• 제목/요약/키워드: Breast Model

검색결과 493건 처리시간 0.023초

초기 유방암 환자의 심리사회적 적응 구조모형 (A Structural Model for Psychosocial Adjustment in Patients with Early Breast Cancer)

  • 김혜영;소향숙
    • 대한간호학회지
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    • 제42권1호
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    • pp.105-115
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    • 2012
  • Purpose: This study was done to propose a structural model to explain and predict psychosocial adjustment in patients with early breast cancer and to test the model. The model was based on the Stress-Coping Model of Lazarus and Folkman (1984). Methods: Data were collected from February 18 to March 18, 2009. For data analysis, 198 data sets were analyzed using SPSS/WIN12 and AMOS 7.0 version. Results: Social support, uncertainty, symptom experience, and coping had statistically significant direct, indirect and total effects on psychosocial adjustment, and optimism had significant indirect and total effects on psychosocial adjustment. These variables explained 57% of total variance of the psychosocial adjustment in patients with early breast cancer. Conclusion: The results of the study indicate a need to enhance psychosocial adjustment of patients with early breast cancer by providing detailed structured information and various symptom alleviation programs to reduce perceived stresses such as uncertainty and symptom experience. They also suggest the need to establish support systems through participation of medical personnel and families in such programs, and to apply interventions strengthening coping methods to give the patients positive and optimistic beliefs.

Diagnostic Classification Scheme in Iranian Breast Cancer Patients using a Decision Tree

  • Malehi, Amal Saki
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권14호
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    • pp.5593-5596
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    • 2014
  • Background: The objective of this study was to determine a diagnostic classification scheme using a decision tree based model. Materials and Methods: The study was conducted as a retrospective case-control study in Imam Khomeini hospital in Tehran during 2001 to 2009. Data, including demographic and clinical-pathological characteristics, were uniformly collected from 624 females, 312 of them were referred with positive diagnosis of breast cancer (cases) and 312 healthy women (controls). The decision tree was implemented to develop a diagnostic classification scheme using CART 6.0 Software. The AUC (area under curve), was measured as the overall performance of diagnostic classification of the decision tree. Results: Five variables as main risk factors of breast cancer and six subgroups as high risk were identified. The results indicated that increasing age, low age at menarche, single and divorced statues, irregular menarche pattern and family history of breast cancer are the important diagnostic factors in Iranian breast cancer patients. The sensitivity and specificity of the analysis were 66% and 86.9% respectively. The high AUC (0.82) also showed an excellent classification and diagnostic performance of the model. Conclusions: Decision tree based model appears to be suitable for identifying risk factors and high or low risk subgroups. It can also assists clinicians in making a decision, since it can identify underlying prognostic relationships and understanding the model is very explicit.

MRI와 3D 스캔 데이터를 이용한 3D 프린팅 유방 인공보형물의 제작 알고리즘 (Algorithm for Fabricating 3D Breast Implants by Using MRI and 3D Scan Data)

  • 정영진;최동헌;김구진
    • 한국멀티미디어학회논문지
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    • 제22권12호
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    • pp.1385-1395
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    • 2019
  • In this paper, we propose a method to fabricate a patient-specific breast implant using MRI images and 3D scan data. Existing breast implants for breast reconstruction surgery are primarily fabricated products for shaping, and among the limited types of implants, products similar to the patient's breast have been used. In fact, the larger the difference between the shape of the breast and the implant, the more frequent the postoperative side effects and the lower the satisfaction. Previous researches on the fabrication of patient-specific breast implants have used limited information based on only MRI images or on only 3D scan data. In this paper, we propose an algorithm for the fabrication of patient-specific breast implants that combines MRI images with 3D scan data, considering anatomical suitability for external shape, volume, and pectoral muscle. Experimental results show that we can produce precise breast implants using the proposed algorithm.

Estimated Risk of Radiation Induced Contra Lateral Breast Cancer Following Chest Wall Irradiation by Conformal Wedge Field and Forward Intensity Modulated Radiotherapy Technique for Post-Mastectomy Breast Cancer Patients

