School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Department of Gerontology, Hospital of the University of Electronic Science and Technology of China and Sichuan Provincial People's Hospital, Chengdu, China.
Thorac Cancer. 2018 Apr;9(4):459-465. doi: 10.1111/1759-7714.12605. Epub 2018 Feb 21.
Despite the high incidence of breast cancer worldwide, methods for early non-invasive diagnosis and sensitive and specific prognostic evaluation remain difficult. In this study, we investigated microwave parameters as a potential non-invasive approach to detect breast cancer.
Samples of freshly excised breast tissues (n = 509) from 98 patients were identified as normal, benign tumor, or malignant cancer via histology. Further samples were prepared and the microwave effective dielectric permittivity and effective conductivity were measured every 0.0375 GHz from 0.5 GHz to 8 GHz. These parameters were compared among the breast tissue types.
The effective relative permittivity and effective conductivity at each frequency was significantly higher in breast cancer tissues compared with benign tumors, which in turn was significantly higher than in normal breast tissue. The standard deviation of each parameter was narrowest at ~2.5 GHz in both normal and malignant breast tissues.
The effective dielectric permittivity and effective conductivity, measured via microwave technology, could differentiate breast cancer from normal and benign tumor tissues.
尽管全世界乳腺癌的发病率很高，但早期非侵入性诊断和敏感及特异性预后评估的方法仍然难以实现。在这项研究中，我们研究了微波参数作为一种潜在的非侵入性方法来检测乳腺癌。
通过组织学将 98 例患者的新鲜切除的乳腺组织（n=509）样本鉴定为正常、良性肿瘤或恶性癌症。进一步准备样本，并测量从 0.5 GHz 到 8 GHz 的每 0.0375 GHz 的微波有效介电常数和有效电导率。比较了这些参数在乳腺组织类型之间的差异。
与良性肿瘤相比，乳腺癌组织在每个频率的有效相对介电常数和有效电导率显著更高，而良性肿瘤又显著高于正常乳腺组织。在正常和恶性乳腺组织中，每个参数的标准偏差在~2.5 GHz 时最窄。
通过微波技术测量的有效介电常数和有效电导率可区分乳腺癌与正常和良性肿瘤组织。
