• 한국산학기술학회논문지
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• 제12권10호
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• pp.4578-4589
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• 2011

최근 디지털 유방촬영술 분야에서 영상의 획득장치, 표시장치, 저장장치는 각각 별도의 분야로 발전하고 있다. 영상획득장치는 유방을 통과한 X-선을 흡수 포착하여 영상으로 저장하는 장치인데, 이를 이용하여 촬영된 영상은 여러 가지의 영상처리기술을 이용하여 진단이 가능하기 때문에 조기에 병변을 발견할 수 있다. 본 논문에서는 지금까지의 디지털 유방촬영술의 기술에 대하여 알아보고 구현된 디지털 유방X-선촬영기의 성능을 분석한다.

• Korean Journal of Radiology
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• 제21권5호
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• pp.550-560
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• 2020

Objective: To evaluate the interobserver agreement, diagnostic value, and associated clinical factors of automated breast ultrasound (ABUS) coronal features in differentiating breast lesions. Materials and Methods: This study enrolled 457 pathologically confirmed lesions in 387 female (age, 46.4 ± 10.3 years), including 377 masses and 80 non-mass lesions (NMLs). The unique coronal features, including retraction phenomenon, hyper- or hypoechoic rim (continuous or discontinuous), skipping sign, and white wall sign, were defined and recorded. The interobserver agreement on image type and coronal features was evaluated. Furthermore, clinical factors, including the lesion size, distance to the nipple or skin, palpability, and the histological grade were analyzed. Results: Among the 457 lesions, 296 were malignant and 161 were benign. The overall interobserver agreement for image type and all coronal features was moderate to good. For masses, the retraction phenomenon was significantly associated with malignancies (p < 0.001) and more frequently presented in small and superficial invasive carcinomas with a low histological grade (p = 0.027, 0.002, and < 0.001, respectively). Furthermore, continuous hyper- or hypoechoic rims were predictive of benign masses (p < 0.001), whereas discontinuous rims were predictive of malignancies (p < 0.001). A hyperechoic rim was more commonly detected in masses more distant from the nipple (p = 0.027), and a hypoechoic rim was more frequently found in large superficial masses (p < 0.001 for both). For NMLs, the skipping sign was a predictor of malignancies (p = 0.040). Conclusion: The coronal plane of ABUS may provide useful diagnostic value for breast lesions.

• International Journal of Computer Science & Network Security
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• 제23권12호
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• pp.151-160
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• 2023

Breast cancer is the most dangerous and deadly form of cancer. Initial detection of breast cancer can significantly improve treatment effectiveness. The second most common cancer among Indian women in rural areas. Early detection of symptoms and signs is the most important technique to effectively treat breast cancer, as it enhances the odds of receiving an earlier, more specialist care. As a result, it has the possible to significantly improve survival odds by delaying or entirely eliminating cancer. Mammography is a high-resolution radiography technique that is an important factor in avoiding and diagnosing cancer at an early stage. Automatic segmentation of the breast part using Mammography pictures can help reduce the area available for cancer search while also saving time and effort compared to manual segmentation. Autoencoder-like convolutional and deconvolutional neural networks (CN-DCNN) were utilised in previous studies to automatically segment the breast area in Mammography pictures. We present Automatic SegmenAN, a unique end-to-end adversarial neural network for the job of medical image segmentation, in this paper. Because image segmentation necessitates extensive, pixel-level labelling, a standard GAN's discriminator's single scalar real/fake output may be inefficient in providing steady and appropriate gradient feedback to the networks. Instead of utilising a fully convolutional neural network as the segmentor, we suggested a new adversarial critic network with a multi-scale L1 loss function to force the critic and segmentor to learn both global and local attributes that collect long- and short-range spatial relations among pixels. We demonstrate that an Automatic SegmenAN perspective is more up to date and reliable for segmentation tasks than the state-of-the-art U-net segmentation technique.

