• 대한세포병리학회지
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• 제8권2호
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• pp.174-178
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• 1997

Matrix producing carcinoma of the breast is a variant of heterologous metaplastic carcinoma which is defined as "overt carcinoma with direct transition to a cartilaoenous and/or osseous stromal matrix without an intervening spindle cell zone or osteoclastic cells". This tumor is very rare, occuring in less than 0.2% of total breast carcinoma, but the prognosis is better than other metaplastic carcinoma. We experienced a case of fine needle aspiration(FNA) cytologic finding of matrix producing carcinoma of the breast. A 75-year old woman, who presented a right huge breast mass$(9{\times}8cm)$ during 10months, was examined. Mammography reveals right lateral mass with even density without calcification. Breast ultrasonography shows multifocal hypoechogenic cystic change in the huge mass, suggesting resolving hematoma or carcinoma or sarcoma with necrosis. On cytologic finding of FNA, myxoid matrix was the dominant feature and the rest of the material was composed of scanty isolated atypical cells with large irregular nuclei. The histologic finding was moderately differentiated adenocarcinoma with abundant cartilagenous matrix and focal squamous metaplasia.

• IEIE Transactions on Smart Processing and Computing
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• 제6권3호
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• pp.183-192
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• 2017

k-nearest neighbor (K-NN) is a well-known classification algorithm, being feature space-based on nearest-neighbor training examples in machine learning. However, K-NN, as we know, is a lazy learning method. Therefore, if a K-NN-based system very much depends on a huge amount of history data to achieve an accurate prediction result for a particular task, it gradually faces a processing-time performance-degradation problem. We have noticed that many researchers usually contemplate only classification accuracy. But estimation speed also plays an essential role in real-time prediction systems. To compensate for this weakness, this paper proposes correlation coefficient-based clustering (CCC) aimed at upgrading the performance of K-NN by leveraging processing-time speed and plurality rule-based density (PRD) to improve estimation accuracy. For experiments, we used real datasets (on breast cancer, breast tissue, heart, and the iris) from the University of California, Irvine (UCI) machine learning repository. Moreover, real traffic data collected from Ojana Junction, Route 58, Okinawa, Japan, was also utilized to lay bare the efficiency of this method. By using these datasets, we proved better processing-time performance with the new approach by comparing it with classical K-NN. Besides, via experiments on real-world datasets, we compared the prediction accuracy of our approach with density peaks clustering based on K-NN and principal component analysis (DPC-KNN-PCA).

• Current Optics and Photonics
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• 제3권1호
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• pp.54-65
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• 2019

To develop a biomarker predicting tumor treatment efficacy is helpful to reduce time, medical expenditure, and efforts in oncology therapy. In clinics, microvessel density using immunohistochemistry has been proposed as an indicator that correlates with both tumor size and metastasis of cancer. In the preclinical study, we hypothesized that vascular morphometrics using optical coherence tomography angiography (OCTA) could be potential indicators to estimate the treatment efficacy of breast cancer. To verify this hypothesis, a 13762-MAT-B-III rat breast tumor was grown in a dorsal skinfold window chamber which was applied to a nude mouse, and the change in vascular morphology was longitudinally monitored during tumor growth and metronomic cyclophosphamide treatment. Based on the daily OCTA maximum intensity projection map, multiple vessel parameters (vessel skeleton density, vessel diameter index, fractal dimension, and lacunarity) were compared with the tumor size in no tumor, treated tumor, and untreated tumor cases. Although each case has only one animal, we found that the vessel skeleton density (VSD), vessel diameter index and fractal dimension (FD) tended to be positively correlated with tumor size while lacunarity showed a partially negative correlation. Moreover, we observed that the changes in the VSD and FD are prior to the morphological change of the tumor. This feasibility study would be helpful in evaluating the tumor vascular response to treatment in preclinical settings.

