• Asian Pacific Journal of Cancer Prevention
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• v.15 no.23
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• pp.10505-10508
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• 2015

Background: Breast cancer is an important cause of death among women. One way of classifying different forms of breast cancer is by molecular features, usually in terms of the four subtypes: luminal A, luminal B, HER2-enriched, and triple negative. Objectives: This study aimed to investigate the association between molecular subtypes and survival among breast cancer patients treated with radiotherapy. Materials and Methods: A retrospective cohort study was conducted. The subjects were 272 breast cancer patients who had received treatment in the radiotherapy unit at Srinagarind Hospital, Thailand, between 1 January, 1999, and 31 May, 2009. The end of the study was 1 June, 2014. Overall survival was defined as the time elapsing between initial registration at the radiotherapy unit and death or the end of the study. Survival curves were estimated by the Kaplan-Meier method, and a multivariate analysis was performed using Cox's proportional hazard regression model. Results: The patient mean age was $47.5{\pm}10.4$ at the time of diagnosis. Of the 272 patients, 146 (53.7%) were classified as luminal A, 12 (4.4%) as luminal B, 30 (11.0%) as HER2-enriched, and 84 (30.9%) as triple negative. The overall survival rates at 1, 3 and 5 years were 87.1%, 68.4% and 59.2%, respectively. According to molecular subtypes, HER2-enriched patients had the lowest 5-year survival rate (30.0 %, 95%CI: 15.02-46.55). The median follow-up time was 8.37 years. In the Cox model analysis a higher risk of death was found for patients with HER2-enriched ($HR_{adj}=3.34$, 95%CI:1.96-5.67), triple negative ($HR_{adj}=2.17$, 95%CI: 1.44-3.27), and stage IIlB ($HR_{adj}=2.20$, 95%CI: 1.16-4.17) cancers. Conclusions: The worst survival rates were among patients classified as HER2-enriched, triple negative and at stage IIIB. Early detection and an advanced treatment modality are needed to help these patients.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.258-269
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• 2017

This study was conducted to examine the predictive factors for health promotion behaviors of breast cancer patients, focusing on Pender's health promotion model (1996). Data were collected from 121 patients using a structured questionnaire from September 18 to October 26 in 2015. The data were analyzed with a t-test, ANOVA, Pearson's correlation coefficients, and hierarchical multiple regression analysis using SPSS 20.0 for Windows. The predictive factors for the health promotion behavior of the participants were social support, commitment to a plan of action, prior behavior, activity related effects, perceived self-efficacy, family function, perceived benefits of action, and situational influences. The total explanatory power of these factors was 57.8%. Development and application of a nursing intervention plan that enhances patient compliance with health promotion behavior is needed to enable breast cancer patients undergoing rehabilitation to maintain their optimal health and live a high-quality life. Patients who showed a low degree of predictive factors identified in this study are in particular need of attention.

• Journal of muscle and joint health
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• v.19 no.3
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• pp.319-328
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• 2012

Purpose: The purpose of this study was to explore effects of a Cancer-overcome BeHaS exercise program that consists of exercise, education, and cognitive supports to improve shoulder external rotation, cancer coping, group cohesion in mastectomy patients. Methods: A one group pre-post test design was used. Thirty mastectomy patients from C Hospital participated in the supervised exercise program once a week for 8 weeks. Data were collected from May to July 2011 using self-administered questionnaires and physical measurement. SPSS/WIN 19.0 was used for the data analysis. Results: The mean age of participants was 53.7 and the mean postoperative period after the surgery was 12.93 months. There were significant differences in the shoulder external rotation, cancer coping, group cohesion between pre and post program. Conclusion: The results showed that cancer-overcome BeHaS exercise program was an effective nursing intervention for improving breast cancer patient's shoulder external rotation, cancer coping and group cohesion.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.19
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• pp.8371-8376
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• 2014

