Detailed Information

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

Validation of Feasibility of Magnetic Resonance Imaging for the Measurement of Depth of Tumor Invasion in Distal Bile Duct Cancer According to the New American Joint Committee on Cancer Staging System

Full metadata record
DC Field Value Language
dc.contributor.authorHan, Na Yeon-
dc.contributor.authorKim, Joo Young-
dc.contributor.authorKim, Min Ju-
dc.contributor.authorPark, Beom Jin-
dc.contributor.authorSung, Deuk Jae-
dc.contributor.authorSim, Ki Choon-
dc.contributor.authorCho, Sung Bum-
dc.contributor.authorKim, Dong Sik-
dc.date.accessioned2021-09-02T22:15:31Z-
dc.date.available2021-09-02T22:15:31Z-
dc.date.created2021-06-16-
dc.date.issued2017-12-
dc.identifier.issn1076-6332-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/81293-
dc.description.abstractRationale and Objectives: This study aimed to develop and validate a method for measuring the depth of tumor invasion (Dol) using magnetic resonance imaging (MRI) and to investigate the diagnostic performance of the measured Dol for stratifying tumor (T) classification in patients with distal bile duct cancer according to the new American Joint Committee on Cancer staging system. Materials and Methods: Fifty-four patients (30 men and 24 women; age range, 43-81 years) with distal bile duct cancer were enrolled. A study coordinator first developed a "provisional method" for measuring Dol on T2-weighted MRI. Subsequently, after compensating for defects, the "improved method" was developed. Two reviewers independently measured Dol and assessed its correlations with the histopathologic reference standard using intraclass correlation coefficient (ICC). The study population was grouped according to the Dol for T classification based on the new staging system for evaluation of diagnostic predictive values. Results: The ICC values between the radiologic and the histopathologic Dol were calculated. Using the "improved method," the ICC for the coordinator's Dol was very good (ICC, 0.885), which was a significantly higher value than that obtained using the "provisional method" (ICC, 0.501, P = .00000); and for two reviewers' Dols, the ICC values were good (ICC, 0.752 and 0.784, respectively). The overall accuracy of MRI for stratifying bile duct tumors using Dol was 87.0% and 85.2%, respectively. Conclusions: This newly developed method reliably measured Dol on T2-weighted MRI and can be used for preoperative T classification of patients with distal bile duct cancer according to the new staging system. (C) 2017 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER SCIENCE INC-
dc.subjectCLASSIFICATION PROBLEMS-
dc.subjectT-CLASSIFICATION-
dc.subjectCHOLANGIOCARCINOMA-
dc.subjectCARCINOMA-
dc.subjectMR-
dc.titleValidation of Feasibility of Magnetic Resonance Imaging for the Measurement of Depth of Tumor Invasion in Distal Bile Duct Cancer According to the New American Joint Committee on Cancer Staging System-
dc.typeArticle-
dc.contributor.affiliatedAuthorHan, Na Yeon-
dc.contributor.affiliatedAuthorKim, Min Ju-
dc.contributor.affiliatedAuthorPark, Beom Jin-
dc.contributor.affiliatedAuthorSim, Ki Choon-
dc.contributor.affiliatedAuthorCho, Sung Bum-
dc.contributor.affiliatedAuthorKim, Dong Sik-
dc.identifier.doi10.1016/j.acra.2017.06.011-
dc.identifier.scopusid2-s2.0-85026679158-
dc.identifier.wosid000418206100008-
dc.identifier.bibliographicCitationACADEMIC RADIOLOGY, v.24, no.12, pp.1526 - 1534-
dc.relation.isPartOfACADEMIC RADIOLOGY-
dc.citation.titleACADEMIC RADIOLOGY-
dc.citation.volume24-
dc.citation.number12-
dc.citation.startPage1526-
dc.citation.endPage1534-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.subject.keywordPlusCLASSIFICATION PROBLEMS-
dc.subject.keywordPlusT-CLASSIFICATION-
dc.subject.keywordPlusCHOLANGIOCARCINOMA-
dc.subject.keywordPlusCARCINOMA-
dc.subject.keywordPlusMR-
dc.subject.keywordAuthorBile duct neoplasms-
dc.subject.keywordAuthormagnetic resonance imaging-
dc.subject.keywordAuthortumor staging-
dc.subject.keywordAuthorneoplasm invasion-
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
Graduate School > Department of Biomedical Sciences > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Cho, Sung Bum photo

Cho, Sung Bum
의과대학 (의학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE