Biological tissues have complex electrical impedance related to the tissue dimension, the internal structure
and the arrangement of the constituent cells. Since different tissues have different conductivities and
permittivities, the electrical impedance can provide useful information based on heterogeneous tissue
structures, physiological states and functions. In vivo bio-impedance breast measurements proved to be a
dependable method where these measurements can be adopted to characterize breast tissue into normal
and abnormal by a developed normalized coefficient of variation (NCV) as a numerical criterion of the bioimpedance
measurements. In this study 26 breasts in 26 women have been scanned with a homemade
Electrical Bio-impedance System (EBS). Characteristic breast conductivity and permittivity measurements
emerged for Mammographically normal and abnormal cases. CV and NCV are calculated for each case,
and the value of NCVs greater than 1.00 corresponds to abnormalities, particularly tumours while NCVs
less than 1.00 correspond to normal cases. The most promising results of (NCV) for permittivity at 1 MHz,
it detects 73% of abnormal cases including 100% tumor cases while it detects 82% of normal cases. The
numerical criterion NCV of in-vivo bio-impedance measurements of the breast appears to be promising in
breast cancer screening.
Electrochemotherapy : principles, sessions, case studies, and machines.leroybiotech
Electrochemotherapy is a recent cutaneous tumors treatment for any type of animals.
In the 80s, specific electrical conditions that increase membrane cell permeability in vitro have been defined: principle of “electroporation” was born. The concept was developed and improved effectiveness of certain chemotherapeutic agents has been validated by early clinical studies in human and veterinary medicine in 1991 (Mir et al. 1991).
Thanks to a European project on human patients from 2006, named ESOPE (European Standard Operating Procedures of Electrochemotherapy), the technique of electrochemotherapy was standardized (Mir et al. 2006)
Electrochemotherapy is a new modality of treating skin metastases. I discuss here the indications and patient selection and success rates of other institutions.
This document provides information on the Electro Cancer Therapy as used by the Budwig Center in Spain. We have so far experienced some excellent results using this particular treatment with various forms of cancer including prostate, cervical, lung, breast and skin cancers. Visit us at http://www.budwigcenter.com for more information.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Sonodynamic and photodynamic therapy in advanced breast carcinoma: a report o...Renkang Hospital
Southern Medical University Renkang Hospital from China is a specialist in Oncology with advanced modern equipment like Sonophotodynamic therapy. It also feels proud for its scientific research, medical professionals, teaching methodology and utilization of advanced cancer treatment methods. Please feel free to contact on # +86 20 37611008 or email to admin@cancertherapies.cc
Electrochemotherapy : principles, sessions, case studies, and machines.leroybiotech
Electrochemotherapy is a recent cutaneous tumors treatment for any type of animals.
In the 80s, specific electrical conditions that increase membrane cell permeability in vitro have been defined: principle of “electroporation” was born. The concept was developed and improved effectiveness of certain chemotherapeutic agents has been validated by early clinical studies in human and veterinary medicine in 1991 (Mir et al. 1991).
Thanks to a European project on human patients from 2006, named ESOPE (European Standard Operating Procedures of Electrochemotherapy), the technique of electrochemotherapy was standardized (Mir et al. 2006)
Electrochemotherapy is a new modality of treating skin metastases. I discuss here the indications and patient selection and success rates of other institutions.
This document provides information on the Electro Cancer Therapy as used by the Budwig Center in Spain. We have so far experienced some excellent results using this particular treatment with various forms of cancer including prostate, cervical, lung, breast and skin cancers. Visit us at http://www.budwigcenter.com for more information.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Sonodynamic and photodynamic therapy in advanced breast carcinoma: a report o...Renkang Hospital
Southern Medical University Renkang Hospital from China is a specialist in Oncology with advanced modern equipment like Sonophotodynamic therapy. It also feels proud for its scientific research, medical professionals, teaching methodology and utilization of advanced cancer treatment methods. Please feel free to contact on # +86 20 37611008 or email to admin@cancertherapies.cc
MRgFUS in Locally Non-Advanced Prostate CancerINSIGHTEC Ltd
MR guided Focused Ultrasound in Locally Non-Advanced Prostate Cancer
MRgFUS
Sapienza University of Rome
Dpt of Radiological Sciences
MR guided Focused Ultrasound Therapy 2011
September 22-23 2011
Rome
ARTIFICIAL NEURAL NETWORK FOR DIAGNOSIS OF PANCREATIC CANCERIJCI JOURNAL
Cancer is malignant growth or tumour which forms due to an uncontrolled division of cells in a part of
body which may even lead to death. These are of different types depending upon the part of body affected.
If it is Pancreas then the disease is termed as Pancreatic Cancer. This paper presents an Artificial Neural
Network model to diagnose pancreatic cancer based on a set of symptoms. An ANN model is created after
analysing the actual procedure of disease diagnosis by the doctor. An approach to detect various stages of
cancer affected in pancreas is presented in the paper. Results of the study suggest the advantage of using
ANN model instead of manual disease diagnosis.
Peter Hamilton on Next generation Imaging and Computer Vision in Pathology: p...Cirdan
Automated image analysis has had a long history but continues to grow with massive improvements in algorithms, speed, performance, and with emerging opportunities for high throughput tissue biomarker analysis and automated decision support for primary diagnostics. Of particular importance is the development of computer vision and image analysis for H&E stained samples. This talk will outline recent advances in automated tissue analysis for biomarker discovery and diagnostics and how adoption of digital pathology will drive the demand for quantitative imaging and decision support.
As an example, PathXL have developed TissueMark for the automated identification and analysis of tumour in lung, colon, breast and prostate cancer digital H&E slides. The conventional pathological estimation of % tumour nuclei in H&E samples shows gross variation between pathologists, undermining the quality of next generation sequencing, molecular testing and patient therapy and potential of false negative diagnoses. TissueMark uses a combination of pattern recognition, glandular analysis and nuclear segmentation to identify premaligant and invasive cancer patterns in H&E stained tissues and use this to assess tumour cell numbers and annotate samples for nucleic acid extraction and molecular profiling. Benchmark data was generated to validate TissueMark technology and showed concordance of automated data with manual counts, accelerating tumour markup and improving sample quality assessment. This represents an example of how automated imaging of tissue samples can be of immense value in quantitative tumour analysis for molecular diagnostics, thereby improving reliability in discovery and diagnostics.
This together with other examples in pathology research and practice will demonstrate that next generation tissue imaging technology in digital pathology could radically change how pathology is practiced.
Multimodality Molecular Imaging – An Overview With Special Focus on PET/CTApollo Hospitals
Imaging capabilities have evolved from those that provide anatomical pictures to those that capture functional information and, more recently, molecular information (nuclear medicine, PET, SPECT, PET/CT, SPECT/CT, MRS, contrast-enhanced ultrasound, fluorescence and bioluminescence imaging). Multimodality imaging has emerged as a technology that utilizes the strengths of different modalities and yields a hybrid imaging platform with benefits superior to those of any of its individual components, considered alone. Leading edge hybrid imaging (combining multiple, complementary imaging technologies such as PET and CT) offer unique opportunities to “view” the molecular biology of disease, and the use of this equipment is on the rise.
Presentation about how much bioinformatics involved in the medical field. This was presented at the University of Colombo in 2007 for an undergraduate seminar
(December 2, 2021) The Bench to Bedside Series: Preclinical Cancer Research w...Scintica Instrumentation
Overview:
The goal of this webinar will be to provide a high-level overview of the various stages of preclinical cancer research and discuss the role that innovative instrumentation can play in moving science forward.
To better understand how to treat and control cancer, researchers start by investigating the basics – the cells, molecules, and genes that make up the human body. This type of study, which is often referred to as basic or discovery research, aims to understand the underlying mechanisms contributing to cancer growth and spread. This knowledge is an essential starting point for developing future diagnostic tests and treatment strategies.
After finding an innovative idea that works in cells, researchers need to take their studies to the next level by employing animal models that have similar biology to humans. Animal models have helped scientists make some of the most important cancer discoveries over the years. Furthermore, preclinical imaging technologies allow researchers to perform longitudinal animal studies that are noninvasive leaving the underlying biology intact so that one can track changes throughout the entire disease process.
It was previously thought that the journey from bench to bedside was unidirectional, starting with discovery research and moving towards clinical trials. However, in the last decade, it has become crucial for basic scientists and clinicians to work together towards finding innovative solutions that will positively impact patient care.
After attending this webinar, we hope you will have a better understanding of the preclinical workflow needed to push an idea from bench to bedside as well as some of the key equipment that is needed along the way.
This webinar series will be hosted by Drs. Katie Parkins and Tyler Lalonde, both of which have extensive experience in translational research areas including oncology, neuroscience, molecular imaging, and drug development.
In this webinar we will discuss the following topics:
• Introduction To Cancer Research
• What does “Bench to Bedside” mean?
• In vitro characterization
• Rapid throughput screening
• Quantitative tools
• Moving towards translation
https://www.snmclub.com/presentation
PET/MRI Current & Future Status
DALE BAILEY PhD , Principal Physicist
Departement of Nuclear Medicine, Royal North Shore Hospital
Professor in Medical Radiation Sciences, University of Sydney
Sydney, Australia
icrm2018
Applying Deep Learning to Transform Breast Cancer DiagnosisCognizant
Deep convolutional neural networks can assist pathologists in breast cancer diagnosis by automatically filtering benign tissue biopsies, identifying malignant regions and labeling important cellular features like nuclei for further analysis. Automatic detection of diagnostically relevant regions-of-interest and nuclei segmentation reduces the pathologist’s workload, while ensuring that no critical region is overlooked, rendering breast cancer diagnosis more reliable, efficient and cost-effective.
Molecular imaging has revolutionized our perceptions of imaging. This high impact field is finding transformative applications in the understanding, detection, and treatment of nearly all diseases.
The field of molecular imaging is a an exciting fusion and integration of many different disciplines including molecular biology, chemistry and probe design, imaging technologies, visualization, and image analysis, that are focused on understanding, detecting, and treating oncological, neurological, cardiovascular, inflammatory, metabolic, and infectious diseases. Based on their strengths, different imaging modalities provide different but equally valuable information that can be integrated in advancing our understanding of these diseases.
As the era of ‘omics’ progresses towards personalized medicine, the field of molecular imaging is finding multiple uses in noninvasive characterization of the molecular features of diseases and their impact on function. In complex diseases such as cancer, with its tremendous genetic diversity, it is becoming increasingly important to develop molecularly-targeted treatment strategies that combine detection with treatment.
A novel technique of radiation delivery with ultrahigh dose rate radiation therapy delivered in milisecond of time. Although, still in investigational phase
Mechanical signals inhibit growth of a grafted tumor in vivo proof of conceptRemy BROSSEL
We apply the principles of physical oncology (or mechanobiology) in vivo to show the effect of a “constraint field” on tumor growth.
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0152885
MRgFUS in Locally Non-Advanced Prostate CancerINSIGHTEC Ltd
MR guided Focused Ultrasound in Locally Non-Advanced Prostate Cancer
MRgFUS
Sapienza University of Rome
Dpt of Radiological Sciences
MR guided Focused Ultrasound Therapy 2011
September 22-23 2011
Rome
ARTIFICIAL NEURAL NETWORK FOR DIAGNOSIS OF PANCREATIC CANCERIJCI JOURNAL
Cancer is malignant growth or tumour which forms due to an uncontrolled division of cells in a part of
body which may even lead to death. These are of different types depending upon the part of body affected.
If it is Pancreas then the disease is termed as Pancreatic Cancer. This paper presents an Artificial Neural
Network model to diagnose pancreatic cancer based on a set of symptoms. An ANN model is created after
analysing the actual procedure of disease diagnosis by the doctor. An approach to detect various stages of
cancer affected in pancreas is presented in the paper. Results of the study suggest the advantage of using
ANN model instead of manual disease diagnosis.
Peter Hamilton on Next generation Imaging and Computer Vision in Pathology: p...Cirdan
Automated image analysis has had a long history but continues to grow with massive improvements in algorithms, speed, performance, and with emerging opportunities for high throughput tissue biomarker analysis and automated decision support for primary diagnostics. Of particular importance is the development of computer vision and image analysis for H&E stained samples. This talk will outline recent advances in automated tissue analysis for biomarker discovery and diagnostics and how adoption of digital pathology will drive the demand for quantitative imaging and decision support.
As an example, PathXL have developed TissueMark for the automated identification and analysis of tumour in lung, colon, breast and prostate cancer digital H&E slides. The conventional pathological estimation of % tumour nuclei in H&E samples shows gross variation between pathologists, undermining the quality of next generation sequencing, molecular testing and patient therapy and potential of false negative diagnoses. TissueMark uses a combination of pattern recognition, glandular analysis and nuclear segmentation to identify premaligant and invasive cancer patterns in H&E stained tissues and use this to assess tumour cell numbers and annotate samples for nucleic acid extraction and molecular profiling. Benchmark data was generated to validate TissueMark technology and showed concordance of automated data with manual counts, accelerating tumour markup and improving sample quality assessment. This represents an example of how automated imaging of tissue samples can be of immense value in quantitative tumour analysis for molecular diagnostics, thereby improving reliability in discovery and diagnostics.
This together with other examples in pathology research and practice will demonstrate that next generation tissue imaging technology in digital pathology could radically change how pathology is practiced.
Multimodality Molecular Imaging – An Overview With Special Focus on PET/CTApollo Hospitals
Imaging capabilities have evolved from those that provide anatomical pictures to those that capture functional information and, more recently, molecular information (nuclear medicine, PET, SPECT, PET/CT, SPECT/CT, MRS, contrast-enhanced ultrasound, fluorescence and bioluminescence imaging). Multimodality imaging has emerged as a technology that utilizes the strengths of different modalities and yields a hybrid imaging platform with benefits superior to those of any of its individual components, considered alone. Leading edge hybrid imaging (combining multiple, complementary imaging technologies such as PET and CT) offer unique opportunities to “view” the molecular biology of disease, and the use of this equipment is on the rise.
Presentation about how much bioinformatics involved in the medical field. This was presented at the University of Colombo in 2007 for an undergraduate seminar
(December 2, 2021) The Bench to Bedside Series: Preclinical Cancer Research w...Scintica Instrumentation
Overview:
The goal of this webinar will be to provide a high-level overview of the various stages of preclinical cancer research and discuss the role that innovative instrumentation can play in moving science forward.
To better understand how to treat and control cancer, researchers start by investigating the basics – the cells, molecules, and genes that make up the human body. This type of study, which is often referred to as basic or discovery research, aims to understand the underlying mechanisms contributing to cancer growth and spread. This knowledge is an essential starting point for developing future diagnostic tests and treatment strategies.
After finding an innovative idea that works in cells, researchers need to take their studies to the next level by employing animal models that have similar biology to humans. Animal models have helped scientists make some of the most important cancer discoveries over the years. Furthermore, preclinical imaging technologies allow researchers to perform longitudinal animal studies that are noninvasive leaving the underlying biology intact so that one can track changes throughout the entire disease process.
It was previously thought that the journey from bench to bedside was unidirectional, starting with discovery research and moving towards clinical trials. However, in the last decade, it has become crucial for basic scientists and clinicians to work together towards finding innovative solutions that will positively impact patient care.
After attending this webinar, we hope you will have a better understanding of the preclinical workflow needed to push an idea from bench to bedside as well as some of the key equipment that is needed along the way.
This webinar series will be hosted by Drs. Katie Parkins and Tyler Lalonde, both of which have extensive experience in translational research areas including oncology, neuroscience, molecular imaging, and drug development.
In this webinar we will discuss the following topics:
• Introduction To Cancer Research
• What does “Bench to Bedside” mean?
• In vitro characterization
• Rapid throughput screening
• Quantitative tools
• Moving towards translation
https://www.snmclub.com/presentation
PET/MRI Current & Future Status
DALE BAILEY PhD , Principal Physicist
Departement of Nuclear Medicine, Royal North Shore Hospital
Professor in Medical Radiation Sciences, University of Sydney
Sydney, Australia
icrm2018
Applying Deep Learning to Transform Breast Cancer DiagnosisCognizant
Deep convolutional neural networks can assist pathologists in breast cancer diagnosis by automatically filtering benign tissue biopsies, identifying malignant regions and labeling important cellular features like nuclei for further analysis. Automatic detection of diagnostically relevant regions-of-interest and nuclei segmentation reduces the pathologist’s workload, while ensuring that no critical region is overlooked, rendering breast cancer diagnosis more reliable, efficient and cost-effective.
Molecular imaging has revolutionized our perceptions of imaging. This high impact field is finding transformative applications in the understanding, detection, and treatment of nearly all diseases.
The field of molecular imaging is a an exciting fusion and integration of many different disciplines including molecular biology, chemistry and probe design, imaging technologies, visualization, and image analysis, that are focused on understanding, detecting, and treating oncological, neurological, cardiovascular, inflammatory, metabolic, and infectious diseases. Based on their strengths, different imaging modalities provide different but equally valuable information that can be integrated in advancing our understanding of these diseases.
As the era of ‘omics’ progresses towards personalized medicine, the field of molecular imaging is finding multiple uses in noninvasive characterization of the molecular features of diseases and their impact on function. In complex diseases such as cancer, with its tremendous genetic diversity, it is becoming increasingly important to develop molecularly-targeted treatment strategies that combine detection with treatment.
A novel technique of radiation delivery with ultrahigh dose rate radiation therapy delivered in milisecond of time. Although, still in investigational phase
Mechanical signals inhibit growth of a grafted tumor in vivo proof of conceptRemy BROSSEL
We apply the principles of physical oncology (or mechanobiology) in vivo to show the effect of a “constraint field” on tumor growth.
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0152885
HuddleUp promotes internal networking by generating warm contacts. The first step and the hardest is to approach someone you don't know. Breakdown silos and build a social culture.
Connect - Catch Up - Collaborate
Heart Rate Variability (HRV) plays an important role for reporting several cardiological and noncardiological
diseases. Also, the HRV has a prognostic value and is therefore quite important in modelling
the cardiac risk. The nature of the HRV is chaotic, stochastic and it remains highly controversial. Because
the HRV has utmost importance, it needs a sensitive tool to analyze the variability. In previous work,
Rosenstein and Wolf had used the Lyapunov exponent as a quantitative measure for HRV detection
sensitivity. However, the two methods diverge in determining the HRV sensitivity. This paper introduces a
modification to both the Rosenstein and Wolf methods to overcome their drawbacks. The introduced
Mazhar-Eslam algorithm increases the sensitivity to HRV detection with better accuracy.
Phonocardiogram based diagnostic systemijbesjournal
A Phonocardiogram or PCG is a plot of high fidelity recording of the sounds and murmurs made by the
heart with the help of the machine called phonocardiograph. It has developed continuously to perform an
important role in the proper and accurate diagnosis of the defects of the heart. As usually with the
stethoscope, it requires highly and experienced physicians to read the phonocardiogram. A diagnostic
system based on Artificial Neural Networks (ANN) is implemented as a detector and classifier of heart
diseases. The output of the system is the classification of the sound as either normal or abnormal, if it is
abnormal what type of abnormality is present. In this paper, Based on the extracted time domain and
frequency domain features such as energy, mean, variance and Mel Frequency Cepstral Coefficients
(MFCC) various heart sound samples are classified using Support Vector Machine (SVM), K Nearest
Neighbour (KNN), Bayesian and Gaussian Mixture Model (GMM) Classifiers. The data used in this paper
was obtained from Michigan university website.
Eeg time series data analysis in focal cerebral ischemic rat modelijbesjournal
The mammalian brain exists in a number of attractors. In order to characterize these attractors we have collected the time series data from the EEG recording of rat models. The time series was obtained by recording of the frontoparietal, occipital and temporal regions of the rat brain. Significant changes have
been observed in the dimensionalities of these brain attractors between the normal state, focal ischemic
state and the drug induced state. Thus, these three states were characterized by unique lyapunov exponents,
correlation dimensions and embedding dimensions. The inverse of the lyapunov exponent gave us the long
term coherence of the rat brain and was found to differ for the three states. The autocorrelation function
measured the mean similarity of the EEG signal with itself after a time t. The degree of decay was high indicating that there was maximum correlation in the time series. Thus, the autocorrelation functions clearly indicate the effect of focal cerebral ischemia and drugs induced on the rat brain.
A novel reliable method assess hrv forijbesjournal
In a simple words, the heart rate variability (HRV) refers to the divergence in heart complex wave (beat- to-beat) intervals. It is a reliable repercussion of many, psychological, physiological, also environmental factors modulating therhythm of the heart. Seriously, the HRV act as a powerful tool for observation the interaction between the sympathetic and parasympathetic nervous systems. However, it has a frequency that is great for supervision, surveillance, and following up the cases. Finally, the generating structure of heart complex wave signal is not simply linear, but also it involves the nonlinear contributions. Those two contributions are totally correlated.
HRV is stochastic and chaotic (stochaotic) signal. It has utmost importance in heart diseases diagnosis, and it needs a sensitive tool to analyze its variability. In early works, Rosenstein and Wolf had used the Lyapunov exponent (LE) as a quantitative measure for HRV detection sensitivity, but the Rosenstein and Wolf methods diverge in determining the main features of HRV sensitivity, while Mazhar-Eslam introduced a modification algorithm to overcome the Rosenstein and Wolf drawbacks.
The present work introduces a novel reliable method to analyze the linear and nonlinear behaviour of heart complex wave variability, and to assess the use of the HRV as a versatile tool for heart disease diagnosis. This paper introduces a declaration for the concept of the LE parameters to be used for HRV diagnosis and proposes a modified algorithm for a more sensitive parameters computation
In this paper designing of a battery operated portable single channel electroencephalography (EEG) signal acquisition system is presented. The advancement in the field of hardware and signal processing tools made possible the utilization of brain waves for the communication between humans and computers. The work presented in this paper can be said as a part of bigger task, whose purpose is to classify EEG signals belonging to a varied set of mental activities in a real time Brain Computer Interface (BCI). Keeping in mind the end goal is to research the possibility of utilizing diverse mental tasks as a wide correspondence channel in the middle of individuals and PCs. This work deals with EEG based BCI, intent on the designing of portable EEG signal acquisition system. The EEG signal acquisition system with a cut off frequency band of 1-100 Hz is designed by the use of integrated circuits such as low power instrumentation amplifier INA128P, high gain operational amplifiers LM358P. Initially the amplified EEG signals are digitized and transmitted to a PC by a data acquisition module NI DAQ (SCXI-1302). These transmitted signals are then viewed and stored in the LAB VIEW environment. From a varied set of experimental observation it can be said that the system can be implemented in the acquisition of EEG signals and can stores the data to a PC efficiently and the system would be of advantage to the use of EEG signal acquisition or even BCI application by adapting signal processing tools.
Center of mass deviation fromcenter ofijbesjournal
Fall incidents remain a major issue for workers in the construction and industrial sites. From biomechanical perspectives the majority of falls occurredwhen the body’scenter of mass (CoM) leaves the base of support (BoS). Several measuresquantify stability based on the trajectories of the CoM, such as excursion, sway length, and mean displacement velocity. Nonetheless, none of these measures evaluate stability based on the optimal location of stability, which is the center of base of support (CBoS). Therefore, the main goal of this paper is to introduce new measures that evaluate stability by determining the deviation of the CoM from the CBoSin the Anterior-Posterior and Medio-Lateral directions. A lifting experiment was conducted to comparethe new measures with the existing stability measures. Participants lifted a box with different weights and placed it on a shelf with different heights. The trajectories of the CoM were captured through motion capturing system. The statistical analysis showed that the weight, height, and the interaction had statically significant effect on body stability. While comparing the intraclass correlation (ICC) values for each stability measure, (i.e. a measure of reliability), the proposed measures proved to be more reliable (i.e. highest ICC) than the existing stabilitymeasures.The high ICC values of the proposed stability measures, as compared to the existing stability measures, are a clear indication of their superior reliability. Moreover, the data indicated that increasing the load and the height resulted in an increaseofinstability.
