Objective:

The aim of this study was to evaluate the effect of the apparent diffusion coefficient (ADC) and diffusion-weighted imaging in differentiating benign from malignant breast lesions, histopathologic subtypes of breast tumors, and to find a correlation with prognostic factors using 3T MR.

Materials and Methods:

A total of 165 patients aged between 16 and 78 years with 181 histopathologically-verifed breast lesions were enrolled in this study. A 3T MR system and bilateral phased array breast coil was used. Diffusion-weighted imaging was performed with spin echo ‘’echo planar’’ with ‘’b’’ values: 50, 400, and 800 seconds/mm2. ADC values were calculated for normal fibroglandular tissue and breast lesions. ADC values of independent groups were compared using Student’s t-test. ROC analysis was used to find a threshold ADC value in the differentiation of lesions.

Results:

The mean ADC values were 1.35±0.16 x10^-3 mm²/s for normal fibroglandular tissue, 1.41±0.24 x10^-3 mm²/s for benign breast lesions and 0.83±0.19 x10^-3 mm²/s for malignant breast lesions. The AUC with ROC analysis was 0.945 and the threshold for ADC was 1.08 ×10-3 mm2/s with a sensitivity and specificity of 92% and 92%, respectively. The threshold value for ADC ratio was 0.9 with 96% sensitivity and 89% specificity. The mean ADC of malignant breast lesions was statistically lower for benign lesions (p<0.01). We found no correlation between the mean ADC values and ER-PR receptor, Her2, and Ki-67 values.

Conclusion:

Diffusion-weighted imaging has high diagnostic value with high sensitivity and specificity in differentiating malignant and benign breast lesions.

Keywords: Diffusion-weighted imaging, ADC, breast cancer, invasive ductal carcinoma, Ki-67, Her 2 expression