• Asian Pacific Journal of Cancer Prevention
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• 제15권20호
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• pp.8607-8612
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• 2014

Background: Breast cancer patients experience a variety of altered appearance - such as loss or disfigurement of breasts, discolored skin, and hair loss - which result in psychological distress that affect their quality of life. This study aims to evaluate the impact of socioeconomic status on the altered appearance distress, body image, and quality of life among Korean breast cancer patients. Materials and Methods: A cross-sectional survey was conducted at advocacy events held at 16 different hospitals in Korea. Subjects were eligible to participate if they were 18 years of age or older, had a histologically confirmed diagnosis of breast cancer, had no evidence of recurrence or metastasis, and had no psychological problems at the time of the survey. Employment status, marital status, education, and income were assessed for patient socioeconomic status. Altered appearance distress was measured using the NCI's cancer treatment side effects scale; body image and quality of life were measured by the EORTC QLC-C30 and BR23. Means and standard deviations of each outcome were compared by socioeconomic status and multivariate linear regression models for evaluating the association between socioeconomic status and altered appearance distress, body image, and quality of life. Results: A total of 126 breast cancer patients participated in the study; the mean age of participants was 47.7 (SD=8.4). Of the total, 83.2% were married, 85.6% received more than high school education, 35.2% were employed, and 41% had more than $3000 in monthly household income. About 46% had mastectomy, and over 30% were receiving either chemotherapy or radiation therapy at the time of the survey. With fully adjusted models, the employed patients had significantly higher altered appearance distress (1.80 vs 1.48; p<0.05) and poorer body image (36.63 vs 51.69; p<0.05) compared to the patients who were unemployed. Higher education (10.58, standard error (SE)=7.63) and family income (12.88, SE=5.08) was positively associated with better body image after adjusting for age, disease stage at diagnosis, current treatment status, and breast surgery type. Similarly, patients who were married and who had higher education had better quality of life were statistically significant in the multivariate models. Conclusions: Socioeconomic status is significantly associated with altered appearance distress, body image, and quality of life in Korean women with breast cancer. Patients who suffer from altered appearance distress or lower body image are much more likely to experience psychosocial, physical, and functional problems than women who do not, therefore health care providers should be aware of the changes and distresses that these breast cancer patients go through and provide specific information and psychosocial support to socioeconomically more vulnerable patients.

• 대한간호학회지
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• 제42권6호
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• pp.907-915
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• 2012

Purpose: A diagnosis of breast cancer is one of the most traumatic events that threatens a woman's life, but while women adapt to and overcome these threats, they not only experience negative aspects, but also growth. The purpose of this study was to identify the many factors that affect growth, and to provide fundamental information for nursing interventions, which can help the women in their growth. Methods: The participants in this study were 131 married women patients with breast cancer, who were on medical treatment in one of two university hospitals, in Seoul and Chungnam. Data were collected for posttraumatic growth, self-esteem, cancer coping questionnaire, marital intimacy, and body image. The data were analyzed using the SPSS 19.0 program (IBM). Results: Interpersonal cancer coping, intrapersonal cancer coping (planning) and self-esteem accounted for 29.0% of posttraumatic growth. Conclusion: These findings indicate that in order to help the women's growth after the trauma of breast cancer, it is necessary to enhance their self-esteem, and to develop psycho-social nursing supportive programs.

• Asian Pacific Journal of Cancer Prevention
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• 제16권15호
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• pp.6177-6186
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• 2015

Sensitivity and specificity are the two most important indicators in selection of medical imaging devices for cancer screening. Breast images taken by conventional or digital mammography, ultrasound, MRI and optical mammography were collected from 2,143,852 patients. They were then studied and compared for sensitivity and specificity results. Optical mammography had the highest sensitivity (p<0.001 and p<0.006) except with MRI. Digital mammography had the highest specificity for breast cancer imaging. A comparison of specificity between digital mammography and optical mammography was significant (p<0.021). If two or more breast diagnostic imaging tests are requested the overall sensitivity and specificity will increase. In this literature review study patients at high-risk of breast cancer were studied beside normal or sensitive women. The image modality performance of each breast test was compared for each.

• 한국콘텐츠학회논문지
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• 제14권6호
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• pp.247-254
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• 2014

유방촬영술은 유방암의 조기진단과 기본적인 스크리닝 검사의 진단방법으로서 디지털유방영상시스템의 보급과 유방촬영에 대한 관심이 점점 증가하고 있다. 유방영상의 화질은 타깃물질과 필터의 조합에 의해 결정되며, 이러한 조합은 X선 스펙트럼도 변화되지만 화질과 환자의 피폭선량에도 큰 영향을 주기 때문에 환자의 유선밀도와 두께에 따른 적합한 조합의 선택이 필요하다. 이에 본 연구에서는 디지털유방영상시스템에서 정량적인 영상평가와 몬테카를로 시뮬레이션을 이용한 환자의 피폭선량을 저감시킬 수 있는 타깃과 필터 조합을 제시하고자 한다. 그 결과 MTF, NPS, DQE의 영상평가에서 압박 유방의 두께가 얇은 경우는 Mo/Mo또는 Mo/Rh 조합, 두꺼운 경우에는 Rh/Rh또는 W/Rh조합의 영상이 우수하게 나타났다. 또한 임상에서 얇은 두께의 유방에 잘 사용하지 않는 W/Rh조합이 공간해상력 평가 결과에서 우수한 것으로 나타났다. 그리고 선량평가에서 압박 유방두께가 얇은 경우 Mo/Mo또는 Mo/Rh조합, 압박 유방두께 6cm 이상의 경우 Rh/Rh또는 W/Rh조합에서 피폭선량이 감소하였다. 두 번째 장기선량 평가에서는 검사 유방 외에 반대 유방의 선량이 검사 유방을 기준으로 약 47~73% 정도의 영향을 미치는 것으로 나타났다. 결론적으로 다양한 유방 두께에 따른 최적의 타깃과 필터 조합을 선택하는 것이 환자 피폭선량 감소에 도움이 될 것이다.

