Opportunistic Breast Density Assessment in Women Receiving Low-dose Chest Computed Tomography Screening.
Opportunistic Breast Density Assessment in Women Receiving Low-dose Chest Computed Tomography Screening.
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DOI：
10.1016/j.acra.2016.05.003
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发表时间：
2016-09
影响因子：
4.8
通讯作者：
Su MY
中科院分区：
文献类型：
--
作者：
Chen JH;Chan S;Lu NH;Li Y;Tsai YC;Huang PY;Chang CJ;Su MY
低剂量胸部计算机断层扫描（LDCT）越来越多地用于肺癌筛查，也可用于测量乳腺密度，这被证明是乳腺癌的一个风险因素。在这项研究中，我们开发了一种分割方法来测量定量乳腺密度的CT图像和相关的MR密度。40名健康女性同时接受LDCT和乳腺磁共振成像（MRI）进行了研究。应用半自动方法对LDCT图像上的乳腺密度进行量化。评价了操作员内和操作员间的重现性。MRI上的体积密度通过使用完善的基于模板的自动分割方法获得。比较LDCT和MRI测量的乳腺体积（BV）、纤维腺体组织体积（FV）和乳腺密度百分比（PD）。LDCT图像上BV、FV和PD的测量结果高度一致，操作者内重现性的组内相关系数（ICC）分别为BV 0.999、FV 0.977和PD 0.966;操作者间重现性的组内相关系数（ICC）分别为BV 0.953、FV 0.974和PD 0.973。LDCT和MRI测量的BV、FV和PD具有良好的相关性（均r≥0.90）。Bland-Altman图显示LDCT测量的BV和FV大于MRI。初步结果表明，定量乳腺密度可以从LDCT测量，我们的分割方法可以产生高的重复性上测得的体积和百分比乳腺密度。LDCT和MRI测量结果高度相关。我们的研究结果表明，LDCT可以提供有价值的信息乳腺密度评估乳腺癌的风险。
Low dose chest computed tomography (LDCT), increasingly being used for screening of lung cancer, may also be used to measure breast density, which is proven as a risk factor for breast cancer. In this study we developed a segmentation method to measure quantitative breast density on CT images and correlated with MR density. Forty healthy females receiving both LDCT and breast magnetic resonance imaging (MRI) were studied. A semi-automatic method was applied to quantify the breast density on LDCT images. The intra-, inter-operator reproducibility was evaluated. The volumetric density on MRI was obtained by using a well-established automatic template-based segmentation method. The breast volume (BV), fibroglandular tissue volume (FV), and percent breast density (PD) measured on LDCT and MRI were compared. The measurements of BV, FV, and PD on LDCT images yields highly consistent results, with the intraclass correlation coefficient (ICC) of 0.999 for BV, 0.977 for FV, and 0.966 for PD for intra-operator reproducibility; and ICC of 0.953 for BV, 0.974 for FV, and 0.973 for PD for inter-operator reproducibility. The BV, FV, and PD measured on LDCT and MRI were well correlated (all r≥0.90). Bland-Altman plots showed that a larger BV and FV were measured on LDCT compared with MRI. The preliminary results showed that quantitative breast density can be measured from LDCT, and that our segmentation method could yield a high reproducibility on the measured volume and percent breast density. The results measured on LDCT and MRI were highly correlated. Our results showed that LDCT may provide valuable information about breast density for evaluating breast cancer risk.