Association Between Changes in Mammographic Image Features and Risk for Near-Term Breast Cancer Development.
Association Between Changes in Mammographic Image Features and Risk for Near-Term Breast Cancer Development.
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DOI：
10.1109/tmi.2016.2527619
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发表时间：
2016-07
影响因子：
10.6
通讯作者：
Gur D
中科院分区：
文献类型：
--
作者：
Tan M;Zheng B;Leader JK;Gur D
本研究的目的是开发和测试一种新的计算机模型，用于预测近期乳腺癌风险，该模型基于对一系列阴性全视野数字乳房x线摄影（FFDM）图像中双侧乳房x线摄影图像特征变化的定量评估。回顾性数据集包括335名妇女的四次连续FFDM检查。获取每个系列的最后一次考试（“当前”）和最近三次“以前”考试的结果。在最初的临床图像阅读中，所有“先前”检查都被解释为阴性，而在“当前”检查中，发现了159例癌症并进行了病理验证，176例仍无癌症。从每张图像中，我们最初计算了158个乳房x线摄影密度、结构相似性和基于纹理的图像特征。选取左右乳房之间的绝对相减值来表示每个特征。然后，我们建立了三个基于支持向量机（SVM）的风险模型，并使用基于留一个案例的交叉验证方法对其进行训练和测试。使用嵌套逐步回归分析方法选择每个支持向量机模型所使用的实际特征。随着“先验”（3比1）与“当前”检查之间的时滞减小，接收器工作特征曲线下的计算面积从0.666±0.029单调增加到0.730±0.027。三组“先验”（3比1）检查的最大校正优势比分别为5.63、7.43和11.1。本研究表明，基于双侧乳房x光检查特征差异的风险模型生成的风险评分与乳房x光检查发现乳腺癌的近期风险增加趋势呈正相关。
The purpose of this study is to develop and test a new computerized model for predicting near-term breast cancer risk based on quantitative assessment of bilateral mammographic image feature variations in a series of negative full-field digital mammography (FFDM) images. The retrospective dataset included series of four sequential FFDM examinations of 335 women. The last examination in each series (“current”) and the three most recent “prior” examinations were obtained. All “prior” examinations were interpreted as negative during the original clinical image reading, while in the “current” examinations 159 cancers were detected and pathologically verified and 176 cases remained cancer-free. From each image, we initially computed 158 mammographic density, structural similarity, and texture based image features. The absolute subtraction value between the left and right breasts was selected to represent each feature. We then built three support vector machine (SVM) based risk models, which were trained and tested using a leave-one-case-out based cross-validation method. The actual features used in each SVM model were selected using a nested stepwise regression analysis method. The computed areas under receiver operating characteristic curves monotonically increased from 0.666±0.029 to 0.730±0.027 as the time-lag between the “prior” (3 to 1) and “current” examinations decreases. The maximum adjusted odds ratios were 5.63, 7.43, and 11.1 for the three “prior” (3 to 1) sets of examinations, respectively. This study demonstrated a positive association between the risk scores generated by a bilateral mammographic feature difference based risk model and an increasing trend of the near-term risk for having mammography-detected breast cancer.