Values of breast ultrasonography using BI-RADS classification in differentiating benign and malignant breast masses

WU Meng;ZHOU Ru-hai

Journal of China Clinic Medical Imaging ›› 2014, Vol. 25 ›› Issue (6) : 390-392.

Journal of China Clinic Medical Imaging ›› 2014, Vol. 25 ›› Issue (6) : 390-392.
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Values of breast ultrasonography using BI-RADS classification in differentiating benign and malignant breast masses

  • WU Meng, ZHOU Ru-hai
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Abstract

Objective: To investigate the diagnostic value of breast ultrasonography following BI-RADS in differentiating benign and malignant breast masses. Methods: Ninety-three patients with 121 breast masses underwent bilateral breast examination with high-frequency color Doppler ultrasonography. All the breast masses were evaluated with BI-RADS classification. The difference of ultrasound image between the benign and malignant breast masses was compared. The diagnostic value of BI-RADS on benign and malignant breast masses was evaluated by the parameters of sensitivity, specificity, positive and negative predictive value. Results: Compared with the benign breast masses, the malignant breast masses showed hypoechoic, irregular shape, unclear boundary, incomplete surrounding tissue, rich blood supply and with intumescent axillary lymph node. The difference was statistically significant(P<0.05). Except the positive predictive value of grade 4B(50%), the sensitivity, specificity, positive predictive value and negative predictive value of all the grades were satisfactory(66.67%~100%), especially the grades 1, 2, 3, 5 in which the result were same as the pathological findings. Conclusion: The malignant breast masses showed hypoechoic, irregular shape, unclear boundary, incomplete surrounding tissue, rich blood supply and with intumescent axillary lymph node. BI-RADS classification was accurate for distinguishing benign and malignant breast masses.

Key words

Breast diseases / Ultrasonography / Doppler / color

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WU Meng;ZHOU Ru-hai. Values of breast ultrasonography using BI-RADS classification in differentiating benign and malignant breast masses[J]. Journal of China Clinic Medical Imaging. 2014, 25(6): 390-392

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