جستجوی مقالات مرتبط با کلیدواژه "سرطان سینه" در نشریات گروه "مکانیک"

Breast cancer is the most common cancer among women, particularly among women over 50 years old. Recent studies have proven that if breast cancer is diagnosed in the early stages of the formation of cancerous tissues, the chance of survival increases significantly and the costs of controlling the disease are greatly reduced. Therefore, the main solution is early detection of breast cancer. Until now, various research has been presented to diagnose breast cancer, but due to the selection of ineffective features and also the lack of using a suitable analytical method on the features, they could not achieve sufficient accuracy. In this study, LSD analysis and extraction of effective features by KNN classifier are used for automatic detection of breast cancer. The purpose of presenting the proposed method is to increase the accuracy of diagnosis for normal and non-normal classes. The proposed method was implemented in MATLAB environment and on the MIAS mammography image bank. The results obtained from the implementation output demonstrated the detection of breast cancer with 92% accuracy. The obtained results were compared with other methods, which shows the better performance of the proposed method in terms of accuracy criteria.

Studies have shown that simulated microgravity (SMG) affects tumor cell growth and metastasis. However, the underlying molecular basis is still not known. In recent years, due to the high expression of CD44 in invasive basal breast tumors, it has been the subject of many studies. The aim of present study was to investigate the gene expression of CD44 in MDA-MB-231cell line of breast cancer in microgravity conditioncell line was proliferated under normal gravity and microgravity (1 and 3 days) using 2-D clinostat. Gene expression was measured using real-time PCR technique. SMG increased gene expression (100%) after 1 day and decreased it (15%) during 3 days in comparison to the control samples. It seems that the response of cancer cells to microgravity is time dependent and simulated microgravity treatment for 3 days may have a positive effect on cancer characteristics of MDA-MB-231 cell line in order to decrease the expression of CD44.

Mutations in DNA and the development of mutated genes that are inherited or acquired during a personchr(chr('39')39chr('39'))s lifetime can cause cancer. This type of disease causes the loss of normal control of cell growth and proliferation. Breast cancer, with its prevalence in both men and women and the higher incidence of women in the female population, is one of the most important cancers in the medical community. Appearance changes in the breast, the presence of a lump, and discharge and bleeding from the nipple are signs of breast cancer. Targeted treatment of this disease reduces the complications of treatment methods. Also, recognizing the mechanical properties of the cell, such as the Youngchr(chr('39')39chr('39'))s modulus, and examining the changes caused by cancer in these properties will make treatment more efficient and help the pharmaceutical sciences. For this purpose, in this paper, the MCF-10 breast cell has been studied using atomic force microscopy and nanomanipulation method. Atomic force microscope is one of the efficient tools in the structural studies of biological particles with the possibility of producing images of soft tissues under different environmental conditions and in a non-destructive manner. Chung, chen and brake contact are the models used in the simulation. Finally, with the simulations performed, the Young modulus of 1200 Pa is considered for this cell. Also, considering the comparisons made with experimental work, the chen contact model has been introduced as the optimal model for extracting cellular properties.