Liu Haishun, Zhao Ke, Liu Xiangyi, Zhang Zhenwei, Qian Jingyu, Zhang Cunlin, Liang Meiyan
Key Laboratory of Terahertz Optoelectronics, Ministry of Education, and Beijing Advanced Innovation Center for Imaging Technology, Department of Physics, Capital Normal University, Beijing 100048, China.
Department of Medical Laboratory, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.
Biomed Opt Express. 2020 Aug 14;11(9):5045-5059. doi: 10.1364/BOE.392860. eCollection 2020 Sep 1.
A novel strategy on combining variational mode decomposition (VMD) and composite weighted-scale sample entropy (CWSE) modified from composite multiscale entropy (CMSE) is proposed to screen hepatocellular carcinoma (HCC) by measuring the terahertz (THz) pulse signals of ten normal and ten HCC serums. Eight measured HCC specimens are negative in serum biomarker alpha fetoprotein (AFP) determination. In CWSE, the time series with weighted-scales are generated from the weighted average processing in the coarse-grained time series corresponding to each scale of the CMSE algorithm. VMD served as a preprocessing method was introduced into decomposing THz signal to obtain the mode functions of specific bandwidth for identification. Final results reveal that more obtainable entropy values of CWSE for recognition in comparison to those of CMSE on the basis of the rule of statistically significant difference and effect size and also manifest the stronger discriminability than the traditional THz parameters. This study provides a new potential auxiliary tool for diagnosis HCC and develops the methodology on the discrimination for similar THz signals.
提出了一种将变分模态分解（VMD）与从复合多尺度熵（CMSE）修改而来的复合加权尺度样本熵（CWSE）相结合的新策略，通过测量10份正常血清和10份肝癌血清的太赫兹（THz）脉冲信号来筛查肝细胞癌（HCC）。8例被测肝癌标本的血清生物标志物甲胎蛋白（AFP）测定为阴性。在CWSE中，加权尺度的时间序列是通过对CMSE算法各尺度对应的粗粒化时间序列进行加权平均处理生成的。引入VMD作为预处理方法对THz信号进行分解，以获得用于识别的特定带宽的模态函数。最终结果表明，基于统计学显著差异和效应量的规则，CWSE在识别方面比CMSE具有更多可获得的熵值，并且也表现出比传统THz参数更强的判别能力。本研究为肝癌诊断提供了一种新的潜在辅助工具，并发展了相似THz信号的判别方法。