• Asian Pacific Journal of Cancer Prevention
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• 제15권3호
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• pp.1187-1192
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• 2014

Background: To correlate breast cancer subtypes with prognostic factors, microvessel density (MVD), vascular endothelial growth factor (VEGF) expression and clinical features. Materials and Methods: One hundred cases of primary breast carcinoma were classified using biomarkers on tissue microarray as: luminal A [estrogen receptor (ER)+, HER2-, $Ki-67{\leq}14%$], luminal B [ER+, HER2+ or ER+, HER2-, Ki-67>14%], HER2, triple negative basal-like (TNB) [any basal cytokeratins (CKs, 5, 14, 17) and/or endothelial growth factor receptor (EGFR) expression], and TN without such markers [TNN, null], and assessed for p53, vimentin, VEGF and CD31 immunoperoxidase. Results: Of the 100 cases (mean age, 51 years; mean tumor size, 3.2cm; 56% with nodal metastasis; 89 invasive ductal carcinomas, not otherwise specified, 4 invasive lobular carcinomas, 3 metaplastic carcinomas, and 4 other types) there were 39 luminal A, 18 luminal B, 18 HER2, 15 TNB and 10 TNN. The positivities of basal-like markers in the basal-like subtype were 78.3% for CK5, 40% for CK14, 20% for CK17, 46.7% for EGFR. There was no significant difference in age distribution, tumor size, degree of tubular formation, pleomorphism, lymphovascular invasion, nodal metastasis, MVD, VEGF expression and survival among subgroups. TNs demonstrated significantly higher tumor grade, mitotic count, Ki-67 index, p53 and vimentin and decreased overall survival compared with nonTN. Conclusions: The distribution of breast cancer subtypes in this study was similar to other Asian countries with a high prevalence of TN. The high grade character of TN was confirmed and CK5 expression was found to be common in our basal-like subtype. No significant elevation of MVD or VEGF expression was apparent.

• Asian Pacific Journal of Cancer Prevention
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• 제15권9호
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• pp.4049-4054
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• 2014

Background: Race and ethnicity are significant factors in predicting survival time of breast cancer patients. In this study, we applied advanced statistical methods to predict the survival of White non-Hispanic female breast cancer patients, who were diagnosed between the years 1973 and 2009 in the United States (U.S.). Materials and Methods: Demographic data from the Surveillance Epidemiology and End Results (SEER) database were used for the purpose of this study. Nine states were randomly selected from 12 U.S. cancer registries. A stratified random sampling method was used to select 2,000 female breast cancer patients from these nine states. We compared four types of advanced statistical probability models to identify the best-fit model for the White non-Hispanic female breast cancer survival data. Three model building criterion were used to measure and compare goodness of fit of the models. These include Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC). In addition, we used a novel Bayesian method and the Markov Chain Monte Carlo technique to determine the posterior density function of the parameters. After evaluating the model parameters, we selected the model having the lowest DIC value. Using this Bayesian method, we derived the predictive survival density for future survival time and its related inferences. Results: The analytical sample of White non-Hispanic women included 2,000 breast cancer cases from the SEER database (1973-2009). The majority of cases were married (55.2%), the mean age of diagnosis was 63.61 years (SD = 14.24) and the mean survival time was 84 months (SD = 35.01). After comparing the four statistical models, results suggested that the exponentiated Weibull model (DIC= 19818.220) was a better fit for White non-Hispanic females' breast cancer survival data. This model predicted the survival times (in months) for White non-Hispanic women after implementation of precise estimates of the model parameters. Conclusions: By using modern model building criteria, we determined that the data best fit the exponentiated Weibull model. We incorporated precise estimates of the parameter into the predictive model and evaluated the survival inference for the White non-Hispanic female population. This method of analysis will assist researchers in making scientific and clinical conclusions when assessing survival time of breast cancer patients.

