• Proceedings of the KOSOMBE Conference
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• v.1995 no.05
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• pp.142-145
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• 1995

스크린-필름 X선 유방조영술(Screen-film X-ray mammography)은 유방암 진단을 위한 기준이 되는 방법으로 독보적인 위치를 차지하고 있다. 그러나 현재 사용되는 스크린-필름 방식 유방조영술은 여러 가지 한계점들이 인식되어 왔으며, 만약 유방 X선 사진(mammogram)이 디지탈 형식으로 곧 바로 얻어진다면 영상의 질(image quality)과 방사선량의 감소 가능성 관점에서 향상될 수 있다는 증거가 있다. 본 논문에서는, 디지탈 유방조영술에 대한 논리적 근거가 제시되고, 스크린 대용으로 개발되고 있는 X-선 검출기들과 이들을 사용한 여러가지 디지탈 유방조영술 시스템들을 분석 전망한다. 디지털 유방조영술을 실용화하기 위해 해결되어야 할 문제점들이 논의된다.

• Journal of the Korea Society of Computer and Information
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• v.21 no.1
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• pp.9-16
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• 2016

In this paper, we present a performance evaluation agent based on fuzzy cluster analysis and validity measures. The proposed agent is consists of three modules, fuzzy cluster analyzer, performance evaluation measures, and feature ranking algorithm for feature selection step in CAD system. Feature selection is an important step commonly used to create more accurate system to help human experts. Through this agent, we get the feature ranking on the dataset of mass and calcification lesions extracted from the public real world mammogram database DDSM. Also we design a CAD system incorporating the agent and apply five different feature combinations to the system. Experimental results proposed approach has higher classification accuracy and shows the feasibility as a diagnosis supporting tool.

• Journal of the Optical Society of Korea
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• v.9 no.4
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• pp.157-161
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• 2005

Medical infrared imaging is obtained by measuring the self-emitted infrared radiance from the human body. Infrared emission is related to surface temperature and temperature is one of the most important physiological parameters related to health. Though recent applications such as security identification and oriental medicine have provided new fields of biomedical applications, infrared thermography has had ups and downs in its usages in cancer detection. Some of the main difficulties include finding proper applications and efficient diagnostic algorithms. In this study, infrared thermal imaging was used to detect regional metastasis of breast cancer. Our measurements were done for 110 women. From 63 individuals of a Healthy Group and a Benign Breast Disease Group, we developed algorithms for differentiating malignant regional metastasis based on temperature difference and asymmetry of temperature distribution. Testing with 47 cancer patients, we achieved a positive predictive value of $87.5\%$ and a negative predictive value of $95.6\%$. The results were better than for mammogram examination. A proper analysis of infrared imaging proved to be a highly informative and sensitive method for differentiating regional cancer metastasis from normal regions.

• The Korean Journal of Nuclear Medicine
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• v.33 no.5
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• pp.452-460
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• 1999

Purpose: The purpose of this study was to evaluate the diagnostic usefulness of scintimammography per-formed with Tc-99m tetrofosmin in the detection of primary breast cancer Materials and Methods: Sixty-one patients underwent Tc-99m tetrofosmin scintimammography, plain-film mammography and ultrasonography. After intravenous injection of Tc-99m tetrofosmin (740 MBq), prone lateral and anterior scintimammograms were obtained. Scintimammogram was visually interpreted as positive, probably positive, probably negative and negative for malignancy. The tumor to background count ratio (T/B) was measured at 5 minutes and 1 hour. Plain-film mammogram was interpreted as one of 5 categories. Final diagnosis was achieved by surgical histology (58/61) or fine needle aspiration (3/61). Of 61 patients, 44 had cancer and 17 had benign lesion. Tumor size of malignant and benign lesions on ultrasonogram were $2.51{\pm}1.30cm$ (range 1-8 cm), $2.50{\pm}1.35cm$ (range 0.96-6 cm), respectively. Results: The sensitivity of plain-film mammography was 88.6%, specificity 58.8%, positive predictive value 84.7%, and negative predictive value 66.7% The sensitivity of Tc-99m tetrofosmin scintimammography was 90.9%; specificity, 88.2%; positive predictive value, 94.9%, negative predictive value, 18.9%. Of 25 patients with indeterminate degree of suspicion for malignancy on plain-film mammogram, 23 were correctly diagnosed by scintimammography. The T/B at 5 minutes and 1 hour were $3.78{\pm}2.21$, $3.25{\pm}1.80$ respectively. The T/B was decreased significantly at 1 hour (p<0.001). Conclusion: Tc-99m tetrofosmin scintimammography was useful dia-gnostic procedure in the detection of primary breast cancer, especially in patients with indeterminate degree of suspicion for malignancy on plain-film mammogram.