Background: The use of statistical methods has become an imperative tool in breast cancer survival data analysis. The purpose of this study was to develop the best statistical probability model using the Bayesian method to predict future survival times for the black non-Hispanic female breast cancer patients diagnosed during 1973-2009 in the U.S. Materials and Methods: We used a stratified random sample of black non-Hispanic female breast cancer patient data from the Surveillance Epidemiology and End Results (SEER) database. Survival analysis was performed using Kaplan-Meier and Cox proportional regression methods. Four advanced types of statistical models, Exponentiated Exponential (EE), Beta Generalized Exponential (BGE), Exponentiated Weibull (EW), and Beta Inverse Weibull (BIW) were utilized for data analysis. The statistical model building criteria, Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) were used to measure the goodness of fit tests. Furthermore, we used the Bayesian approach to obtain the predictive survival inferences from the best-fit data based on the exponentiated Weibull model. Results: We identified the highest number of black non-Hispanic female breast cancer patients in Michigan and the lowest in Hawaii. The mean (SD), of age at diagnosis (years) was 58.3 (14.43). The mean (SD), of survival time (months) for black non-Hispanic females was 66.8 (30.20). Non-Hispanic blacks had a significantly increased risk of death compared to Black Hispanics (Hazard ratio: 1.96, 95%CI: 1.51-2.54). Compared to other statistical probability models, we found that the exponentiated Weibull model better fits for the survival times. By making use of the Bayesian method predictive inferences for future survival times were obtained. Conclusions: These findings will be of great significance in determining appropriate treatment plans and health-care cost allocation. Furthermore, the same approach should contribute to build future predictive models for any health related diseases.

• Progress in Medical Physics
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• v.34 no.1
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• pp.10-13
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• 2023

Patients with breast cancer can be positioned with their head turned to the contra lateral side or with their head straight during the radiation therapy treatment set-up. In our hospital, patients with locally advanced breast cancer who were receiving radiation therapy have experienced swallowing difficulty after 2 weeks of irradiation. In this pilot study, the impact of head position on reducing dysphagia occurrence was dosimetrically evaluated. Patients were divided into two groups viz., HT (head turned to the contra lateral side of the breast) and HS (head straight) with 10 members in each. Treatment planning was performed, and the dosimetric parameters such as Dmin, Dmax, Dmean, V₅, V₁₀, V₂₀, V₃₀, V₄₀, and V₅₀ of both groups were extracted from the dose volume histogram (DVH) of esophagus. The target coverage in the supraclavicular fossa (SCF) region was analyzed using D₉₅ and D₉₈; moreover, the dose heterogeneity was assessed with D₂ from the DVHs. The average values of the dose volume parameters were 27.6%, 58.6%, 35.4%, 19%, 13.8%, 14.1%, 11.8%, 8.4%, and 8.1% higher in the HT group compared with those in the HS group. Furthermore, for the SCF, the mean values of D₉₈, D₉₅, and D₂ were 42.4, 47.5, and 54 Gy, respectively, in the HS group and 38.9, 45.35, and 55.5 Gy, respectively, in the HT group. This pilot study attempts to give a solution for the poor quality of life of patients after breast radiotherapy due to dysphagia. The findings confirm that the head position could play a significant role in alleviating esophageal toxicity without compromising tumor control.

• Investigative Magnetic Resonance Imaging
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• v.23 no.2
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• pp.125-135
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• 2019

Purpose: The purpose of this study was to evaluate dynamic contrast-enhanced breast magnetic resonance imaging (DCE-MRI), and diffusion-weighted imaging (DWI) variables, for axillary lymph node (ALN) metastasis in the early stage of breast cancer. Materials and Methods: January 2011-April 2015, 787 patients with early stage of breast cancer were retrospectively reviewed. Only cases of invasive ductal carcinoma, were included in the patient population. Among them, 240 patients who underwent 3.0-T DCE-MRI, including DWI with b value 0 and $800s/mm^2$ were enrolled. MRI variables (adjacent vessel sign, whole-breast vascularity, initial enhancement pattern, quantitative kinetic parameters, signal enhancement ratio (SER), tumor apparent diffusion coefficient (ADC), peritumoral ADC, and peritumor-tumor ADC ratio) clinico-pathologic variables (age, T stage, multifocality, extensive intraductal carcinoma component (EIC), estrogen receptor, progesterone receptor, HER-2 status, Ki-67, molecular subtype, histologic grade, and nuclear grade) were compared between patients with axillary lymph node metastasis and those with no lymph node metastasis. Multivariate regression analysis was performed, to determine independent variables associated with ALN metastasis, and the area under the receiver operating characteristic curve (AUC), for predicting ALN metastasis was analyzed, for those variables. Results: On breast MRI, moderate or prominent ipsilateral whole-breast vascularity (moderate, odds ratio [OR] 3.45, 95% confidence interval [CI] 1.28-9.51 vs. prominent, OR = 15.59, 95% CI 2.52-96.46), SER (OR = 1.68, 95% CI 1.09-2.59), and peritumor-tumor ADC ratio (OR = 6.77, 95% CI 2.41-18.99), were independently associated with ALN metastasis. Among clinico-pathologic variables, HER-2 positivity was independently associated, with ALN metastasis (OR = 23.71, 95% CI 10.50-53.54). The AUC for combining selected MRI variables and clinico-pathologic variables, was higher than that of clinico-pathologic variables (P < 0.05). Conclusion: SER, moderate or prominent increased whole breast vascularity, and peritumor-tumor ADC ratio on breast MRI, are valuable in predicting ALN metastasis, in patients with early stage of breast cancer.

