Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

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

Full metadata record
DC Field Value Language
dc.contributor.authorRhee, H.-
dc.contributor.authorChoi, S.H.-
dc.contributor.authorPark, J.H.-
dc.contributor.authorCho, E.-S.-
dc.contributor.authorYeom, S.-K.-
dc.contributor.authorPark, S.-
dc.contributor.authorHan, K.-
dc.contributor.authorLee, S.S.-
dc.contributor.authorPark, M.-S.-
dc.date.accessioned2022-03-03T02:42:29Z-
dc.date.available2022-03-03T02:42:29Z-
dc.date.created2022-03-03-
dc.date.issued2022-04-
dc.identifier.issn1478-3223-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/137574-
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. © 2022 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd-
dc.languageEnglish-
dc.language.isoen-
dc.publisherJohn Wiley and Sons Inc-
dc.titlePreoperative magnetic resonance imaging-based prognostic model for mass-forming intrahepatic cholangiocarcinoma-
dc.typeArticle-
dc.contributor.affiliatedAuthorYeom, S.-K.-
dc.identifier.doi10.1111/liv.15196-
dc.identifier.scopusid2-s2.0-85125105972-
dc.identifier.wosid000760301500001-
dc.identifier.bibliographicCitationLiver International, v.42, no.4, pp.930 - 941-
dc.relation.isPartOfLiver International-
dc.citation.titleLiver International-
dc.citation.volume42-
dc.citation.number4-
dc.citation.startPage930-
dc.citation.endPage941-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaGastroenterology & Hepatology-
dc.relation.journalWebOfScienceCategoryGastroenterology & Hepatology-
dc.subject.keywordPlusLONG-TERM SURVIVAL-
dc.subject.keywordPlusENHANCEMENT PATTERNS-
dc.subject.keywordPlusSTAGING SYSTEM-
dc.subject.keywordPlusFEATURES-
dc.subject.keywordPlusCLASSIFICATION-
dc.subject.keywordPlusNOMOGRAM-
dc.subject.keywordPlusCT-
dc.subject.keywordAuthorbile duct invasion-
dc.subject.keywordAuthorcarbohydrate antigen 19-9-
dc.subject.keywordAuthorlymph node metastasis-
dc.subject.keywordAuthormultiplicity-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of Medical Science > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Yeom, Suk Keu photo

Yeom, Suk Keu
의과대학 (의학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE