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Correlation between high resolution dynamic MR features and prognostic factors in breast cancer
Cited 103 time in
Web of Science
Cited 108 time in Scopus
- Authors
- Issue Date
- 2008-02-07
- Publisher
- Korean Radiological Society
- Citation
- Korean J Radiol 2008;9(1):10-18
- Keywords
- Breast Neoplasms/*pathology ; Carcinoma, Ductal/*pathology ; Chi-Square Distribution ; Contrast Media ; Gadolinium DTPA/diagnostic use ; Image Processing, Computer-Assisted ; Logistic Models ; Magnetic Resonance Imaging/*methods ; Neoplasm Invasiveness ; Prognosis ; Retrospective Studies
- Abstract
- OBJECTIVE: To correlate high resolution dynamic MR features with prognostic factors in breast cancer. MATERIALS AND METHODS: One hundred and ninety-four women with invasive ductal carcinomas underwent dynamic MR imaging using T1-weighted three-dimensional fast low-angle shot (3D-FLASH) sequence within two weeks prior to surgery. Morphological and kinetic MR features were determined based on the breast imaging and reporting data system (BI-RADS) MR imaging lexicon. Histological specimens were analyzed for tumor size, axillary lymph node status, histological grade, expression of estrogen receptor (ER), expression of progesterone receptor (PR), and expression of p53, c-erbB-2, and Ki-67. Correlations between the MR features and prognostic factors were determined using the Pearson chi(2) test, linear-by-linear association, and logistic regression analysis. RESULTS: By multivariate analysis, a spiculated margin was a significant, independent predictor of a lower histological grade (p < 0.001), and lower expression of Ki-67 (p = 0.007). Rim enhancement was significant, independent predictor of a higher histological grade (p < 0.001), negative expression of ER (p = 0.001), negative expression of PR (p < 0.001) and a larger tumor size (p = 0.006). A washout curve may predict a higher level of Ki-67 (p = 0.05). Most of the parameters of the initial enhancement phase cannot predict the status of the prognostic factors. Only the enhancement ratio may predict a larger tumor size (p = 0.05). CONCLUSION: Of the BI-RADS-MR features, a spiculated margin may predict favorable prognosis, whereas rim enhancement or washout may predict unfavorable prognosis of breast cancer.
- ISSN
- 1229-6929 (Print)
- Language
- English
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