M., E.C.J.); and Laboratory of Functional and Molecular Imaging, Division
of Intramural Research, National Institute of Neurologic Disorders and Stroke,
National Institutes of Health, Bethesda, Md (A.P.K.)
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Huang CJ, Bandettini WP, Danis M. Returning Individual Research Results Regarding Gadolinium Deposition in the Brain Is the Preferable Choice. Am J Bioeth 2019; 19:77-78. [PMID: 31544659 DOI: 10.1080/15265161.2019.1572829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
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Acharya T, Patricia Bandettini W, Arai AE, Chen MY. The pulmonary embolism that wasn’t: a case of pulmonary pseudosequestration. Eur Heart J Cardiovasc Imaging 2018; 19:1310. [DOI: 10.1093/ehjci/jey094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Tushar Acharya
- National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, MSC 1061 Building 10, Room B1D416, Bethesda, MD, USA
| | - W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, MSC 1061 Building 10, Room B1D416, Bethesda, MD, USA
| | - Andrew E Arai
- National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, MSC 1061 Building 10, Room B1D416, Bethesda, MD, USA
| | - Marcus Y Chen
- National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, MSC 1061 Building 10, Room B1D416, Bethesda, MD, USA
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Schuzer JL, Shanbhag SM, Bandettini WP, Chen MY. P1777Non-ECG triggered CT assessment of coronary calcium does not equate to cardiac-gated true Agatston calcium scoring. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy565.p1777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- J L Schuzer
- Canon Medical Research, Vernon Hills, United States of America
| | - S M Shanbhag
- National Institutes of Health, National Heart, Lung and Blood Institute, Bethesda, United States of America
| | - W P Bandettini
- National Institutes of Health, National Heart, Lung and Blood Institute, Bethesda, United States of America
| | - M Y Chen
- National Institutes of Health, National Heart, Lung and Blood Institute, Bethesda, United States of America
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Groves DW, Acharya T, Shanbhag SM, Bandettini WP, Arai AE, Chen MY. Dynamic nature of caseous mitral annular calcification. J Cardiovasc Comput Tomogr 2018; 12:444-446. [PMID: 29804888 DOI: 10.1016/j.jcct.2018.05.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2016] [Revised: 05/07/2018] [Accepted: 05/14/2018] [Indexed: 10/16/2022]
Affiliation(s)
- Daniel W Groves
- Advanced Cardiovascular Imaging Laboratory, Cardiovascular and Pulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tushar Acharya
- Advanced Cardiovascular Imaging Laboratory, Cardiovascular and Pulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sujata M Shanbhag
- Advanced Cardiovascular Imaging Laboratory, Cardiovascular and Pulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - W Patricia Bandettini
- Advanced Cardiovascular Imaging Laboratory, Cardiovascular and Pulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Andrew E Arai
- Advanced Cardiovascular Imaging Laboratory, Cardiovascular and Pulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marcus Y Chen
- Advanced Cardiovascular Imaging Laboratory, Cardiovascular and Pulmonary Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
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Ta AD, Hsu LY, Conn HM, Winkler S, Greve AM, Shanbhag SM, Chen MY, Patricia Bandettini W, Arai AE. Fully quantitative pixel-wise analysis of cardiovascular magnetic resonance perfusion improves discrimination of dark rim artifact from perfusion defects associated with epicardial coronary stenosis. J Cardiovasc Magn Reson 2018; 20:16. [PMID: 29514708 PMCID: PMC5842542 DOI: 10.1186/s12968-018-0436-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Accepted: 02/07/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Dark rim artifacts in first-pass cardiovascular magnetic resonance (CMR) perfusion images can mimic perfusion defects and affect diagnostic accuracy for coronary artery disease (CAD). We evaluated whether quantitative myocardial blood flow (MBF) can differentiate dark rim artifacts from true perfusion defects in CMR perfusion. METHODS Regadenoson perfusion CMR was performed at 1.5 T in 76 patients. Significant CAD was defined by quantitative invasive coronary angiography (QCA) ≥ 50% diameter stenosis. Non-significant