Live cells respond to the changes of their physiological environment as well as to the mechanical stimuli occurring in and out of the cell body. It is known that cell directional motion is influenced by the substrate stiffness. A finite element modelling based on the tensegrity approach is used here to describe the biomechanical behavior of cells. The effects of substrate stiffness and prestress on strain energy of a cell are investigated by defining several substrate stiffness values and prestress values. Numerical simulations reveal that the internal elastic strain energy of the cell decreases as the substrate stiffness increases. As prestress of cell increases, the strain energy increases as well. The change of prestress value does not change behavior pattern of the strain energy: strain energy of a cell will decrease when substrate stiffness increases. These findings indicate that both cell prestress and substrate stiffness influence the cell directional movement.
A Novel Approach for Measuring Electrical Impedance Tomography for Local Tiss...CSCJournals
This paper proposes a novel approach for measuring Electrical Impedance Tomography (EIT) of a living tissue in a human body. EIT is a non-invasive technique to measure two or three-dimensional impedance for medical diagnosis involving several diseases. To measure the impedance value electrodes are connected to the skin of the patient and an image of the conductivity or permittivity of living tissue is deduced from surface electrodes. The determination of local impedance parameters can be carried out using an equivalent circuit model. However, the estimation of inner tissue impedance distribution using impedance measurements on a global tissue from various directions is an inverse problem. Hence it is necessary to solve the inverse problem of calculating mathematical values for current and potential from conducting surfaces. This paper proposes a novel algorithm that can be successfully used for estimating parameters. The proposed novel hybrid model is a combination of an artificial intelligence based gradient free optimization technique and numerical integration. This ameliorates the achievement of spatial resolution of equivalent circuit model to the closest accuracy. We address the issue of initial parameter estimation and spatial resolution accuracy of an electrode structure by using an arrangement called “divided electrode” for measurement of bio-impedance in a cross section of a local tissue.
This paper explains new imaging techniques that show promising results in breast cancer detection. The
presented techniques use microwave-based methods, wavelet analyses, and neural networks to get a
suitable resolution for the breast image. One of the presented techniques (hybrid method) uses a
combination of microwaves and acoustic signals to improve the detection capability. Some promising
results are shown and explained.
UWB antenna with circular patch for early breast cancer detectionTELKOMNIKA JOURNAL
Breast cancer is the most common cancer in women. It has the highest incidence rate and
the highest mortality rate. In recent years, the incidence of breast cancer has become more and
more important, it is becoming the first tumor killer for women around the world. Early diagnosis is
the most important parameter for detecting cancerous tissue to prevent serious consequences. In this
electronic paper, wepresent a new design of an ultra-wide-band circular microstrip patch antenna operating
in the recommended FCC band ([3.1 GHz - 10.6 GHz]) for the detection of breast tumors. The antenna is
printed on an FR4 epoxy substrate with a dielectric permittivity r = 4.4 and loss tangent tan = 0.02.
The results obtained are largely satisfying and prove that the proposed antenna is a candidate for
biomedical applications.
Breast cancer research in animal models has long been hindered by the lack of a fast, portable,
high resolution, research and animal focused imaging system that can visualize 2D tumor size, 3D
tumor volume, neoangiogenesis and blood perfusion in vivo, in real-time and most importantly,
non-invasively.
In order to ameliorate this problem, VisualSonics has introduced a revolutionary micro-ultrasound
system that allows researchers to collect a plethora of important data over the lifespan of animals,
thereby significantly reducing the number of animals needed.
Basic Evaluation of Antennas Used in Microwave Imaging for Breast Cancer Dete...csandit
Microwave imaging is one of the most promising techniques in diagnosis and screening of
breast cancer and in the medical field that currently under development. It is nonionizing,
noninvasive, sensitive to tumors, specific to cancers, and low-cost. Microwave measurements
can be carried out either in frequency domain or in time domain. In order to develop a
clinically viable medical imaging system, it is important to understand the characteristics of the
microwave antenna. In this paper we investigate some antenna characteristics and discuss
limitations of existing and proposed systems.
Dielectrophoresis-based microfluidic device for separation of potential cance...journalBEEI
Cancer is a leading cause of death that adversely affects all ages and genders around the world. There is a range of approaches such as CT scanning and mammography to diagnose cancer. Although the current method has many benefits, most of it share similar drawbacks as the result of detection takes long time and can lead to over diagnosis. Dielectrophoresis (DEP) is a method that can be used to obtain the cell electrical properties such as capacitance, conductivity, and permittivity. A device was designed in this study using a pair of electrodes and main channel with two inlets and two outlets. COMSOL software is adopted to analyze channel particle flow. Results show the configuration of microfluidic device and its dimensions. For potential application, DEP may be used as a non-invasive technique to distinguish normal cell from cancerous cell, which can lead to early detection as it offers a real-time warning. The simulations reveal that the electrodes captured the particles successfully and sorted them within specific time. The chance of cell capture and the ability of the electrodes to sort the cells is around 80%. In addition, an ideal design of the microfluidic chip was established, incorporating the cell and dielectric properties.
Breast conserving surgery followed by adjuvant radiotherapy is adopted in the early detected cases and mastectomy followed by radiotherapy or chemotherapy in the advanced cases are the general practices.
