Differential Diagnosis of Breast Masses using Ultrasound Confirmed with Histopathology

Breast cancer being the most common female cancer in the west, has been the subject of a large number of biological, pathology and therapeutic studies. The study aim to differentiate between malignant and benign masses from their ultrasound features and compared the obtained results with histopathology results. Materials& Methods Ultrasound scanning of 62 cases of female breast masses was done in Radiology Department at King Abdul-Aziz Specialist Hospital (KAASH) hospital, Taif city, Saudi Arabia. U/S scans included information regarding the four features of the breast. Results Study sample age ranged from (13 to 80) years old and the group (31-50 y) represented higher incidence with (33.9 %), mean age was (46.5y), (87.1 %) from them were married. Lesions width to AP ratio distributed as ( 1.4, 1.4 and 4) with percentage of (33.9 %, 64.5 % and 1.6 % respectively). Ultrasound diagnosed 24 malignant masses out of 36 correctly with sensitivity of (66.7 %), and overall sensitivity was (69.8 %) and out of 30 malignant cases have had vascularity under color Doppler box ultrasound diagnosed 27 case from them with accuracy of (90 %). Ultrasound features that most reliably characterized breast masses as benign were round or oval shape (63.2 %), circumscribed margins (54.3 %) and (80 %) of heterogenous echo texture masses were benign, while features that characterized masses as malignant were irregular shape (91.7 %), complex appearance during U/S scan with percentage of (70 %), (74.1 %) Ill-defined margins, width AP ratio 1.4 and 4 with percentage of (61.1 %, 100 respectively), (55.6 %) of hypoechoic masses were malignant. Only (2.8 %) of heterogenous echo texture masses was malignant. Conclusion Our results revealed an association between songraphic presentation and vascularity under Doppler box of breast masses and histology. Ultrasound is a useful tool in differentiation of cystic from solid masses of the breast. Recommendation Similar studies with large sample size at regular intervals should be carried out in Taif region.