Measurement of the Electrical Bio-Impedance of Breast Tumors

Morimoto, Takahiro; Kinouchi, Y.; Iritani, Tadamitsu; Kimura, Satoshi; Konishi, Yôtarô; Mitsuyama, N; Komaki, Kansei; Monden, Yasumasa

doi:10.1159/000129087

Cited by 82 publications

(43 citation statements)

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“…A variety of bioelectric properties have been used as detection modalities for tumors; these capitalize on cancer cells' distinct electrical impedance [367][368][369][370][371][372][373][374][375][376][377][378][379][380][381] or ion content [382,383]. Zeta potential is also associated with cancer; for example asbestos fibers and sheets of positively-charged materials (but not powders of the same material) induce tumors, probably by acting as a capacitor for bioelectric potential, the positive side corresponding to the electron sink existing at a wound (reviewed in [384]).…”

Section: A Unique Bioelectric Signature Reveals Incipient Cancermentioning

confidence: 99%

Cancer as a disorder of patterning information: computational and biophysical perspectives on the cancer problem

Moore

Walker

Levin

2017

Converg. Sci. Phys. Oncol.

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TOPICAL REVIEWCancer as a disorder of patterning information: computational and biophysical perspectives on the cancer problem IntroductionCancer is well-recognized not only as an extremely pernicious medical problem, but also as a group of phenomena deeply connected to the fundamental questions of evolution, multicellularity, pattern (disregulation, and the interplay between the genome and the environment [1,2]. Two fundamental paradigms currently divide the field. One is that cancer results from disorders of genetics: cancer cells are fundamentally broken due to genomic mutation or instability, and their clonal progeny form tumors and metastases. This view is sometimes called the SMT, somatic mutation theory [3][4][5]. A competing perspective is that of cancer as a circuit disease-a disorder of the complex biophysical, transcriptional, and epigenetic dynamics that regulate cellular state and the ability of cells to cooperate in vivo [6][7][8]. Under this view (sometimes called the tissue organization field theory or TOFT, [9,10]), cancer is akin to a traffic jam [11]-the problem is not a permanent discrete alteration within a founder cell and all of its clonal descendants, but an undesirable stable attractor in the complex network of controls that normally guides anatomical homeostasis [12].The relative merits of the two models have been discussed extensively [10,[13][14][15][16][17] AbstractThe current paradigm views cancer as arising clonally from a degradation of genetic information in single cells. A complementary perspective, originating at the dawn of modern developmental biology, is that cancer is the result of a system disorder of algorithms that normally orchestrate individual cell activities toward specific anatomical structures and away from tumorigenesis. A view of cancer as a disease of geometry focuses on the pathways that allow cells to cooperate to build and maintain large-scale anatomical patterning. Cancer may result when cells stop maintaining higher-order structures and reduce the boundary of their computational selves to a single-cell level, reverting to a unicellular lifestyle in which the rest of the organism is merely part of the environment at the expense of which all living things survive. While this view has been widely discussed, little progress has been made in providing a quantitative, mechanistic framework within which this perspective's specific and unique implications for treatment strategies can be tested and biomedically exploited. Here, we highlight two recent areas of progress which may facilitate much-needed progress on the cancer problem. First, we review the roles that endogenous bioelectrical networks, operating across many tissues in vivo, play as a medium of information processing in tumor suppression, progression, and reprogramming. Second, we provide a primer to the development of computational theory and tools for quantifying the information and causal control structures in cancer and other complex biological systems. Rigorous mathematical formalisms now exist to...

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Section: A Unique Bioelectric Signature Reveals Incipient Cancermentioning

confidence: 99%

Cancer as a disorder of patterning information: computational and biophysical perspectives on the cancer problem

Moore

Walker

Levin

2017

Converg. Sci. Phys. Oncol.

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“…Extensive pre-clinical data established the scientific basis for EIS showing differences in impedance properties between malignant and normal tissue [13][14][15][16][17][18][19][20][21][22]. Despite wide-ranging experimental work and technological development, only recently have high-speed software processing platforms made possible clinically useful EIS cancer detection systems.…”

Section: Introductionmentioning

confidence: 99%

Prospective study of electrical impedance scanning for identifying young women at risk for breast cancer

Stojadinovic

Moskovitz

Gallimidi

et al. 2006

Breast Cancer Res Treat

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“…Although the reasons of changed electrical properties in malignant tissue are still under discussion and remain, at least in part, still unclear, these electrical modifications might be attributed to increased cellular water and salt content, altered membrane permeability, and changed packing density and orientation of cells [6,7,8,9,10]. Electrical impedance scanning (EIS) is a novel technique of breast imaging using the altered properties of electrical conductance and capacitance of malignant lesion as compared with normal breast tissue [1,11].…”

Section: Introductionmentioning

confidence: 99%

Electrical impedance scanning in breast cancer imaging: correlation with mammographic and histologic diagnosis

Martín

Martín²,

Brieva

et al. 2002

Eur Radiol

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This work was addressed to study correlations between histopathology of breast malignancy and variations in depth, intensity, multiplicity, and simultaneous capacitance-conductance features of electrical impedance scanning (EIS), in cases presenting mammographic findings. The EIS was performed in 74 patients. The entrance criterion was the presence of either suspicious or dubious mammography. The EIS evaluation was unblinded to mammographic data. The histologic findings of patients eligible for biopsy (Bi-rads 4, 5, and Bi-rads 0 after re-evaluation) were correlated to EIS and mammography. Depth localization of lesion, intensity, multiplicity, and capacitance-conductance features of the EIS signals were evaluated. There was association between histopathological diagnosis and EIS results. The presence of multiplicity of EIS signal, or simultaneous capacitance-conductance signals, was significantly ( p<0.05) more frequent in cases with either suspicious mammography or malignant biopsy than those dubious for mammography or with benign biopsy. There was no significant relationship between depth and intensity of EIS signal. In 15 (20%) cases there was discordance among mammography, EIS, and histology (controversial cases). Six of these 15 (40%) were perimenopausal women. Benign proliferating lesion was diagnosed in 6 of 15 (40%) controversial cases. It is concluded that the multiplicity of EIS spots and simultaneousness of capacitance and conductance signals were attributed to malignancy. Detection of false-positive EIS results was common in perimenopausal patients (40%). Patients with benign proliferating lesions presented also false positivity to EIS. Mammography and EIS had similar rates of false-positive findings in this study.

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Measurement of the Electrical Bio-Impedance of Breast Tumors

Cited by 82 publications

References 0 publications

Cancer as a disorder of patterning information: computational and biophysical perspectives on the cancer problem

Cancer as a disorder of patterning information: computational and biophysical perspectives on the cancer problem

Prospective study of electrical impedance scanning for identifying young women at risk for breast cancer

Electrical impedance scanning in breast cancer imaging: correlation with mammographic and histologic diagnosis

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