Ko Kai-Hsiung, Hsu Hsian-He, Yu Jyh-Cherng, Peng Yi-Jen, Tung Ho-Jui, Chu Chi-Ming, Chang Tsun-Hou, Chang Wei-Chou, Wu Yu-Cheng, Lin Yu-Pang, Hsu Giu-Cheng
Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC.
Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC.
Eur J Radiol. 2015 Jan;84(1):77-85. doi: 10.1016/j.ejrad.2014.10.010. Epub 2014 Oct 23.
To analyze the features of non-mass-like (NML) breast lesions on ultrasound (US) and determine their corresponding malignancy rate and to stratify these lesion patterns according to US BI-RADS categories.
One hundred sixty-four consecutive lesions were retrospectively classified into four types according to the US features, the corresponding positive predictive values (PPVs) were obtained. Clinical, imaging, and histopathological findings were reviewed.
Among the 164 lesions, 39 (24%) were classified as type Ia, 14 (8%) as type Ib, 39 (24%) as type IIa, 19 (12%) as type IIb, 19 (12%) as type III, and 34 (21%) as type IV. The PPVs for malignancy were 21% for type Ia, 79% for type Ib, 10% for type IIa, 58% for type IIb, 16% for type III, and 21% for type IV. All NML lesions were classified as BI-RADS category 4a (type IIa), 4b (type Ia, III and IV) and 4c (type Ib and IIb) according to their PPVs. There was a significantly higher frequency of malignancy among lesions of type Ib and type IIb compared with the other types (P<0.01 for each). Lesions with associated calcifications, presence of abnormal axillary nodes, or a mammographic finding of suspected malignancy had a higher probability of malignancy (P<0.05 for each).
US is useful in clarifying the indication for biopsy of NML lesions. The types of US classifications used in our study establish reliable references for the NML patterns when stratified according to the BI-RADS categories.
分析超声(US)检查中乳腺非肿块样(NML)病变的特征,确定其相应的恶性率,并根据美国放射学会(ACR)乳腺影像报告和数据系统(BI-RADS)分类对这些病变模式进行分层。
回顾性分析164例连续性病变,根据超声特征将其分为四种类型,得出相应的阳性预测值(PPV)。对临床、影像及组织病理学检查结果进行回顾分析。
164例病变中,39例(24%)为Ia型,14例(8%)为Ib型,39例(24%)为IIa型,19例(12%)为IIb型,19例(12%)为III型,34例(21%)为IV型。各型的恶性PPV分别为:Ia型21%,Ib型79%,IIa型10%,IIb型58%,III型16%,IV型21%。根据PPV,所有NML病变均被归类为BI-RADS 4a类(IIa型)、4b类(Ia型、III型和IV型)和4c类(Ib型和IIb型)。Ib型和IIb型病变的恶性频率显著高于其他类型(各P<0.01)。伴有钙化、腋窝异常淋巴结或乳腺X线检查发现可疑恶性的病变,其恶性概率更高(各P<0.05)。
超声有助于明确NML病变的活检指征。本研究中使用的超声分类类型,在根据BI-RADS分类进行分层时,为NML模式建立了可靠的参考。