上海交通大学学报（医学版）

上海交通大学学报（医学版）

• 论著（临床研究） • 上一篇    下一篇

自动乳腺全容积扫查对乳腺癌预后评估的价值

金叶，李凤华，王琳，杜晶，万财凤   

  1. 上海交通大学 医学院附属仁济医院超声科， 上海 200127
  • 出版日期:2015-09-28 发布日期:2015-09-30
  • 通讯作者: 李凤华, 电子信箱: proflifh@sina.com。
  • 作者简介:金叶（1982—）， 女， 硕士生; 电子信箱: kingyee@yeah.net。

Value of automated breast volume scanner for evaluating prognosis of breast cancer

JIN Ye, LI Feng-hua, WANG Lin, DU Jing, WAN Cai-feng   

  1. Department of Ultrasound, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
  • Online:2015-09-28 Published:2015-09-30

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摘要：

目的  研究自动乳腺全容积扫查（ABVS）在乳腺癌预后评估中的价值。方法  分析81例乳腺癌ABVS图像，观察病灶的边缘、生长方式、后方回声、钙化及“汇聚征”等形态学表现，并与乳腺癌的预后指标包括病理级别、淋巴结、雌激素受体（ER）、孕激素受体（PR）及c-erbB-2等进行相关性分析。结果  51.85%（42/81）伴毛刺征，其中11.90%（5/42）的毛刺仅在冠状面察见，毛刺征组的ER/PR阳性率高、c-erbB-2阳性率低（均P＜0.01）；30.86% （25/81）有后方回声增强，多见于ER/PR阴性、c-erbB-2阳性的乳腺癌（均P＜0.01）；53.09%（43/81）伴微钙化，并与c-erbB-2阳性表达有关（P=0.018）；45.68% (37/81)有“汇聚征”，常为低级别（Ⅰ/Ⅱ级）(P=0.023)、 ER/PR阳性、c-erbB-2阴性(均P<0.01)的乳腺癌。结论  ABVS通过形态特征特别是“汇聚征”能反映肿瘤的预后指标，能对乳腺癌进行有效的在体预后评估。

关键词: 自动乳腺全容积扫查, 乳腺癌, 汇聚征, 预后因子

Abstract:

Objective  To investigate the value of automated breast volume scanner (ABVS) for evaluating the prognosis of breast cancer. Methods  ABVS images of 81 cases of breast cancer were analyzed. Morphological manifestations such as the lesion margin, growth orientation, posterior echo, calcification status, and retraction phenomenon were observed and the correlation with prognostic factors of breast cancer such as pathological grade, lymph node, estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (c-erbB-2) was analyzed. Results  Among 81 cases, 42 (51.85%) had spiculate margin, and only 5 of them (11.90%) were found on the coronal plan. For patients with spiculate margin, the ER/PR positive rate was high (P<0.001) and c-erbB-2 positive rate was low (P<0.001). Among 81 cases, 25 (30.86%) had posterior enhancement and most of them were breast cancer patients with negative ER/PR and positive c-erbB-2 (P<0.001). Among 81 cases, 43 (53.09%) had microcalcification and was relevant to positive expression of c-erbB-2 (P=0.018). Among 81 cases, 37 (45.68%) had retraction phenomenon and most of them were breast cancer patients with low grades (grade Ⅰ/Ⅱ)(P=0.023), positive ER/PR, and negative c-erbB-2 (P<0.001). Conclusion  ABVS can reflect prognostic factors of breast cancer based on morphological features, especially retraction phenomenon, and can efficiently evaluate the prognosis of breast cancer.

Key words: automated breast volume scanner, breast cancer, retraction phenomenon, prognostic factors