• 대한영상의학회지
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• 제82권1호
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• pp.12-28
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• 2021

유방촬영술은 유방암 검진 및 진단을 위한 기본적인 영상 검사이지만, 판독이 어려우며 높은 숙련도를 필요로 한다고 잘 알려져 있다. 이러한 어려움을 극복하기 위해 최근 몇 년 사이에 인공지능을 이용한 유방암 검출 알고리즘들이 활발히 연구되고 있다. 본 종설에서 저자는 고전적인 computer-aided detection 소프트웨어 대비 최근 많이 사용되는 딥러닝의 특징을 알아보고, 딥러닝 알고리즘의 개발 방법과 임상적 검증 방법에 대해서 기술하였다. 또한 딥러닝 기반의 검진 유방촬영술의 판독 방법 분류, 유방 치밀도 평가, 그리고 유방암 위험도 예측 모델 등을 위한 딥러닝 연구들도 소개하였다. 마지막으로 유방촬영술 관련 인공지능 기술들에 대한 영상의학과 전문의의 관심과 의견의 필요성을 기술하였다.

• 근관절건강학회지
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• 제7권1호
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• pp.89-101
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• 2000

This study was carried out to compare the bone mineral density and risk factors of osteoporosis between normal and rheumatoid arthritis in postmenopausal women. Sixty-eight postmenopausal patients with rheumatoid arthritis(RA) were compared with 124 postmenopausal normal women. Data were collected from october, 1998 to April, 1999 at Dong-a university hospital in Pusan. From all subjects, individual characteristics such as age, body weight, height, age of menarche, duration of menopause, gravity, parity, and breast feeding period and factors of life style such as milk consumption, exercise, alcohol intake, cigarette smoking, coffee consumption were identified as influencing factors of osteoporosis by questionnaire. From RA patients, health assessment score, Ritchie articular index, erythrocyte sedimentation rate, C-reactive protein and steroid dosage were measured by rheumatologist on measuring bone mineral density. Bone mineral density was measured at the Lumbar spine, femoral neck, femur Ward's triangle, and femur trochanter using dual x-ray absorptiometry. The data was analyzed by using a frequency, t-test, Chi-square, ANCOVA with SPSS PC program. The results could be summarized as follows : 1) There was a significant difference in age and breast feeding period between RA patients and normal women. 2) RA patients took less calcium in the past and practiced less regular exercise in past and present than normal women. 3) There was no difference in lumbar bone mineral density between RA patients and normal women. 4) There was a significant difference in femur Ward's triangle and femur trochanter between RA patients and normal women after adjustment for age and breast feeding period. 5) The prevalence of osteoporosis of all subjects was the highest in femur Ward's triangle. In summary, our findings suggest that the bone mineral densities of femur Ward's triangle and trochanter in postmenopausal women with RA is significantly lower than normal women. Also the exercise participation rate of postmenopausal women with RA is lower than normal women. For the further study, we recommend to develop exercise program that improve the bone mineral density in femur Ward's triangle and trochanter and to test the effect of that exercise program.

• Animal Bioscience
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• 제34권11호
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• pp.1829-1838
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• 2021

Objective: The effects of maternal dietary energy levels on breast muscle fibre development in offspring of broiler breeders were investigated. Methods: A total of 480 20-week-old Arbor Acres (AA) healthy female broiler breeders, with an average body weight of 2.33±0.01 kg, were randomly divided into 4 treatment groups with 6 replicates and 20 broiler breeders for each replicate and fed a corn and soybean meal diet with 100%, 80%, 70%, and 50% energy levels, respectively. Approximately 300 eggs per treatment were collected for incubation for 6 days. Then, 120 0-day-old female broilers at each energy level were randomly selected and divided into 6 replicates with 20 broilers for each replicate, with this experimental phase with the offspring lasting for 49 days. Results: Compared with the 100% energy group, the breast muscle fibre diameter at embryonic day 21 in the 80% energy group was significantly reduced (p<0.05). In the 80% energy group, the muscle fibre density of the breast increased significantly (p<0.05) at embryonic days 15 and 21. The breast muscle fibre diameter of the offspring in each group was significantly decreased (p<0.05) on the 1st day. The breast muscle sarcomere length of the embryos in the 80% energy group was significantly higher (p<0.05) than those in the 70% and 50% energy groups. Compared with the 100% energy group, the expression of the myostatin gene in the offspring was significantly decreased (p<0.05). Conclusion: In conclusion, the effects of a maternal dietary energy level of 80% in this study were found to be optimal for breast muscle fibre development in offspring, which indicated that the metabolic energy level of AA broilers of 9.36 MJ/kg for the mid-term diet for laying eggs has a more practical significance.

