• Title/Summary/Keyword: Breast mass

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Detection of mass type-Breast Cancer using Homogeneity and Ranklets on Dense Mammographic Images (Homogeneity와 Ranklets를 이용한 치밀 유방에서의 종괴(mass)형 암 검출)

  • Park, Jun-Young;Chon, Min-Su;Kim, Won-Ha;Kim, Sung-Min
    • Proceedings of the KIEE Conference
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    • 2006.10c
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    • pp.148-150
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    • 2006
  • In this paper, we propose a new method for detection of mass-type breast cancer in dense mammogram. As the proposed method analyzes texture of the breast tissue using method by fusing Homogeneity and Ranklets, improve problem of traditional method. Homogeneity gives the measure of uniform density, and Ranklets determine orientation selective property at vertical, horizontal and diagonal in mass region. The proposed method is suitable to dense mammogram with tangled normal tissue and cancer tissue. SVM(Support Vector Machine) classifier is used for effective detection of mass-type breast cancer in dense mammogram.

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Association Between Body Mass Index and Breast Density Using Digital Mammography (체질량지수와 디지털유방촬영술상의 유방밀도와의 연관성)

  • Kim, Mi-Young;Kim, Hwa-Sun
    • Journal of radiological science and technology
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    • v.37 no.4
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    • pp.267-272
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    • 2014
  • It is well known that low body mass index and younger age are associated with high breast density. Mammographic dense breast has been reported both as a cause of false-negative findings on mammography and as an indicator of increased breast cancer risk. The purpose of this study was to evaluate the association between breast density and body mass index. Furthermore, we considered proper screening method of breast cancer in Korean women. The study was performed on 496 women who underwent health checkup in a university hospital. Age and body mass index were negatively associated with breast density respectively. In postmenopausal women, age and body mass index showed statistically significant association with breast density. Therefore, we should consider sensitive additional method for breast cancer screening especially in younger age and underweight women.

Correlation of Breast Tissue Density and Body Mass Index (유방조직의 밀도와 체질량지수와의 상관관계)

  • Yang, Jung-Hak;Lee, Taik-Jong
    • Archives of Plastic Surgery
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    • v.37 no.6
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    • pp.732-735
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    • 2010
  • Purpose: In performing breast reconstruction, making symmetrical breast is still a challenge. A precise estimate of the volume of the breast specimen is necessary to reconstruct a symmetrical and aesthetically pleasing breast. This study aims at finding out the relationship with breast tissue density and body mass index designed to apply for breast reconstruction. Methods: By using the Archimedes' principle, the authors calculated the volume of the breast specimen and drew a correlation between the density of breast specimen and BMI. From October 2002 to November 2004, this method was used on 197 patients to predict breast volume for TRAM flap reconstruction. Results: The mean density was 0.9954g/cc and had no correlation with BMI (p-value=0.069). There was no difference between denstiy of breast tissue after skin spared mastectomy and that of breast tissue after nipple spared mastectomy. Conclusion: These data will be helpful to predict the needed volume for breast reconstruction.

An Automatic Breast Mass Segmentation based on Deep Learning on Mammogram (유방 영상에서 딥러닝 기반의 유방 종괴 자동 분할 연구)

  • Kwon, So Yoon;Kim, Young Jae;Kim, Gwang Gi
    • Journal of Korea Multimedia Society
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    • v.21 no.12
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    • pp.1363-1369
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    • 2018
  • Breast cancer is one of the most common cancers in women worldwide. In Korea, breast cancer is most common cancer in women followed by thyroid cancer. The purpose of this study is to evaluate the possibility of using deep - run model for segmentation of breast masses and to identify the best deep-run model for breast mass segmentation. In this study, data of patients with breast masses were collected at Asan Medical Center. We used 596 images of mammography and 596 images of gold standard. In the area of interest of the medical image, it was cut into a rectangular shape with a margin of about 10% up and down, and then converted into an 8-bit image by adjusting the window width and level. Also, the size of the image was resampled to $150{\times}150$. In Deconvolution net, the average accuracy is 91.78%. In U-net, the average accuracy is 90.09%. Deconvolution net showed slightly better performance than U-net in this study, so it is expected that deconvolution net will be better for breast mass segmentation. However, because of few cases, there are a few images that are not accurately segmented. Therefore, more research is needed with various training data.

BreastLight Apparatus Performance in Detection of Breast Masses Depends on Mass Size

  • Shiryazdi, Seyed Mostafa;Kargar, Saeed;Taheri-Nasaj, Hossein;Neamatzadeh, Hossein
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.3
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    • pp.1181-1184
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    • 2015
  • Background: Accurate measurement of breast mass size is fundamental for treatment planning. We evaluated performance of BreastLight apparatus in detection breast of masses with this in mind. Materials and Methods: From July 2011 to September 2013, a total of 500 women referred to mammography unit in Yazd, Iran for screening were recruited to this study. Performance of BreastLight in detection breast masses regard their sizeing, measured with clinical breast examination (CBE), mammography and sonography, was assessed. Sonographic and mammography examinations were performed according to breast density among women in two groups of women younger (n=105) and older (n=395) than 30 years. Size correlations were performed using Spearman rho analysis. Differences between mass size as assessed with the different methods (mammography, sonography, and clinical examination) and the BreastLight detection were analyzed using $X^2$-trend test. Results: Performance of the BreastLight in detection of lesions smaller than or equal to 1 cm assessed by CBE, mammography and sonography was 4.4%,7.7% and 12.5% and for masses larger than 4 cm was 65%, 100% and 57.1%, respectively. The performance of BreastLight in detection was significantly increased with larger masses (p<0.001). Conclusions: We conclude that clinical measurement of breast cancer size is as accurate as that from mammography or ultrasound. Accuracy can be improved by the use of a simple formula of both clinical and mammographic measurements.

