An Electrical Impedance Mammographic Scheme — Norms and Pathology

Karpov, A; Kolobanov, Andrey; Korotkova, M

doi:10.5772/60014

Cited by 2 publications

(4 citation statements)

References 7 publications

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“…For the classification of a patient (healthy or affected), test of differences in the form of distributions [λ criterion], i.e. Kolmogorov-Smirnov test in Dx modification, is used [41]. This criterion, which is a nonparametric test, allows to determine the statistical value of differences in the distribution of any normal or abnormal features, including the distribution of electrical conductivity in electrical impedance tomograms.…”

Section: Distorted Mammographic Scheme In Cases Of Breast Cancermentioning

confidence: 99%

“…This criterion, which is a nonparametric test, allows to determine the statistical value of differences in the distribution of any normal or abnormal features, including the distribution of electrical conductivity in electrical impedance tomograms. For the assessment of informativeness of distribution divergence, Kulback informativeness measure is applied [41]. High informativeness of the detected differences allows to refer the patient with high degree of probability to one class or the other (e.g.…”

Section: Distorted Mammographic Scheme In Cases Of Breast Cancermentioning

confidence: 99%

“…And distortion of normal mammographic scheme may occur at an early stage of the disease. This is the reason why this criterion is included in the EIM scale of breast cancer diagnostics [41].…”

Section: Distorted Mammographic Scheme In Cases Of Breast Cancermentioning

confidence: 99%

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Electrical Impedance Mammography: Screening and Basic Principles

Karpov¹,

Korotkova²,

Шиферсон³

et al. 2020

Breast Cancer and Breast Reconstruction

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Nowadays, screening uses the method of X-ray mammography for the early diagnosis of breast cancer. However, as a screening method, X-ray mammography has its limitations, such as age, periodicity of screening, 'dense' mammary gland and dynamic survey (repeated radiation). In order to overpass these limitations, more advanced alternative methods of breast examination should be used, which would be as effective as the 'golden standard.' Characteristics of electroimpedance diagnostics are given. The aim of screening is to detect breast cancer including early breast cancer (tumor size below 1 cm) and to form a survey of high-risk group. In order to reach these aims, the following actions need to be undertaken: search for areas with anomalous conductivity, detection of distorted mammographic scheme and evaluation of age-related electrical conductivity. The application of a scale for age-related breast conductivity with defined percentile limits allows to organize a survey group. Electrical properties of a cancerous tumor differ significantly from those of the surrounding tissues. Statistics of anomalous conductivity in cases of breast cancer is given. The disease development connected with the destruction of epithelial basement membrane is linked with various phenomena occurring in the tumor and the surrounding tissues. Statistics of disrupted mammographic scheme in cases of cancer is given.

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Section: Distorted Mammographic Scheme In Cases Of Breast Cancermentioning

confidence: 99%

Section: Distorted Mammographic Scheme In Cases Of Breast Cancermentioning

confidence: 99%

See 1 more Smart Citation

Electrical Impedance Mammography: Screening and Basic Principles

Karpov¹,

Korotkova²,

Шиферсон³

et al. 2020

Breast Cancer and Breast Reconstruction

Self Cite

View full text Add to dashboard Cite

show abstract

“…An algorithm for estimating both the location and size of abnormalities in an electrically conductive medium based on the EIT technique was developed in [16], [17]. A mammogram scheme of electrical impedance which describes information regarding standards and pathology on this topic was proposed by Karpov et al [18].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning for the Analysis of Conductivity From Mono Frequency Electrical Impedance Mammography as a Breast Cancer Risk Factor

et al. 2021

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Computational approaches have been used for analyzing risk factors together with conventional mammograms for breast cancer detection. Currently, other screening methods like electro-impedance mammography are available. Notwithstanding, as far as we know there is not related work evaluating the role of electrical-conductivity index of the mammary gland as a quantitative factor for early detection of breast cancer. This paper aims to demonstrate the importance of including breast conductivity index as a quantitative local risk-factor by analyzing a dataset of Mexican patients from a machine learning perspective. There are 12 attributes distributed into two groups: electrical-conductivity (3) and medical records (9). According to the obtained results with unsupervised methods, the performance in terms of accuracy of using only electrical-conductivity (43%) is better than using all available features (38%) and the medical records (33%). On the other hand, we identified that SVM achieves higher results in comparison with other algorithms when only the electrical-features are used. The obtained results demonstrate the important role of conductivity index as a quantitative local risk-factor for being considered in screening processes. Besides, it emerges as an important aspect to be included in the development of automatic tools for experts to perform breast cancer diagnosis.INDEX TERMS Electro-impedance, conductivity, machine learning, mammography MEIK, risk factor.

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An Electrical Impedance Mammographic Scheme — Norms and Pathology

Cited by 2 publications

References 7 publications

Electrical Impedance Mammography: Screening and Basic Principles

Electrical Impedance Mammography: Screening and Basic Principles

Machine Learning for the Analysis of Conductivity From Mono Frequency Electrical Impedance Mammography as a Breast Cancer Risk Factor

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