Journal
MAGNETIC RESONANCE IN MEDICAL SCIENCES
Volume 16, Issue 3, Pages 245-252Publisher
JPN SOC MAGNETIC RESONANCE MEDICINE
DOI: 10.2463/mrms.mp.2016-0037
Keywords
breast; MRI; diffusion-weighted imaging; readout-segmented echo planar imaging; diffusion tensor imaging
Ask authors/readers for more resources
Purpose: To assess the diagnostic performance of readout-segmented echo-planar diffusion tensor imaging (DTI based on rs-EPI) for breast cancer and to determine the correlation between the apparent diffusion coefficient (ADC) and fractional anisotropy (FA) values obtained from DTI based on rs-EPI with prognostic markers of invasive breast cancer. Materials and Methods: This retrospective study examined 80 pathologically proven breast lesions (22 benign and 58 malignant lesions) of 80 patients who underwent both diffusion-weighted imaging based on single-shot echo-planar imaging (DWI based on ss-EPI) and DTI based on rs-EPI with b-values of 0 and 1000. We identified and compared the diagnostic performances of the DWI based on ss-EPI and the DTI based on rs-EPI using ADCs by conducting a receiver-operating-characteristics (ROC) analysis. We determined the correlations between the ADCs and the prognostic markers and those of the FA values and the same markers. Results: The median ADCs of the benign and malignant lesions based on the ss-EPI were 1.57 and 1.2 x 10(-3) mm(2)/sec, and those based on the rs-EPI were 1.53 and 1.09 x 10(-3) mm(2)/sec, respectively. The area under the curve on the ROC analysis based on rs-EPI (0.924) was greater than that based on ss-EPI (0.897). There were no significant correlations between the ADCs and the prognostic markers, but there were significant correlations between the FA values and the estrogen receptor status, a proliferative marker, the nuclear grade and the intrinsic subtype. Conclusion: For breast cancer, DTI based on rs-EPI had superior diagnostic performance compared to DWI based on ss-EPI. Compared with the ADCs, the FA values were more closely correlated with prognostic markers of invasive breast cancer.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available