CAD (NonCAD) was defined as stenosis by QCA < 50% diameter stenosis or computed tomographic coronary angiography (CTA) < 30% in all major epicardial arteries. Dark rim artifacts had study specific and guideline-based definitions for comparison purposes. MBF was quantified at the pixel-level and sector-level. RESULTS In a NonCAD subgroup with dark rim artifacts, stress MBF was lower in the subendocardial than midmyocardial and epicardial layers (2.17 ± 0.61 vs. 3.06 ± 0.75 vs. 3.24 ± 0.80 mL/min/g, both p < 0.001) and was also 30% lower than in remote regions (2.17 ± 0.61 vs. 2.83 ± 0.67 mL/min/g, p < 0.001). However, subendocardial stress MBF in dark rim artifacts was 37-56% higher than in true perfusion defects (2.17 ± 0.61 vs. 0.95 ± 0.43 mL/min/g, p < 0.001). Absolute stress MBF differentiated CAD from NonCAD with an accuracy ranging from 86 to 89% (all p < 0.001) using pixel-level analyses. Similar results were seen at a sector level. CONCLUSION Quantitative stress MBF is lower in dark rim artifacts than remote myocardium but significantly higher than in true perfusion defects. If confirmed in larger series, this approach may aid the interpretation of clinical stress perfusion exams. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT00027170 ; first posted 11/28/2001; updated 11/27/2017.
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Affiliation(s)
- Allison D. Ta
- National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bldg 10, Rm B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061 USA
- Duke University School of Medicine, Durham, North Carolina USA
| | - Li-Yueh Hsu
- National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bldg 10, Rm B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061 USA
| | - Hannah M. Conn
- National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bldg 10, Rm B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061 USA
| | - Susanne Winkler
- National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bldg 10, Rm B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061 USA
- Medical University of Vienna, Vienna, Austria
| | - Anders M. Greve
- National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bldg 10, Rm B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061 USA
| | - Sujata M. Shanbhag
- National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bldg 10, Rm B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061 USA
| | - Marcus Y. Chen
- National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bldg 10, Rm B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061 USA
| | - W. Patricia Bandettini
- National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bldg 10, Rm B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061 USA
| | - Andrew E. Arai
- National Heart, Lung and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bldg 10, Rm B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061 USA
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Hsu LY, Jacobs M, Benovoy M, Ta AD, Conn HM, Winkler S, Greve AM, Chen MY, Shanbhag SM, Bandettini WP, Arai AE. Diagnostic Performance of Fully Automated Pixel-Wise Quantitative Myocardial Perfusion Imaging by Cardiovascular Magnetic Resonance. JACC Cardiovasc Imaging 2018; 11:697-707. [PMID: 29454767 PMCID: PMC8760891 DOI: 10.1016/j.jcmg.2018.01.005] [Citation(s) in RCA: 88] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 01/02/2018] [Accepted: 01/04/2018] [Indexed: 11/29/2022]
Abstract
OBJECTIVES The authors developed a fully automated framework to quantify myocardial blood flow (MBF) from contrast-enhanced cardiac magnetic resonance (CMR) perfusion imaging and evaluated its diagnostic performance in patients. BACKGROUND Fully quantitative CMR perfusion pixel maps were previously validated with microsphere MBF measurements and showed potential in clinical applications, but the methods required laborious manual processes and were excessively time-consuming. METHODS CMR perfusion imaging was performed on 80 patients with known or suspected coronary artery disease (CAD) and 17 healthy volunteers. Significant CAD was defined by quantitative coronary angiography (QCA) as ≥70% stenosis. Nonsignificant CAD was defined by: 1) QCA as <70% stenosis; or 2) coronary computed tomography angiography as <30% stenosis and a calcium score of 0 in all vessels. Automatically generated MBF maps were compared with manual quantification on healthy volunteers. Diagnostic performance of the automated MBF