Electrical Impedance Mammography: Screening and Basic Principles

Karpov, A; Korotkova, M; Шиферсон, Г С; Kotomina, Elena

doi:10.5772/intechopen.89140

Cited by 3 publications

(3 citation statements)

References 29 publications

(40 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Хотя в проводимых исследованиях основной целью не являлось обнаружение неинвазивных карцином МЖ, при помощи электроимпедансной ММГ были обнаружены DCIS, которые позднее подтвердились морфологически. Данный факт говорит о достаточно высокой чувствительности метода [44][45][46]. К необыденным методикам относят инфракрасное исследование молочных желёз -радиотермометрическую ММГ.…”

Section: результатыunclassified

Modern visualization diagnostic methods of non-invasive breast carcinomas (review of literature)

Maksimov,

Morozov,

Penyaz'

et al. 2024

vmirvz

View full text Add to dashboard Cite

Relevance. Breast carcinomas (BC) remain one of the most actual problems of modern oncology. According to statistics, the incidence of BC is steadily increasing, making it the most common cancer pathology among women. In this situation, the aspect of diagnosing BC at early, non-invasive stages, is certainly important, which still reduces mortality, increases the possibility of organ-preserving treatment, duration and quality of life of patients.The purpose of study. The purpose of study is to investigate and perform a comparative analysis of imaging techniques for the diagnosis of non-invasive breast carcinomas.Materials and methods. Modern Russian and foreign literature about the diagnosis of non-invasive breast carcinomas was analyzed. Publications not older than 7 years published in specialized medical editions were taken into account Results. Not only main, but also new, promising imaging modalities that are not currently part of routine practice were analyzed. The main imaging patterns in non-invasive breast carcinomas (DCIS, LCIS and Paget's breast cancer), feasibility and prognostic value of certain diagnostic methods in different nosologies of this disease were also discussed.Conclusion. The statistics provided explain the importance of breast carcinomas problem, as well as the relevance of its diagnosis at non-invasive stages. According to the authors, the issue of accurate diagnosis of breast cancer in situ is subject to further discussion and study, but we would like to note that when non-invasive breast carcinoma is suspected and doubtful imaging results are obtained, one should not limit oneself only to routine methods of imaging studies, but expand further diagnostic tactics until accurate results are obtained and a final diagnosis is made.

show abstract

Section: результатыunclassified

Modern visualization diagnostic methods of non-invasive breast carcinomas (review of literature)

Maksimov,

Morozov,

Penyaz'

et al. 2024

vmirvz

View full text Add to dashboard Cite

show abstract

“…Holder et al [1] summarized the following areas of application development (non-exhaustive) [1]: taking chest images for heart function and breathing disorders, detection of insufficiency, monitoring of brain function, detection of breast cancer, monitoring of stomach function with magnetic resonance examination combined tomography, and industrial applications such as measurements related to material transport, pharmaceuticals, and chemical process monitoring. Additional examples of applications can be found in the following areas: medical applications mainly in the field of breast [21,22] and lung examinations [23][24][25], living tree examinations [26,27], industrial process monitoring [28,29], and geophysical tests [30,31].…”

Section: Related Workmentioning

confidence: 99%

Lumped Element Method Based Conductivity Reconstruction Algorithm for Localization Using Symmetric Discrete Operators on Coarse Meshes

et al. 2023

View full text Add to dashboard Cite

The inverse conductivity problem in electrical impedance tomography involves the solving of a nonlinear and under-determined system of equations. This paper presents a new approach, which leads to a quadratic and overdetermined system of equations. The aim of the paper is to establish new research directions in handling of the inverse conductivity problem. The basis of the proposed method is that the material, which can be considered as an isotropic continuum, is modeled as a linear network with concentrated parameters. The weights of the obtained graph represent the properties of the discretized continuum. Further, the application of the developed procedure allows for the dielectric constant to be used in the multi-frequency approach, as a result of which the optimized system of equations always remains overdetermined. Through case studies, the efficacy of the reconstruction method by changing the mesh resolution applied for discretizing is presented and evaluated. The presented results show, that, due to the application of discrete, symmetric mathematical structures, the new approach even at coarse mesh resolution is capable of localizing the inhomogeneities of the material.

show abstract

“…A low index of electrical conductivity is typical for a breast containing a large number of cellular elements and a high concentration of ions, which corresponds to an acinar-ductal type of breast structure. While, a high electrical conductivity index is typical for a breast containing a large number of fat lobules and connective tissue and a low concentration of ions, which corresponds to an amorphous structure of the breast [55].…”

Section: A Datamentioning

confidence: 99%

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

et al. 2021

View full text Add to dashboard Cite

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.

show abstract

Electrical Impedance Mammography: Screening and Basic Principles

Cited by 3 publications

References 29 publications

Modern visualization diagnostic methods of non-invasive breast carcinomas (review of literature)

Modern visualization diagnostic methods of non-invasive breast carcinomas (review of literature)

Lumped Element Method Based Conductivity Reconstruction Algorithm for Localization Using Symmetric Discrete Operators on Coarse Meshes

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

Contact Info

Product

Resources

About