Diagnostic criteria for mass lesions differentiating in electrical impedance mammography

Karpov, A; Korotkova, M

doi:10.1088/1742-6596/434/1/012053

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…Optimization of RF thermal ablation depends upon the availability of detailed and accurate electrical properties of tissues, and these properties can also be of use in detection of the tumor for diagnostics purposes. In fact, knowledge of tissue electrical properties has been used to distinguish between normal tissue and tumor tissue for breast cancer and cervical carcinomas (Kerner et al 2002, Miranda et al 2012, Karpov et al 2013.…”

Section: Introductionmentioning

confidence: 99%

Ex vivoelectrical impedance measurements on excised hepatic tissue from human patients with metastatic colorectal cancer

et al. 2015

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Point-wise ex vivo electrical impedance spectroscopy measurements were conducted on excised hepatic tissue from human patients with metastatic colorectal cancer using a linear four-electrode impedance probe. This study of 132 measurements from 10 colorectal cancer patients, the largest to date, reports that the equivalent electrical conductivity for tumor tissue is significantly higher than normal tissue (p < 0.01), ranging from 2-5 times greater over the measured frequency range of 100 Hz-1 MHz. Difference in tissue electrical permittivity is also found to be statistically significant across most frequencies. Furthermore, the complex impedance is also reported for both normal and tumor tissue. Consistent with trends for tissue electrical conductivity, normal tissue has a significantly higher impedance than tumor tissue (p < 0.01), as well as a higher net capacitive phase shift (33° for normal liver tissue in contrast to 10° for tumor tissue).

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Section: Introductionmentioning

confidence: 99%

Ex vivoelectrical impedance measurements on excised hepatic tissue from human patients with metastatic colorectal cancer

et al. 2015

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“…The results of 3D EIT imaging were analyzed independently based on visual interpretation and quantitative evaluation of breast tissues and according to the main diagnostic criteria previously reported from Russia (13)(14)(15). The breast's structure, contour, focal changes of electrical conductivity, and bilateral breast conductivity differences were evaluated to analyze the possibility of pathological changes in the patient's breast.…”

Section: Image Analysismentioning

confidence: 99%

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

et al. 2021

Gland Surg

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Background: Three-dimensional electrical impedance tomography (3D EIT) is a novel, non-invasive, radiationfree imaging technology for breast cancer screening. This study aimed to identify characteristics and classification of 3D EIT breast cancer imaging that could provide diagnostic accuracy and prognostic value for breast cancer patients.Methods: A total of 645 suspicious breast lesions [Breast Imaging Reporting and Data System (BI-RADS) III, IV, V] identified by mammography or ultrasound were examined with 3D EIT (MEIK, SIM-Technika, Yaroslavl, Russia). Breast tissue conductivity was quantified using MEIK 5.6 software. Diagnostic performance of visually interpreted 3D EIT was assessed using histology (surgical excision or vacuum core biopsy) and clinical follow-up. Kaplan-Meier analysis was used to calculate progression-free survival (PFS) and overall survival (OS) rates. Hazard ratio (HR) with a 95% confidence interval (95% CI) for various clinicopathological variables were determined using univariate and multivariate Cox regression models.Results: Breast cancer was confirmed in 272 of 645 patients by histopathology and other diagnostic imaging modalities. Among the confirmed cases, 218 patients had positive 3D EIT findings. The sensitivity, specificity, accuracy, positive likelihood, and negative likelihood ratios of 3D EIT were 80.1%, 75.1%, 77.2%, 70.1%, and 83.8%. There were no significant differences in the diagnostic accuracy, sensitivity, or specificity between 3D EIT and mammography, ultrasound, or combined mammography and ultrasound. 3D EIT breast cancer images were classified into 3 different types, including Ia [non-complicated breast cancer (NCBC), 62 cases], Ib [complicated breast cancer (CBC), 131 cases], and Ic [edematous-infiltrative breast cancer (EIBC), 25 cases], which were associated with tumor size (P<0.001), TNM stage (P<0.001), and lymph node metastasis (P=0.012). At 5-year follow-up, multivariate analysis demonstrated that breast cancer 3D EIT imaging classification was an independent predictor for decreased OS (HR: 2.399, 95% CI: 1.035, 5.564, P=0.041) and PFS (HR: 2.836, 95% CI: 1.555, 5.172, P=0.012) in patients with breast cancer. Conclusions: 3D EIT breast cancer images were classified into 3 types based on different image characteristics. 3D EIT appeared to be useful in clinical diagnostic performance and prognostic evaluation in patients with breast cancer.

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“…Furthermore, many reports over the past century have shown that the electrical properties of tumor-bearing tissue differ from normal tissue with sufficient contrast for distinguishing tissue heterogeneities in animal and human tissue (Fricke and Morse 1926, Haemmerich et al 2003, 2009, Laufer et al 2010, Prakash et al 2015. In fact, tissue electrical properties have been used to distinguish between normal tissue and tumor tissue for breast cancer and cervical carcinomas (Kerner et al 2002, Miranda et al 2012, Karpov and Korotkova 2013, Ma and Soleimani 2020 with an expanded data set recently reported for evaluating properties of CRC tissues at different tumor stages (Li et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of electrical properties of ex vivo human hepatic tissue with metastatic colorectal cancer

et al. 2020

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Objective: To probe the distribution of electrical properties in tumor-bearing human hepatic tissues with metastatic colorectal cancer. Approach: Electrochemical impedance spectroscopy (EIS) and a non-contact electromagnetic probe were used for distinguishing spatial heterogeneities in fresh, unfixed human hepatic tissues ex vivo from patients with metastatic colorectal cancer (CRC). Main results: Point-wise EIS measurements reported over a frequency range of 100 Hz–1 MHz showed that the interface tissue between visible tumor and normal tissue exhibits an electrically different domain (p < 0.05) from both normal tissue (over 100 Hz–100 kHz) and tumor tissue (over 100 Hz–1 MHz). Observations of the microstructure on tumor-bearing hepatic tissue from hematoxylin and eosin stained images and the equivalent circuit modelling were used to validate the impedance measurements and characterize previously unidentified interfacial domain between normal and tumor tissue. Lastly, in a proof of concept study, a new in-house designed non-contact electromagnetic probe, as opposed to the invasive EIS measurements, was demonstrated for distinguishing tumor tissue from the normal tissue in a hepatic tissue specimen from a patient with metastatic CRC. Significance: EIS measurements, correlated with histological observations, show potential for mapping electrical properties in tumor-bearing human hepatic tissue.

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Diagnostic criteria for mass lesions differentiating in electrical impedance mammography

Cited by 4 publications

References 3 publications

Ex vivoelectrical impedance measurements on excised hepatic tissue from human patients with metastatic colorectal cancer

Ex vivoelectrical impedance measurements on excised hepatic tissue from human patients with metastatic colorectal cancer

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

Evaluation of electrical properties of ex vivo human hepatic tissue with metastatic colorectal cancer

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