Abstract

In this study, we wanted to differentiate benign and malignant breast lesions using diffusion-weighted imaging and dynamic contrast MRI, derive enhancement pattern curves to differentiate benign from malignant breast lesions and correlate MRI findings with pathological findings. Methods: This was a hospital-based cross-sectional study conducted among 31 patients who underwent MRI breast examination in the Department of Radio Diagnosis, R.L. Jalappa Hospital and Research Centre, attached to Sri Devaraj Urs Medical College, Tamaka, Kolar, from January 2021 to July 2022 after obtaining clearance from the institutional ethics committee, and written informed consent from the study participants. Results: 17 (38.6%) out of the 44 lesions showed restricted diffusion and 14 (31.8 %%) did not show restricted diffusion. As per MRI final diagnosis, 16 (36.4%) lesions were diagnosed as malignant and 28 (63.6%) as benign. As per the HPE report, 24 lesions (54.5%) were benign and 20 (45.5%) were malignant in aetiology. By comparing the DWI findings with HPE findings there were 17 (85%) true malignant lesions and 3 were misclassified as malignant lesions. And when DC-MRI was compared with HPE there were 16 (80%) true malignant lesions and 4 were misclassified as malignant lesions. The association between restricted diffusion on DWI and diagnosis by HPE and between DC MRI and HPE modes of diagnosis was statistically significant. Conclusion: Assessment of breast lesions by multiparametric analysis like morphology of lesions, DWI, dynamic contrast MRI, and kinetic curves has more sensitivity and specificity than single parametric analysis.

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