pixel maps was analyzed on patients using absolute MBF, myocardial perfusion reserve (MPR), and relative measurements of MBF and MPR. RESULTS The correlation between automated and manual quantification was excellent (r = 0.96). Stress MBF and MPR in the ischemic zone were lower than those in the remote myocardium in patients with significant CAD (both p < 0.001). Stress MBF and MPR in the remote zone of the patients were lower than those in the normal volunteers (both p < 0.001). All quantitative metrics had good area under the curve (0.864 to 0.926), sensitivity (82.9% to 91.4%), and specificity (75.6% to 91.1%) on per-patient analysis. On a per-vessel analysis of the quantitative metrics, area under the curve (0.837 to 0.864), sensitivity (75.0% to 82.7%), and specificity (71.8% to 80.9%) were good. CONCLUSIONS Fully quantitative CMR MBF pixel maps can be generated automatically, and the results agree well with manual quantification. These methods can discriminate regional perfusion variations and have high diagnostic performance for detecting significant CAD. (Technical Development of Cardiovascular Magnetic Resonance Imaging; NCT00027170)
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Affiliation(s)
- Li-Yueh Hsu
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Matthew Jacobs
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Mitchel Benovoy
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Allison D Ta
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Hannah M Conn
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Susanne Winkler
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Anders M Greve
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Marcus Y Chen
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Sujata M Shanbhag
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - W Patricia Bandettini
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Andrew E Arai
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
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Kovacs W, Hsieh N, Roth H, Nnamdi-Emeratom C, Bandettini WP, Arai A, Mankodi A, Summers RM, Yao J. Holistic segmentation of the lung in cine MRI. J Med Imaging (Bellingham) 2017; 4:041310. [PMID: 29226176 DOI: 10.1117/1.jmi.4.4.041310] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Accepted: 11/06/2017] [Indexed: 01/01/2023] Open
Abstract
Duchenne muscular dystrophy (DMD) is a childhood-onset neuromuscular disease that results in the degeneration of muscle, starting in the extremities, before progressing to more vital areas, such as the lungs. Respiratory failure and pneumonia due to respiratory muscle weakness lead to hospitalization and early mortality. However, tracking the disease in this region can be difficult, as current methods are based on breathing tests and are incapable of distinguishing between muscle involvements. Cine MRI scans give insight into respiratory muscle movements, but the images suffer due to low spatial resolution and poor signal-to-noise ratio. Thus, a robust lung segmentation method is required for accurate analysis of the lung and respiratory muscle movement. We deployed a deep learning approach that utilizes sequence-specific prior information to assist the segmentation of lung in cine MRI. More specifically, we adopt a holistically nested network to conduct image-to-image holistic training and prediction. One frame of the cine MRI is used in the training and applied to the remainder of the sequence ([Formula: see text] frames). We applied this method to cine MRIs of the lung in the axial, sagittal, and coronal planes. Characteristic lung motion patterns during the breathing cycle were then derived from the segmentations and used for diagnosis. Our data set consisted of 31 young boys, age [Formula: see text] years, 15 of whom suffered from DMD. The remaining 16 subjects were age-matched healthy volunteers. For validation, slices from inspiratory and expiratory cycles were manually segmented and compared with results obtained from our method. The Dice similarity coefficient for the deep learning-based method was [Formula: see text] for the sagittal view, [Formula: see text] for the axial view, and [Formula: see text] for the coronal view. The holistic neural network approach was compared with an approach using Demon's registration and showed superior performance. These results suggest that the deep learning-based method reliably and accurately segments the lung across the breathing cycle.
