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Cited 21 times in

Single Hepatocellular Carcinoma: Preoperative MR Imaging to Predict Early Recurrence after Curative Resection

DC FieldValueLanguage
dc.contributor.author김명진-
dc.contributor.author박영년-
dc.contributor.author안찬식-
dc.contributor.author이형진-
dc.contributor.author정용은-
dc.date.accessioned2016-02-04T12:00:21Z-
dc.date.available2016-02-04T12:00:21Z-
dc.date.issued2015-
dc.identifier.issn0033-8419-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/141681-
dc.description.abstractPURPOSE: To identify magnetic resonance (MR) imaging features that enable prediction of early recurrence (<2 years) after curative resection of hepatocellular carcinoma (HCC) and to derive a preoperative prediction model. MATERIALS AND METHODS: This retrospective study was approved by the institutional review board. The requirement to obtain written informed consent was waived. A total of 268 patients who underwent hepatic resection for a single HCC from January 2008 to August 2011 were divided into two cohorts: a training cohort, which was used to derive a prediction model (n = 187), and a validation cohort (n = 81). All MR images from the training cohort were reviewed by two radiologists. A prediction model was constructed by using MR imaging features that were independently associated with early recurrence with use of multiple logistic regression analysis. The performance of the prediction model in the validation cohort was evaluated with respect to discrimination (ie, whether the relative ranking of individual predictions of subsequent early recurrence is in the correct order). RESULTS: In the training cohort, four MR imaging features were independently associated with early recurrence: rim enhancement (odds ratio [OR] = 3.83; 95% confidence interval [CI]: 1.39, 10.52), peritumoral parenchymal enhancement in the arterial phase (OR = 2.64; 95% CI: 1.27, 5.46), satellite nodule (OR = 4.07; 95% CI: 1.09, 15.21), and tumor size (OR = 1.66; 95% CI: 1.31, 2.09). A prediction model derived from these variables showed an area under the receiver operating characteristic curve (AUC) of 0.788 in the prediction of the risk of early recurrence in the training cohort. When applied to the validation cohort, this model showed good discrimination (AUC, 0.783). CONCLUSION: The prediction model derived from rim enhancement, peritumoral parenchymal enhancement, satellite nodule, and tumor size can be used preoperatively to estimate the risk of early recurrence after resection of a single HCC.-
dc.description.statementOfResponsibilityopen-
dc.format.extent433~443-
dc.relation.isPartOfRadiology-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleSingle Hepatocellular Carcinoma: Preoperative MR Imaging to Predict Early Recurrence after Curative Resection-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Pathology (병리학)-
dc.contributor.googleauthorChansik An-
dc.contributor.googleauthorDong Wook Kim-
dc.contributor.googleauthorYoung-Nyun Park-
dc.contributor.googleauthorYong Eun Chung-
dc.contributor.googleauthorHyungjin Rhee-
dc.contributor.googleauthorMyeong-Jin Kim-
dc.identifier.doi10.1148/radiol.15142394-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA02268-
dc.contributor.localIdA00426-
dc.contributor.localIdA01563-
dc.contributor.localIdA03662-
dc.contributor.localIdA05171-
dc.relation.journalcodeJ02596-
dc.identifier.urlhttp://pubs.rsna.org/doi/abs/10.1148/radiol.15142394-
dc.contributor.alternativeNameKim, Myeong Jin-
dc.contributor.alternativeNamePark, Young Nyun-
dc.contributor.alternativeNameAn, Chan Sik-
dc.contributor.alternativeNameRhee, Hyung Jin-
dc.contributor.alternativeNameChung, Yong Eun-
dc.contributor.affiliatedAuthorAn, Chan Sik-
dc.contributor.affiliatedAuthorKim, Myeong Jin-
dc.contributor.affiliatedAuthorPark, Young Nyun-
dc.contributor.affiliatedAuthorChung, Yong Eun-
dc.contributor.affiliatedAuthorRhee, Hyungjin-
dc.rights.accessRightsnot free-
dc.citation.volume276-
dc.citation.number2-
dc.citation.startPage433-
dc.citation.endPage443-
dc.identifier.bibliographicCitationRadiology, Vol.276(2) : 433-443, 2015-
Appears in Collections:
1. Journal Papers (연구논문) > 1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실)
1. Journal Papers (연구논문) > 1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실)

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