基于乳腺钼靶侧斜位图像的近期乳腺癌风险预测研究

doi:10.3969/j.issn.0258-8021.2018.02.006

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摘要探讨乳腺钼靶侧斜位图像双侧不对称性与近期乳腺癌风险之间的关联性。回顾性分析556例连续两年进行乳腺普查的样本,当前年患癌与阴性样本各278例,且两组样本年龄匹配。对前一年乳腺钼靶侧斜位图像进行预处理获取双侧局部对应区域及全局区域后分别提取空间差异性、结构相似性及位置信息等85维影像特征。删除相关性较高的特征后剩余78个特征,采用留一法与逐步回归分析进行特征选择,并建立基于广义线性模型的近期乳腺癌风险预测模型。结果显示,全局及局部不对称性特征相结合进行风险预测AUC值为0.666 7±0.022 6,对其进行混淆矩阵分析,特异性为0.690 6,灵敏度为0.521 6。对风险预测值进行回归分析,优势比(Odds Ratio)随风险的增加而显著增加,P值为0.002 033。3个基于年龄的子集(37~49岁,50~65岁,66~87岁)进行近期乳腺癌风险预测,AUC值分别为0.681 0±0.043 2,0.671 6±0.030 0及0.678 2±0.054 7,对应3个年龄段的特异性分别为0.702 7,0.694 3和0.723 4,灵敏度分别为0.554 1,0.490 4和0.574 5。两个基于乳腺X线分型的子集(BIRADS 2、BIRADS 3) AUC值分别为0.654 5±0.036 9及0.694 4±0.03,特异性分别为0.676 2和0.733 3,灵敏度分别为0.522 9和0.536 9。结果表明,乳腺钼靶侧斜位图像全局及局部不对称性相结合对近期乳腺癌风险预测具有潜在有效价值。

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	李颜娥
	张朋
	范明
	Zheng Bin
	厉力华

关键词 ：双侧乳腺钼靶侧斜位图像, 近期乳腺癌风险, 双侧不对称性, 局部区域

Abstract：This study proposed a model for the prediction of near-term breast cancer risk in mediolateral oblique view (MLO) of negative full-field digital mammography (FFDM) images based on local and global region bilateral asymmetry features. The retrospective dataset included series of two sequential FFDM examinations of 556 women. In the “current” examination 278 women were diagnosed with pathology verified cancers and 278 cases remained negative. Patients’ age for breast cancers and negative cases were matched. After region of interest include local and global regions were segmented, spatial distribution, structural similarity and positional information related features were extracted. After decorrelation process, 7 features with Spearman correlations >0.6 were excluded and 78 features were remained for further analyses. Next, a short-term breast cancer risk prediction model was built using a leave-one-case-out cross-validation method to predict the likelihood of each woman having image-detectable cancer in the next sequential mammography screening. The computed areas under a receiver operating characteristic curves (AUC) was 0.6667±0.0226 with the specificity and sensitivity were 0.6906 and 0.5216 respectively when combined global-and local-based features. The odds ratio values was increased with a significantly increasing trend in slope (P=0.002033) as the model-generated risk score increased. In addition, for the three age groups of 37-49, 50-65 and 66-87 years old, the AUC values were 0.681 0±0.043 2,0.671 6±0.030 0 and 0.678 2±0.054 7 with the specificity were 0.702 7, 0.694 3 and0.723 4 and sensitivity were 0.554 1, 0.490 4 and 0.574 5 respectively. And AUC values of0.654 5 and 0.694 4 were yielded for BIRADS 2 and BIRADS 3, respectively. With the specificity were0.676 2 and 0.733 3 and sensitivity were 0.522 9 and 0.536 9 for BIRADS 2 and BIRADS 3, respectively. This study demonstrated the potential of bilateral asymmetry features extracted from MLO view mammography to assist the prediction of near-term breast cancer risk.

Key words： mediolateral oblique view near-term breast cancer risk bilateral asymmetry local region

收稿日期: 2017-09-05

PACS:

R318

基金资助:国家自然科学基金(61271063,61401131); 浙江省重点基金(LZ15F01001); 国家重点基础研究发展计划项目(2013CB329502); Grants R01CA197150 from the National Cancer Institute, National Institutes of Health, USA.

通讯作者: lilh@hdu.edu.cn

引用本文:

李颜娥, 张朋, 范明, Zheng Bin, 厉力华. 基于乳腺钼靶侧斜位图像的近期乳腺癌风险预测研究[J]. 中国生物医学工程学报, 2018, 37(2): 169-180.
Li Yane, Zhang Peng, Fan Ming, Zheng Bin, Li Lihua. Prediction of Near-Term Breast Cancer Risk in Mediolateral Oblique View of Mammography. Chinese Journal of Biomedical Engineering, 2018, 37(2): 169-180.

链接本文:

http://cjbme.csbme.org/CN/10.3969/j.issn.0258-8021.2018.02.006 或 http://cjbme.csbme.org/CN/Y2018/V37/I2/169

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