A Review of Parameters for the Bioelectrical Characterization of Breast Tissue

Jossinet, J.; Schmitt, Michel

doi:10.1111/j.1749-6632.1999.tb09446.x

Cited by 145 publications

(109 citation statements)

References 14 publications

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“…Furthermore, the estimations of dielectric properties in scenario (iii) also agreed well with previous ex vivo studies such as [37,38,40,42]. However, Haemmerich et al [43] observed a change in some dielectric parameters after excising tissue and attributed those changes to variations of temperature, tissue dehydration and ischemic effects.…”

Section: Dielectric Propertiessupporting

confidence: 79%

Numerical Modelling for Ultra Wideband Radar Breast Cancer Detection and Classification

ConceiÃ§Ã£o¹,

O’Halloran²,

Glavin³

et al. 2011

PIER B

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Abstract-Microwave Imaging is one of the most promising emerging imaging technologies for breast cancer detection, and exploits the dielectric contrast between normal and malignant breast tissue at microwave frequencies. The development of many UWB Radar imaging approaches requires the use of accurate numerical models for the propagation and scattering of microwave signals within the breast. The Finite-Difference Time-Domain (FDTD) method is the most commonly used numerical modelling technique used to model the propagation of Electromagnetic (EM) waves in biological tissue. However, it is critical that an FDTD model accurately represents the dielectric properties of the constituent tissues, including tumour tissues, and the highly correlated distribution of these tissues within the breast. This paper presents a comprehensive review of the latest findings regarding dielectric properties of normal and cancerous breast tissue, and the heterogeneity of normal breast tissue. Furthermore, existing FDTD models of the breast described in the literature are examined.

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Section: Dielectric Propertiessupporting

confidence: 79%

Numerical Modelling for Ultra Wideband Radar Breast Cancer Detection and Classification

ConceiÃ§Ã£o¹,

O’Halloran²,

Glavin³

et al. 2011

PIER B

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“…Moderate result for sensitivity and specificity may be due to declining breast density among this age group of women (Milanese et al, 2006). As images for EIT depend on the capabilities of the software to map algorithmic calculations of electrical conductivity through breast tissues, low density breast may cause low quality of images (Jossinet and Schmitt, 1999). This study tends to be different from few studies which showed that the sensitivity and specificity of EIT and mammography were almost equal (Prasad et al, 2008;Raneta et al, 2012).…”

Section: Discussionmentioning

confidence: 68%

Validation of Electrical Impedance Tomography Qualitative and Quantitative Values and Comparison of the Numeric Pain Distress Score against Mammography

Juliana

Shahar²,

Chelliah³

et al. 2014

Asian Pacific Journal of Cancer Prevention

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Electrical impedance tomography (EIT) is a potential supplement for mammogram screening. This study aimed to evaluate and feasibility of EIT as opposed to mammography and to determine pain perception with both imaging methods. Women undergoing screening mammography at the Radiology Department of National University of Malaysia Medical Centre were randomly selected for EIT imaging. All women were requested to give a pain score after each imaging session. Two independent raters were chosen to define the image findings of EIT. A total of 164 women in the age range from 40 to 65-year-old participated and were divided into two groups; normal and abnormal. EIT sensitivity and specificity for rater 1 were 69.4% and 63.3, whereas for rater 2 they were 55.3% and 57.0% respectively. The reliability for each rater ranged between good to very good (p<0.05). Quantitative values of EIT showed there were significant differences in all values between groups (ANCOVA, p<0.05). Interestingly, EIT scored a median pain score of 1.51±0.75 whereas mammography scored 4.15±0.87 (Mann Whitney U test, p<0.05). From these quantitative values, EIT has the potential as a health discriminating index. Its ability to replace image findings from mammography needs further investigation.

