Matthew S Tong, Jeremy A Slivnick, Behzad Sharif, Han W Kim, Alistair A Young, Lilia M Sierra-Galan, Kanae Mukai, Afshin Farzaneh-Far, Sadeer Al-Kindi, Angel T Chan, George Dibu, Michael D Elliott, Vanessa M Ferreira, John Grizzard, Sebastian Kelle, Simon Lee, Maan Malahfji, Steffen E Petersen, Venkateshwar Polsani, Olga H Toro-Salazar, Kamran A Shaikh, Chetan Shenoy, Monvadi B Srichai, Jadranka Stojanovska, Qian Tao, Janet Wei, Jonathan W Weinsaft, W Benjamin Wince, Priya D Chudgar, Matthew Judd, Robert M Judd, Dipan J Shah, Orlando P Simonetti
{"title":"心血管磁共振学会注册人数为 15 万。","authors":"Matthew S Tong, Jeremy A Slivnick, Behzad Sharif, Han W Kim, Alistair A Young, Lilia M Sierra-Galan, Kanae Mukai, Afshin Farzaneh-Far, Sadeer Al-Kindi, Angel T Chan, George Dibu, Michael D Elliott, Vanessa M Ferreira, John Grizzard, Sebastian Kelle, Simon Lee, Maan Malahfji, Steffen E Petersen, Venkateshwar Polsani, Olga H Toro-Salazar, Kamran A Shaikh, Chetan Shenoy, Monvadi B Srichai, Jadranka Stojanovska, Qian Tao, Janet Wei, Jonathan W Weinsaft, W Benjamin Wince, Priya D Chudgar, Matthew Judd, Robert M Judd, Dipan J Shah, Orlando P Simonetti","doi":"10.1016/j.jocmr.2024.101055","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Cardiovascular magnetic resonance (CMR) is increasingly utilized to evaluate expanding cardiovascular conditions. The Society for Cardiovascular Magnetic Resonance (SCMR) Registry is a central repository for real-world clinical data to support cardiovascular research, including those relating to outcomes, quality improvement, and machine learning. The SCMR Registry is built on a regulatory-compliant, cloud-based infrastructure that houses searchable content and Digital Imaging and Communications in Medicine images. The goal of this study is to summarize the status of the SCMR Registry at 150,000 exams.</p><p><strong>Methods: </strong>The processes for data security, data submission, and research access are outlined. We interrogated the Registry and presented a summary of its contents.</p><p><strong>Results: </strong>Data were compiled from 154,458 CMR scans across 20 United States sites, containing 299,622,066 total images (∼100 terabytes of storage). Across reported values, the human subjects had an average age of 58 years (range 1 month to >90 years old), were 44% (63,070/145,275) female, 72% (69,766/98,008) Caucasian, and had a mortality rate of 8% (9,962/132,979). The most common indication was cardiomyopathy (35,369/131,581, 27%), and most frequently used current procedural terminology code was 75561 (57,195/162,901, 35%). Macrocyclic gadolinium-based contrast agents represented 89% (83,089/93,884) of contrast utilization after 2015. Short-axis cines were performed in 99% (76,859/77,871) of tagged scans, short-axis late gadolinium enhancement (LGE) in 66% (51,591/77,871), and stress perfusion sequences in 30% (23,241/77,871). Mortality data demonstrated increased mortality in patients with left ventricular ejection fraction <35%, the presence of wall motion abnormalities, stress perfusion defects, and infarct LGE, compared to those without these markers. There were 456,678 patient-years of all-cause mortality follow-up, with a median follow-up time of 3.6 years.</p><p><strong>Conclusion: </strong>The vision of the SCMR Registry is to promote evidence-based utilization of CMR through a collaborative effort by providing a web mechanism for centers to securely upload de-identified data and images for research, education, and quality control. The Registry quantifies changing practice over time and supports large-scale real-world multicenter observational studies of prognostic utility.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":null,"pages":null},"PeriodicalIF":4.2000,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11314894/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Society for Cardiovascular Magnetic Resonance Registry at 150,000.\",\"authors\":\"Matthew S Tong, Jeremy A Slivnick, Behzad Sharif, Han W Kim, Alistair A Young, Lilia M Sierra-Galan, Kanae Mukai, Afshin Farzaneh-Far, Sadeer Al-Kindi, Angel T Chan, George Dibu, Michael D Elliott, Vanessa M Ferreira, John Grizzard, Sebastian Kelle, Simon Lee, Maan Malahfji, Steffen E Petersen, Venkateshwar Polsani, Olga H Toro-Salazar, Kamran A Shaikh, Chetan Shenoy, Monvadi B Srichai, Jadranka Stojanovska, Qian Tao, Janet Wei, Jonathan W Weinsaft, W Benjamin Wince, Priya D Chudgar, Matthew Judd, Robert M Judd, Dipan J Shah, Orlando P Simonetti\",\"doi\":\"10.1016/j.jocmr.2024.101055\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Cardiovascular magnetic resonance (CMR) is increasingly utilized to evaluate expanding cardiovascular conditions. The Society for Cardiovascular Magnetic Resonance (SCMR) Registry is a central repository for real-world clinical data to support cardiovascular research, including those relating to outcomes, quality improvement, and machine learning. The SCMR Registry is built on a regulatory-compliant, cloud-based infrastructure that houses searchable content and Digital Imaging and Communications in Medicine images. The goal of this study is to summarize the status of the SCMR Registry at 150,000 exams.