• Research in Community and Public Health Nursing
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• v.15 no.1
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• pp.155-164
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• 2004

Purpose: The purpose of this study was to identify factors affecting early detection behaviors of breast cancer such as breast self examination(BSE), breast physical examination, mammography. Method: The subjects were 141 women on an island and materials were collected through an organized questionnaire from March, to August 2002. The data were analyzed by using descriptive statistics, $x^2$ and logistic analysis by SAS program. Results: 52.7% of the subjects performed breast self examination, 67.2% did breast physical examination and 67.7% did mammography. That is, about 60% of the subjects performed early detection behavior to find the breast cancer. Practice of breast self examination was significantly correlated with experience of physician examination and mammography. The most significant factor on BSE was a normal salted diet, and the most significant factor on physical examination and mammography was the high education level of subjects. Conclusions: According to the results of this study, it suggests that intensive education and information strategies for breast cancer early detection need to be developed. In particular, early detection programs for lower educated women should be activated.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4578-4589
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• 2011

The technologies of image acquisition, display, and storage of the breast have been developed in their specialized fields in recent years. The image acquisition system is a device that absorbs and stores images after examining breast tissue using X-ray. Due to the specificity and sensitivity of imaging, the early detection of breast cancer is feasible. In this paper, the current technologies for digital mammography are reviewed, and we propose a digital mammography and evaluate the performance of the implemented system.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.2137-2139
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• 2013

Breast cancer is the most common cancer among females, worldwide, accounting for 22.9% of all cancers (excluding non-melanoma skin cancer) in females. Mammography is a sensitive (77-95%) and specific (94-97%) screening method for breast cancer. Previously, females between the 40-50 years old were recommended to have mammograms every one to two years. However, based on current evidence, in 2009, USPSTF recommended that the decision to start regular, biennial screening mammography for females younger than 50 years should be an individual decision and take patient context into account, including the patient's values regarding specific benefits and harms. This decision was based on findings regarding radiation exposure, false-positive and false-negative rates, over-diagnosis, and pain and psychological responses. The goal of this paper is to focus on evidence for updating the U.S. Preventive Services Task Force (USPSTF) recommendation against routine mammography for females between 40-49 years of age.

• Journal of radiological science and technology
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• v.42 no.1
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• pp.9-17
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• 2019

Although digital mammography is a representative method for breast cancer detection. It has a limitation in detecting and classifying breast tumor due to superimposed structures. Machine learning, which is a part of artificial intelligence fields, is a method for analysing a large amount of data using complex algorithms, recognizing patterns and making prediction. In this study, we proposed a technique to improve the diagnostic accuracy of energy-selective mammography by training data using the machine learning algorithm and using dual-energy measurements. A dual-energy images obtained from a photon-counting detector were used for the input data of machine learning algorithms, and we analyzed the accuracy of predicted tumor thickness for verifying the machine learning algorithms. The results showed that the classification accuracy of tumor thickness was above 95% and was improved with an increase of imput data. Therefore, we expect that the diagnostic accuracy of energy-selective mammography can be improved by using machine learning.

• Korean Journal of Digital Imaging in Medicine
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• v.12 no.2
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• pp.89-95
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• 2010

High contrast and high resolution are the most important factors for examining mammography images. Despite of the inconveniences of screen-film, most clinics still prefer them to computed radiography(CR) and direct radiography(DR). The reading of screen-film mammography images is influenced by the brightness from the X-ray illuminator, the exam room and incoming light from outside sources. Therefore, a comparative analysis on the results of mammo phantom images would be variated by the changes in the reading environment. There was no influence on reading results from the examiners close distance eyesight(p > 0.05); however, reading of micro lesions improved with greater darkness in the X-ray film reading room and the brightness of the X-ray illuminator(p < 0.05). Also, observation of fiber and mass images were maximized at a distance of 50 cm from the reader. Now, it is possible to observe these small classification groups using a magnifying glass without being physically close to the image. For the image of mammography, obtaining high quality images is important but in order to get an accurate clinical lesions of the reading also needs to be considered the optimal environmental factors.

• The Korean Journal of Nuclear Medicine
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• v.35 no.4
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• pp.213-223
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• 2001

Breast cancer accounts for the higher proportion of cancer related deaths among women, and the incidence of this malignant disease is still increasing. The commonly used screening method is mammography. However, mammography has the drawback of low specificity in differentiating malignant and benign breast diseases. To overcome this low specificity of mammography, scintimammography using various radiopharmaceuticals such as Thallium-201, Tc-99m MIBI, Tc-99m tetrofosmin and Tc-99m MDP was introduced and now actively under the investigation. Several studios have shown that high sensitivity and specificity in detection of primary breast cancer and axillary lymph node metastases using these radiopharmaceuticals. Scintimammography may play important roles in the diagnosis of primary breast cancer, evaluation of the patients with high risk, determining axillary lymph node metastasis, evaluation of the response to chemotherapy, determining the extent of disease, and surveillance of local recurrence. In the future, we should investigate the prognostic role of scintimammography after treatment of breast cancer patients and cost-effectiveness of scintimammography in the detection of primary breast cancer.

