• Korean Journal of Adult Nursing
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• v.14 no.1
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• pp.73-82
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• 2002

The purpose of this study was to test the fitness and explainable power of TPB-SE model to the behavior of breast self examination and it was to examine effectiveness of education for Intention and behavior of breast self examination. The subjects were 122 womens under baby sitting teachers' training programs at "S"college on Po Hang city, Kyung Pook province from May 10, 1998 through October 17, 1998. Among 122 subjects, 61 were placed in experimental group and 61 in control group. The experimental group was treated by researcher who administered booklet, slide and breast model. Collected data were analyzed through $X^2$-test, t-test, MANOVA, ANCOVA, Pearson correlation coefficient via SPSS/PC and applied LISREL 8.0 programs to test TPB-SE model. The result of this study was summarized as follows: 1. TPB-SE model with additions of self efficacy from TPB fits well for predictive factors of behavior of breast self examination and it also fits well for data (GFI=.91, $R^2$=.45). 2. Behavior score of breast self examination in the experimental group with already educated with breast self examination was significantly higher than that of control group (Wilks's value=.711, p=000). Through the results of this study, TPB-SE model with additions of self efficacy from TPB fits well for predictive factors of behavior of breast self examination and the education of breast self examination was effective to improving intention and behavior of breast self examination. I herewith reached final conclusions that the behavior of breast self examination should be regarded as one of health behavior for all women and the health education to women for breast self examination will be important job role for all nurses. In addition to above, the intervention through effective education designed for improving attitude, subjective norm, perceived control, self efficacy and intentions will be necessary step for any improvement of women' health behavior.

• Journal of Korean Academy of Nursing
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• v.28 no.3
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• pp.718-728
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• 1998

Breast self-examination is the most effective and easiest way for women to increase the responsible consciousness about their health. The purpose of this study was to test the variables impacted to promote breast self-examination practice. The research design used in this study was a nonequevalent control group of a non-synchronized design. The sample that was assembled consisted of 124 women. A purposive sample consisted of 124 women. Each subject was given to assessed on the following the demographic data related to the breast self-examination, knowledge of self-examination, accuracy, in performing self-examination, self-efficacy about breast cancer and breast self-examination, and the number of subjects who found a mass. The result of this study may be summarized as follows : 1. To examine the theretical model fit to the data, chi square test statistics and goodness of fit index were identified($\chi$$^2$=2.30, df=2, GFI=0.99, AGFI=0.94 RMSR=0.02, NFI=0.99, NNFI=0.99, Critical Number=439). 2. The direct effects of education of breast self-examination were knowledge, self-efficacy, accuracy, number finding a mass. But the Indirect effect of education on breast self-examination was frequency of breast self-examination. 3. Knowlege, as direct paths to the breast self-examination practices, was removed in the theoretical model. The parsimonious best fit model included self-efficacy, accuracy, the number finding mass, frequency of breast self-examination practices. 4. The final model produced a chi-square=5.58(p=0.35) with df=5, and GFI =0.99, AGFI =0.94, RMSR=0.03, NFI=0.99, NNFI=0.99, CN=339 indicating very a good fit. Based on the result of this study, education of breast self-examination is very effective for increasing the competency of the breast self-examination through the knowledge and self-efficacy. Resources to promote self-efficacy may be helpful to increase the frequency of self-examination because self-efficacy is a direct effect on it. These findings suggest the need to develop nursing strategy to promote the self-efficacy of breast self-examination.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.8
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• pp.3741-3745
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• 2016

Background: This study was carried out to examine breast cancer risk and its fertility predictors in women aged ${\geq}35$. Materials and Methods: This cross-sectional study was conducted on 560 healthy women referred to health centers of Tabriz-Iran, 2013-2014. Five-year and lifetime risk of developing breast cancer were determined using the Gail model. General linear modeling was applied to determine breast cancer predictors. Results: The mean age of the subjects was 42.7 (SD: 7.7) years. Mean 5-year and lifetime risks of developing breast cancer were determined to be 0.6% (SD: 0.2%) and 8.9% (SD: 2.5%), respectively. Variables of family history of breast cancer, age, age at menarche, parity, age at first childbirth, breastfeeding history, frequency of breastfeeding, method of contraception, marital status and education were all found to be predictors of breast cancer risk. Conclusions: According to the results of this study, screening programs based on the Gail model should be implemented for Iranian people who have a high risk for breast cancer in order to facilitate early detection and better plan for possible malignancies.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2857-2861
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• 2014