• Journal of Korean Academy of Nursing
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• v.30 no.5
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• pp.1265-1278
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• 2000

This study was carried out to assess the perception of decisional balance of Korean subjects about 4 health behaviors and to identify the influencing factor of decisional balance for exercise acquisition, smoking cessation, mammography screening and Kegel's exercise acquisition. All are representative health behaviors nurses can intervene in Korea based on the Transtheoretical model. Convenient samples of 2,484 subjects (191; exercise, 169; smoking cessation, 1903; mammography screening and 221; Kegel's exercise) were selected from cities and counties over 9 provinces throughout Korea, and the data was collected from January 1, 1999 to February 29, 2000. The research instrument were the Decisional Balance Measure for Exercise (Marcus & Owen., 1992), Smoking Cessation (Velicer et al., 1985), Mammography Screening (Rakowski et al.,1992) and Kegel Exercise (Lim, 1999) and Stage of Change Measure for Exercise (Marcus et al, 1992), Smoking Cessation (DiClemente et al., 1991), Mammography Screening (Rakowski et al.,1992) and Kegel's Exercise (Lim, 1999). The data was analyzed by the SAS Program. The results are as follows; 1. According to the stage of change measure, 2,484 subjects were distributed in each stage of change for four health behaviors: 1,233 subjects (49.8%), 745 subjects (30.2%), 113 subjects (4.7%), 156 subjects (6.5%), and 216 (8.7%) belonged to the pre- contemplation stage, contemplation stage, preparation stage, action stage and maintenance stage. They were all series of stages of change in their efforts to do health behavior. 2. Factor analysis identified 3 factors (1 of Pros, 2 of Cons) for the exercise, 4 factors for smoking cessation (2 of Pros, 2 of Cons), 2 factors (1 of Pros, 1 of Cons) for the mammogram screening and 2 factors (1 of Pros, 1 of Cons) for Kegel's exercise of decisional balance. 3. The analysis of variance and multiple comparison analysis showed that for all 4 samples, the Cons of changing the problem behaviors outweighed the Pros for subjects who were in the pre- contemplation stage, The opposite was true for subjects in action and maintenance stage. 4. Through the discriminant analysis, it was found that one factor of Pros for exercise, one factor of Cons for smoking cessation, 1 factor of Cons for mammogram screening and one factor of Cons for Kegel's exercise were the more influencing factors, than others in discriminating the stages of change. Results are consistent with the applications of the Transtheoretical model, which have been used to understand how people change health behaviors. This results provide some evidence that subject's report of his/her health behavior corresponds to beliefs about usefulness of related health behaviors. The results of this study have implications for patients' health education and health intervention strategies. The findings of this study give useful information for nursing educators for 4 health behaviors, especially the factors relating to decision making in the different stages of change.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.5
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• pp.1929-1934
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• 2015

