High-resolution diffusion-weighted imaging compared with conventional diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging with regard to image quality and assessment of breast cancer morphology

Abstract

PURPOSETo evaluate the image quality and tumor morphology depiction ability of high resolution (HR) dif-fusion-weighted imaging (f-DWI) in comparison to conventional DWI (c-DWI) and dynamic con-trast-enhanced magnetic resonance imaging (DCE-MRI) in the primary breast cancer setting.METHODSThe f-DWI, c-DWI, and DCE-MRIs of 160 malignant breast masses were evaluated retrospectively by two independent radiologists. Data on image quality [sharpness, distortion, and perceived signal-to-noise ratio (SNR)], apparent diffusion coefficient (ADC) value, lesion size, and tumor morphology (shape, margin, and internal pattern) obtained on f-DWI, c-DWI, and DCE-MRI were compared. Con-sistency between the readers and imaging methods for morphological parameters was analyzed.RESULTSThe ADC values measured on f-DWI were significantly lower than those measured on c-DWI for both readers (P < 0.001 for each), whereas mean lesion size was significantly larger in c-DWI than in f-DWI and DCE-MRI for both readers (P < 0.001 for each). Higher consistency values were obtained for f-DWI compared with c-DWI when correlated with DCE-MRI for each morphological parame-ter. The least distorted images were obtained using DCE-MRI compared with c-DWI and f-DWI for both readers, whereas the highest distortion scores were obtained using c-DWI. Sharpness and per-ceived SNR scores were rated as significantly higher for f-DWI and DCE-MRI images compared with c-DWI by both readers (P < 0.001 for all). The concordance between c-DWI and DCE-MRI was fair to slight (& kappa; = 0.15 to 0.41), whereas concordance between f-DWI and DCE-MRI was significantly better (& kappa; = 0.68 to 0.87) for each reader and for all morphological parameters (P < 0.001). The highest con-cordance between the readers was achieved in margin assessment (& kappa; = 0.87 to 0.89) regardless of the MRI method, followed by shape and internal pattern parameters (& kappa; = 0.63 to 0.79).CONCLUSIONThe results demonstrated that f-DWI produces higher-quality images than c-DWI, enabling the morphological features to be identified in similar detail to that offered by HR DCE-MRI. Accordingly, f-DWI, as a method that highly correlates with DCE in determining the morphological character-istics of breast cancers, seems to have potential in the evaluation of breast tumors in patients for whom the use of contrast media is contraindicated.