Comparison of Diagnostic Accuracies of USG, MG and MRI Modalities Defined with BI-RADS Classification System

Background: BI-RADS classification facilitates the information related to diagnosis for radiologists. It allows radiologists to interpret mammograms accurately. Objective: We aimed to compare the diagnostic accuracy of the three modalities, USG, MG and MRI, with the BI-RADS classification system according to their imaging findings. Methods: This study included 82 patients who underwent Tru-Cut biopsy under the guidance of USG, MG, and MRI. Mammography, sonography and MRI were performed in the prone position. Results: Of the patients, 46.3%, 14.6%, and 39.0% were assessed in 4A, 4B, and 5 MRI BI-RADS categories, respectively. Based on the variable surgical/pathological diagnosis, 50%, 28.0%, and 22.0% of the patients were categorized as having malignant findings, benign findings, and infectioninflammation- mastitis, respectively. The determination of the endpoints for the parameter of long-axis diameter (mm) was found to be statistically significant according to ROC analysis as a gold standard based on specificity levels of benign and malignant findings (p<0.05). A significant correlation was detected between the gold standard and the categorical variable MRI BI-RADS (χ²=46.380, p<0.01). Conclusion: When the specificity and sensitivity of all three modalities in surgical/pathological diagnosis were compared, MRI was concluded to be superior to the other modalities and a valuable method for the prediction of lesion malignancy and determination of biopsy prediction and priority.