Prognostic importance of ultrasound BI-RADS classification in breast cancer patients
- Authors
- Kim, Ju-Yeon; Jung, Eun Jung; Park, Taejin; Jeong, Sang-Ho; Jeong, Chi-Young; Ju, Young-Tae; Lee, Young-Joon; Hong, Soon-Chan; Ha, Woo-Song; Choi, Sang-Kyung
- Issue Date
- May-2015
- Publisher
- Oxford University Press
- Keywords
- breast cancer; BI-RADS; ultrasound
- Citation
- Japanese Journal of Clinical Oncology, v.45, no.5, pp 411 - 415
- Pages
- 5
- Indexed
- SCIE
SCOPUS
- Journal Title
- Japanese Journal of Clinical Oncology
- Volume
- 45
- Number
- 5
- Start Page
- 411
- End Page
- 415
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/17288
- DOI
- 10.1093/jjco/hyv018
- ISSN
- 0368-2811
1465-3621
- 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.
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