Breast cancer research in animal models has long been hindered by the lack of a fast, portable, high resolution, research and animal focused imaging system that can visualize 2D tumor size, 3D tumor volume, neoangiogenesis and blood perfusion in vivo, in real-time and most importantly, non-invasively.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
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In vivo characterization of breast tissue by non-invasive bio-impedance measurements analysis
1. International journal of Biomedical Engineering and Science (IJBES), Vol. 2, No. 1, January 2015
11
IN-VIVO CHARACTERIZATION OF BREAST TISSUE
BY NON-INVASIVE BIO-IMPEDANCE
MEASUREMENTS ANALYSIS
Tarek M. Elnimr1
, Moustafa M. Mohamed2
, Tarek Y. Aref3
, Fathi A. El-Hussiny1
,
Islam G. Ali4
1
Department of Physics, Faculty of Science, University of Tanta, Tanta, Egypt
2
Department of Medical Equipment Technology, Faculty of Allied Medical Sciences,
Pharos University in Alexandria, Egypt
3
Department of Radiodiagnosis, Medical Research Institute, Alexandria University,
Egypt
4
Department of Medical Biophysics, Medical Research Institute, Alexandria University,
Egypt
ABSTRACT
Biological tissues have complex electrical impedance related to the tissue dimension, the internal structure
and the arrangement of the constituent cells. Since different tissues have different conductivities and
permittivities, the electrical impedance can provide useful information based on heterogeneous tissue
structures, physiological states and functions. In vivo bio-impedance breast measurements proved to be a
dependable method where these measurements can be adopted to characterize breast tissue into normal
and abnormal by a developed normalized coefficient of variation (NCV) as a numerical criterion of the bio-
impedance measurements. In this study 26 breasts in 26 women have been scanned with a homemade
Electrical Bio-impedance System (EBS). Characteristic breast conductivity and permittivity measurements
emerged for Mammographically normal and abnormal cases. CV and NCV are calculated for each case,
and the value of NCVs greater than 1.00 corresponds to abnormalities, particularly tumours while NCVs
less than 1.00 correspond to normal cases. The most promising results of (NCV) for permittivity at 1 MHz,
it detects 73% of abnormal cases including 100% tumor cases while it detects 82% of normal cases. The
numerical criterion NCV of in-vivo bio-impedance measurements of the breast appears to be promising in
breast cancer screening.
KEYWORDS
Breast electrical conductivity, Breast electrical permittivity, Breast Examination, Breast tissue
classification, Electrical Bio-Impedance
1. INTRODUCTION
Early detection of breast tissue pathologies has always been in the centre of medical community
due to increasing sickness rate of breast cancer and mortality. Within the last 15 years breast
cancer in the structure of oncologic pathology has shifted from the fourth place to the first [1].
Every fifth woman dies due to breast cancer. Survival rate after treatments depends on the phase
of the oncologic process [2]. That is why early detection of cancer as well as other diseases of the
mammary gland is prerequisite to reduction of death-rate among women. Currently the gold
standard methods for detection of mammary glands pathologies are the radiography of mammary
2. International journal of Biomedical Engineering and Science (IJBES), Vol. 2, No. 1, January 2015
12
glands (Mammography) and Ultrasonography examination. Mammography works by projecting
x-rays through the breast tissue to produce an image on photographic film. Radiologists look
through two dimensional image of the radio-density of the breast that reveals the internal
structures and classify breast tissues using the American College of Radiology (ACR) system and
Breast Imaging for Reporting and Diagnosis System (BI-RADS). Although mammograms are the
present gold standard for breast cancer screening, (sensitivity - 71-87%; specificity - 38%), they
do have multiple shortcomings. First, since they cause cumulative x-ray exposure and they are
difficult to use with dense breast tissue (prominent in younger women), mammography is mainly
recommended for women over age 40 years old. Next, many women avoid mammograms since
they find the breast compression uncomfortable and in some instances painful. Finally, since
mammography has a high number of false positive results, many women must undergo the
psychological trauma, physical scarring, and financial hardship of unnecessary biopsies [3]. Self-
descriptiveness of Ultrasonic examination in differential diagnostics of malignant and benignant
growths is rather high (Sensitivity - 98%; specificity - 59%). But the diagnostics accuracy
depends on such factors as: the equipment model, user’s experience and professional skill, the
patient’s age, her hormonal status, type and stage of disease [4]. Utilization of other methods -
nuclear magnetic resonance, computed tomography scan, radionuclide diagnostics – can’t
consider always affordable due to high cost of examination. The abovementioned methods,
offering high degree of resolution, make it possible to obtain images of the mammary gland. But
inability to show changes of the gland structure in digital format doesn’t allow researchers and
doctors to evaluate the objective state of mammary glands. This is why a significant number of
experts involved in diagnostics, treatment and follow-up care of cancer patients as well as patients
suffering from other breast diseases, are faced with the task of discovering a new method for
identification of breast pathologies, which would differ from the other existing methods by
affordability, safety and level of information [5]. Instead of using above mentioned methods to
classify breast tissue and detect mammary gland malignancies, another possibility is to use
electricity to accomplish the same goal. The Electrical Bioimpedance of the breast is a non-
invasive technique used to differentiate malignancy based on the variation of electrical properties
presented by different tissues and cells [6]. The research goal of this paper is to investigate the
diagnostic capabilities of the non-invasive in-vivo electrical bio-impedance measurements of the
breast in the manner of numerical criteria.
2. EXPERIMENTAL METHODS
In this study 26 individual breasts in 26 women were scanned and investigated by a homemade
Electrical Bio-impedance System (EBS). All examinations done at Medical Research Institute,
Alexandria University, after all the volunteers completed the necessary consent forms. Before the
EBS exam, all the patients were classified by a radiologist using Mammography and
Ultrasonography. 11 cases were normal and 15 cases were abnormal including 5 cases with
malignant breast tumours, 3 cases with scar, 3 cases with cyst, 1 case with drained cyst, 2 cases
with fibrocystic changes, and 1 case with irregularities.
2.1 EBS Overview
EBS consists of 64 stainless steel electrodes (8x8) array with 10 mm diameter spaced by 5 mm
fabricated on a printed circuit board and embedded in Plexiglas plate, these electrodes array
connected to the main unit which consists of multi frequency AC voltage source, Microcontroller,
Multiplexers, Analog to Digital Converter, Divider circuit, Peak detector system, and Computer
for running software. A schematic diagram is shown in Figure 1, EBS was built to be extremely
precise at application of any excitation pattern to the electrodes, and it can operate at any
frequency between DC and 1 MHz. it is completely portable and self-contained. EBS works
3. International journal of Biomedical Engineering and Science (IJBES), Vol. 2, No. 1, January 2015
13
through operation Sequences as follow, a designed Bio-image scanner V2.0 software was
developed using Microsoft Visual Basic .NET to control the hardware via the computers’ USB by
sending an asynchronous message to the data acquisition component in the main unit via USB
forcing it to start its operation. The data acquisition component is a microcontroller based system
that activates one of the multiplexers and send the selection data (for the channel selection within
the same multiplexer) to gain the access to one electrode while disabling the other 63 ones. The
analog voltage across the examined tissue that placed between selected electrode and reference
electrode is converted to the corresponding DC value using the AC/DC converter circuit. The DC
voltage is measured and then converted to a digital value using the 8-bit ADC converter module.
