A Case Study in Breast Density Evaluation Using Bioimpedance Measurements

M Gutiérrez-Lopez, J Prado-Olivarez… - Sensors, 2022 - mdpi.com
M Gutiérrez-Lopez, J Prado-Olivarez, C Matheus-Troconis, A Padilla-Medina
Sensors, 2022mdpi.com
(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 …
(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.
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