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Can measurement of apparent diffusion coefficient before treatment predict the response to uterine artery embolization for adenomyosis?

DC FieldValueLanguage
dc.contributor.author김경민-
dc.contributor.author김만득-
dc.contributor.author박성일-
dc.contributor.author원정윤-
dc.contributor.author이도연-
dc.contributor.author이신재-
dc.contributor.author정대철-
dc.contributor.author원종윤-
dc.contributor.author박예원-
dc.date.accessioned2016-02-04T11:19:45Z-
dc.date.available2016-02-04T11:19:45Z-
dc.date.issued2015-
dc.identifier.issn0938-7994-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/140180-
dc.description.abstractOBJECTIVES: To determine the usefulness of the apparent diffusion coefficient (ADC) in predicting response to uterine artery embolization (UAE) for symptomatic adenomyosis. METHODS: A prospective study was performed on 25 patients who underwent diffusion-weighted (DW) magnetic resonance imaging (MRI) before UAE between June 2011 and December 2012. All patients underwent 3-month follow-up MRI after UAE using non-spherical polyvinyl alcohol (PVA) particles ranging from 150 to 500 μm. Quantitative measurement of the ADC was performed for each adenomyosis. Complete response and incomplete response were defined as ≥ 90 % or < 90 %, respectively, of the non-perfusion area with adenomyosis at the follow-up MRI. The ADC values were compared between patients who achieved complete or incomplete response which was assessed according to the MRI findings after UAE. RESULTS: Nineteen patients showed complete response, and six showed incomplete response. The ADC value ranged from 0.842 to 1.346 × 10(-3) mm(2)/s (mean 1.075 ± 0.117). The mean ADC was 1.043 ± 0.237 in the complete response group and 1.176 ± 0.429 in the incomplete response group (0.012). Using a threshold of <1.147 × 10(-3) mm(2)/s, the sensitivity and specificity of the ADC to predict success after UAE were 83.3 % and 84.2 %. CONCLUSION: The ADC of adenomyosis may potentially predict a successful response to UAE for adenomyosis. KEY POINTS: • Pre-procedural MRI might help clinicians predict response of UAE in adenomyosis • ADC might help predict UAE outcomes in adenomyosis • MR predictors might be used to counsel patients with symptomatic adenomyosis.-
dc.description.statementOfResponsibilityopen-
dc.relation.isPartOfEUROPEAN RADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdenomyosis/therapy*-
dc.subject.MESHAdult-
dc.subject.MESHContrast Media-
dc.subject.MESHDiffusion Magnetic Resonance Imaging/methods*-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHImage Enhancement-
dc.subject.MESHMeglumine-
dc.subject.MESHMyometrium/pathology-
dc.subject.MESHOrganometallic Compounds-
dc.subject.MESHPolyvinyl Alcohol/therapeutic use-
dc.subject.MESHProspective Studies-
dc.subject.MESHSensitivity and Specificity-
dc.subject.MESHTreatment Outcome-
dc.subject.MESHUterine Artery Embolization/methods*-
dc.titleCan measurement of apparent diffusion coefficient before treatment predict the response to uterine artery embolization for adenomyosis?-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학)-
dc.contributor.googleauthorYaewon Park-
dc.contributor.googleauthorMan Deuk Kim-
dc.contributor.googleauthorDae Chul Jung-
dc.contributor.googleauthorShin Jae Lee-
dc.contributor.googleauthorGyoungmin Kim-
dc.contributor.googleauthorSung Il Park-
dc.contributor.googleauthorJong Yun Won-
dc.contributor.googleauthorDo Yun Lee-
dc.identifier.doi10.1007/s00330-014-3504-3-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA02443-
dc.contributor.localIdA00296-
dc.contributor.localIdA00420-
dc.contributor.localIdA01510-
dc.contributor.localIdA02718-
dc.contributor.localIdA02944-
dc.contributor.localIdA03592-
dc.relation.journalcodeJ00851-
dc.identifier.eissn1432-1084-
dc.identifier.pmid25481638-
dc.identifier.urlhttp://link.springer.com/article/10.1007%2Fs00330-014-3504-3-
dc.subject.keywordUterine arterial embolization-
dc.subject.keywordAdenomyosis-
dc.subject.keywordMagnetic resonance-
dc.subject.keywordApparent diffusion coefficient-
dc.subject.keywordPrediction of improvement-
dc.contributor.alternativeNameKim, Gyoung Min-
dc.contributor.alternativeNameKim, Man Deuk-
dc.contributor.alternativeNamePark, Sung Il-
dc.contributor.alternativeNameWon, Jong Yun-
dc.contributor.alternativeNameLee, Do Yun-
dc.contributor.alternativeNameLee, Shin Jae-
dc.contributor.alternativeNameJung, Dae Chul-
dc.contributor.affiliatedAuthorWon, Jong Yun-
dc.contributor.affiliatedAuthorKim, Gyoung Min-
dc.contributor.affiliatedAuthorKim, Man Deuk-
dc.contributor.affiliatedAuthorPark, Sung Il-
dc.contributor.affiliatedAuthorLee, Do Yun-
dc.contributor.affiliatedAuthorLee, Shin Jae-
dc.contributor.affiliatedAuthorJung, Dae Chul-
dc.rights.accessRightsnot free-
dc.citation.volume25-
dc.citation.number5-
dc.citation.startPage1303-
dc.citation.endPage1309-
dc.identifier.bibliographicCitationEUROPEAN RADIOLOGY, Vol.25(5) : 1303-1309, 2015-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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