Literature DB >> 18642968

The use of tissue electrical characteristics for breast cancer detection: a perspective review.

E Y K Ng1, S Vinitha Sree, K H Ng, G Kaw.   

Abstract

Breast cancer is the most frequently occurring malignancy in women. It is characterized by a high mortality rate. For the purpose of detecting this life threatening disease, research efforts are being made worldwide to exploit new technologies, to improve the detection accuracy of current devices and to develop new detection devices, comprehensive diagnostic procedures, and protocols. One such technology that is gaining popular attention over the recent years is the usage of electrical characteristics of the breast tissue to differentiate normal and cancerous tissues. Most of the devices using this technology are currently being used as adjunct diagnostic tools to improve the detection accuracy of established techniques like mammography and ultrasound. Also, early detection of breast cancer can help save many thousands of lives every year and can also reduce unnecessary healthcare expenditure caused by advanced stage treatment options. Hence, more research is also being done to adapt these devices into screening tools for early detection of breast cancer. The main objective of this review is to highlight the features of the currently available commercial devices that use this technology for breast cancer detection. The electrical behavior of normal and cancerous breast tissues is first presented. The various commercial devices that utilize electrical impedance or electropotentials for breast cancer detection are then described. Finally, conclusions and potential areas of research are highlighted.

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Mesh:

Year:  2008        PMID: 18642968     DOI: 10.1177/153303460800700404

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  8 in total

1.  Evaluation of the efficiency of biofield diagnostic system in breast cancer detection using clinical study results and classifiers.

Authors:  Vinitha Sree Subbhuraam; E Y K Ng; G Kaw; Rajendra Acharya U; B K Chong
Journal:  J Med Syst       Date:  2010-02-23       Impact factor: 4.460

2.  Confidence intervals and bands for the binormal ROC curve revisited.

Authors:  Eugene Demidenko
Journal:  J Appl Stat       Date:  2011-12-12       Impact factor: 1.404

3.  Diagnostic accuracy and prognostic value of three-dimensional electrical impedance tomography imaging in patients with breast cancer.

Authors:  Feng Xu; Mengxin Li; Jie Li; Hongchuan Jiang
Journal:  Gland Surg       Date:  2021-09

4.  Dielectric properties for non-invasive detection of normal, benign, and malignant breast tissues using microwave theories.

Authors:  Yiou Cheng; Minghuan Fu
Journal:  Thorac Cancer       Date:  2018-02-21       Impact factor: 3.500

5.  Dielectric Properties for Differentiating Normal and Malignant Thyroid Tissues.

Authors:  Yiou Cheng; Minghuan Fu
Journal:  Med Sci Monit       Date:  2018-03-02

6.  Evaluation on Phantoms of the Feasibility of a Smart Bra to Detect Breast Cancer in Young Adults.

Authors:  Marie-Valérie Moreno; Edouard Herrera
Journal:  Sensors (Basel)       Date:  2019-12-12       Impact factor: 3.576

7.  RapidET: a MEMS-based platform for label-free and rapid demarcation of tumors from normal breast biopsy tissues.

Authors:  Anil Vishnu G K; Gayatri Gogoi; Bhagaban Behera; Saeed Rila; Annapoorni Rangarajan; Hardik J Pandya
Journal:  Microsyst Nanoeng       Date:  2022-01-17       Impact factor: 7.127

Review 8.  Potassium and Chloride Ion Channels in Cancer: A Novel Paradigm for Cancer Therapeutics.

Authors:  Umberto Banderali; Luigi Leanza; Najmeh Eskandari; Saverio Gentile
Journal:  Rev Physiol Biochem Pharmacol       Date:  2022       Impact factor: 5.545

  8 in total

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