Cited 14 time in
Prognostic importance of ultrasound BI-RADS classification in breast cancer patients
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Ju-Yeon | - |
| dc.contributor.author | Jung, Eun Jung | - |
| dc.contributor.author | Park, Taejin | - |
| dc.contributor.author | Jeong, Sang-Ho | - |
| dc.contributor.author | Jeong, Chi-Young | - |
| dc.contributor.author | Ju, Young-Tae | - |
| dc.contributor.author | Lee, Young-Joon | - |
| dc.contributor.author | Hong, Soon-Chan | - |
| dc.contributor.author | Ha, Woo-Song | - |
| dc.contributor.author | Choi, Sang-Kyung | - |
| dc.date.accessioned | 2022-12-26T21:46:53Z | - |
| dc.date.available | 2022-12-26T21:46:53Z | - |
| dc.date.issued | 2015-05 | - |
| dc.identifier.issn | 0368-2811 | - |
| dc.identifier.issn | 1465-3621 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/17288 | - |
| dc.description.abstract | Objective: We investigated the prognostic importance of pre-operative Breast Imaging Reporting and Data System classification in ultrasound imaging. Methods: Histopathological differences and disease-free survival were analyzed in Breast Imaging Reporting and Data System classification subgroups. Univariate and multivariate analyses were used to identify the prognostic factors. Results: We identified 531 invasive breast cancer patients eligible for this study. Most patients classified as Breast Imaging Reporting and Data System 5 had large tumors and a higher rate of lymph node metastasis. However, hormonal receptor or HER-2 status did not differ according to Breast Imaging Reporting and Data System classification. During a median post-operative follow-up of 42.0 months, 43 patients were diagnosed with a disease-specific event. Disease-free survival was significantly lower in patients with Breast Imaging Reporting and Data System 5 than in patients with Breast Imaging Reporting and Data System 3-4. Subgroup analysis of patients with invasive breast cancer of Stage I showed that Breast Imaging Reporting and Data System 5 was an independent negative prognostic indicator of disease-free survival (hazard ratio 9.195; 95% confidence interval, 1.175-71.955; P = 0.035). Conclusions: Breast Imaging Reporting and Data System classification might be considered as prognostic factors especially in Stage I breast cancer. Further confirmatory studies are needed. | - |
| dc.format.extent | 5 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Oxford University Press | - |
| dc.title | Prognostic importance of ultrasound BI-RADS classification in breast cancer patients | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1093/jjco/hyv018 | - |
| dc.identifier.scopusid | 2-s2.0-84929997257 | - |
| dc.identifier.wosid | 000354725500003 | - |
| dc.identifier.bibliographicCitation | Japanese Journal of Clinical Oncology, v.45, no.5, pp 411 - 415 | - |
| dc.citation.title | Japanese Journal of Clinical Oncology | - |
| dc.citation.volume | 45 | - |
| dc.citation.number | 5 | - |
| dc.citation.startPage | 411 | - |
| dc.citation.endPage | 415 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Oncology | - |
| dc.relation.journalWebOfScienceCategory | Oncology | - |
| dc.subject.keywordPlus | SHEAR-WAVE ELASTOGRAPHY | - |
| dc.subject.keywordPlus | MAMMOGRAPHY | - |
| dc.subject.keywordPlus | VARIABILITY | - |
| dc.subject.keywordPlus | AGREEMENT | - |
| dc.subject.keywordPlus | LEXICON | - |
| dc.subject.keywordPlus | US | - |
| dc.subject.keywordAuthor | breast cancer | - |
| dc.subject.keywordAuthor | BI-RADS | - |
| dc.subject.keywordAuthor | ultrasound | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0532
COPYRIGHT 2022 GYEONGSANG NATIONAL UNIVERSITY LIBRARY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
