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Myocardial Characterization Using Dual-Energy CT in Doxorubicin-Induced DCM: Comparison With CMR T1-Mapping and Histology in a Rabbit Model
DC Field | Value | Language |
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dc.contributor.author | 김영진 | - |
dc.contributor.author | 박철환 | - |
dc.contributor.author | 서영주 | - |
dc.contributor.author | 이혜정 | - |
dc.contributor.author | 최병욱 | - |
dc.contributor.author | 허진 | - |
dc.contributor.author | 홍유진 | - |
dc.date.accessioned | 2018-01-23T05:51:58Z | - |
dc.date.available | 2018-01-23T05:51:58Z | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 1936-878X | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/155743 | - |
dc.description.abstract | OBJECTIVES: This study sought to evaluate whether patterns of myocardial change in doxorubicin-induced dilated cardiomyopathy determined using dual-energy computed tomography (CT) were similar to characterization by extracellular volume fraction (ECV) using cardiac magnetic resonance (CMR) T1-mapping and collagen volume fraction (CVF) measured using histology. BACKGROUND: Anthracycline chemoagents are effective against a wide range of malignant conditions. However, cardiotoxicity is a well-known adverse effect of these drugs. Dual-energy CT could be as useful as magnetic resonance (MR) to evaluate myocardial change in anthracycline-induced cardiotoxicity. METHODS: A dilated cardiomyopathy rabbit model was generated by injecting 11 adult New Zealand rabbits with 1.0 mg/kg of doxorubicin twice weekly for 16 weeks. Contrast-enhanced dual-energy CT and pre-contrast and post-contrast T1-mapping CMR using a prototype modified Look-Locker inversion recovery on a clinical 3-T scanner were performed on 15 rabbits, including 4 control animals, to calculate ECV at baseline, and at 6, 12, and 16 weeks after doxorubicin administration. RESULTS: The mean ECV values (%) on CT and CMR at 6, 12, and 16 weeks after modeling were significantly higher than those measured at baseline (CT ECV: 35.3%, 41.9%, 42.1% vs. 28.5%; MR ECV: 32.6%, 35.8%, 41.3% vs. 28.8%, respectively; all p < 0.001). CT ECV and MR ECV values were well correlated (r = 0.888; p < 0.001). Both were well correlated with CVF on histology (CT ECV vs. CVF, r = 0.925, p < 0.001 and MR ECV vs. CVF, r = 0.961, p < 0.001, respectively). CONCLUSIONS: Dual-energy CT ECV correlated well with CMR and histology. Dual-energy CT is useful for characterizing doxorubicin-induced cardiomyopathy by measuring ECV fraction; however, further technical improvements are desirable to lower motion artifact and improve image quality of the iodine map. | - |
dc.description.statementOfResponsibility | open | - |
dc.relation.isPartOf | JACC-CARDIOVASCULAR IMAGING | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.title | Myocardial Characterization Using Dual-Energy CT in Doxorubicin-Induced DCM: Comparison With CMR T1-Mapping and Histology in a Rabbit Model | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine | - |
dc.contributor.department | Dept. of Radiology | - |
dc.contributor.googleauthor | Yoo Jin Hong | - |
dc.contributor.googleauthor | Tai Kyung Kim | - |
dc.contributor.googleauthor | Donghyun Hong | - |
dc.contributor.googleauthor | Chul Hwan Park | - |
dc.contributor.googleauthor | Sae Jong Yoo | - |
dc.contributor.googleauthor | Mary Ellen Wickum | - |
dc.contributor.googleauthor | Jin Hur | - |
dc.contributor.googleauthor | Hye-Jeong Lee | - |
dc.contributor.googleauthor | Young Jin Kim | - |
dc.contributor.googleauthor | Young Joo Suh | - |
dc.contributor.googleauthor | Andreas Greiser | - |
dc.contributor.googleauthor | Mun Young Paek | - |
dc.contributor.googleauthor | Byoung Wook Choi | - |
dc.identifier.doi | 10.1016/j.jcmg.2015.12.018 | - |
dc.contributor.localId | A00727 | - |
dc.contributor.localId | A01722 | - |
dc.contributor.localId | A01892 | - |
dc.contributor.localId | A03320 | - |
dc.contributor.localId | A04059 | - |
dc.contributor.localId | A04370 | - |
dc.contributor.localId | A04422 | - |
dc.relation.journalcode | J01192 | - |
dc.identifier.eissn | 1876-7591 | - |
dc.identifier.pmid | 27236517 | - |
dc.contributor.alternativeName | Kim, Young Jin | - |
dc.contributor.alternativeName | Park, Chul Hwan | - |
dc.contributor.alternativeName | Suh, Young Joo | - |
dc.contributor.alternativeName | Lee, Hye Jeong | - |
dc.contributor.alternativeName | Choi, Byoung Wook | - |
dc.contributor.alternativeName | Hur, Jin | - |
dc.contributor.alternativeName | Hong, Yoo Jin | - |
dc.contributor.affiliatedAuthor | Kim, Young Jin | - |
dc.contributor.affiliatedAuthor | Park, Chul Hwan | - |
dc.contributor.affiliatedAuthor | Suh, Young Joo | - |
dc.contributor.affiliatedAuthor | Lee, Hye Jeong | - |
dc.contributor.affiliatedAuthor | Choi, Byoung Wook | - |
dc.contributor.affiliatedAuthor | Hur, Jin | - |
dc.contributor.affiliatedAuthor | Hong, Yoo Jin | - |
dc.citation.volume | 9 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 836 | - |
dc.citation.endPage | 845 | - |
dc.identifier.bibliographicCitation | JACC-CARDIOVASCULAR IMAGING, Vol.9(7) : 836-845, 2016 | - |
dc.identifier.rimsid | 48197 | - |
dc.type.rims | ART | - |
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