The data acquisition system responds with a stream of data (64 units) representing the data from
the electrode set. The software waits for this data stream to save in an ASCII-formatted text file
using the Microsoft Visual Basic .NET file system capabilities.
Figure 1. A schematic diagram for EBS hardware.
2.2. Safety Guidelines
The EBS intentionally passes electrical currents through the human body. Unlike defibrillation or
electric convulsive therapy, this injected current is not therapeutic, and it is only intended for
diagnostic purposes. By operating the EBS between 10 kHz and 1 MHz, we expect to avoid any
danger [7]. Since cell ion junctions only can open and close on the order of 1 millisecond, an
electronic signal significantly above 1 kHz (period of 1 ms) should not affect the cell’s ion flows,
thus avoiding neural or cardiac activation [8, 9]. By operating below a maximum RMS current
flow of 10 mA with 5 Vpp AC voltages, resistive heating is avoided simply because not enough
electric energy is being applied. The patient is electrically isolated standing on an insulating plate.
Also, the patient is not allowed to contact anything connected to any electrical outlets during the
exam. The isolation is important so no electric current can flow from an external source through
the patient to the EBS. Hence, currents enter and leave the body only in the electrode array plane.
2.3. Breast tissue scanning
The protocol for scanning the women breasts was simple. Patients stand on an isolating plate, the
electrode array level adjusted to allow one breast to be scanned and the breast under investigation
is placed between the 64 electrodes array and the reference electrode plates. It generally took
about five minutes to position the breast in the electrode array while three minutes were required
to acquire data at specific frequency. A typical EBS breast exam lasted from 5 to 10 minutes
depending how many scanning processes were taken. Measurements were taken at frequencies
10, 125, 525 kHz and 1 MHz using the excitation patterns RMS current 4 mA.
4. International journal of Biomedical Engineering and Science (IJBES), Vol. 2, No. 1, January 2015
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3. RESULTS
For an attempt to quantitatively separate the scanned breasts into normal and abnormal categories,
the average and standard deviations were calculated for the conductivity and permittivity values
for each scanned breast. To minimize the effect of the edge artifacts, only the material properties
across the central 2/3 of all scanned area were used. Also, the coefficient of variation (CV) and
the normalized coefficient of variation (NCV) were calculated for the conductivity and
permittivity domains [10]. Equation 3.1 defines both CV and NCV.
( )
( )xavg
xstd
CV = ,
normal
given
CV
CV
NCV = … (1)
(X) Represents the distribution of material properties σ or ε in each scan. (NCV) is the ratio of the
coefficient of variation (CV) from a given patient to that of a patient diagnosed as normal. If
NCV greater than 1.00 the breast is diagnosed as abnormal.
Figure (2) and figure (3) compares the averages and standard deviations of the conductivities and
permittivities at 125 kHz between the different groups. There is no apparent separation of tumour
cases.
Figure 2: Average conductivity σ at 125 kHz for the breasts from 26 patients. The blue portion of each bar
is the average, while the top red portion is the standard deviation for each case.
5. International journal of Biomedical Engineering and Science (IJBES), Vol. 2, No. 1, January 2015
15
Figure 3: Average Permittivity ε from the Bio-impedance scan at 125 kHz for the breasts from 26 patients.
The blue portion of each bar is the average, while the top red portion is the standard deviation for each case.
Figure 4: Normalized coefficient of variation for conductivity σ from the bio-impedance scan at 125 kHz
for the breasts from 26 patients.
Figure 5: Normalized coefficient of variation for permittivity ε from the bio-impedance scan at 125 kHz for
the breasts from 26 patients.
The numerical diagnosis (NCV of conductivity at 125 kHz) for all 26 breasts was summarized in
table (1).
Table 1: Summarizes the numerical diagnosis (NCV of conductivity at 125 kHz) for all 26 breasts.
Cases Identified Percentage
Abnormal 9 of 15 60%
Tumours 4 of 5 80%
Normal 5 of 11 45%
6. International journal of Biomedical Engineering and Science (IJBES), Vol. 2, No. 1, January 2015
16
The numerical diagnosis (NCV of permittivity at 125 kHz) for all 26 breasts was summarized in
table (2).
Table 2: Summarizes the numerical diagnosis (NCV of permittivity at 125 kHz) for all 26 breasts.
Cases Identified Percentage
Abnormal 12 of 15 80%
Tumours 5 of 5 100%
Normal 4 of 11 36%
To ascertain how well the NCV distinguishes tumours at other frequencies, the entire analysis
was repeated at 10 kHz, 525 kHz, and 1 MHz Since the NCV for permittivity decisively separates
more tumour cases than the NCV for conductivity, only the permittivity cases will be considered.
Figure (6) shows the NCV for permittivity at 10 kHz.
Figure 6: Normalized coefficient of variation for permittivity ε from the bio-impedance
The numerical diagnosis (NCV of permittivity at 10 kHz) for all 26 breasts was summarized in
table (3).
Table 3: Summarizes the numerical diagnosis (NCV of permittivity at 10 kHz) for all 26 breasts.
Cases Identified Percentage
Abnormal 8 of 15 53%
Tumours 2 of 5 40%
Normal 4 of 11 36%
Figure (7): Shows the NCV of permittivity at 525 kHz. The NCVs for all 5 tumour cases exceed
1.00 and 8 of the 11 normal are below 1.00.
7. International journal of Biomedical Engineering and Science (IJBES), Vol. 2, No. 1, January 2015
17
Figure 7: Normalized coefficient of variation for permittivity ε from the bio-impedance scan at
525 kHz for the breasts from 26 patients.
The numerical diagnosis (NCV of permittivity at 525 kHz) for all 26 breasts was summarized in
table (4).