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Affiliation(s)
- William Kovacs
- National Institutes of Health, Radiology and Imaging Sciences, Clinical Center, Clinical Image Processing Services, Bethesda, Maryland, United States
| | - Nathan Hsieh
- National Institutes of Health, Radiology and Imaging Sciences, Clinical Center, Clinical Image Processing Services, Bethesda, Maryland, United States
| | - Holger Roth
- National Institutes of Health, Radiology and Imaging Sciences, Clinical Center, Clinical Image Processing Services, Bethesda, Maryland, United States
| | - Chioma Nnamdi-Emeratom
- National Institutes of Health, National Institute of Neurological Disorders and Stroke, Neurogenetics Branch, Bethesda, Maryland, United States
| | - W Patricia Bandettini
- National Institutes of Health, National Heart, Lung and Blood Institute, Advanced Cardiovascular Imaging, Bethesda, Maryland, United States
| | - Andrew Arai
- National Institutes of Health, National Heart, Lung and Blood Institute, Advanced Cardiovascular Imaging, Bethesda, Maryland, United States
| | - Ami Mankodi
- National Institutes of Health, National Institute of Neurological Disorders and Stroke, Neurogenetics Branch, Bethesda, Maryland, United States
| | - Ronald M Summers
- National Institutes of Health, Radiology and Imaging Sciences, Clinical Center, Clinical Image Processing Services, Bethesda, Maryland, United States
| | - Jianhua Yao
- National Institutes of Health, Radiology and Imaging Sciences, Clinical Center, Clinical Image Processing Services, Bethesda, Maryland, United States
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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] [What about the content of this article? (0)] [Affiliation(s)] [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.
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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.)
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Mankodi A, Kovacs W, Norato G, Hsieh N, Bandettini WP, Bishop CA, Shimellis H, Newbould RD, Kim E, Fischbeck KH, Arai AE, Yao J. Respiratory magnetic resonance imaging biomarkers in Duchenne muscular dystrophy. Ann Clin Transl Neurol 2017; 4:655-662. [PMID: 28904987 PMCID: PMC5590523 DOI: 10.1002/acn3.440] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2017] [Accepted: 06/28/2017] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVE To examine the diaphragm and chest wall dynamics with cine breathing magnetic resonance imaging (MRI) in ambulatory boys with Duchenne muscular dystrophy (DMD) without respiratory symptoms and controls. METHODS In 11 DMD boys and 15 controls, cine MRI of maximal breathing was recorded for 10 sec. The lung segmentations were done by an automated pipeline based on a Holistically-Nested Network model (HNN method). Lung areas, diaphragm, and chest wall motion were measured throughout the breathing cycle. RESULTS The HNN method reliably identified the contours of the lung and the diaphragm in every frame of each dataset (~180 frames) within seconds. The lung areas at maximal inspiration and expiration were reduced in DMD patients relative to controls (P = 0.02 and <0.01, respectively). The change in the lung area between inspiration and expiration correlated with percent predicted forced vital capacity (FVC) in patients (rs = 0.75, P = 0.03) and was not significantly different between groups. The diaphragm position, length, contractility, and motion were not significantly different between groups. Chest wall motion was reduced in patients compared to controls (P < 0.01). INTERPRETATION Cine breathing MRI allows independent and reliable assessment of the diaphragm and chest wall dynamics during the breathing cycle in DMD patients and controls. The MRI data indicate that ambulatory DMD patients breathe at lower lung volumes than controls when their FVC is in the normal range. The diaphragm moves normally, whereas chest wall motion is reduced in these boys with DMD.