</p><p><strong>Methods: </strong>The processes for data security, data submission, and research access are outlined. We interrogated the Registry and presented a summary of its contents.</p><p><strong>Results: </strong>Data were compiled from 154,458 CMR scans across 20 United States sites, containing 299,622,066 total images (∼100 terabytes of storage). Across reported values, the human subjects had an average age of 58 years (range 1 month to >90 years old), were 44% (63,070/145,275) female, 72% (69,766/98,008) Caucasian, and had a mortality rate of 8% (9,962/132,979). The most common indication was cardiomyopathy (35,369/131,581, 27%), and most frequently used current procedural terminology code was 75561 (57,195/162,901, 35%). Macrocyclic gadolinium-based contrast agents represented 89% (83,089/93,884) of contrast utilization after 2015. Short-axis cines were performed in 99% (76,859/77,871) of tagged scans, short-axis late gadolinium enhancement (LGE) in 66% (51,591/77,871), and stress perfusion sequences in 30% (23,241/77,871). Mortality data demonstrated increased mortality in patients with left ventricular ejection fraction <35%, the presence of wall motion abnormalities, stress perfusion defects, and infarct LGE, compared to those without these markers. There were 456,678 patient-years of all-cause mortality follow-up, with a median follow-up time of 3.6 years.</p><p><strong>Conclusion: </strong>The vision of the SCMR Registry is to promote evidence-based utilization of CMR through a collaborative effort by providing a web mechanism for centers to securely upload de-identified data and images for research, education, and quality control. 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The Society for Cardiovascular Magnetic Resonance Registry at 150,000.
Background: Cardiovascular magnetic resonance (CMR) is increasingly utilized to evaluate expanding cardiovascular conditions. The Society for Cardiovascular Magnetic Resonance (SCMR) Registry is a central repository for real-world clinical data to support cardiovascular research, including those relating to outcomes, quality improvement, and machine learning. The SCMR Registry is built on a regulatory-compliant, cloud-based infrastructure that houses searchable content and Digital Imaging and Communications in Medicine images. The goal of this study is to summarize the status of the SCMR Registry at 150,000 exams.
Methods: The processes for data security, data submission, and research access are outlined. We interrogated the Registry and presented a summary of its contents.
Results: Data were compiled from 154,458 CMR scans across 20 United States sites, containing 299,622,066 total images (∼100 terabytes of storage). Across reported values, the human subjects had an average age of 58 years (range 1 month to >90 years old), were 44% (63,070/145,275) female, 72% (69,766/98,008) Caucasian, and had a mortality rate of 8% (9,962/132,979). The most common indication was cardiomyopathy (35,369/131,581, 27%), and most frequently used current procedural terminology code was 75561 (57,195/162,901, 35%). Macrocyclic gadolinium-based contrast agents represented 89% (83,089/93,884) of contrast utilization after 2015. Short-axis cines were performed in 99% (76,859/77,871) of tagged scans, short-axis late gadolinium enhancement (LGE) in 66% (51,591/77,871), and stress perfusion sequences in 30% (23,241/77,871). Mortality data demonstrated increased mortality in patients with left ventricular ejection fraction <35%, the presence of wall motion abnormalities, stress perfusion defects, and infarct LGE, compared to those without these markers. There were 456,678 patient-years of all-cause mortality follow-up, with a median follow-up time of 3.6 years.
Conclusion: The vision of the SCMR Registry is to promote evidence-based utilization of CMR through a collaborative effort by providing a web mechanism for centers to securely upload de-identified data and images for research, education, and quality control. The Registry quantifies changing practice over time and supports large-scale real-world multicenter observational studies of prognostic utility.
期刊介绍:
Journal of Cardiovascular Magnetic Resonance (JCMR) publishes high-quality articles on all aspects of basic, translational and clinical research on the design, development, manufacture, and evaluation of cardiovascular magnetic resonance (CMR) methods applied to the cardiovascular system. Topical areas include, but are not limited to:
New applications of magnetic resonance to improve the diagnostic strategies, risk stratification, characterization and management of diseases affecting the cardiovascular system.
New methods to enhance or accelerate image acquisition and data analysis.
Results of multicenter, or larger single-center studies that provide insight into the utility of CMR.
Basic biological perceptions derived by CMR methods.