  • Athiyaman, Hemalatha;M, Athiyaman;Chougule, Arun;Kumar, HS
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권12호
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    • pp.5107-5111
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    • 2016
  • Background: Epidemiological studies have indicated an increasing incidence of radiation induced secondary cancer (SC) in breast cancer patients after radiotherapy (RT), most commonly in the contra-lateral breast (CLB). The present study was conducted to estimate the SC risk in the CLB following 3D conformal radiotherapy techniques (3DCRT) including wedge field and forward intensity modulated radiotherapy (fIMRT) based on the organ equivalent dose (OED). Material and Methods: RT plans treating the chest wall with conformal wedge field and fIMRT plans were created for 30 breast cancer patients. The risks of radiation induced cancer were estimated for the CLB using dose-response models: a linear model, a linear-plateau model and a bell-shaped model with full dose response accounting for fractionated RT on the basis of OED. Results: The plans were found to be ranked quite differently according to the choice of model; calculations based on a linear dose response model fIMRT predict statistically significant lower risk compared to the enhanced dynamic wedge (EDW) technique (p-0.0089) and a non-significant difference between fIMRT and physical wedge (PW) techniques (p-0.054). The widely used plateau dose response model based estimation showed significantly lower SC risk associated with fIMRT technique compared to both wedge field techniques (fIMRT vs EDW p-0.013, fIMRT vs PW p-0.04). The full dose response model showed a non-significant difference between all three techniques in the view of second CLB cancer. Finally the bell shaped model predicted interestingly that PW is associated with significantly higher risk compared to both fIMRT and EDW techniques (fIMRT vs PW p-0.0003, EDW vs PW p-0.0032). Conclusion: In conclusion, the SC risk estimations of the CLB revealed that there is a clear relation between risk associated with wedge field and fIMRT technique depending on the choice of model selected for risk comparison.

Breast Cancer Knowledge, Perception and Breast Self-Examination Practices among Yemeni Women: an Application of the Health Belief Model

  • Al-Sakkaf, Khaled Abdulla;Basaleem, Huda Omer
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권3호
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    • pp.1463-1467
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    • 2016
  • Background: The incidence of breast cancer is rapidly increasing in Yemen with recent indications of constituting one-third of female cancers. The main problem in Yemen remains very late presentation of breast cancer, most of which should have been easily recognisable. Since stage of disease at diagnosis is the most important prognostic variable, early diagnosis is an important option to be considered for control of breast cancer in low resourced settings like Yemen. In the present study, we aimed at describing breast cancer knowledge, perceptions and breast self-examination (BSE) practices among a sample of Yemeni women. Materials and Methods: This cross-sectional study covered 400 women attending four reproductive health centres in Aden, Yemen through face-to-face interview using a structured questionnaire during April - July 2014. We collected data on sociodemographic characteristics, knowledge about breast cancer, and screening practices as well as respondents' perceptions based on the five sub scales of the Health Belief Model (HBM): perceived susceptibility; perceived severity; perceived barriers; perceived benefits; and self-efficacy. The response format was a five-point Likert scale. Statistical Package for Social Sciences (SPSS 20) was used for statistical analysis. Statistical significance was set at p<0.05. Logistic regression analysis was conducted with BSE as a dependent variable. Results: The mean age of women was 26.5 (S.D=5.6) years. The majority (89.0%) had never ever performed any screening. Two-thirds of respondents had poor knowledge. Perceived BSE benefits and self-efficacy and lower BSE barriers perception were significant independent predictors of BSE practice. Conclusions: Poor knowledge and inadequate BSE practices are prevailing in Yemen. The need for implementing culturally sensitive targeted education measures is mandatory in the effort to improve early detection and reduce the burden of breast cancer.

The Methylenetetrahydrofolate Reductase C677T Polymorphism and Breast Cancer Risk in Asian Populations

  • Rai, Vandana
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권14호
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    • pp.5853-5860
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    • 2014
  • Background: Methylenetetrahydrofolate (MTHFR) is the key enzyme of the folate metabolic pathway and several studies have pointed to association between the MTHFR C677T polymorphism and breast cancer risk. Although significant association was observed in some studies, in others no clear link could be established. Objective: A meta-analysis of published Asian case control studies was therefor carried out to shed further light on any C677T breast cancer association. Materials and Methods: PubMed, Springer Link, Google Scholar and Elsevier databases were searched for case control studies of associations between MTHFR C677T polymorphism and breast cancer risk. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated to assess the association. A total of 36 studies including 8,040 cases and 10,008 controls were included in the present meta-analysis. Results: Overall, a significantly elevated breast cancer risk was associated with the T allele and TT genotype in homozygote comparison and dominant genetic models when all studies were pooled into the meta-analysis (T vs C (allele contrast model): OR=1,23, 95%CI=1.13-1.37, p=0.000 ; TT vs CC(homozygote model): OR=1.38, 95%CI=1.16-1.63, p=0.0003; TT+CT vs CC (dominant model): OR=1.12, 95%CI=1.01-1.23, p=0.02). Conclusions: The present meta-analysis strongly suggested a significant association between the MTHFR C677T polymorphism and risk of breast cancer in Asian populations.