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Affiliation(s)
- Ami Mankodi
- Neurogenetics Branch National Institute of Neurological Disorders and Stroke National Institutes of Health Bethesda Maryland
| | - William Kovacs
- Radiology and Imaging Sciences The National Institutes of Health Clinical Center Bethesda Maryland
| | - Gina Norato
- Office of Biostatistics National Institute of Neurological Disorders and Stroke National Institutes of Health Bethesda Maryland
| | - Nathan Hsieh
- Radiology and Imaging Sciences The National Institutes of Health Clinical Center Bethesda Maryland
| | - W Patricia Bandettini
- Advanced Cardiovascular Imaging National Heart Lung and Blood Institute National Institutes of Health Bethesda Maryland
| | - Courtney A Bishop
- Imanova Center for Imaging Sciences Imperial College London Hammersmith Hospital London United Kingdom
| | - Hirity Shimellis
- Neurogenetics Branch National Institute of Neurological Disorders and Stroke National Institutes of Health Bethesda Maryland
| | - Rexford D Newbould
- Imanova Center for Imaging Sciences Imperial College London Hammersmith Hospital London United Kingdom
| | - Eunhee Kim
- Office of Biostatistics National Institute of Neurological Disorders and Stroke National Institutes of Health Bethesda Maryland
| | - Kenneth H Fischbeck
- Neurogenetics Branch National Institute of Neurological Disorders and Stroke National Institutes of Health Bethesda Maryland
| | - Andrew E Arai
- Advanced Cardiovascular Imaging National Heart Lung and Blood Institute National Institutes of Health Bethesda Maryland
| | - Jianhua Yao
- Radiology and Imaging Sciences The National Institutes of Health Clinical Center Bethesda Maryland
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Acharya T, Bandettini WP, Arai A, Chen M, Heart N. THE PULMONARY EMBOLISM THAT WASN'T: A CASE OF PULMONARY PSEUDO-SEQUESTRATION. J Am Coll Cardiol 2017. [DOI: 10.1016/s0735-1097(17)35563-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Choi AD, Bradley A, Shanbhag S, Kellman P, Levine O, Mancini C, Chen M, Arai A, Bandettini WP. CARDIOVASCULAR MAGNETIC RESONANCE IN THE EVALUATION OF FIBROFATTY INFILTRATION FOR ARRHYTHMOGENIC RIGHT VENTRICULAR DYSPLASIA/CARDIOMYOPATHY (ARVD/C). J Am Coll Cardiol 2017. [DOI: 10.1016/s0735-1097(17)34864-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Kwong RY, Petersen SE, Schulz-Menger J, Arai AE, Bingham SE, Chen Y, Choi YL, Cury RC, Ferreira VM, Flamm SD, Steel K, Bandettini WP, Martin ET, Nallamshetty L, Neubauer S, Raman SV, Schelbert EB, Valeti US, Cao JJ, Reichek N, Young AA, Fexon L, Pivovarov M, Ferrari VA, Simonetti OP. The global cardiovascular magnetic resonance registry (GCMR) of the society for cardiovascular magnetic resonance (SCMR): its goals, rationale, data infrastructure, and current developments. J Cardiovasc Magn Reson 2017; 19:23. [PMID: 28187739 PMCID: PMC5303267 DOI: 10.1186/s12968-016-0321-7] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Accepted: 12/29/2016] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND With multifaceted imaging capabilities, cardiovascular magnetic resonance (CMR) is playing a progressively increasing role in the management of various cardiac conditions. A global registry that harmonizes data from international centers, with participation policies that aim to be open and inclusive of all CMR programs, can support future evidence-based growth in CMR. METHODS The Global CMR Registry (GCMR) was established in 2013 under the auspices of the Society for Cardiovascular Magnetic Resonance (SCMR). The GCMR team has developed a web-based data infrastructure, data use policy and participation agreement, data-harmonizing methods, and site-training tools based on results from an international survey of CMR programs. RESULTS At present, 17 CMR programs have established a legal agreement to participate in GCMR, amongst them 10 have contributed CMR data, totaling 62,456 studies. There is currently a predominance of CMR centers with more than 10 years of experience (65%), and the majority are located in the United States (63%). The most common clinical indications for CMR have included assessment of cardiomyopathy (21%), myocardial viability (16%), stress CMR perfusion for chest pain syndromes (16%), and evaluation of etiology of arrhythmias or planning of electrophysiological studies (15%) with assessment of cardiomyopathy representing the most rapidly growing indication in the past decade. Most CMR studies involved the use of gadolinium-based contrast media (95%). CONCLUSIONS We present the goals, mission and vision, infrastructure, preliminary results, and challenges of the GCMR. TRIAL REGISTRATION Identification number on ClinicalTrials.gov: NCT02806193 . Registered 17 June 2016.
