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Updated: Apr 28, 2026
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Diagnostic performance of apparent diffusion coefficient and quantitative kinetic parameters for predicting
Hyunkyung Yoo1, Hee Jung Shin2, Seunghee Baek3
1Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan, College of Medicine, 86 Asanbyeongwon-gil Songpa-gu, Seoul, South Korea; Department of Radiology, Inha University Hospital, College of Medicine, Inhang-Ro 27, Shin-Heung Dong, Joon-Gu, Incheon, South Korea.
Purpose:
To evaluate the diagnostic performance of an apparent diffusion coefficient (ADC) and quantitative kinetic parameters in patients with newly diagnosed breast cancer.
Materials And Methods:
We enrolled 169 lesions in 89 patients with breast cancer who underwent dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted imaging (DWI). Comparisons between benign and malignant lesions were performed for lesion type (mass or nonmass-like enhancement), size (≥1cm or<1cm), ADC, kinetic parameters and the presence of a US correlate.
Results:
There were 63 benign and 106 malignant lesions. The mean size and initial peak enhancement of the benign lesions were significantly lower than those of malignant lesions (P<0.001 for both). The ADC of the benign lesions was significantly higher than that of malignant lesions (1.42×10(-3)mm(2)/sec vs. 1.04×10(-3)mm(2)/sec; P<0.001). The area under the receiver operating characteristic curve (AUC) for predicting malignancy was 0.87 for the combined parameters of size, ADC, and initial peak enhancement, which was higher than those of each parameter.
Conclusions:
Combination of quantitative kinetic parameters and ADC showed higher diagnostic performance for predicting malignancy than each parameter alone for the evaluation of patients with breast cancer.
