Cited 75 times in
Native T1 Mapping by 3-T CMR Imaging for Characterization of Chronic Myocardial Infarctions
DC Field | Value | Language |
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dc.contributor.author | 최의영 | - |
dc.contributor.author | 김영진 | - |
dc.contributor.author | 장혁재 | - |
dc.contributor.author | 최병욱 | - |
dc.date.accessioned | 2016-02-04T11:49:23Z | - |
dc.date.available | 2016-02-04T11:49:23Z | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 1936-878X | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/141282 | - |
dc.description.abstract | OBJECTIVES: The purpose of this study was to investigate whether native T1 maps at 3-T can reliably characterize chronic myocardial infarctions (MIs) in patients with prior ST-segment elevation myocardial infarction (STEMI) or non-ST-segment elevation myocardial infarction (NSTEMI). BACKGROUND: Late gadolinium enhancement (LGE) cardiac magnetic resonance is the gold standard for characterizing chronic MIs, but it is contraindicated in patients with end-stage chronic kidney disease. METHODS: Native T1 and LGE images were acquired at 3-T in patients with prior STEMI (n = 13) and NSTEMI (n = 12) at a median of 13.6 years post-MI. Infarct location, size, and transmurality were measured using mean ± 5 SDs thresholding criterion from LGE images and T1 maps and compared against one another. Independent reviewers assessed visual conspicuity of MIs on LGE images and T1 maps. RESULTS: Native T1 maps and LGE images were not different for measuring infarct size (STEMI: p = 0.46; NSTEMI: p = 0.27) and transmurality (STEMI: p = 0.13; NSTEMI: p = 0.21) using thresholding criterion. Using thresholding criterion, good agreement was observed between LGE images and T1 maps for measuring infarct size (STEMI: bias = 0.6 ± 3.1%; R(2) = 0.93; NSTEMI: bias = -0.4 ± 4.4%; R(2) = 0.85) and transmurality (STEMI: bias = 2.0 ± 4.2%; R(2) = 0.89; NSTEMI: bias = -2.7 ± 7.9%; R(2) = 0.68). Sensitivity and specificity of T1 maps for detecting chronic MIs based on thresholding criterion were 89% and 98%, respectively (STEMI), and 87% and 95%, respectively (NSTEMI). Relative to LGE images, the mean visual conspicuity score for detecting chronic MIs was significantly lower for T1 maps (p < 0.001 for both cases). Median infarct-to-remote myocardium contrast-to-noise ratio was 2.5-fold higher for LGE images relative to T1 maps (p < 0.001). Sensitivity and specificity of T1 maps for visual detection were 60% and 86%, respectively (STEMI), and 64% and 91% (NSTEMI), respectively. CONCLUSIONS: Chronic MIs in STEMI and NSTEMI patients can be reliably characterized using threshold-based detection on native T1 maps at 3-T. Visual detection of chronic MIs on native T1 maps in both patient populations has high specificity, but modest sensitivity. | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | 1019~1030 | - |
dc.relation.isPartOf | JACC-CARDIOVASCULAR IMAGING | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.title | Native T1 Mapping by 3-T CMR Imaging for Characterization of Chronic Myocardial Infarctions | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Internal Medicine (내과학) | - |
dc.contributor.googleauthor | Avinash Kali | - |
dc.contributor.googleauthor | Eui-Young Choi | - |
dc.contributor.googleauthor | Behzad Sharif | - |
dc.contributor.googleauthor | Young Jin Kim | - |
dc.contributor.googleauthor | Xiaoming Bi | - |
dc.contributor.googleauthor | Bruce Spottiswoode | - |
dc.contributor.googleauthor | Ivan Cokic | - |
dc.contributor.googleauthor | Hsin-Jung Yang | - |
dc.contributor.googleauthor | Mourad Tighiouart | - |
dc.contributor.googleauthor | Antonio Hernandez Conte | - |
dc.contributor.googleauthor | Debiao Li | - |
dc.contributor.googleauthor | Daniel S. Berman | - |
dc.contributor.googleauthor | Byoung Wook Choi | - |
dc.contributor.googleauthor | Hyuk-Jae Chang | - |
dc.contributor.googleauthor | Rohan Dharmakumar | - |
dc.identifier.doi | 10.1016/j.jcmg.2015.04.018 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A04165 | - |
dc.contributor.localId | A03490 | - |
dc.contributor.localId | A04059 | - |
dc.contributor.localId | A00727 | - |
dc.relation.journalcode | J01192 | - |
dc.identifier.eissn | 1876-7591 | - |
dc.identifier.url | http://www.sciencedirect.com/science/article/pii/S1936878X15004258 | - |
dc.subject.keyword | chronic myocardial infarction | - |
dc.subject.keyword | native T1 mapping | - |
dc.subject.keyword | viability imaging | - |
dc.contributor.alternativeName | Choi, Eui Young | - |
dc.contributor.alternativeName | Kim, Young Jin | - |
dc.contributor.alternativeName | Chang, Hyuck Jae | - |
dc.contributor.alternativeName | Choi, Byoung Wook | - |
dc.contributor.affiliatedAuthor | Choi, Eui Young | - |
dc.contributor.affiliatedAuthor | Chang, Hyuck Jae | - |
dc.contributor.affiliatedAuthor | Choi, Byoung Wook | - |
dc.contributor.affiliatedAuthor | Kim, Young Jin | - |
dc.rights.accessRights | not free | - |
dc.citation.volume | 8 | - |
dc.citation.number | 9 | - |
dc.citation.startPage | 1019 | - |
dc.citation.endPage | 1030 | - |
dc.identifier.bibliographicCitation | JACC-CARDIOVASCULAR IMAGING, Vol.8(9) : 1019-1030, 2015 | - |
dc.identifier.rimsid | 31454 | - |
dc.type.rims | ART | - |
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