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Affiliation(s)
- The Global Cardiovascular Magnetic Resonance Registry (GCMR) Investigators
- Department of Medicine, Brigham and Women’s Hospital, Cardiovascular Division, Boston, USA
- Harvard Medical School, 75 Francis Street, Boston, MA 02115 USA
- William Harvey Research Institute, London, UK
- Charite Universitatsmedizin, Berlin, Germany
- National Heart Lung and Blood Institute, Maryland, USA
- Revere Health, Provo, USA
- West China Hospital, Chengdu, China
- Miami Cardiac and Vascular Institute, Miami, USA
- University of Oxford, Oxford, UK
- Cleveland Clinic, Cleveland, USA
- San Antonio Military Medical Center, San Antonio, USA
- Oklahoma Heart Institute, Oklahoma, USA
- University of South Florida, Miami, USA
- Ohio State University Wexner Medical Center, Cleveland, USA
- University of Pittsburgh, Pittsburgh, USA
- University of Minnesota, Minnesota, USA
- St. Francis Hospital, New York, USA
- University of Auckland, Auckland, New Zealand
- Massachusetts General Hospital, Boston, USA
- University of Pennsylvania, Philadelphia, USA
- Ohio State University, Columbus, USA
| | - Raymond Y. Kwong
- Department of Medicine, Brigham and Women’s Hospital, Cardiovascular Division, Boston, USA
- Harvard Medical School, 75 Francis Street, Boston, MA 02115 USA
| | | | | | | | | | | | - Yuna L. Choi
- Department of Medicine, Brigham and Women’s Hospital, Cardiovascular Division, Boston, USA
| | | | | | | | - Kevin Steel
- San Antonio Military Medical Center, San Antonio, USA
| | | | | | | | | | - Subha V. Raman
- Ohio State University Wexner Medical Center, Cleveland, USA
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Gaur L, Hanna A, Bandettini WP, Fischbeck KH, Arai AE, Mankodi A. Upper arm and cardiac magnetic resonance imaging in Duchenne muscular dystrophy. Ann Clin Transl Neurol 2016; 3:948-955. [PMID: 28097207 PMCID: PMC5224820 DOI: 10.1002/acn3.367] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Revised: 09/27/2016] [Accepted: 09/28/2016] [Indexed: 12/19/2022] Open
Abstract
We analyzed quantitative maps of T1 and T2 relaxation times and muscle fat fraction measurements in magnetic resonance imaging of the upper arm skeletal muscles and heart in ambulatory boys with Duchenne muscular dystrophy and age‐range‐matched healthy volunteer boys. The cardiac‐optimized sequences detected fatty infiltration and edema in the upper arm skeletal muscles but not the myocardium in these Duchenne muscular dystrophy boys who had normal ejection fraction. Imaging the heart and skeletal muscle using the same magnetic resonance imaging methods during a single scan may be useful in assessing relative disease status and therapeutic response in clinical trials of Duchenne muscular dystrophy.
