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Preoperative magnetic resonance imaging-based prognostic model for mass-forming intrahepatic cholangiocarcinoma

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dc.contributor.author박미숙-
dc.contributor.author이형진-
dc.contributor.author조은석-
dc.contributor.author한경화-
dc.date.accessioned2022-08-23T00:43:44Z-
dc.date.available2022-08-23T00:43:44Z-
dc.date.issued2022-04-
dc.identifier.issn1478-3223-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/189590-
dc.description.abstractBackground & aims: As most staging systems for intrahepatic cholangiocarcinoma (iCCA) are based on pathological results, preoperative prognostic prediction is limited. This study aimed to develop and validate a prognostic model for the overall survival of patients with mass-forming iCCA (MF-iCCA) using preoperative magnetic resonance imaging (MRI) and clinical findings. Methods: We enrolled a total of 316 patients who underwent preoperative MRI and surgical resection for treatment-naive MF-iCCA from six institutions, between January 2009 and December 2015. The subjects were randomly assigned to a training set (n = 208) or validation set (n = 108). The MRIs were independently reviewed by three abdominal radiologists. Using MRI and clinical findings, an MRI prognostic score was established. We compared the discrimination performance of MRI prognostic scores with those of conventional pathological staging systems. Results: We developed an MRI prognostic score consisting of serum CA19-9 and three MRI findings (tumour multiplicity, lymph node metastasis and bile duct invasion). The MRI prognostic score demonstrated good discrimination performance in both the training set (C-index, 0.738; 95% confidence interval [CI], 0.698-0.780) and validation set (C-index, 0.605; 95% CI, 0.526-0.680). In the validation set, MRI prognostic score showed no significant difference with AJCC 8th TNM stage, MEGNA score and Nathan's stage. Conclusions: Our MRI prognostic score for overall survival of MF-iCCA showed comparable discriminatory performance with pathological staging systems and might be used to determine an optimal treatment strategy.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherWiley-Blackwell-
dc.relation.isPartOfLIVER INTERNATIONAL-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHBile Duct Neoplasms* / diagnostic imaging-
dc.subject.MESHBile Duct Neoplasms* / surgery-
dc.subject.MESHBile Ducts, Intrahepatic / diagnostic imaging-
dc.subject.MESHBile Ducts, Intrahepatic / pathology-
dc.subject.MESHCholangiocarcinoma* / diagnostic imaging-
dc.subject.MESHCholangiocarcinoma* / surgery-
dc.subject.MESHHumans-
dc.subject.MESHMagnetic Resonance Imaging-
dc.subject.MESHNeoplasm Staging-
dc.subject.MESHPrognosis-
dc.subject.MESHRetrospective Studies-
dc.titlePreoperative magnetic resonance imaging-based prognostic model for mass-forming intrahepatic cholangiocarcinoma-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorHyungjin Rhee-
dc.contributor.googleauthorSang Hyun Choi-
dc.contributor.googleauthorJi Hoon Park-
dc.contributor.googleauthorEun-Suk Cho-
dc.contributor.googleauthorSuk-Keu Yeom-
dc.contributor.googleauthorSumi Park-
dc.contributor.googleauthorKyunghwa Han-
dc.contributor.googleauthorSeung Soo Lee-
dc.contributor.googleauthorMi-Suk Park-
dc.identifier.doi10.1111/liv.15196-
dc.contributor.localIdA01463-
dc.contributor.localIdA05171-
dc.contributor.localIdA03881-
dc.relation.journalcodeJ02171-
dc.identifier.eissn1478-3231-
dc.identifier.pmid35152534-
dc.identifier.urlhttps://onlinelibrary.wiley.com/doi/10.1111/liv.15196-
dc.subject.keywordbile duct invasion-
dc.subject.keywordcarbohydrate antigen 19-9-
dc.subject.keywordlymph node metastasis-
dc.subject.keywordmultiplicity-
dc.contributor.alternativeNamePark, Mi Sook-
dc.contributor.affiliatedAuthor박미숙-
dc.contributor.affiliatedAuthor이형진-
dc.contributor.affiliatedAuthor조은석-
dc.citation.volume42-
dc.citation.number4-
dc.citation.startPage930-
dc.citation.endPage941-
dc.identifier.bibliographicCitationLIVER INTERNATIONAL, Vol.42(4) : 930-941, 2022-04-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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