• Asian Pacific Journal of Cancer Prevention
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• 제14권12호
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• pp.7651-7656
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• 2013

Background: Breast cancer is the most common malignancy among women in both developed and developing countries. The burden is increasing in low-income and middle-income countries (LMCs) and threatens the public health of such societies. Introduction of expensive monoclonal antibodies to cancer treatment regimens poses a real challenge in the health systems of LMCs. Despite controversy of cost-effectiveness of bevacizumab in breast cancer, some studies indicate gain of patients from this drug. The present study aimed to propose a priority setting model for administration of anti-angiogenic agents in breast cancer via assessment of tumor angiogenesis by the microvessel density (MVD) method and associations with clinicopathological characteristics (including simultaneous mutations of TP53 and HER-2 genes). Materials and Methods: Age, axillary lymph nodes status, tumor size, stage and grade, estrogen and progesterone receptors status, HER-2/neu status (by immunohistochemistry and FISH test), TP53 mutation, Ki-67 (for proliferation assay) and CD34 (for angiogenesis assay) were assessed in 111 breast cancer patients. The molecular subtype of each tumor was also determined and correlations of simultaneous mutations of HER-2 and p53 genes with angiogenesis and other clinicopathological characteristics were evaluated. Results: There were significant associations between simultaneous mutations of HER-2 and p53 genes and all other parameters except tumor size. The degree of angiogenesis in the ERBB2 subtype was greater than the others. Younger patients showed a higher angiogenesis rate rather those older than 50 years. Conclusions: Our results demonstrated that patients with simultaneous mutations of HER-2 and p53 genes, those with ERBB2 molecular subtype and also younger women (often triple negative) seem more eligible for obtaining anti-angiogenic agents. These results suggest a model for priority setting of patients with breast cancer for treatment with anti-angiogenic drugs in LMCs.

• 한국방사선학회논문지
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• 제17권5호
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• pp.751-759
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• 2023

유방 초음파 검사는 지방형 유방에서 영상화가 어렵고 미세 석회화를 찾는 데 어려움이 있지만, 미세 석회화의 발견은 유방암 선별 검사에 매우 중요하다. 초음파의 컬러 도플러 허상 중 반짝 허상은 영상에서 주로 결석이나 석회화 같은 강한 반사체에 발생되며 이를 이용한 평가 방법이 임상적으로 사용 중이다. 본 연구는 유방 석회화 중 가장 많이 차지하는 인산칼슘을 이용한 유방 모의 팬텀을 제작하여 초음파 장비의 컬러 도플러 설정 변수인 펄스 반복 주파수, 앙상블, 퍼시스트, 월 필터, 평활화, 선밀도, 임계값에 대해 실험을 진행했고 이를 통해 유방 초음파 검사에서 반짝 허상의 대조도를 개선하는 조건과 임상에서 이를 최대한 활용하기 위한 방안을 연구하고자 하였다. 그 결과 펄스 반복 주파수가 3.6 kHz ~ 7.2 kHz 범위에서 반짝 허상이 발생하며 10.5 kHz 이상에서는 발생하지 않았다. 앙상블의 경우 낮은 조건에서는 모든 크기의 석회화에 반짝 허상이 발생하였고 임계값 설정에서는 80에서 100 조건에서만 반짝 허상이 조금 증가했으며 1 mm 크기의 석회화에서는 발생하지 않았다. 퍼시스트, 월 필터, 평활화, 선밀도 설정은 반짝 허상이 발생하긴 했으나 조건별로 증가하지는 않아 설정 변수에 큰 의미가 없었으며 반짝 허상에 가장 큰 영향을 미친 것은 펄스 반복 주파수, 앙상블, 임계값으로 나타났다. 본 연구는 검사자가 컬러 도플러 설정을 조절하여 반짝 허상을 효과적으로 증가시키는 최적의 조건을 선택하는 데 도움이 될 것으로 사료된다.