Electronics Engineering Department, Tecnológico Nacional de México (TecNM), Campus I, Celaya 38010, Mexico.
Centro de Diagnóstico Médico, Celaya 38070, Mexico.
Sensors (Basel). 2022 Apr 2;22(7):2747. doi: 10.3390/s22072747.
(1) Background: As breast cancer studies suggest, a high percentage of breast density (PBD) may be related to breast cancer incidence. Although PBD screening is one of the strongest predictors of breast cancer risk, X-ray-based mammography evaluation is subjective. Therefore, new objective PBD measuring techniques are of interest. A case study analyzing the PBD of thirteen female participants using a bioimpedance-based method, the anomalies tracking circle (ATC), is described in this paper. (2) Methods: In the first stage, the breast bioimpedance of each participant was measured. Then, the participant breast density was determined by applying a mammogram just after the breast bioimpedance measurement stage. In the third stage, the ATC algorithm was applied to the measured bioimpedance data for each participant, and a results analysis was done. (3) Results: An ATC variation according to the breast density was observed from the obtained data, this allowed the use of classification techniques to determine the PBD. (4) Conclusions: The described breast density method is a promising approach that might be applied as an auxiliary tool to the mammography in order to obtain precise and objective results for evaluation of breast density and with that determine potential breast cancer risk.
(1) 背景:乳腺癌研究表明,高百分比的乳房密度(PBD)可能与乳腺癌的发病率有关。虽然 PBD 筛查是预测乳腺癌风险的最强指标之一,但基于 X 射线的乳房 X 线照相评估是主观的。因此,新的客观 PBD 测量技术引起了人们的兴趣。本文描述了一项使用基于生物阻抗的方法(异常跟踪圆(ATC))对 13 名女性参与者的 PBD 进行分析的案例研究。(2) 方法:在第一阶段,测量了每个参与者的乳房生物阻抗。然后,在乳房生物阻抗测量阶段之后,通过应用乳房 X 光检查来确定参与者的乳房密度。在第三阶段,将 ATC 算法应用于每个参与者的测量生物阻抗数据,并进行结果分析。(3) 结果:从获得的数据中观察到了根据乳房密度的 ATC 变化,这使得可以使用分类技术来确定 PBD。(4) 结论:所描述的乳房密度方法是一种很有前途的方法,它可以作为乳房 X 光检查的辅助工具,以便获得评估乳房密度的精确和客观结果,并确定潜在的乳腺癌风险。