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

BI-RADS classification facilitates the information related to diagnosis for radiologists. It allows radiologists to interpret mammograms accurately.

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.

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.

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).

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.