Abstract
Purpose To evaluate the correlation of the mean and minimal apparent diffusion coefficient values (ADCmean, ADCminimal) and dynamic magnetic resonance imaging (MRI) findings with prognostic factors in invasive ductal carcinoma. Materials and Methods A total of 107 women with invasive ductal cancer underwent breast MRI. The ADCmean and ADC minimal of the cancers were computed. MRI findings were retrospectively evaluated according to the Breast Imaging Reporting and Data System (BI-RADS) lexicon: mass or nonmass type, mass shape, mass margin, nonmass distribution, and enhancement pattern. Histological records were reviewed for tumor size, lymph node metastasis, histologic grade, and expression of estrogen receptors (ER), progesterone receptors (PR), c-erbB-2(HER2), Ki-67, and epidermal growth factor receptors (EGFR). Correlations of ADC values and MR findings with prognostic factors were determined using the Mann-Whitney U-test and the Kruskal-Wallis test. Results The mean ADCminimal was 0.78 ± 0.24 (Ã - 10-3 mm2/s), and the mean ADCmean was 1.01 ± 0.23 (Ã - 10-3 mm 2/s). There was a significant correlation of the ADCmean value with ER expression (P = 0.027) and HER2 expression (P = 0.018). There was no significant relationship between ADCminimal and prognostic factors or between ADCmean and traditional prognostic factors, PR, Ki-67 and EGFR. The majority of the mass type lesions were less than 5 cm in size and the majority of nonmass type lesions were more than 2 cm in size (P = 0.022). The margin of mass was significantly associated with lymph node metastasis (P = 0.031), ER expression (P = 0.013), PR expression (P = 0.036), HER2 expression (P = 0.019), and EGRF expression (P = 0.041). The rim internal enhancement was significantly correlated with Ki-67 expression (P = 0.008). Conclusion The low ADCmean value was related to positive expression of ER and negative expression of HER2. A spiculated margin was related to a good prognosis, but rim enhancement was associated with a poor prognosis.
| Original language | English |
|---|---|
| Pages (from-to) | 102-109 |
| Number of pages | 8 |
| Journal | Journal of Magnetic Resonance Imaging |
| Volume | 33 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2011 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- breast
- diffusion magnetic resonance imaging
- invasive ductal carcinoma
- magnetic resonance imaging
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