More and more evidence indicates that the G801A polymorphism in the CXCL12 gene might be associated with susceptibility to breast carcinoma in humans being. However, individually published results have been inconsistent. The purpose of this meta-analysis was to investigate the association between the G801A polymorphism in the CXCL12 gene and breast carcinoma risk. A complete search strategy was done by the electronic databases including PubMed and Chinese Biomedical Literature Database. A meta-analysis including seven individual studies was carried out in order to explore the association between the G801A polymorphism in the CXCL12 gene polymorphisms and breast carcinoma. The pooled odds ratios (ORs) and their corresponding 95% confidence intervals (95%CIs) between the G801A polymorphism in the CXCL12 gene and breast carcinoma risk were assessed by the random-effects model. A significant relationship between the G801A polymorphism in the CXCL12 gene and breast carcinoma was discovered in an allelic genetic model (OR: 1.214, 95%CI: 1.085-1.358, p=0.001), a homozygote model (OR: 1.663, 95%CI: 1.240-2.232, p=0.001), a heterozygote model (OR: 1.392, 95%CI: 1.190-1.629, p=0.000), a recessive genetic model (OR: 1.407, 95%CI: 1.060-1.868, p=0.018) and a dominant genetic model (OR: 1.427, 95%CI: 1.228-1.659, p=0.000). On sub-group analysis based on ethnicity, significance was observed between the European group and the mixed group. A significant relationship was found between the G801A polymorphism in the CXCL12 gene and breast carcinoma risk. Individuals with the A allele of the G801A polymorphism in the CXCL12 gene are under a higher risk for breast carcinoma.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.14
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• pp.5669-5673
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• 2015

Background: Breast cancer is the most prevalent kind of cancer among women in Iran. Regarding the importance of cancer prevention and considerable variation of breast cancer incidence in different parts of the country, it is necessary to recognize regions with high incidence of breast cancer and evaluate the role of potential risk factors by use of advanced statistical models. The present study focussed on incidence of breast cancer in Iran at the province level and also explored the impact of some prominent covariates using Bayesian models. Materials and Methods: All patients diagnosed with breast cancer in Iran from 2005 to 2008 were included in the study. Smoking, fruit and vegetable intake, physical activity, obesity and the Human Development Index (HDI), measured at the province level, were considered as potential modulating factors. Gamma-Poisson, log normal and BYM models were used to estimate the relative risk of breast cancer in this ecological investigation with and without adjustment for the covariates. Results: The unadjusted BYM model had the best fit among applied models. Without adjustment, Isfahan, Yazd, and Tehran had the highest incidences and Sistan- Baluchestan and Chaharmahal-Bakhtiari had the lowest. With the adjusted model, Khorasan-Razavi, Lorestan and Hamedan had the highest and Ardebil and Kohgiluyeh-Boyerahmad the lowest incidences. A significantly direct association was found between breast cancer incidence and HDI. Conclusions: BYM model has better fit, because it contains parameters that allow including effects from neighbors. Since HDI is a significant variable, it is also recommended that HDI should be considered in future investigations. This study showed that Yazd, Isfahan and Tehran provinces feature the highest crude incidences of breast cancer.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.231-243
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• 2021

In Recent years the way we analyze the breast cancer has changed dramatically. Breast cancer is the most common and complex disease diagnosed among women. There are several subtypes of breast cancer and many options are there for the treatment. The most important is to educate the patients. As the research continues to expand, the understanding of the disease and its current treatments types, the researchers are constantly being updated with new researching techniques. Breast cancer survival rates have been increased with the use of new advanced treatments, largely due to the factors such as earlier detection, a new personalized approach to treatment and a better understanding of the disease. Many machine learning classification models have been adopted and modified to diagnose the breast cancer disease. In order to enhance the performance of classification model, our research proposes a model using A Hybrid Modified K-Means Clustering with Modified SVM (Support Vector Machine) Machine learning algorithm to create a new method which can highly improve the performance and prediction. The proposed Machine Learning model is to improve the performance of machine learning classifier. The Proposed Model rectifies the irregularity in the dataset and they can create a new high quality dataset with high accuracy performance and prediction. The recognized datasets Wisconsin Diagnostic Breast Cancer (WDBC) Dataset have been used to perform our research. Using the Wisconsin Diagnostic Breast Cancer (WDBC) Dataset, We have created our Model that can help to diagnose the patients and predict the probability of the breast cancer. A few machine learning classifiers will be explored in this research and compared with our Proposed Model "A Hybrid Modified K-Means with Modified SVM Machine Learning Algorithm to Enhance the Cancer Prediction" to implement and evaluated. Our research results show that our Proposed Model has a significant performance compared to other previous research and with high accuracy level of 99% which will enhance the Cancer Prediction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.655-657
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• 2021

