Breast density analysis of digital breast tomosynthesis.
Breast density analysis of digital breast tomosynthesis.
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DOI：
10.1038/s41598-023-45402-x
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发表时间：
2023-10-31
影响因子：
4.6
通讯作者：
Tworoger, Shelley S.
中科院分区：
文献类型：
--
作者：
Heine, John;Fowler, Erin E. E.;Weinfurtner, R. Jared;Hume, Emma;Tworoger, Shelley S.
在美国，乳房X光检查转向数字乳房断层合成(DBT)。为二维(2D)应用设计的自动乳房密度百分比(PD)技术通过DBT使用几种乳腺癌风险预测指标进行评估：归一化体积；密集体积；应用于体积切片和平均(切片-平均值)；并应用于合成2D图像。从理论上推导了容积法。PD被建模为压缩乳房厚度(CBT)的函数。对像素值的均值和标准差进行了研究。对一项配对病例对照研究(n = 426对)进行评价。以95%的可信区间估计奇比(OR)。ORS对PD有重要意义：对于体积测量和切片平均测量[OR = 1.43(1.18，1.72)]和合成图像[OR = 1.44(1.18，1.75)]是相同的。使用二次多项式(凹下)将PD作为CBT的函数进行建模：在CCS中，最大PD值的位置相似，发生在0.41CBT× ，且PD显著[OR = 1.47(1.21，1.78)]。体积图像和合成图像的平均值也有显著意义[ORS ~ 1.31(1.09，1.57)]。构建了另一种标准化的2D合成图像，其中每个像素值表示其位置以上的乳房密度的百分比。有几项措施意义重大，并产生了一种构建高度标准化的2D合成图像的替代方法。
Mammography shifted to digital breast tomosynthesis (DBT) in the US. An automated percentage of breast density (PD) technique designed for two-dimensional (2D) applications was evaluated with DBT using several breast cancer risk prediction measures: normalized-volumetric; dense volume; applied to the volume slices and averaged (slice-mean); and applied to synthetic 2D images. Volumetric measures were derived theoretically. PD was modeled as a function of compressed breast thickness (CBT). The mean and standard deviation of the pixel values were investigated. A matched case–control (CC) study (n = 426 pairs) was evaluated. Odd ratios (ORs) were estimated with 95% confidence intervals. ORs were significant for PD: identical for volumetric and slice-mean measures [OR = 1.43 (1.18, 1.72)] and [OR = 1.44 (1.18, 1.75)] for synthetic images. A 2nd degree polynomial (concave-down) was used to model PD as a function of CBT: location of the maximum PD value was similar across CCs, occurring at 0.41 × CBT, and PD was significant [OR = 1.47 (1.21, 1.78)]. The means from the volume and synthetic images were also significant [ORs ~ 1.31 (1.09, 1.57)]. An alternative standardized 2D synthetic image was constructed, where each pixel value represents the percentage of breast density above its location. Several measures were significant and an alternative method for constructing a standardized 2D synthetic image was produced.
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影响因子：
3.9
作者：
Bodewes, F. T. H.;van Asselt, A. A.;Dorrius, M. D.;Greuter, M. J. W.;de Bock, G. H.
通讯作者：
de Bock, G. H.
乳房X线图测量，乳腺癌密度和乳腺癌风险。
DOI：
10.2214/ajr.20.22794
发表时间：
2021-08
期刊：
AJR. American journal of roentgenology
影响因子：
--
作者：
通讯作者：
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影响因子：
3.8
作者：
Heine, JJ;Deans, SR;Clarke, LP
通讯作者：
Clarke, LP
影响因子：
19.7
作者：
Kontos, Despina;Winham, Stacey J.;Vachon, Celine M.
通讯作者：
Vachon, Celine M.
一种估计乳房密度的自动化方法。
影响因子：
3.8
作者：
Heine, John J.;Carston, Michael J.;Scott, Christopher G.;Brandt, Kathleen R.;Wu, Fang-Fang;Pankratz, Vernon Shane;Sellers, Thomas A.;Vachon, Celine M.
通讯作者：
Vachon, Celine M.