• 종양간호연구
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• 제8권2호
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• pp.86-92
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• 2008

Purpose: This study was designed to investigate the body-image and quality of life in breast cancer patients with mastectomy. Methods: Data were obtained by self-reported questionaries from 110 patients undergone mastectomy from August 1 to 31, 2007. And data were analyzed using SPSS/PC WIN 12.0 program and frequency, percentage, mean, minimum, maximum, t-test, ANOVA, Scheffe test, Pearson's Correlation Coefficient were used. The results of the study were as follows; 1) Mean of Body image of the subjects was $52.54{\pm}6.67$ (range of scale; 17 to 85). Mean of quality of life was $118.01{\pm}34.37$ (range of scale; 0 to 10). 2) There was no significant difference with the score of body image by demographic and disease-related characteristics of subjects. 3) There was significant difference with the score of quality of life by the work type and economic status of subjects. 4) Relationship between body image and quality of life showed moderately strong positive correlation (r=0.408, p<0.0001). Conclusion: Mean of body image and of quality of life in mastectomy patients were moderate. Relationship between body image and quality of life showed moderately strong positive correlation. Therefore, for improving the quality of life, it is needed to improve body image in breast cancer patients with mastectomy.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.319-321
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• 2004

The average glandular dose (AGD) is determined by the breast entrance skin exposure, x-ray tube target material, beam quality (half-value layer), breast thickness, and breast composition. Almost breast cancer always arises in glandular breast tissue. As a result, the average radiation absorbed dose to glandular tissue is the preferred measure of the radiation risk associated with mammography. If the normalized average glandular dose is known, the average glandular dose can be computed from the product of the normalized average glandular dose and breast entrance skin exposure. In this study, AGD was calculated by the breast thickness and various x-ray energy (HVL) in 50% glandular 50% adipose breast by Mo.-Rh. assembly. AGD is 84 mrad in compressed 5 cm breast. These results show that as increasing the breast thickness, dose also increases. But as increasing the x-ray tube voltage, dose decreases because of high penetrating ratio through the object. But high tube voltage is reducing the subject contrast. From this result, we have to consider the trade-off between subject contrast of image and dose to the patient and choose proper x-ray energy range.

• 대한방사선기술학회지:방사선기술과학
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• 제40권1호
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• pp.79-85
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• 2017

본 연구는 양전자 컴퓨터단층촬영(Positron Emission Computed Tomography; PET-CT) 유방암 영상에서 질환관심영역(Region of Interest; ROI)의 대조도 대 잡음비(Contrast to Noise Ratio; CNR)와 신호 대 잡음비(Signal to Noise Ratio; SNR)를 재구성 기법별로 측정 평가하여 통계적 분석을 하고자 하였다. 연구대상은 서울소재 대학병원에서 유방 양전자 컴퓨터단층촬영(Breast PET-CT)을 검사한 환자 100명이다. 측정방법은 ImageJ 프로그램을 사용하여 표본의 인구사회학적 특성, 영상 재구성 기법별 유방암의 SNR과 CNR의 평균값, 95% 신뢰구간 값, SNR과 CNR의 평균차이 값 등을 분석하였다. SPSS Statistics21 통계프로그램으로 ANOVA 분석을 하였으며 p<0.05에서 유의한 것으로 판단하였다. 영상 재구성 기법별 분석결과는 CNR과 SNR 모두 TrueX_TOF, Iterative, Iterative-TOF, FBP-TOF 순으로 높은 값을 나타냈다(p<0.05). CNR과 SNR수치로 영상 재구성 기법의 특징을 조합하여 PET/CT 검사의 정확성과 편의성을 제공할 것이라 사료된다.