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Pathological correlation of BIRADS 3 and 4 breast lesions

International Journal of Surgery Science · 2024 · Vol. 8(2) · pp. 01–04
Orhan KalaycıAffan ÇakırMurat Kılıç

Abstract

Background: BIRADS has become the standard in characterizing the radiological findings of the breast lesions. Compared with other categories, BIRADS 3 and 4 are more difficult to manage. The aim was to present our clinical experience in the evaluation of breast lesions classified as BIRADS 3 and 4. Methods: Female patients who underwent surgical intervention for BIRADS 3 or 4 lesions were included in the study. The primary endpoint was the comparison of preoperative BIRADS scores (BIRADS 3 and 4) and postoperative histopathological results. Results: Data of 373 patients with a mean age of 52.3 years was analyzed. Preoperatively, 249 patients had BIRADS 3 lesions, while 124 patients had BIRADS 4 lesions. The mean age of patients with BIRADS 3 lesions was lower than that of patients in BIRADS 4 group. Thirty-six (14.5%) patients in the BIRADS 3 group and 40 (32.3%) patients in the BIRADS 4 group were above 50 years. Malignancy was detected in 3 (1.2%) and 31 (25%) patients in the BIRADS 3 and BIRADS 4 groups, respectively. BIRADS classification was found to be 91.2% sensitive and 72.6% specific, with an accuracy rate of 74.2%. Positive and negative predictive values were 25% and 98.8% respectively. Conclusions: A high malignancy rate of 25% in the BIRADS 4 patients indicated that preoperative histopathological assessment is mandatory. Although 3% malignancy rate in the BIRADS 3 group was low, it was valuable to show the importance of careful physical examination and detailed family history questioning. The malignancy risk in BIRADS 4 lesions was significantly higher in women above 50 years than in younger women, demonstrating that advanced age is an important risk factor for BC.

Breast Lesions and CarcinomasBladder and Urothelial Cancer TreatmentsOvarian cancer diagnosis and treatmentPathologicalCorrelationMedicineBreast cancerPathologyInternal medicineCancerMathematics
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