Literature DB >> 25226977

Dielectric properties of human liver from 10 Hz to 100 MHz: normal liver, hepatocellular carcinoma, hepatic fibrosis and liver hemangioma.

Hang Wang1, Yong He2, Min Yang2, Qingguo Yan3, Fusheng You1, Feng Fu1, Ting Wang1, Xuyang Huo1, Xiuzhen Dong1, Xuetao Shi1.   

Abstract

The dielectric properties of human liver were determined by characterization of tissue absorption and coupling of electromagnetic energy in the electromagnetic field. In this study the ex-vivo dielectric properties of human hepatocellular carcinoma (well and moderately differentiated), liver hemangioma, hepatic fibrosis (stages S1 and S2), and normal liver tissue were measured and analyzed over the frequency range of 10 Hz to 100 MHz. The dielectric properties over the frequency range can reflect tissue information including biological macromolecules, vesicles, and cellular membrane; these information aids in distinguishing different physiological states and lesions. The ex-vivo conductivity, permittivity, resistivity, as well as the characteristic parameters between the lesions and normal liver were analyzed and their differences were also verified. The data can contribute to developing bioelectric applications for tissue diagnostics and creating more accurate computer models for medical applications.

Entities:  

Keywords:  Dielectric property; characteristic parameters; hepatic fibrosis; liver cancer

Mesh:

Year:  2014        PMID: 25226977     DOI: 10.3233/BME-141090

Source DB:  PubMed          Journal:  Biomed Mater Eng        ISSN: 0959-2989            Impact factor:   1.300


  3 in total

1.  [Support vector machine?assisted diagnosis of human malignant gastric tissues based on dielectric properties].

Authors:  Sa Zhang; Zhou Li; Xue-Gang Xin
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-12-20

2.  [Discrimination of lung cancer and adjacent normal tissues based on permittivity by optimized probabilistic neural network].

Authors:  Hongfeng Yu; Ying Sun; Di Lu; Kaican Cai; Xuefei Yu
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2020-10-30

3.  Classification of Metastatic and Non-Metastatic Thoracic Lymph Nodes in Lung Cancer Patients Based on Dielectric Properties Using Adaptive Probabilistic Neural Networks.

Authors:  Di Lu; Hongfeng Yu; Zhizhi Wang; Zhiming Chen; Jiayang Fan; Xiguang Liu; Jianxue Zhai; Hua Wu; Xuefei Yu; Kaican Cai
Journal:  Front Oncol       Date:  2021-03-05       Impact factor: 6.244

  3 in total

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