Sng K W, Ng E H, Ng F C, Tan P H, Low S C, Chiang G, Ho G H, Ng L T, Wilde C, Tan K P
Department of Surgery, Singapore General Hospital, Singapore.
Ann Acad Med Singap. 2000 Jul;29(4):457-62.
The ability to categorise mammographic features according to their likelihood of malignancy would be valuable in the management of women with abnormal mammograms. The aim of our study was to correlate abnormal mammographic features in a screened population with their histology to identify those features which are predictive of malignancy. The study also examined the spectrum of mammographic features in an Asian population.
This prospective study involved 28,231 women who were randomly selected from a population registry and underwent two-view screening mammography without physical examination. Women with suspicious lesions were recalled for further mammographic views or to a joint assessment clinic prior to biopsy. Mammographic abnormalities and their corresponding histology were assessed.
The spectrum of mammographic abnormalities was similar to that in Caucasian populations. The positive predictive value for malignancy was 44.1% of all biopsied cases. Mammographic features could be broadly classified into low-, moderate- and high-risk categories for malignancy. Those features which correspond to high malignancy rates (9.8% to 16.0%) include multiple abnormalities or parenchymal lesions with microcalcifications. The presence of microcalcifications was a good predictor of ductal carcinoma-in-situ (DCIS): 46% of lesions in which the microcalcifications were the sole abnormality were DCIS only. Further, 71% of cancers with any microcalcification on the mammogram had a focus of DCIS on histology.
Mammographic abnormalities can be segregated into three risk groups for malignancy, and this in turn can improve the selection criteria for breast biopsy, hence reducing unnecessary intervention. Furthermore, the presence of microcalcifications denotes the presence of DCIS, and would be an important determinant of the extent of surgical excision.
根据乳房X光检查特征的恶性可能性对其进行分类的能力,对于乳房X光检查异常的女性的管理具有重要价值。我们研究的目的是将筛查人群中乳房X光检查的异常特征与其组织学结果相关联,以确定那些可预测恶性肿瘤的特征。该研究还考察了亚洲人群中乳房X光检查特征的范围。
这项前瞻性研究纳入了28231名女性,她们是从人口登记册中随机选取的,接受了双侧乳房X光筛查,未进行体格检查。有可疑病变的女性被召回进行进一步的乳房X光检查或在活检前前往联合评估诊所。对乳房X光检查异常及其相应的组织学结果进行了评估。
乳房X光检查异常的范围与白种人群相似。所有活检病例中恶性肿瘤的阳性预测值为44.1%。乳房X光检查特征可大致分为低、中、高恶性风险类别。那些对应高恶性率(9.8%至16.0%)的特征包括多个异常或伴有微钙化的实质病变。微钙化的存在是导管原位癌(DCIS)的良好预测指标:微钙化是唯一异常的病变中,46%仅为DCIS。此外,乳房X光片上有任何微钙化的癌症中,71%在组织学上有DCIS病灶。
乳房X光检查异常可分为三个恶性风险组,这反过来可以改善乳房活检的选择标准,从而减少不必要的干预。此外,微钙化的存在表明存在DCIS,并且将是手术切除范围的重要决定因素。