Mathematical and deep learning analysis based on tissue dielectric properties at low frequencies predict outcome in human breast cancer

2021 ◽  
pp. 1-13
Author(s):  
Mamdouh M. Shawki ◽  
Mohamed Moustafa Azmy ◽  
Mohammed Salama ◽  
Sanaa Shawki
Keyword(s):  
Breast Cancer ◽  
Deep Learning ◽  
Human Breast Cancer ◽  
Threshold Value ◽  
Dielectric Behavior ◽  
Support Vector ◽  
Human Breast ◽  
Great Chance ◽  
Low Frequencies ◽  
Learning Analysis

BACKGROUND: The early detection of human breast cancer represents a great chance of survival. Malignant tissues have more water content and higher electrolytes concentration while they have lower fat content than the normal. These cancer biochemical characters provide malignant tissue with high electric permittivity (ε´) and conductivity (σ). OBJECTIVE: To examine if the dielectric behavior of normal and malignant tissues at low frequencies (α dispersion) will lead to the threshold (separating) line between them and find the threshold values of capacitance and resistance. These data are used as input for deep learning neural networks, and the outcomes are normal or malignant. METHODS: ε´ and σ in the range of 50 Hz to 100 KHz for 15 human malignant tissues and their corresponding normal ones have been measured. The separating line equation between the two classes is found by mathematical calculations and verified via support vector machine (SVM). Normal range and the threshold value of both normal capacitance and resistance are calculated. RESULTS: Deep learning analysis has an accuracy of 91.7%, 85.7% sensitivity, and 100% specificity for instant and automatic prediction of the type of breast tissue, either normal or malignant. CONCLUSIONS: These data can be used in both cancer diagnosis and prognosis follow-up.

scholarly journals Predicting substrates of the human breast cancer resistance protein using a support vector machine method

2013 ◽  
Vol 14 (1) ◽  
pp. 130 ◽  
Author(s):  
Eszter Hazai ◽  
Istvan Hazai ◽  
Isabelle Ragueneau-Majlessi ◽  
Sophie P Chung ◽  
Zsolt Bikadi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Support Vector Machine ◽  
Human Breast Cancer ◽  
Breast Cancer Resistance Protein ◽  
Support Vector ◽  
Cancer Resistance ◽  
Human Breast ◽  
Machine Method ◽  
Support Vector Machine Method ◽  
Resistance Protein

Virus-Like Particles in a Human Breast Cancer: Structural Similarity to Previously Reported Particles

1973 ◽  
Vol 31 ◽  
pp. 378-379
Author(s):  
G. Kasnic ◽  
S. E. Stewart ◽  
C. Urbanski
Keyword(s):  
Breast Cancer ◽  
Biological Activity ◽  
Human Breast Cancer ◽  
Osteogenic Sarcoma ◽  
Human Tumor ◽  
Structural Similarity ◽  
Cell Tumor ◽  
Human Breast ◽  
Human Tumor Cell ◽  
Type Particle

We have reported the maturation of an intracisternal A-type particle in murine plasma cell tumor cultures and three human tumor cell cultures (rhabdomyosarcoma, lung adenocarcinoma, and osteogenic sarcoma) after IUDR-DMSO activation. In all of these studies the A-type particle seems to develop into a form with an electron dense nucleoid, presumably mature, which is also intracisternal. A similar intracisternal A-type particle has been described in leukemic guinea pigs. Although no biological activity has yet been demonstrated for these particles, on morphologic grounds, and by the manner in which they develop within the cell, they may represent members of the same family of viruses.

Further Ultrastructural Observations on Metastatic Nodules of Human Breast Cancer

1968 ◽  
Vol 26 ◽  
pp. 224-225
Author(s):  
John L. Swedo ◽  
R. W. Talley ◽  
John H. L. Watson
Keyword(s):  
Breast Cancer ◽  
Human Breast Cancer ◽  
Estrogen Therapy ◽  
Specimen Preparation ◽  
Human Breast ◽  
Autophagic Vacuoles ◽  
Previous Communication ◽  
Linear Profiles ◽  
Metastatic Nodule

Since the report, which described the ultrastructure of a metastatic nodule of human breast cancer after estrogen therapy, additional ultrastructural observations, including some which are correlative with pertinent findings in the literature concerning mycoplasmas, have been recorded concerning the same subject. Specimen preparation was identical to that in.The mitochondria possessed few cristae, and were deteriorated and vacuolated. They often contained particulates and fibrous structures, sometimes arranged in spindle-shaped bundles, Fig. 1. Another apparent aberration was the occurrence, Fig. 2 (arrows) of linear profiles of what seems to be SER, which lie between layers of RER, and are often recognizably continuous with them.It was noted that the structure of the round bodies, interpreted as within autophagic vacuoles in the previous communication, and of vesicular bodies, described morphologically closely resembled those of some mycoplasmas. Specifically, they simulated or reflected the various stages of replication reported for mycoplasmas grown on solid nutrient. Based on this observation, they are referred to here as “mycoplasma-like” structures, in anticipation of confirmatory evidence from investigations now in progress.

Jab1 is overexpressed in human breast cancer and is a downstream target for HER-2/neu

2008 ◽  
Author(s):  
Ming-Chuan Hsu ◽  
Chee-Yin Chai ◽  
Ming-Feng Hou ◽  
Hui-Chiu Chang ◽  
Wan-Tzu Chen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Human Breast Cancer ◽  
Human Breast ◽  
Downstream Target ◽  
Her 2
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