通过超声成像特征评估乳腺癌风险类别
Assessing Risk Category of Breast Cancer by Ultrasound Imaging Characteristics.
作者信息
Guo Qiang, Zhang Lei, Di Zhixin, Ning Chunping, Dong Zhiwu, Li Ziyao, Wang Dongmo, Liu Chong, Zhao Ming, Tian Jiawei
机构信息
Department of Ultrasound Medicine, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai Jiaotong University, Shanghai, China; Department of Ultrasound Medicine, Hospital of Harbin Medical University, Heilongjiang, China.
Department of Ultrasound Medicine, Hospital of Harbin Medical University, Heilongjiang, China.
出版信息
Ultrasound Med Biol. 2018 Apr;44(4):815-824. doi: 10.1016/j.ultrasmedbio.2017.12.001. Epub 2018 Jan 10.
The purpose of our study was to assess the potential clinical value of ultrasound imaging in predicting risk category in patients with breast cancer. Three hundred thirty-six patients were enrolled and divided into a high-risk group (99, 29.5%) and mid- to low-risk group (237, 70.5%) according to the St. Gallen risk criteria. All data were retrospectively collected to analyze correlations between ultrasound features and risk category. The results revealed that the ultrasound features of irregular shape (p= 0.002), vertical growth orientation (p= 0.002), angular contour (p= 0.022) and high color Doppler flow imaging grade (p= 0.001) tended to be present in images of the high-risk group. Therefore, tumor ultrasound features should be recognized as an ideal option for determination of risk category in patients with breast cancer.
我们研究的目的是评估超声成像在预测乳腺癌患者风险类别方面的潜在临床价值。根据圣加仑风险标准，招募了336例患者，并将其分为高风险组（99例，29.5%）和中低风险组（237例，70.5%）。所有数据均为回顾性收集，以分析超声特征与风险类别的相关性。结果显示，高风险组图像中往往存在不规则形状（p=0.002）、垂直生长方向（p=0.002）、角状轮廓（p=0.022）和高彩色多普勒血流成像分级（p=0.001）等超声特征。因此，肿瘤超声特征应被视为确定乳腺癌患者风险类别的理想选择。
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