Purpose: To determine the diagnostic yield of primary circulating tumor cells in women with suspicion of breast cancer, detected as a result of an abnormal mammography. Materials and Methods: Consecutive women presenting for breast biopsy as a result of a mammogram BiRADs of 3 or more, had an 8ml blood sample taken for primary circulating tumor cell (CTC) detection. Mononuclear cells were obtained using differential gel centrifugation and CTCs identified using standard immunocytochemistry using anti-mammoglobin. A test was determined to be positive if 1 CTC was detected. Results: A total of 144 women with a mean age of $54.7{\pm}15.6$ years participated, 78/144 (53.0%) had breast cancer on biopsy, 65/140 (46.3%) benign pathologies and 1(0.7%) non-Hogkins lymphoma. Increasing BiRADs scores were associated with increased cancer detection (p=0.004, RR 1.00, 4.24, 8.50). CTC mammoglobin positive had a sensitivity of 81.1% and specificity of 90.9%, with positive and negative predictive values of 90.9% and 81.1% respectively. Mammoglobin positive CTCs detected 87% of invasive cancers, while poorly differentiated cancers were negative for mammoglobin. Only 50% of in situ cancers and none of the intraductal cancers had CTCs detected. Menopausal status did not affect the diagnostic yield of the CTC test, which was higher in women with BiRADS 4 mammograms. There was a significant trend (p<0.0001 Chi squared for trends) in CTC detection frequency from intraductal, in situ and invasive (OR 1.00, 8.00, 472.00). Conclusions: The use of primary CTC detection in women suspected of breast cancer has potential uses, especially with invasive cancer, but it failed to detect intra-ductal cancer and 50% of in situ cancer. There was no difference in the diagnostic yield between pre and post menopausal women. To confirm its use in reducing biopsies in women with BIRADs 4a mammagrams and in the detection of interval invasive breast cancer, larger studies are needed.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.5
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• pp.2549-2554
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• 2016

Background: Early detection remains the cornerstone of breast cancer control in terms of outcome and survival. Thus far the only breast cancer screening method proven effective is mammography. The awareness of female health care workers (HCW) about breast cancer prevention is of vital importance, as their beliefs and behavior may have a major impact on other women. This study was designed to assess mammography screening uptake among female healthcare workers at primary healthcare centers, and to identify the primary motivators and barriers that affect uptake results. Materials and Methods: A cross sectional study design was used to assess mammography screening by 299 female healthcare workers who completed a self-administered questionnaire that assessed demographics, screening uptake, motivators and barriers. Results: The mean age was 46 years (within age of risk). The majority (95.1%) demonstrated adequate knowledge about breast cancer and mammography screening and 50% of the participants reported having at least one mammogram; however only 21% of them had regularly scheduled mammograms. The most frequent reported motivator was the perceived benefit that early detection of breast cancer is important for its management (89.6%), followed by the belief that mammography can detect breast cancer before its symptoms appear (84.4%). On the other hand, the most frequent barrier reported was being busy (46.7%), followed by the lack of perceived susceptibility (41.5%). Conclusions: Mammography screening was found to be sub-optimal in a population of HCW's with 50 % stating that they received a mammogram at least once, and a minority reported regular screening. There is a pressing need for educational programs aimed at removing the barriers that limit compliance with recommendations for mammography screening, and to emphasize the importance of early detection in breast cancer treatment. Ensuring the availability and accessibility of screening services, particularly for healthcare workers within their work settings are other important factors that would improve the acceptance and compliance for mammography screening programs.

• Journal of Multimedia Information System
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• v.3 no.3
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• pp.97-102
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• 2016

Deep learning enables machines to have perception and can potentially outperform humans in the medical field. It can save a lot of time and reduce human error by detecting certain patterns from medical images without being trained. The main goal of this paper is to build the optimal model for breast mass classification by applying various methods that influence the performance of Convolutional Neural Network (CNN). Google's newly developed software library Tensorflow was used to build CNN and the mammogram dataset used in this study was obtained from 340 breast cancer cases. The best classification performance we achieved was an accuracy of 0.887, sensitivity of 0.903, and specificity of 0.869 for normal tissue versus malignant mass classification with augmented data, more convolutional filters, and ADAM optimizer. A limitation of this method, however, was that it only considered malignant masses which are relatively easier to classify than benign masses. Therefore, further studies are required in order to properly classify any given data for medical uses.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.4
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• pp.325-334
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• 2001

It is shown that the multiscale prewhitening matched filter for detecting Gaussian objects in Markov noise can be implemented by the undecimated wavelet transform with a biorthogonal spline wavelet. If the object to be detected is Gaussian shaped and its scale coincides with one of those computed by the wavelet transform, and if the background noise is truly Markov, then optimum detection is realized by thresholding the appropriate details image. Our detection algorithm is applied to the digitized mammograms for detecting microcalcifications. However, microcalcifications are not exactly Gaussian shaped and its background noise may not be Markov. In order to campensate for these discrepancy, Hotelling observer is employed, which is applied to feature vectors comprised of 3-octave wavelet coefficients.

• 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.