Table 4: Summarizes the numerical diagnosis (NCV of permittivity at 525 kHz) for all 26 breasts.
Cases Identified Percentage
Abnormal 10 of 15 67%
Tumours 5 of 5 100%
Normal 8 of 11 73%
Figure (8) shows the NCV’s for the permittivity at 1MHz
Figure 8: Normalized coefficient of variation for ε permittivity at 1MHz for the breasts from 26
patients. The light bars represent the cases exceeded the threshold level.
8. International journal of Biomedical Engineering and Science (IJBES), Vol. 2, No. 1, January 2015
18
Again, in all 5 tumour cases, the NCV exceeds 1.00, but now in 9 of the 11 normal cases, the
NCV falls below 1.00. In general, the NCV permittivity criterion seems to better distinguish
tumours as the frequency increases. Table (5) summarizes the success of the numerical diagnosis
(NCV of permittivity at 1MHz) for all 26 breasts.
Table 5: Summarizes the success of the numerical diagnosis (NCV of permittivity at 1 MHz) for all 26
breasts.
Cases Identified Percentage
Abnormal 11 of 15 73%
Tumours 5 of 5 100%
Normal 9 of 11 82%
4. DISCUSSION
In vivo bio-impedance breast measurements by a home-made EBS instrument proved to be a
dependable method where these measurements can be adopted to characterize tissue. The results
from the breast examination experiments are encouraging. It detected the presence of tumour in
mammary gland tissue, and defined electrical characteristics of breast tissue, since different
tissues types exhibit different bioelectrical characteristics. In an attempt to quantitatively separate
the scanned breasts into normal and abnormal categories, the average and standard deviations
were calculated for the conductivity and permittivity values in each breast scan. The graphs of
average conductivity, figure (2), and average permittivity, figure (3) from the bio-impedance
measurements at 125 kHz for the breasts suggest that both the conductivity and permittivity of the
tumour cases are slightly lower than most other cases. This is surprising since Jossinet showed
that tumour tissue has higher conductivity and permittivity values. Nevertheless, the graphs do
not depict values solely from the region of interest (the tumour, etc.), so the surrounding tissue is
probably altering the values.
Also, the coefficient of variation (CV) and the normalized coefficient of variation (NCV) were
calculated for the conductivity and permittivity domains. The tumour cases begin to stand out.
The NCV for conductivity from breasts 22 and 23 peaks above the others figure (4) and the NCV
for permittivity from breasts 22 and 23 are about twice that of the remaining breasts figure (5).
The numerical diagnosis (NCV of conductivity at 125 kHz) for all 26 breasts was summarized in
table (1) shows that the 60% of abnormal cases were identified, 80% of tumour cases were
identified and 45% of normal cases were identified. The numerical diagnosis (NCV of
permittivity at 125 kHz) for all 26 breasts was summarized in table (2) shows that 80% of
abnormal cases were identified, 100% of tumour cases were identified and 36% of normal cases
were identified. To ascertain how well the NCV distinguishes tumours at other frequencies, the
entire analysis was repeated at 10 kHz, 525 kHz, and 1 MHz Since the NCV for permittivity
decisively separates more tumour cases than the NCV for conductivity, only the permittivity
cases will be considered.
Unlike the 125 kHz case, the 10 kHz graph does not distinguish the tumours well figure (6). Here,
the largest NCV value occurs with breast 12, which has a scar, and 3 of 5 tumours have an NCV
below 1.00, making them indistinguishable from the normal. The numerical diagnosis (NCV of
permittivity at 10 kHz) for all 26 breasts was summarized in table (3) shows that 53% of
abnormal cases were identified, 40% of tumour cases were identified and 36% of normal cases
were identified, while the numerical diagnosis (NCV of permittivity at 525 kHz) for all 26 breasts
was summarized in table (4) show that 67% of abnormal cases were identified, 100% of tumour
cases were identified and 73% of normal cases were identified.
9. International journal of Biomedical Engineering and Science (IJBES), Vol. 2, No. 1, January 2015
19
Again, for NCV of permittivity at 1MHz, figure (8), all 5 tumour cases have NCV value exceeds
1.00, but now in 9 of the 11 normal cases, the NCV falls below 1.00. In general, the NCV
permittivity criterion seems to better distinguish tumours as the frequency increases. Table (5)
summarizes the success of the numerical diagnosis (NCV of permittivity at 1MHz) for all 26
breasts the table shows that 73% of abnormal cases were identified, 100% of tumour cases were
identified and 82% of normal cases were identified.
5. CONCLUSIONS
Throughout this paper, there has been a progression of experiments from the construction of the
EBS device to the breast examination studies. The goal is to make a meaningful contribution to
electrical bio-impedance measurements for the breast by developing a numerical criterion that
fully employ the multi-frequency measurements to classify and diagnose the breasts tissue. The
results from the breast scan experiments are encouraging and the most promising numerical
parameter is the normalized coefficient of variation (NCV) for permittivity at 1 MHz NCVs
greater than 1.00 corresponds to abnormalities, particularly tumours while NCVs less than 1.00
correspond to normal cases. Using numerical method, the EBS measurements best distinguish
tumours above 125 kHz. At higher frequencies, more current flows through the intracellular
compartment. Rapidly dividing tumour cells usually have larger nuclei than normal cells, so the
higher frequencies may be highlighting this difference. The numerical method is able to
distinguishing tumours from other abnormalities. In the NCV permittivity graphs at 525 and
1MHz, several of the tumour cases had noticeably higher peaks than the other abnormalities.
Although this study is promising, clearly a larger patient population needs to be tested in order to
give statistical significance to the results. EBS system has not been tested on a very large patient
pool nor have all the suspicious cases been confirmed with biopsies. This all can certainly change
over time.
REFERENCES
[1] Korotkova M. Karpov A., (2007) The technique of estimation of the electroimpedance image of the
matmnary gland. XIII international conference on electrical bio-impedance. Graz, Austria.
[2] Sotskova N. Karpov A. Korotkova D. Sentcha, (2007) A. Particularities of the electroimpedance
images in different forms of infiltrative breast cancer. XIII international conference on electrical
bioimpedance. Graz, Austria.
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