A Case Report of Breast Angiosarcoma in a Young Woman

  • Park, Jaeyeon;Kang, Bong Joo;Kim, Sung Hun;Lee, Jeongmin;Lee, Ahwon
    • Investigative Magnetic Resonance Imaging
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    • v.25 no.2
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    • pp.135-140
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    • 2021
  • Breast angiosarcoma is a very rare manifestation. Herein, we report a case of breast angiosarcoma in a 21-year-old woman admitted to our hospital with a one-year history of a palpable mass with fullness and swelling of the right breast. The various imaging findings, including mammography, ultrasound (US), and magnetic resonance imaging (MRI), of this rare disease are described. The imaging findings of US and combined MRI of breast angiosarcoma were specific in this case. The imaging characteristics could be helpful in detecting and diagnosing breast angiosarcoma in young women with a palpable mass with fullness and swelling of the breast.

The Effects of Education on Breast Self-Examination Practices (유방자가검진 교육이 자가검진 행위에 미치는 영향)

  • 최경옥;서연옥
    • 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.

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Differences Between Breast Cancer Patients Younger and Older than 40 Years: Mammographic Findings

  • Zhao, Yu-Mei;Wang, Jian-Tao;Liu, Jing;Wang, Ju;Wang, Hong-Li;Liu, Pei-Fang
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.12
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    • pp.4929-4932
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    • 2014
  • Objective: To compare the mammogarphic appearance between breast cancer patients aged <40 and ${\geq}40$ years. Methods: Needle localization and biopsy of suspicious mammographic lesions identified 1,959 breast carcinomas in a single institution from Jun 2012 to Apr 2013. According to the age, we divided patients into two groups: <40 and ${\geq}40$ years old, and analyzed mammographic appearance separately. Results: Young patients had 44.2% foci with calcification, but old patients only had 39.4% (P<0.001). In younger group, the ratios of cases according to mass density were 41.8% or higher, 58.2% equivalent and lower. In older group, the ratios were 55.5 % and 44.5%, respectively. There were statistical differences between high density and others (P<0.05). The ratios of cases according to mass margin were 13.9% circumscribed and microlobulated, 86.1% indistinct and spiculated in the younger group, as compared to 6.5% and 93.5%, respectively, in the older group (P<0.05). Conclusions: Mammographic findings differ between young and old patients with breast cancer, for example regarding mass density, mass margin and microcalcification ratios.

Imaging Findings of Breast Metastasis from Malignant Peripheral Nerve Sheath Tumor of Mediastinum: A Case Report (종격동 악성 말초 신경 초종으로부터 유방 전이의 영상 소견: 증례 보고)

  • So Hyeong Park;Ji Yeon Park;Mee Joo
    • Journal of the Korean Society of Radiology
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    • v.84 no.3
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    • pp.770-775
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    • 2023
  • Malignant peripheral nerve sheath tumor (MPNST), a rare soft-tissue sarcoma, is most commonly located in the trunk, extremities, and head and neck, but rare in the breast. We report a metastatic breast MPNST in a 27-year-old woman with neurofibromatosis type 1 (NF-1). Chest computed tomography revealed a well-defined, oval, mildly enhancing nodule in the right breast. US revealed a circumscribed, oval, heterogeneous echoic mass with vascularity and intermediate elasticity in the right upper outer breast. The breast mass was excised and diagnosed as MPNST on histopathology evaluation. Although rare, it should be included in the differential diagnosis of breast mass in NF-1 patient.

A Case Report of Juvenile Hypertrophy of the Breast in a 15-Year-Old Girl: Presented with Asymmetric Breast Enlargement and a Focal Mass-like Lesion

  • Park, Jae Yeon;Kim, Sung Hun;Jung, Na Young;Kang, Bong Joo;Lee, Ah Won;Jin, Min-Sun
    • Investigative Magnetic Resonance Imaging
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    • v.23 no.2
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    • pp.175-178
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    • 2019
  • Juvenile hypertrophy of the breast is a rare condition, leading to hyperplastic breast anomalies in adolescents. Here, we report a case involving a 15-year-old girl, presented with asymmetric enlargement of the left breast. Pronounced parenchymal thickening was found on initial ultrasonography (US). MRI and second-look US revealed a focal mass-like lesion on the left mid-lateral breast, confirmed as juvenile hypertrophy of the breast on pathology.