Department of Radiology, Research Institute of Radiological Science, Yonsei University, College of Medicine, Seoul, Korea.
Ultrasound Med Biol. 2011 May;37(5):693-9. doi: 10.1016/j.ultrasmedbio.2011.02.009. Epub 2011 Mar 31.
The objective of this study was to evaluate the positive predictive value (PPV) in ultrasonographically (US)-detected breast lesions of BI-RADS category 4a, 4b and 4c and to find how various clinical factors influenced the PPV of category 4. A total of 2142 women with 2430 breast lesions diagnosed on US as BI-RADS category 4 and underwent biopsy were included. Among them, 452 (18.6%) were pathologically confirmed as malignancy. PPV of each US BI-RADS subcategory was 7.6% (149/1963) for category 4a, 37.8% (68/180) for category 4b and 81.9% (235/287) for category 4c. Several clinical factors were more significantly seen in malignancy of category 4a and 4b, whereas none of the factors showed significance in category 4c. Subcategorization of category 4 is a feasible method in predicting malignancy in which patients' age, lack of multiplicity and symptoms affected the PPV of category 4 lesions.
本研究旨在评估超声（US）检测到的 BI-RADS 类别 4a、4b 和 4c 中乳腺病变的阳性预测值（PPV），并探讨各种临床因素如何影响 4 类病变的 PPV。共纳入 2142 名女性，2430 个乳腺病变经 US 诊断为 BI-RADS 4 类，并进行了活检。其中，452 例（18.6%）病理证实为恶性。US BI-RADS 亚类中，4a 类的 PPV 为 7.6%（149/1963），4b 类为 37.8%（68/180），4c 类为 81.9%（235/287）。在 4a 类和 4b 类的恶性病变中，几个临床因素更为显著，而在 4c 类中，没有一个因素具有显著意义。4 类的亚分类是一种预测恶性病变的可行方法，其中患者年龄、缺乏多发性和症状影响 4 类病变的 PPV。