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Affiliation(s)
- Lasya Gaur
- Advanced Cardiovascular Imaging National Heart, Lung and Blood Institute Bethesda Maryland; Present address: Pediatric Cardiology The Johns Hopkins Hospital Baltimore Maryland
| | - Alexander Hanna
- Advanced Cardiovascular Imaging National Heart, Lung and Blood Institute Bethesda Maryland
| | - W Patricia Bandettini
- Advanced Cardiovascular Imaging National Heart, Lung and Blood Institute Bethesda Maryland
| | - Kenneth H Fischbeck
- Neurogenetics Branch National Institute of Neurological Disorders and Stroke National Institutes of Health Bethesda Maryland
| | - Andrew E Arai
- Advanced Cardiovascular Imaging National Heart, Lung and Blood Institute Bethesda Maryland
| | - Ami Mankodi
- Neurogenetics Branch National Institute of Neurological Disorders and Stroke National Institutes of Health Bethesda Maryland
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Bandettini WP, Karageorgiadis AS, Sinaii N, Rosing DR, Sachdev V, Schernthaner-Reiter MH, Gourgari E, Papadakis GZ, Keil MF, Lyssikatos C, Carney JA, Arai AE, Lodish M, Stratakis CA. Growth hormone and risk for cardiac tumors in Carney complex. Endocr Relat Cancer 2016; 23:739-46. [PMID: 27535175 PMCID: PMC4991637 DOI: 10.1530/erc-16-0246] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Accepted: 07/15/2016] [Indexed: 11/08/2022]
Abstract
Carney complex (CNC) is a multiple neoplasia syndrome that is caused mostly by PRKAR1A mutations. Cardiac myxomas are the leading cause of mortality in CNC patients who, in addition, often develop growth hormone (GH) excess. We studied patients with CNC, who were observed for over a period of 20 years (1995-2015) for the development of both GH excess and cardiac myxomas. GH secretion was evaluated by standard testing; dedicated cardiovascular imaging was used to detect cardiac abnormalities. Four excised cardiac myxomas were tested for the expression of insulin-like growth factor-1 (IGF-1). A total of 99 CNC patients (97 with a PRKAR1A mutation) were included in the study with a mean age of 25.8 ± 16.6 years at presentation. Over an observed mean follow-up of 25.8 years, 60% of patients with GH excess (n = 46) developed a cardiac myxoma compared with only 36% of those without GH excess (n = 54) (P = 0.016). Overall, patients with GH excess were also more likely to have a tumor vs those with normal GH secretion (OR: 2.78, 95% CI: 1.23-6.29; P = 0.014). IGF-1 mRNA and protein were higher in CNC myxomas than in normal heart tissue. We conclude that the development of cardiac myxomas in CNC may be associated with increased GH secretion, in a manner analogous to the association between fibrous dysplasia and GH excess in McCune-Albright syndrome, a condition similar to CNC. We speculate that treatment of GH excess in patients with CNC may reduce the likelihood of cardiac myxoma formation and/or recurrence of this tumor.
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Affiliation(s)
- W Patricia Bandettini
- National HeartLung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, Maryland, USA
| | - Alexander S Karageorgiadis
- National Institute of Child Health and Human Development (NICHD)NIH, Bethesda, Maryland, USA Department of PediatricsGeorgetown University Hospital, Washington, District of Columbia, USA
| | - Ninet Sinaii
- Biostatistics and Clinical Epidemiology ServiceClinical Center, NIH, Bethesda, Maryland, USA
| | - Douglas R Rosing
- National HeartLung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, Maryland, USA
| | - Vandana Sachdev
- National HeartLung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, Maryland, USA
| | | | - Evgenia Gourgari
- National Institute of Child Health and Human Development (NICHD)NIH, Bethesda, Maryland, USA Department of PediatricsGeorgetown University Hospital, Washington, District of Columbia, USA
| | - Georgios Z Papadakis
- Department of Radiology and Imaging SciencesClinical Center, NIH, Bethesda, Maryland, USA
| | - Meg F Keil
- National Institute of Child Health and Human Development (NICHD)NIH, Bethesda, Maryland, USA
| | - Charalampos Lyssikatos
- National Institute of Child Health and Human Development (NICHD)NIH, Bethesda, Maryland, USA
| | - J Aidan Carney
- Department of Laboratory Medicine and PathologyMayo Clinic, Rochester, Minnesota, USA
| | - Andrew E Arai
- National HeartLung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, Maryland, USA
| | - Maya Lodish
- National Institute of Child Health and Human Development (NICHD)NIH, Bethesda, Maryland, USA
| | - Constantine A Stratakis
- National Institute of Child Health and Human Development (NICHD)NIH, Bethesda, Maryland, USA
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50