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“…Microwave scanning technique for breast cancer diagnosis depends on large discrepancies in dielectric properties between normal and tumor tissues [15][16][17][18][19]. The dielectric properties of breast tissue in diversified frequency ranges have been studied by many different research groups, demonstrating that differences in the relative permittivity are sufficient for the microwave image.…”

Section: Dielectric Properties Of Breast Tissuesmentioning

confidence: 99%

“…Microwave imaging depends on the dielectric properties of malignant tumor and surrounding tissues for breast cancer detection [15][16][17][18][19][20][21][22]. The dielectric properties of the tissues consist of two basic parameters called relative permittivity and conductivity.…”

Section: Dielectric Properties Of Breast Tissuesmentioning

confidence: 99%

Mikrodalgalarla Meme Kanseri Tespitinde Kireçtaşının Etkisi

Aydın

2017

Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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Breast cancer is the most widespread type of cancer among women around the world. Initial stage cancer detection is the most important in terms of reproducing of the tumors in an uncontrolled way and spreading to the other organs. Microwave imaging method is relatively effective method compared to other tools which are X-ray mammography, Magnetic resonance imaging (MRI) and ultrasound. They have some shortfalls such as X-ray mammography suffers from high missed-detection and false-detection rates. Also, it is ionizing and uncomfortable compression of the breast. Because of this, microwave imaging method has the potential to overcome the some shortfalls of the X-ray mammography, MRI, and other existing known methods. In addition, Ultra-wide band (UWB) radar technique is a quite attractive technology for many applications, especially for early breast cancer detection. In this paper, both an UWB bow-tie antenna with enhanced bandwidth and a 3D breast model which has varied permittivity and conductivity is designed in CST software simulation tool to solve electromagnetic field values. Return loss and radiation pattern characteristics which are significant antenna parameters are simulated and obtained whether the antenna possess an efficient characteristic or not. Tumor cannot be detected by existing methods since there is limestone layer, which is occurred by milk ducts, surrounding of tumor. Therefore, limestone's effect on the tumor is studied in order to investigate the radiation from the skin with reference to whether there is limestone or not surrounding of tumor. Also, electric field and magnetic field values over the breast tissue with tumor or tumor which is surrounded by limestone, or without tumor, and limestone instead of tumor are evaluated. Limestone's effect is clearly observed when there is limestone surrounding of tumor or not. So, limestone is a crucial factor for breast cancer detection methods. sahiptirler. Ayrıca, radyasyon yayıcı olması ve memeyi sıkıştırması rahatsızlık vericidir. Bu nedenle, mikrodalga görüntüleme yöntemi; X-ışını mamografi, MRG ve bilinen diğer mevcut yöntemlerin bazı eksikliklerinin üstesinden gelme potansiyeline sahiptir. Buna ek olarak, Ultra geniş bant (UWB) radar tekniği birçok uygulamada, özellikle erken meme kanseri tespiti için oldukça ilgi çekici bir teknolojidir. Bu makalede, gelişmiş/ultra bant genişliğine (UWB) sahip bir UWB bow-tie anteni ve çeşitli geçirgenliğe ve iletkenliğe sahip olan bir 3-boyutlu meme modeli, CST yazılım simülasyon programında, elektromanyetik alan değerlerini çözmek üzere tasarlanmıştır. Önemli anten parametreleri olan geri dönüş kaybı ve ışıma örüntü özellikleri simüle edilir ve antenin etkin bir karakteristik olup olmadığı elde edilir. Mevcut olan yöntemlerle, tümör etrafı süt kanallarından dolayı meydana gelen kireçtaşı tabakasından dolayı tespit edilememektedir. Bu nedenle, kireçtaşının tümör üzerindeki etkisi, tümörün çevresinde kireç taşı olup olmadığına bakılarak derideki radyasyonun araştırılması için incelenir. Ayrıca, meme...

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A Review of Parameters for the Bioelectrical Characterization of Breast Tissue

Cited by 145 publications

References 14 publications

Numerical Modelling for Ultra Wideband Radar Breast Cancer Detection and Classification

Numerical Modelling for Ultra Wideband Radar Breast Cancer Detection and Classification

Validation of Electrical Impedance Tomography Qualitative and Quantitative Values and Comparison of the Numeric Pain Distress Score against Mammography

Mikrodalgalarla Meme Kanseri Tespitinde Kireçtaşının Etkisi

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