Regional Medical Physics Department, Freeman Hospital, Newcastle-upon-Tyne NE7 7DN, UK.
Br J Radiol. 2010 Jun;83(990):515-23. doi: 10.1259/bjr/68799159.
A number of studies have identified the relationship between the visual appearance of high breast density at mammography and an increased risk of breast cancer. Approaches to quantify the amount of glandular tissue within the breast from mammography have so far concentrated on image-based methods. Here, it is proposed that the X-ray parameters automatically selected by the mammography unit can be used to estimate the thickness of glandular tissue overlying the automatic exposure sensor area, provided that the unit can be appropriately calibrated. This is a non-trivial task for modern mammography units that feature automatic beam quality selection, as the number of tube potential and X-ray target/filter combinations used to cover the range of breast sizes and compositions can be large, leading to a potentially unworkable number of curve fits and interpolations. Using appropriate models for the attenuation of the glandular breast in conjunction with a constrained set of physical phantom measurements, it is demonstrated that calibration for X-ray absorptiometry can be achieved despite the large number of possible exposure factor combinations employed by modern mammography units. The main source of error on the estimated glandular tissue thickness using this method is shown to be uncertainty in the measured compressed breast thickness. An additional correction for this source of error is investigated and applied. Initial surveys of glandular thickness for a cohort of women undergoing breast screening are presented.
许多研究已经确定了乳房 X 光摄影中高乳房密度的外观与乳腺癌风险增加之间的关系。从乳房 X 光摄影中定量评估乳腺中腺体组织数量的方法迄今为止一直集中在基于图像的方法上。在这里,有人提出,可以使用乳房 X 光摄影设备自动选择的 X 射线参数来估计自动曝光传感器区域上方腺体组织的厚度,前提是设备可以进行适当的校准。对于具有自动射线质选择功能的现代乳房 X 光摄影设备来说,这是一项艰巨的任务,因为用于覆盖乳房大小和组成范围的管电压和 X 射线靶/滤光片组合数量可能很多,从而导致曲线拟合和插值的数量可能非常庞大。结合腺体乳房衰减的适当模型以及受约束的物理体模测量集,尽管现代乳房 X 光摄影设备采用了大量可能的曝光因子组合,仍可以实现 X 射线吸收计量学的校准。使用这种方法估计腺体组织厚度的主要误差源是测量的压缩乳房厚度的不确定性。研究并应用了对此误差源的额外校正。对正在接受乳房筛查的女性队列的腺体厚度进行了初步调查。