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乳腺超声图像特征预测乳腺癌风险的分析
引用本文:黎金钱,王琼,吴昊,周莉萍. 乳腺超声图像特征预测乳腺癌风险的分析[J]. 中国妇幼卫生杂志, 2020, 0(1): 61-65
作者姓名:黎金钱  王琼  吴昊  周莉萍
作者单位:深圳市罗湖区妇幼保健院;华中科技大学同济医学院
摘    要:目的应用乳腺影像报告和数据系统(BI-RADS)分级标准,对超声图像特征进行标准处理,建立Logistic回归模型,探讨高频彩色多普勒超声在鉴别乳腺良、恶性肿块中的诊断价值。方法回顾性分析深圳市罗湖区妇幼保健院2017年1月-2018年8月经乳腺活体组织检查或手术的200例患者共计239个肿块的乳腺超声图文资料,对超声图像特征进行单因素分析以及建立非条件性Logistic回归模型,总结乳腺肿块的超声特征,提出良、恶性肿块超声鉴别诊断要点。结果单因素分析结果显示,形态、边界、微钙化、血流、腋窝淋巴结异常、后方回声等超声图像特征对鉴别乳腺良(恶)性疾病有统计学意义(P<0.001),而Logistic回归方程只保留了毛刺或蟹足状形态和微钙化两个因素。结论高频彩色多普勒超声对良(恶)性乳腺肿块有着较高的鉴别效能。其操作简单,对人体无伤害,是临床早期诊断乳腺肿瘤的首选检查方法。

关 键 词:超声  乳腺影像报告数据系统  LOGISTIC回归模型

Analysis of breast ultrasound image features in predicting the risk of breast cancer
LI Jin,Qian,WANG Qiong,WU Hao,ZHOU Li,Ping. Analysis of breast ultrasound image features in predicting the risk of breast cancer[J]. Chinese Journal of Women and Children Health, 2020, 0(1): 61-65
Authors:LI Jin  Qian  WANG Qiong  WU Hao  ZHOU Li  Ping
Affiliation:(Shenzhen Luohu District Maternal and Child Health Hospital,Shenzhen 518001,China;Tongji Medical College of Huazhong University of Science and Technology,Wuhan 430000,China)
Abstract:Objective We aimed to establish a logistic regression model to evaluate the value of breast ultrasound image feature standardized by BI-RADS in identifying malignant breast masses.To explore the diagnostic value of high frequency color Doppler ultrasonography in differential diagnosis of the benign and malignant breast masses by by applying breast BI-RADS(image report and data system) grading standard to carry out standard processing of ultrasound image features and establishing logistic regression model.Method The ultrasonographic data of 239 breast masses from 200 patients who underwent breast biopsy or surgery in Shenzhen Luohu District Maternal and Child Health Hospital from January 2017 to August 2018 were analyzed retrospectively.We retrospectively analyzed.Through the univariate analysis of ultrasound image features and the establishment of unconditional logistic regression model,the ultrasound features of breast masses were summarized,and the main points of ultrasound differential diagnosis of benign and malignant masses were put forward.Results The result of univariate analysis showed that the differences of six ultrasound signs such as morphology,boundary,microcalcification,blood flow,axillary lymph node abnormalities,posterior echo were statistically significant in benign and malignant groups(P <0.001).Nevertheless,Only burr or crab foot shape and microcalcification were retained in the logistic final regression model.Conclusion High-frequency color Doppler ultrasound had a high value in the differential diagnosis of benignant and malignant breast masses.High-frequency color Doppler ultrasound detection has simple operation,and it is harmless to our body,so it is the first choice for early diagnosis of breast tumors in clinical practice.
Keywords:ultrasound  breast imaging report and data system  logistic regression model
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