School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.
Department of Surgery, Mayo Clinic, Rochester, Minnesota.
Lymphat Res Biol. 2020 Oct;18(5):448-454. doi: 10.1089/lrb.2019.0087. Epub 2020 Feb 17.
Bioimpedance spectroscopy (BIS) measurements of breast lymphedema poses practical and technical challenges, in particular the determination of the resistance at zero frequency (R), the index of change in breast lymph content. Conventionally, R is calculated from data analysis by using a procedure eponymously known as Cole modeling, a method that is error-prone in the breast. The aim of this study was to evaluate polynomial curve fitting as an alternative analytic procedure. A sub-set of breast BIS measurements from 41 women with self-ascribed breast lymphedema obtained as part of the Breast Edema Exercise Trial (BEET) were analyzed by both the Cole and polynomial methods. BIS files for all subjects were able to be analyzed by using the polynomial method but only 73% and 88% of data files were analyzed for the affected and unaffected breasts, respectively, by using the Cole method. For those files that were capable of being analyzed by both methods, R values were highly correlated ( = 0.99) but with a small (1.6%) although statistically significant difference (paired test, < 0.001) between methods. Analysis of BIS data using polynomial curve fitting is an acceptable and robust alternative to Cole modeling, particularly where impedance measurements are susceptible to technical sources of error of measurement. The small magnitude of difference observed between methods is unlikely to lead to misclassification of patients with lymphedema based on BIS assessment.
生物阻抗谱(BIS)测量乳房淋巴水肿存在实际和技术挑战,特别是确定零频率下的电阻(R),即乳房淋巴含量变化的指数。传统上,R 是通过使用一种名为 Cole 建模的数据分析程序来计算的,该方法在乳房中容易出错。本研究旨在评估多项式曲线拟合作为替代分析程序。
作为 Breast Edema Exercise Trial(BEET)的一部分,对 41 名自我诊断为乳房淋巴水肿的女性的乳房 BIS 测量的子集进行了分析,分别使用 Cole 和多项式方法进行了分析。所有受试者的 BIS 文件都可以使用多项式方法进行分析,但 Cole 方法仅分析了受影响和未受影响乳房的 73%和 88%的数据文件。对于可以通过两种方法进行分析的文件,R 值高度相关(r=0.99),但方法之间存在小的(1.6%)但具有统计学意义的差异(配对检验,p<0.001)。使用多项式曲线拟合分析 BIS 数据是 Cole 建模的一种可接受且稳健的替代方法,特别是在阻抗测量易受测量技术误差源影响的情况下。观察到的方法之间的差异幅度较小,不太可能导致基于 BIS 评估对淋巴水肿患者的分类错误。