Literature DB >> 15319563

Microwave detection of metastasized breast cancer cells in the lymph node; potential application for sentinel lymphadenectomy.

Jin Wook Choi1, Jeiwon Cho, Yangsoo Lee, Jounghwa Yim, Byoungjoong Kang, Ki Keun Oh, Woo Hee Jung, Hee Jung Kim, Changyul Cheon, Hy-De Lee, Youngwoo Kwon.   

Abstract

Metastasis is the leading cause of death in breast cancer patients and an appropriate detection of metastasis can provide better prognosis and quality treatments. Microwaves can reveal the unique electromagnetic properties of materials, and this study aims to unleash the electromagnetic properties of breast cancer cells, especially, metastasized cancer cells in the lymph nodes, using broad-band microwaves in attempts to detect metastases. To distinguish the cancer-specific patterns of cancer tissues, three primary microwave parameters were assessed, i.e., permittivity in mid-band frequency (3-5 GHz), conductivity in high-band frequencies (25-30 GHz) and slope changes of permittivity at high-band frequencies (15-30 GHz). An additional parameter, Cancer Metastasis Index (CMI), was developed to effectively represent all parameters. Broadband microwave scanning can reveal cancer specific electromagnetic behaviors in all three parameters, and these were reliably reflected by CMI. CMI effectively magnified the difference of the electromagnetic properties between normal nodal tissues and cancer tissues. immunohistochemistries were performed to verify the origin of electromagnetic changes represented by CMI values. Copyright 2004 Kluwer Academic Publishers

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Year:  2004        PMID: 15319563     DOI: 10.1023/b:brea.0000032979.52773.fb

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  8 in total

1.  [Analysis of dielectric properties of metastatic and non-metastatic lymph nodes from lung cancer surgeries using an open-ended coaxial probe].

Authors:  Ying Sun; Hongfeng Yu; Difu Zhou; Xuegang Xin; Di Lu; Kaican Cai; Xuefei Yu
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2019-11-30

2.  A Phantom Study of Terahertz Spectroscopy and Imaging of Micro- and Nano-diamonds and Nano-onions as Contrast Agents for Breast Cancer.

Authors:  Tyler Bowman; Alec Walter; Olga Shenderova; Nicholas Nunn; Gary McGuire; Magda El-Shenawee
Journal:  Biomed Phys Eng Express       Date:  2017-09-13

Review 3.  Microwave Imaging for Early Breast Cancer Detection: Current State, Challenges, and Future Directions.

Authors:  Nour AlSawaftah; Salma El-Abed; Salam Dhou; Amer Zakaria
Journal:  J Imaging       Date:  2022-04-23

Review 4.  Evidence for overuse of medical services around the world.

Authors:  Shannon Brownlee; Kalipso Chalkidou; Jenny Doust; Adam G Elshaug; Paul Glasziou; Iona Heath; Somil Nagpal; Vikas Saini; Divya Srivastava; Kelsey Chalmers; Deborah Korenstein
Journal:  Lancet       Date:  2017-01-09       Impact factor: 79.321

Review 5.  Recent Advances in Microwave Imaging for Breast Cancer Detection.

Authors:  Sollip Kwon; Seungjun Lee
Journal:  Int J Biomed Imaging       Date:  2016-12-21

6.  Development of an Anthropomorphic Phantom of the Axillary Region for Microwave Imaging Assessment.

Authors:  Matteo Savazzi; Soroush Abedi; Niko Ištuk; Nadine Joachimowicz; Hélène Roussel; Emily Porter; Martin O'Halloran; Jorge R Costa; Carlos A Fernandes; João M Felício; Raquel C Conceição
Journal:  Sensors (Basel)       Date:  2020-09-02       Impact factor: 3.576

7.  Dielectric property measurements for the rapid differentiation of thoracic lymph nodes using XGBoost in patients with non-small cell lung cancer: a self-control clinical trial.

Authors:  Di Lu; Jinxing Peng; Zhongju Wang; Ying Sun; Jianxue Zhai; Zhizhi Wang; Zhiming Chen; Yuji Matsumoto; Long Wang; Sherman Xuegang Xin; Kaican Cai
Journal:  Transl Lung Cancer Res       Date:  2022-03

Review 8.  Review of Microwaves Techniques for Breast Cancer Detection.

Authors:  Maged A Aldhaeebi; Khawla Alzoubi; Thamer S Almoneef; Saeed M Bamatraf; Hussein Attia; Omar M Ramahi
Journal:  Sensors (Basel)       Date:  2020-04-22       Impact factor: 3.576

  8 in total

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