Electrical Impedance Tomography as a Primary Screening Technique for Breast Cancer Detection

Akhtari-Zavare, Mehrnoosh; Latiff, Latiffah Abd

doi:10.7314/apjcp.2015.16.14.5595

Cited by 22 publications

(14 citation statements)

References 15 publications

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“…The application of 3D EIT technology to detect human breast disease has grown in recent years (16,17). The benefits of 3D EIT include speed, low cost, no radiation, and the advantages of 3D visualization, quantitative evaluation, and functional imaging (18). The pathophysiology of breast cancer might be associated with changes in neoplastic cell membrane permeability, which can be revealed through EIT technology (19).…”

Section: Discussionmentioning

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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Section: Discussionmentioning

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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“…An obvious difference in trans‐epithelium potential (TEP) was observed between that of the normal and transformed breast epithelium [Marino et al, 1994]. The electropotential measurements were applied clinically to diagnose the early onset of breast cancer [Cuzick et al, 1998; Akhtari‐Zavare and Latiff, 2015]. Several studies have demonstrated abnormal EF properties around the tumor tissue in vivo [Melczer and Kiss, 1957; Mishra et al, 2013].…”

Section: Introductionmentioning

confidence: 99%

Transcriptional Analysis of Mice Melanoma B16‐F10 Cells in Response to Directed Current Electric Fields

Yun

Jin

Sun

et al. 2022

Bioelectromagnetics

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The endogenous electric field (EF) is widely observed among tissues. It is supposed to be an important environmental factor in tumor metastasis. To explore the role of endogenous EFs in tumor metastasis, the migration of mouse melanoma B16-F10 cells in directed current EFs (dcEFs) was investigated. The transcriptome of melanoma B16-F10 cells in response to EF stimulation was analyzed using RNA sequencing. The results demonstrated that the mouse melanoma B16-F10 cells migrated toward the cathode in applied dcEFs. Directional migration occurred in a voltagedependent manner. Approximately 3000 upregulated and 2613 downregulated genes were identified under dcEF. Some genes correlated with cell migration, such as Serpine1, Ctgf, Fosb, and Fos, were upregulated. The signaling pathways involved in cell motility were significantly altered. Some genes, highly related to tumorigenesis, invasion, and metastasis, are upregulated in response to EF stimulation. Endogenous EFs may play a role in tumorigenesis and metastasis in vivo.

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“…In the past three decades, several research groups have investigated EMI for imaging the electromagnetic properties (EPs, conductivity, permittivity, and permeability) of biological tissues using low-frequency (<10MHz) electromagnetic (EM) spectrum [ 6 , 7 , 8 , 9 ]. EMI has been applied to detect several diseases, including gastric emptying [ 10 ], lung ventilation [ 11 ], breast cancer [ 12 ], prostate cancer [ 13 ], pulmonary perfusion [ 14 ], and acute cerebral stroke [ 15 ]. EMI has been extensively studied for monitoring neurological diseases and injuries, including hemorrhagic stroke [ 16 ], ischemic stroke [ 17 ], and brain edema [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Holographic Electromagnetic Imaging for Accessing Brain Stroke

Wang

2018

Sensors

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The authors recently developed a two-dimensional (2D) holographic electromagnetic induction imaging (HEI) for biomedical imaging applications. However, this method was unable to detect small inclusions accurately. For example, only one of two inclusions can be detected in the reconstructed image if the two inclusions were located at the same XY plane but in different Z-directions. This paper provides a theoretical framework of three-dimensional (3D) HEI to accurately and effectively detect inclusions embedded in a biological object. A numerical system, including a realistic head phantom, a 16-element excitation sensor array, a 16-element receiving sensor array, and image processing model has been developed to evaluate the effectiveness of the proposed method for detecting small stroke. The achieved 3D HEI images have been compared with 2D HEI images. Simulation results show that the 3D HEI method can accurately and effectively identify small inclusions even when two inclusions are located at the same XY plane but in different Z-directions. This preliminary study shows that the proposed method has the potential to develop a useful imaging tool for the diagnosis of neurological diseases and injuries in the future.

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Electrical Impedance Tomography as a Primary Screening Technique for Breast Cancer Detection

Cited by 22 publications

References 15 publications

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

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

Transcriptional Analysis of Mice Melanoma B16‐F10 Cells in Response to Directed Current Electric Fields

Three-Dimensional Holographic Electromagnetic Imaging for Accessing Brain Stroke

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