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Hammer-Hansen S, Bandettini WP, Hsu LY, Leung SW, Shanbhag S, Mancini C, Greve AM, Køber L, Thune JJ, Kellman P, Arai AE. Mechanisms for overestimating acute myocardial infarct size with gadolinium-enhanced cardiovascular magnetic resonance imaging in humans: a quantitative and kinetic study. Eur Heart J Cardiovasc Imaging 2015; 17:76-84. [PMID: 25983233 PMCID: PMC4684160 DOI: 10.1093/ehjci/jev123] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2015] [Accepted: 04/16/2015] [Indexed: 12/15/2022] Open
Abstract
Aims It remains controversial whether cardiovascular magnetic resonance imaging with gadolinium only enhances acutely infarcted or also salvaged myocardium. We hypothesized that enhancement of salvaged myocardium may be due to altered extracellular volume (ECV) and contrast kinetics compared with normal and infarcted myocardium. If so, these mechanisms could contribute to overestimation of acute myocardial infarction (AMI) size. Methods and results Imaging was performed at 1.5T ≤ 7 days after AMI with serial T1 mapping and volumetric early (5 min post-contrast) and late (20 min post-contrast) gadolinium enhancement imaging. Infarcts were classified as transmural (>75% transmural extent) or non-transmural. Patients with non-transmural infarctions (n = 15) had shorter duration of symptoms before reperfusion (P = 0.02), lower peak troponin (P = 0.008), and less microvascular obstruction (P < 0.001) than patients with transmural infarcts (n = 22). The size of enhancement at 5 min was greater than at 20 min (18.7 ± 12.7 vs. 12.1 ± 7.0%, P = 0.003) in non-transmural infarctions, but similar in transmural infarctions (23.0 ± 10.0 vs. 21.9 ± 9.9%, P = 0.21). ECV of salvaged myocardium was greater than normal (39.5 ± 5.8 vs. 24.1 ± 3.1%) but less than infarcted myocardium (50.5 ± 6.0%, both P < 0.001). In kinetic studies of non-transmural infarctions, salvaged and infarcted myocardium had similar T1 at 4 min but different T1 at 8–20 min post-contrast. Conclusion The extent of gadolinium enhancement in AMI is modulated by ECV and contrast kinetics. Image acquisition too early after contrast administration resulted in overestimation of infarct size in non-transmural infarctions due to enhancement of salvaged myocardium.
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Affiliation(s)
- Sophia Hammer-Hansen
- Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, Department of Health and Human Services, National Institutes of Health, Building 10, Room B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061, USA Department of Medicine B, The Heart Center, Rigshospitalet, Copenhagen, Denmark
| | - W Patricia Bandettini
- Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, Department of Health and Human Services, National Institutes of Health, Building 10, Room B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061, USA
| | - Li-Yueh Hsu
- Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, Department of Health and Human Services, National Institutes of Health, Building 10, Room B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061, USA
| | - Steve W Leung
- Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, Department of Health and Human Services, National Institutes of Health, Building 10, Room B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061, USA Department of Medicine and Radiology, Division of Cardiovascular Medicine, University of Kentucky, Lexington, KY, USA
| | - Sujata Shanbhag
- Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, Department of Health and Human Services, National Institutes of Health, Building 10, Room B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061, USA
| | - Christine Mancini
- Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, Department of Health and Human Services, National Institutes of Health, Building 10, Room B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061, USA
| | - Anders M Greve
- Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, Department of Health and Human Services, National Institutes of Health, Building 10, Room B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061, USA
| | - Lars Køber
- Department of Medicine B, The Heart Center, Rigshospitalet, Copenhagen, Denmark
| | - Jens Jakob Thune
- Department of Medicine B, The Heart Center, Rigshospitalet, Copenhagen, Denmark
| | - Peter Kellman
- Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, Department of Health and Human Services, National Institutes of Health, Building 10, Room B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061, USA
| | - Andrew E Arai
- Laboratory for Advanced Cardiovascular Imaging, National Heart, Lung, and Blood Institute, Department of Health and Human Services, National Institutes of Health, Building 10, Room B1D416, MSC 1061, 10 Center Drive, Bethesda, MD 20892-1061, USA
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