Cancer Registry of Norway, P.O. 5313, Majorstuen, 0304, Oslo, Norway.
Faculty of Health Science, Oslo and Akershus University College of Applied Sciences, Oslo, Norway.
Eur Radiol. 2018 Apr;28(4):1662-1672. doi: 10.1007/s00330-017-5104-5. Epub 2017 Nov 2.
To investigate possible associations between breast compression parameters, including compression force, pressure and compressed breast thickness, and mammographic density assessed by an automated software.
We obtained data on breast compression parameters, breast volume, absolute and percentage dense volume, and body mass index for 14,698 women screened with two-view (craniocaudal, CC, and mediolateral oblique, MLO) digital mammography, in the Norwegian Breast Cancer Screening Programme, 2014-2015. The Spearman correlation coefficient (ρ) was used to measure correlation between breast compression parameters, breast volume and absolute and percentage dense volume. Linear regression was used to examine associations between breast compression parameters and absolute and percentage dense volume, adjusting for breast volume, age and BMI.
A fair negative correlation was observed between compression pressure and absolute dense volume (ρ = - 0.37 for CC and ρ = - 0.34 for MLO). A moderate negative correlation was identified for compressed breast thickness and percentage dense volume (ρ = - 0.56 for CC and ρ = - 0.62 for MLO). These correlations were corroborated by the corresponding associations obtained in the adjusted regression analyses.
Results from this study indicate that breast compression parameters may influence absolute and percentage dense volume measured by the automated software.
• A fair correlation was identified between compression pressure and absolute dense volume • A moderate correlation was identified between compressed breast thickness and percentage dense volume • Breast compression may influence automated density estimates.
研究乳房压缩参数（包括压缩力、压力和压缩乳房厚度）与自动软件评估的乳房密度之间的可能关联。
我们获得了 2014-2015 年在挪威乳腺癌筛查计划中使用双视图（头尾位，CC 和内外斜位，MLO）数字乳房摄影进行筛查的 14698 名女性的乳房压缩参数、乳房体积、绝对和百分比致密体积以及体重指数的数据。使用 Spearman 相关系数（ρ）来测量乳房压缩参数、乳房体积和绝对及百分比致密体积之间的相关性。使用线性回归来检查乳房压缩参数与绝对和百分比致密体积之间的关联，同时调整了乳房体积、年龄和 BMI。
在 CC 和 MLO 中，压缩压力与绝对致密体积之间观察到适度的负相关（ρ=-0.37 和 ρ=-0.34）。在 CC 和 MLO 中，压缩乳房厚度与百分比致密体积之间观察到中度负相关（ρ=-0.56 和 ρ=-0.62）。这些相关性在调整后的回归分析中得到了相应的关联。
本研究结果表明，乳房压缩参数可能会影响自动软件测量的绝对和百分比致密体积。
• 压缩压力与绝对致密体积之间存在适度相关性
• 压缩乳房厚度与百分比致密体积之间存在中度相关性
• 乳房压缩可能会影响自动密度估计