It is challenging to find breast ultrasound image training dataset to develop an accurate machine learning model due to various regulations, personal information issues, and expensiveness of acquiring the images. However, studies targeting transfer learning for ultrasound breast cancer images classification have not been able to achieve high performance compared to radiologists. Here, we propose an improved transfer learning model for ultrasound breast cancer classification using publicly available dataset. We argue that with a proper combination of ImageNet pre-trained model and optimizer, a better performing model for ultrasound breast cancer image classification can be achieved. The proposed model provided a preliminary test accuracy of 99.5%. With more experiments involving various hyperparameters, the model is expected to achieve higher performance when subjected to new instances.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.5
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• pp.3281-3288
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• 2013

Background: Breast cancer is the leading cause of cancer-related deaths in women. Despite being associated with high morbidity and mortality, breast cancer is a disease that can be diagnosed and treated early. Materials and Methods: In this cross-sectional study of 321 women, data were collected by Questionnaire, Breast Cancer Risk Assessment Form and Champion's Health Belief Model Scale. Mann-Whitney U, Kruskal-Wallis, Chisquared tests and logistic regression were used in the statistical analysis. Results: It was found that only 2.2% of women have high and very high risk levels of breast cancer risk. There is a positive correlation between early diagnosis techniques and Health Belief Model Sub-Dimension scores which are sensibility, health motivation, BSE (Breast self-examination) self-efficient perception and negative correlation between mammography barrier score and BSE barrier score (p 0.05). When factors for not having BSE were examined, it was determined that the women who do not have information about breast cancer and the women who smoke have a higher risk of not having BSE. Conclusions: It is important to determine health beliefs and breast cancer risk levels of women to increase the frequency of early diagnosis. Women's health beliefs are thought to be a good guide for planning health education programs for nurses working in this area.

• Journal of Fashion Business
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• v.20 no.4
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• pp.189-206
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• 2016

A breast model was for the human body was devised by studying a body scan and human body index of a desirable breast type. Thus, when manufacturing various 3D models, these results can accordingly become a fundamental basis for realizing a desirable breast model. This study aims to provide a basic data for designing the cup patterns of brassieres in order to improve the function and wearing comfort. The comfort of three kinds of brassieres were compared: one manufactured by the actual measured size; another manufactured as per the ratio of desirable upper and lower breast lengths; and the third manufactured by the 3D model attained by the desirable human body ratio. In this study, we suggest a process for realizing the desirable breast model using the ratio of bust breadth and waist front length, which are the components for deciding the appropriate position and size of breast, and which are easy to measure. The ideal breast shape is an equilateral triangle formed by connecting the nipple with the center of the clavicle. After deciding the interval between the nipples, this value can be used to configure the locations of nipples by drawing a tangent, with equal length, from the anterior neck point (which is the center of clavicle) to the nipple. Also, since inside points of breast do not exist, the outer point of breast, upper point of breast, and below point of breast on the same plane, and the depths from the nipple point to the respective points, are applied to simulate a 3D image, by modifications along the x, y, and z axes. Depending on the type of breast, the length from the center of shoulder to the nipple, the diameter of breast, upper length of breast, and the position of nipple, are different. In conical or protruding breast, the wearing sensation is better when the nipple point of brassiere was lifted, by modifying the upper and lower lengths of breast. Considering the wearing sensation and function of a brassiere, it was better to leave the wearer's size as it is and use a pad within the same cup, rather than increase the basal area of the breast in order to increase the volume.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.11
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• pp.5823-5828
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• 2012

Background: Breast cancer (BC) is one of the most common cancer affecting women worldwide. Although a great deal of progress has been made in the health sciences, early diagnosis, and increasing community awareness, breast cancer remains a life-threatening illness. In order to reduce this threat, breast cancer screening needs to be implemented in all communities where possible. Objective: The purpose of this study was to examine health beliefs, attitudes and behaviors about breast cancer and breast self-examination of Turkish women. Methods: Data were collected from a sample of 656 women, using an adapted Turkish version of Champion's Health Belief Model Scale (CHBMS), between January and May 2011, in Ordu province of Turkey. Results: The results showed that 67.7% of women had knowledge about and 55.8% performed BSE, however 60.6% of those who indicated they practiced BSE reported they did so at irregular intervals. CHBMS subscales scores of women according to women's age, education level, occupation, family income and education level of the women's mothers, family history of breast cancer, friend and an acquaintance with breast cancer, knowledge about breast cancer, BSE and mammography were significantly different. Conclusion: Knowledge of women about the risks and benefits of early detection of breast cancer positively affect their health beliefs, attitudes, and behaviors. Health care professionals can develop effective breast health programs and can help women to gain good health behavior and to maintain health.