Cited 10 times in
Multicenter Study on the Diagnostic Performance of Native-T1 Cardiac Magnetic Resonance of Chronic Myocardial Infarctions at 3T
DC Field | Value | Language |
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dc.contributor.author | 장혁재 | - |
dc.contributor.author | 이상은 | - |
dc.date.accessioned | 2020-09-29T01:15:12Z | - |
dc.date.available | 2020-09-29T01:15:12Z | - |
dc.date.issued | 2020-06 | - |
dc.identifier.issn | 1941-9651 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/179453 | - |
dc.description.abstract | Background: Preclinical studies and pilot patient studies have shown that chronic infarctions can be detected and characterized from cardiac magnetic resonance without gadolinium-based contrast agents using native-T1 maps at 3T. We aimed to investigate the diagnostic capacity of this approach for characterizing chronic myocardial infarctions (MIs) in a multi-center setting. Methods: Patients with a prior MI (n=105) were recruited at 3 different medical centers and were imaged with native-T1 mapping and late gadolinium enhancement (LGE) at 3T. Infarct location, size, and transmurality were determined from native-T1 maps and LGE. Sensitivity, specificity, receiver-operating characteristic metrics, and inter- and intraobserver variabilities were assessed relative to LGE. Results: Across all subjects, T1 of MI territory was 1621±110 ms, and remote territory was 1225±75 ms. Sensitivity, specificity, and area under curve for detecting MI location based on native-T1 mapping relative to LGE were 88%, 92%, and 0.93, respectively. Native-T1 maps were not different for measuring infarct size (native-T1 maps: 12.1±7.5%; LGE: 11.8±7.2%, P=0.82) and were in agreement with LGE (R2=0.92, bias, 0.09±2.6%). Corresponding inter- and intraobserver assessments were also highly correlated (interobserver: R2=0.90, bias, 0.18±2.4%; and intraobserver: R2=0.91, bias, 0.28±2.1%). Native T1 maps were not different for measuring MI transmurality (native-T1 maps: 49.1±15.8%; LGE: 47.2±19.0%, P=0.56) and showed agreement (R2=0.71; bias, 1.32±10.2%). Corresponding inter- and intraobserver assessments were also in agreement (interobserver: R2=0.81, bias, 0.1±9.4%; and intraobserver: R2=0.91, bias, 0.28±2.1%, respectively). While the overall accuracy for detecting MI with native-T1 maps at 3T was high, logistic regression analysis showed that MI location was a prominent confounder. Conclusions: Native-T1 mapping can be used to image chronic MI with high degree of accuracy, and as such, it is a viable alternative for scar imaging in patients with chronic MI who are contraindicated for LGE. Technical advancements may be needed to overcome the imaging confounders that currently limit native-T1 mapping from reaching equivalent detection levels as LGE. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Lippincott Williams & Wilkins | - |
dc.relation.isPartOf | CIRCULATION-CARDIOVASCULAR IMAGING | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Multicenter Study on the Diagnostic Performance of Native-T1 Cardiac Magnetic Resonance of Chronic Myocardial Infarctions at 3T | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Internal Medicine (내과학교실) | - |
dc.contributor.googleauthor | Guan Wang | - |
dc.contributor.googleauthor | Sang-Eun Lee | - |
dc.contributor.googleauthor | Qi Yang | - |
dc.contributor.googleauthor | Vignesh Sadras | - |
dc.contributor.googleauthor | Suraj Patel | - |
dc.contributor.googleauthor | Hsin-Jung Yang | - |
dc.contributor.googleauthor | Behzad Sharif | - |
dc.contributor.googleauthor | Avinash Kali | - |
dc.contributor.googleauthor | Ivan Cokic | - |
dc.contributor.googleauthor | Guoxi Xie | - |
dc.contributor.googleauthor | Mourad Tighiouart | - |
dc.contributor.googleauthor | Jeremy Collins | - |
dc.contributor.googleauthor | Debiao Li | - |
dc.contributor.googleauthor | Daniel S Berman | - |
dc.contributor.googleauthor | Hyuk-Jae Chang | - |
dc.contributor.googleauthor | Rohan Dharmakumar | - |
dc.identifier.doi | 10.1161/CIRCIMAGING.119.009894 | - |
dc.contributor.localId | A03490 | - |
dc.relation.journalcode | J00538 | - |
dc.identifier.eissn | 1942-0080 | - |
dc.identifier.pmid | 32507020 | - |
dc.identifier.url | https://www.ahajournals.org/doi/full/10.1161/CIRCIMAGING.119.009894 | - |
dc.subject.keyword | area under curve | - |
dc.subject.keyword | contrast media | - |
dc.subject.keyword | gadolinium | - |
dc.subject.keyword | magnetic resonance imaging | - |
dc.subject.keyword | myocardial infarction | - |
dc.contributor.alternativeName | Chang, Hyuck Jae | - |
dc.contributor.affiliatedAuthor | 장혁재 | - |
dc.citation.volume | 13 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | e009894 | - |
dc.identifier.bibliographicCitation | CIRCULATION-CARDIOVASCULAR IMAGING, Vol.13(6) : e009894, 2020-06 | - |
dc.identifier.rimsid | 67288 | - |
dc.type.rims | ART | - |
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