전기임피던스 단층촬영법을 위한 단순화된 매모그래피 구조의 모델 (A Model of a Simplified Mammography Geometry for Breast Cancer Imaging with EIT)

  • 최명환
    • 산업기술연구
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    • 제26권B호
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    • pp.221-226
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    • 2006
  • Electrical impedance tomography (EIT) is a technique for determining the electrical conductivity and permittivity distribution within the interior of a body from measurements made on its surface. One recent application area of the EIT is the detection of breast cancer by imaging the conductivity and permittivity distribution inside the breast. The present "gold standard" for breast cancer detection is X-ray mammography, and it is desirable that EIT and X-ray mammography use the same geometry. This paper presents a forward model of a simplified mammography geometry for EIT imaging. The mammography geometry is modeled as a rectangular box with electrode arrays on the top and bottom planes. A forward model for the electrical impedance imaging problem is derived for a homogeneous conductivity distribution and Validated by experiment using a phantom tank.

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The Extension of the RISP Model with Behavioral Intention regarding Breast Cancer Screening

  • Yunhee Ku;Jisoo Ahn;Ghee-Young Noh
    • Asian Journal for Public Opinion Research
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    • 제12권1호
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    • pp.28-52
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    • 2024
  • This study aims to analyze multiple predictors of information seeking behavior, including information seeking intention about breast cancer, using the risk information seeking and processing (RISP) model. Data from 680 female respondents shows that when individuals perceived the risk of breast cancer, they felt more negative emotions, such as anxiety and nervousness, which increased the need for more information about the risk and tendency to seek information. In addition, information subjective norms were positively related with information seeking intention. When individuals felt they lacked relevant information, their seeking intention increased. Lastly, seeking intention led to breast cancer screening intention.

결절교체 유방모형을 이용한 인지.행동 통합 유방암 예방교육 효과 -간호학생을 대상으로- (Effects on Nursing Students of Cognition-Behavior Integrated Breast Cancer Prevention Education Using an Interchangeable Nodule Model)

  • 박소미;김보환;박미정;안양희;정재원
    • 여성건강간호학회지
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    • 제16권2호
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    • pp.166-176
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    • 2010
  • Purpose: The study was done to examine the effects of cognition-behavior integrated breast cancer prevention education, in which a breast model with interchangeable nodules was utilized, on the self-competency of nursing students in performing breast cancer education. Methods: A nonequivalent control group non-synchronized design was used. A traditional lecture intervention was provided for 49 3rd year college of nursing students (control group) while the integrated breast cancer prevention education was given to 47 3rd year students in the same college one year later (experimental group). The integrated breast cancer prevention education was developed by the research team to strengthen the competency of cognitive and behavioral components in education on breast cancer. Results: Effects of the intervention were found to be significant through all study variables: knowledge about breast cancer (t=7.79, p <.001), breast cancer risk awareness (t=2.05, p <.05), self-competency of breast self-exam (t=8.27, p <.001), and intention to teach breast self-exam (t=3.87, p <.001). Conclusion: The integrated breast cancer prevention education was useful to improve not only knowledge about breast cancer but competency in performing breast examination for nursing students who acquired technical skills from various simulation nodules. As the program helped the students to be prepared as confident educators, future application of the module is recommended for academic curricula.

Tubeimoside-1 suppresses breast cancer metastasis through downregulation of CXCR4 chemokine receptor expression

  • Peng, Yaojin;Zhong, Yan;Li, Gao
    • BMB Reports
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    • 제49권9호
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    • pp.502-507
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    • 2016
  • To examine the effect of TBMS1on breast cancer metastasis, and investigate the potential mechanism by which Tubeimoside-1 (TBMS1) inhibits the CXCR4 expression in breast cancer cells. The expression of CXCR4 in breast cancer cell lines was determined by immunoblotting and real-time PCR. The effect of TBMS1 on NF-κB binding activity was evaluated by EMSA assay and ChIP analysis. Cell proliferation and invasion were analyzed by MTT assay and transwell invasion assay, respectively. The effect of TBMS1 on breast cancer metastasis was further evaluated in a metastasis model of nude mice. TBMS1 suppressed the expression of CXCR4 through inhibition of NF-κB binding activity. TBMS1 inhibited CXCL12-induced invasion in breast cancer cells, while ectopic expression of CXCR4 abolished the inhibitive activity of TBMS1. TBMS1 suppressed breast cancer metastasis in the metastatic model of nude mice. TBMS1 suppressed the CXCR4-mediated metastasis of breast cancer by inhibiting NF-κB binding activity.