Sak Mark, Duric Neb, Littrup Peter, Bey-Knight Lisa, Ali Haythem, Vallieres Patricia, Sherman Mark E, Gierach Gretchen L
Delphinus Medical Technologies, Plymouth, MI, USA.
Delphinus Medical Technologies, Plymouth, MI, USA.
Ultrasound Med Biol. 2017 Jan;43(1):91-103. doi: 10.1016/j.ultrasmedbio.2016.08.021. Epub 2016 Sep 29.
A population of 165 women with negative mammographic screens also received an ultrasound tomography (UST) examination at the Karmanos Cancer Institute in Detroit, MI. Standard statistical techniques were employed to measure the associations between the various mammographic- and UST-related density measures and various participant characteristics such as age, weight and height. The mammographic percent density (MPD) was found to have similar strength associations with UST mean sound speed (Spearman coefficient, r = 0.722, p < 0.001) and UST median sound speed (r = 0.737, p < 0.001). Both were stronger than the associations between MPD with two separate measures of UST percent density, a k-means (r = 0.568, p < 0.001) or a threshold (r = 0.715, p < 0.001) measure. Segmentation of the UST sound speed images into dense and non-dense volumes showed weak to moderate associations with the mammographically equivalent measures. Relationships were found to be inversely and weakly associated between age and the UST mean sound speed (r = -0.239, p = 0.002), UST median sound speed (r = -0.226, p = 0.004) and MPD (r = -0.204, p = 0.008). Relationships were found to be inversely and moderately associated between body mass index (BMI) and the UST mean sound speed (r = -0.429, p < 0.001), UST median sound speed (r = -0.447, p < 0.001) and MPD (r = -0.489, p < 0.001). The results confirm and strengthen findings presented in previous work indicating that UST sound speed imaging yields viable markers of breast density in a manner consistent with mammography, the current clinical standard. These results lay the groundwork for further studies to assess the role of sound speed imaging in risk prediction.
在密歇根州底特律市的卡尔马诺斯癌症研究所,165名乳房X光筛查呈阴性的女性也接受了超声断层扫描(UST)检查。采用标准统计技术来测量各种与乳房X光和UST相关的密度测量值与年龄、体重和身高之类的各种参与者特征之间的关联。结果发现,乳房X光密度百分比(MPD)与UST平均声速(斯皮尔曼系数,r = 0.722,p < 0.001)和UST中位数声速(r = 0.737,p < 0.001)具有相似强度的关联。这两者的关联都强于MPD与UST密度百分比的两种单独测量值之间的关联,即k均值测量值(r = 0.568,p < 0.001)或阈值测量值(r = 0.715,p < 0.001)。将UST声速图像分割为致密和非致密体积显示,其与乳房X光等效测量值之间的关联较弱至中等。研究发现,年龄与UST平均声速(r = -0.239,p = 0.002)、UST中位数声速(r = -0.226,p = 0.004)和MPD(r = -0.204,p = 0.008)之间呈负相关且关联较弱。研究发现,体重指数(BMI)与UST平均声速(r = -0.429,p < 0.001)、UST中位数声速(r = -0.447,p < 0.001)和MPD(r = -0.489,p < 0.001)之间呈负相关且关联中等。这些结果证实并强化了先前研究中提出的发现,表明UST声速成像能够以与当前临床标准乳房X光检查一致的方式产生可行的乳房密度标志物。这些结果为进一步研究评估声速成像在风险预测中的作用奠定了基础。