• Korean Journal of Digital Imaging in Medicine
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• v.12 no.2
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• pp.133-138
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• 2010

The purpose of this study was to survey and test quality control of mammography system. The conclusion of this study is as follows ; First, The rate of pass for phantom image test shows that Film-Screen mammography system(F/S) and computed mammography system(CR) is 80%, Indirect digital mammography system(DR) is 100%. Second, The test of exposure dose shows that F/S is 921 mR. CR is 1,140 mR, DR is 474 mR. The grade of this testament is CR > F/S > DR. Third, The test of average glandular dose shows that F/S is 1,336 mGy, CR is 1,635 mGy, DR is 1,26 mGy. The grade of this testament is CR > F/S > DR. Fourth, The testament of resolution shows as follows F/S is 11~13 Lp/mm, CR is 4~5 Lp/mm, and DR is 5~7 Lp/mm(F/S > DR > CR) Fifth, The survey of projection, cassette, development and reading shows that user are indifference.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.1
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• pp.31-34
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• 2015

While mammography has been used for diagnosis of breast cancer in Kazakhstan for a long period, published data are very limited. Recently stress has been placed on increasing the accuracy by double reading of mammograms. Here we provide an overview of breast cancer screening in the different regions of Kazakhstan with data on the stages of cancers detected. A total 459,816 women aged 50, 52, 54, 56, 58 and 60 years were screened in 2012 and 379,903 in the first 9 months of 2013. Clear differences in levels of detection were noted between urban and rural residents, the latter demonstrating lower rates for both screening and cancer detection. Women aged 50 were more likely to undergo screening than their counterparts aged 60. While there were no clear relationships evident between screening rates and stage or numbers of breast cancers observed, this might be due to a number of complicating factors like geographical variation in risk factors as well as ethnicity. Future analyses should focus on the efficacy of mammography in Kazakhstan to reduce mortality.

• Korean Journal of Adult Nursing
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• v.21 no.6
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• pp.580-592
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• 2009

Purpose: The purpose of this study was to investigate the factors related to Breast cancer Screening using Mammography and CBE of Korean women over 40 years of age. Methods: The participants for this study were 183 Korean women living in 3 urban cities and aged from 40 to 75. The data were collected using structured questionnaires which included sociodemographic factors (11 items), frequency and regularity of mammography and clinical breast examination (7 items), knowledge (16 items), health belief model scale (28 items), and family support (4 items) about breast cancer and breast cancer screening. Frequencies, Chronbach's alpha for reliability, Chi-square, t-test and logistic regression with the SPSS/WIN 12 program were used to analyze the data. Results: The percentages of Korean women who had a mammography and CBE for breast cancer screening were 60.1 and 31.1, respectively. Logistic regression analyses demonstrated that regular check ups and perceived barriers were significant predictors of mammography and CBE use for breast cancer screening. Conclusion: In order to increase the frequency of breast cancer screening practices, educational support and a health care delivery system is needed to improve the chance of regular health check ups.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.8
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• pp.3595-3600
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• 2012

Objective: The objective of this study was to determine the practice and barriers of mammography and associated factors among Malaysian women in the general population. Methodology: A cross-sectional study was conducted among 200 women in Shah Alam, Selangor; Malaysia. The questionnaire contained 27 questions and was comprised of two sections; socio-demographic characteristics and practices, knowledge and barriers of mammography. All the data were analyzed using the Statistical Package for the Social Sciences (SPSS) 13.0. Results: Of the 200 Malaysian women who participated in this study, the majority were under the age of 50 years (65.5%), Malay (86%), and married (94.5%). Regarding any family history of cancer in general, the majority of the participants had none (78%). However, some did report a close relative with breast cancer (16.5%). While the majority of them knew about mammography (68%), 15% had had a mammogram once in their life and only 2% had the procedure every two or three years. Univariate analysis showed that age, family history of cancer, family history of breast cancer, regular supplement intake, regular medical check-up and knowledge about mammogram were significantly associated with mammogram practice among the general population (p=0.007, p=0.043, P=0.015, p=0.01, p=0.001, p<0.001; respectively). Multivariate analysis using multiple linear regression test showed that age, regular medical check-up and knowledge about mammography testing were statistically associated with the practice of mammography among the general population in Malaysia (p=0.035, p=0.015 and p<0.001; respectively). Lack of time, lack of knowledge, not knowing where to go for the test and a fear of the test result were the most important barriers (42.5%, 32%, 21%, 20%; respectively). Conclusion: The practice of mammogram screening is low among Malaysian women.