Power spectral analysis of mammographic parenchymal patterns for breast cancer risk assessment
Power spectral analysis of mammographic parenchymal patterns for breast cancer risk assessment
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DOI：
10.1007/s10278-007-9093-9
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发表时间：
2008-06-01
影响因子：
4.4
通讯作者：
Chinander, Michael R.
中科院分区：
文献类型：
--
作者：
Li, Hui;Giger, Maryellen L.;Chinander, Michael R.
目的：本研究的目的是评估幂律谱分析在乳腺癌风险评估中对乳腺X线摄影实质模式的有用性。材料与方法：回顾性收集了172名受试者（30名BRCA 1/BRCA 2基因突变女性和142名低风险女性）的乳房X线照片并进行数字化。由于年龄是一个非常重要的风险因素，因此从142名低风险受试者中随机选择了60名低风险女性，并与30名基因突变携带者年龄匹配。从这些数字化乳房X线照片的乳头后面的中心乳房区域手动选择感兴趣的区域，随后用于功率谱分析。评价了乳房X线摄影模式的幂律谱形式P（f）= B/F（β）。指数β作为区分基因突变携带者和低风险女性的决策变量的性能进行了评估，使用接收器操作特性分析整个数据库和年龄匹配的子集。结果如下：乳腺X线照片的功率谱分析显示，30名BRCA 1/BRCA 2基因突变携带者和142名低风险女性之间存在统计学显著差异，平均β值分别为2.92（+/- 0.28）和2.47（+/- 0.20）。在整个数据库中，区分基因突变携带者和低风险女性的A（z）值为0.90，在年龄匹配的子集中，A（z）值为0.89。结论：BRCA 1/BRCA 2基因突变携带者与低危妇女乳腺X线表现不同。预计通过计算机特征分析确定为高风险的妇女可能会更积极地筛查乳腺癌。
Purpose: The purpose of the study was to evaluate the usefulness of power law spectral analysis on mammographic parenchymal patterns in breast cancer risk assessment. Materials and Methods: Mammograms from 172 subjects (30 women with the BRCA1/BRCA2 gene mutation and 142 low-risk women) were retrospectively collected and digitized. Because age is a very important risk factor, 60 low-risk women were randomly selected from the 142 low-risk subjects and were age matched to the 30 gene mutation carriers. Regions of interest were manually selected from the central breast region behind the nipple of these digitized mammograms and subsequently used in power spectral analysis. The power law spectrum of the form P(f) = B/F(beta) was evaluated for the mammographic patterns. The performance of exponent beta as a decision variable for differentiating between gene mutation carriers and low-risk women was assessed using receiver operating characteristic analysis for both the entire database and the age-matched subset. Results: Power spectral analysis of mammograms demonstrated a statistically significant difference between the 30 BRCA1/BRCA2 gene mutation carriers and the 142 low risk women with an average beta values of 2.92 (+/- 0.28) and 2.47(+/- 0.20), respectively. An A(z) value of 0.90 was achieved in distinguishing between gene mutation carriers and low-risk women in the entire database, with an A(z) value of 0.89 being achieved on the age-matched subset. Conclusions: The BRCA1/BRCA2 gene mutation carriers and low-risk women have different mammographic parenchymal patterns. It is expected that women identified as high risk by computerized feature analyses might potentially be more aggressively screened for breast cancer.