Electrical Impedance Tomography Technical Contributions for Detection and 3D Geometric Localization of Breast Tumors: A Systematic Review

Gómez-Cortés, Juan Carlos; Díaz-Carmona, Javier; Padilla-Medina, José Alfredo; Calderón, Alejandro Espinosa; Barranco-Gutiérrez, Alejandro I.; Prado-Olivarez, Juan

doi:10.3390/mi13040496

Cited by 8 publications

(6 citation statements)

References 55 publications

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“…For instance, standard biochemical assays to evaluate viability and cytotoxicity (such as the acid phosphatase activity, the MTT, the Trypan Blue exclusion, and the lactate dehydrogenase assay) were found to be inefficient in 3D spheroids, usually due to the incomplete probe penetration and limited sensitivity ( 115 – 118 ). Optical, phase contrast, confocal, fluorescence and electron microscopic techniques are reported to be particularly valuable for characterizing spheroid size, morphology and internal organization ( 119 – 121 ). However, 3D model imaging is generally affected by poor light penetration, light scattering by cells, and high background ( 117 , 118 , 122 ).…”

Section: D Models: Bridging the Gap Between Cell Cultures And Live Ti...mentioning

confidence: 99%

3D cancer models: One step closer to in vitro human studies

et al. 2023

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Cancer immunotherapy is the great breakthrough in cancer treatment as it displayed prolonged progression-free survival over conventional therapies, yet, to date, in only a minority of patients. In order to broad cancer immunotherapy clinical applicability some roadblocks need to be overcome, first among all the lack of preclinical models that faithfully depict the local tumor microenvironment (TME), which is known to dramatically affect disease onset, progression and response to therapy. In this review, we provide the reader with a detailed overview of current 3D models developed to mimick the complexity and the dynamics of the TME, with a focus on understanding why the TME is a major target in anticancer therapy. We highlight the advantages and translational potentials of tumor spheroids, organoids and immune Tumor-on-a-Chip models in disease modeling and therapeutic response, while outlining pending challenges and limitations. Thinking forward, we focus on the possibility to integrate the know-hows of micro-engineers, cancer immunologists, pharmaceutical researchers and bioinformaticians to meet the needs of cancer researchers and clinicians interested in using these platforms with high fidelity for patient-tailored disease modeling and drug discovery.

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Section: D Models: Bridging the Gap Between Cell Cultures And Live Ti...mentioning

confidence: 99%

3D cancer models: One step closer to in vitro human studies

et al. 2023

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“…Electrical impedance tomography (EIT) is a method that is based on the measurement of the electrical impedance of body tissues and can provide images of the internal structures of the body without using harmful radiation or invasive procedures [ 19 ]. EIT has been used in a variety of medical applications, such as monitoring lung function [ 20 ], detecting breast cancer [ 21 , 22 ] and monitoring brain activity [ 23 ]. However, it is not commonly used in robotic rehabilitation.…”

Section: Introductionmentioning

confidence: 99%

Development of a New Control System for a Rehabilitation Robot Using Electrical Impedance Tomography and Artificial Intelligence

Abbasimoshaei,

Chinnakkonda Ravi,

Kern

2023

Biomimetics

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In this study, we present a tomography-based control system for a rehabilitation robot using a novel approach to assess advancement and a dynamic model of the system. In this model, the torque generated by the robot and the impedance of the patient’s hand are used to determine each step of the rehabilitation. In the proposed control architecture, a regression model is developed and implemented based on the extraction of tomography signals to estimate the muscles state. During the rehabilitation session, the torque applied by the patient is adjusted according to this estimation. The first step of this protocol is to calculate the subject-specific parameters. These include the axis offset, inertia parameters, passive damping and stiffness. The second step involves identifying the other elements of the model, such as the torque resulting from interaction. In this case, the robot will calculate the torque generated by the patient. The developed robot-based solution and the suggested protocol were tested on different participants and showed promising results. First, the prediction of the impedance–position relationship was evaluated, and the prediction was below 2% error. Then, different participants with different impedances were tested, and the results showed that the control system controlled the force and position for each participant individually.

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“…6 Electrical impedance tomography (EIT) is an imaging technique that maps the resistivity or difference in resistivity of biological tissues from electrical signals. 7 PanSeer is a non-invasive blood test based on circulating tumor DNA methylation. 8 photoacoustic computed tomography (3D-PACT) allows multi-purpose imaging to reveal detailed angiographic information in biological tissues.…”

Section: Introductionmentioning

confidence: 99%

Field Effect Detection by Light Scattering in the Breast Cancer Risk Determination

Pinto

Torrado

Miranda

2023

Preprint

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Breast cancer is one of the most common causes of death in women worldwide; however, early detection could mitigate theassociated number of deaths, where new screening techniques applicable to the entire risk population are the key to achievingthis goal. By identifying the risk population, it is easier to plan cancer prevention programs and contribute to reducing thenumber of deaths from breast cancer; however, despite new promising technologies for early cancer detection, there arefew proposals available to achieve massively applicable techniques to screen the entire breast cancer risk population. Wepresent a proof-of-concept for screening breast cancer using a noninvasive and potentially low-cost technique that detects thecancerization field effect by spectral analysis (FEDSA) using near-infrared backscattered light. To test the concept of FEDSA todetect cancer, we performed FEDSA measurements in 24 women divided into two groups, the first group of 17 normal womenand the second group of seven women with previously detected abnormalities in the breast; we identified significant differencesin the FEDSA spectra of both groups, suggesting the potential of FEDSA as a promising screening technique for the earlydetection of breast cancer.

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Electrical Impedance Tomography Technical Contributions for Detection and 3D Geometric Localization of Breast Tumors: A Systematic Review

Cited by 8 publications

References 55 publications

3D cancer models: One step closer to in vitro human studies

3D cancer models: One step closer to in vitro human studies

Development of a New Control System for a Rehabilitation Robot Using Electrical Impedance Tomography and Artificial Intelligence

Field Effect Detection by Light Scattering in the Breast Cancer Risk Determination

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