陈熹微,侯新燕,刘 璐.不同年龄组乳腺超声分型与乳腺癌危险因素的相关性研究[J].中国肿瘤,2016,25(11):910-914.
不同年龄组乳腺超声分型与乳腺癌危险因素的相关性研究
Correlation of Ultrasound Patterns with Risk Factors of Breast Cancer in Different Age Groups
投稿时间:2016-04-22  
DOI:10.11735/j.issn.1004-0242.2016.11.A015
中文关键词:  乳腺超声分型  超声检查  乳腺癌  年龄  危险因素
英文关键词:ultrasonography  mammary gland pattern  breast cancer  age  risk factors
基金项目:
作者单位
陈熹微 中国人民解放军陆军总医院 
侯新燕 中国人民解放军陆军总医院 
刘 璐 中国人民解放军陆军总医院 
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中文摘要:
      摘 要:[目的] 探讨不同年龄组乳腺超声分型与乳腺癌危险因素的相关性。[方法] 选取2014年6月至2015年5月行乳腺彩超检查的健康查体女性980名,检出乳腺癌患者2例。采用调查问卷形式收集相关信息。根据超声图像中乳腺腺体内各组织成分比例的不同将乳腺实质归为四型:导管型、混合型、致密型、不均质型。按年龄分为3组:<35岁组、35~55岁组、≥55岁组。统计分析各年龄组的乳腺超声分型分布差异、各年龄组乳腺超声分型的影响因素。[结果] 三个不同年龄组中的乳腺超声分型分布差异具有统计学意义(χ2=206.274,P<0.001)。非条件logistic回归分析乳腺超声分型影响因素在不同年龄组中分别为:<35岁组包括心理状况、婚姻状况、体质指数(BMI)。35~55岁组包括乳腺活检史、心理状况、BMI、哺乳史。≥55岁组包括心理状况、BMI。[结论] 各年龄组中,心理状况及BMI两个因素与乳腺实质超声分型的相关性最强。与其他年龄组比较,35~55岁组乳腺超声分型受到更多的乳腺癌危险因素的影响。
英文摘要:
      Abstract:[Purpose] To investigate the correlation between ultrasound patterns and risk factors of breast cancer in different age groups. [Methods] Nine hundred and eighty women received mammary physical examination in our hospital from June 2014 to May 2015,among whom 2 cases of breast cancer were detected. The related information was collected by questionnaire. The ultrasound images were classified into ductal,mixed,dense and heterogeneous types. The correlation between breast ultrasound patterns and related factors in different age groups(<35,35~55,≥55) was analyzed. [Results] The distribution of different types of breast ultrasound patterns was significantly different among 3 age groups(χ2=206.274,P<0.001). Multivariate analysis showed that the influencing factors of breast ultrasound patterns were mental state,marital status and body mass index (BMI) in <35 age group;history of breast biopsy,mental state,BMI and breast feeding history in 35~55 age group;mental state and BMI in ≥55 age group. [Conclusion] Mental state and BMI are closely correlated with the breast ultrasound patterns in all age groups. The breast ultrasound patterns in women of 35~55 age group are affected by more risk factors than other age groups.
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