• Women's Health Nursing
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• v.18 no.1
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• pp.1-16
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• 2012

Purpose: The purpose of this study was to describe the experiences of the process of the change in cognitive function for women treated with chemotherapy for breast cancer. Methods: There were ten participants in total in this study. Data were gathered utilizing in-depth interviews over 3 times from September 2010 to January 2011. Data were analyzed by employing Strauss and Corbin's (1998) grounded theory methodology. Results: Findings indicate that causal conditions of these results were 'side effects of chemotherapy' and 'menopausal state', including contextual conditions as, 'mental fatigue' and 'anxiety about recurrence'. The core category was identified as 'confronting with unexpected chaos'. Intervening conditions were 'support from other people', 'lack of information on cognitive impairment'. Interaction strategies were 'changing the habit of life', 'making efforts for living life' and 'seeking for medical information'. Consequences of the process were 'physical restriction', 'difficulty in social life', 'disturbed working ability' and 'psychological distress'. Conclusion: The results of this study show that nurses should recognize there is a notable difference between individual patient's contextual conditions and interactive strategies. Furthermore educational information and individualized intervention should be provided to improve cognitive function for women with breast cancer.

• 한국노년학
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• v.40 no.1
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• pp.111-130
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• 2020

This qualitative study aims to understand family members' caregiving experience for middle-aged and elderly breast cancer survivors at early stages. A total of four families of breast cancer survivors were given focus group interviews(FGI), and an additional family was interviewed individually. The thematic analyses of the FGI and individual in-depth interview discussions revealed the following four themes: first, day-to-day feelings like walking on thin ice (entangled emotions with each treatment stage, regret of watching a survivor's pain, fear of recurrence and death, concerns of changes in family relationships, and various feelings experienced as a daughter), second, caregiving has become a mainstay in my life (unfamiliar and unskilled care, losing my life), third, beginning to recover and different experiences between a survivor and a family caregiver (not understanding a survivor's pain from the abyss, forgetting that the survivor is still a cancer patient and that treating him or her casually), and fourth, moving forward (hope that things will be better, taking care of myself to prevent exhaustion). Based on the results of this study, we proposed social welfare services and policy measures to reflect the psychosocial needs of family caregivers of breast cancer survivors and support family caregivers during the care process.

• Archives of Plastic Surgery
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• v.42 no.5
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• pp.661-663
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• 2015

• Journal of radiological science and technology
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• v.40 no.1
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• pp.57-62
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• 2017

The purpose of this study is to reconstruct the treatment plan by applying CBCT and DIR to dose changes according to the change of the patient's motion and breast shape in the large breast cancer patients and to compare the doses using TWF, FIF and IMRT. CT and CBCT were performed with MIM6 to create DIRCT and each treatment plan was made. The patient underwent computed tomography simulation in both prone and supine position. The homogeneity index (HI), conformity index (CI), coverage index (CVI) to the left breast as planning target volume (PTV) were determined and the doses to the lung, heart, and right breast as organ at risk (OAR) were compared by using dose-volume histogram and the unique property of each organ. The value of HI of the PTV breast increased in all treatment planning methods using DIRCT, and CVI and CI were decreased in the treatment planning methods using DIRCT.