Showing 203 results for Breast Cancer
Massoumeh Sharifi, Peyman Mikaili, Rahim Baghaei, Maryam Hajilou, Yusef Mohammadpour,
Volume 6, Issue 4 (12-2013)
Abstract
Background: Today breast cancer is the most common malignancy among women and chemotherapy for breast cancer can have the main effect on patient’s quality of life. The goal of this study was the evaluation of the impact of chemotherapy on functional scales of quality of life of patient with breast cancer.
Methods: In this descriptive-analytic study, 53 women with breast cancer candidate of chemotherapy referred to Omid and Imam Khomeini department of Oncology were studied. The questionnaire measuring the quality of life was proved by the European Organization for Research and Treatment of cancer Quality of life Questionnaire (EROTC QLQ_C30) and its breast cancer supplementary (QLQ-BR 23) was used at two points in the time, namely: baseline (pre chemotherapy) and12 weeks after chemotherapy (within four cycle of chemotherapy).
Results: After four cycle of chemotherapy average of functional scales of quality of life was reduced significantly respect to before chemotherapy period (p=0.0001). The results of pair t Test revealed significant difference between global quality of life pre- and post in comparison to the all four chemotherapeutic cycles (p=0.0001).
Conclusion: Since the chemotherapy reduces functional scales of quality of life, thence it is recommended that authorities take note of this period of treatment to improve quality of life of patients. Oncology nurses can play important role to decrease side effects of chemotherapy agents and improve quality of life of this group of patients.
Leila Angooti Oshnari , Shahpar Haghighat, Ali Hosseini, Samaneh Hossein Zadeh ,
Volume 8, Issue 3 (12-2015)
Abstract
Introduction: upper extremity lymph edema is the most common side effect of breast cancer treatment. Lymph edema may be associated with pain, physical and emotional disorder, impairment of activities of daily living and lower quality of life. The aim of this study was assessment of the effect of Complex Decongestive Therapy on upper extremity lymph edema and quality of life in women with post mastectomy lymph edema.
Methods: In this research with before- after design, 36 women with moderate lymph edema after breast surgery participated in the program. Edema volume was measured by water displacement method and quality of life was evaluated by SF-36 questionnaire. Data were recorded before intervention and 2 and 4 weeks after it. Patients received CDT in two intensive and maintenance phases. Each phase lasts 2 weeks. After use of Shapiro Wilk test, another analysis of variances with repeated measurement and t-paired methods were used to analyze the data.
Results: After one month performing Complex Decongestive Therapy program, significant decrease of edema was noticed (p<0.0001), quality of life also improved during 2 and 4 weeks after intervention (p<0.0001).
Conclusion: This study showed that Complex Decongestive Therapy program is effective in reducing lymph edema volume and improving overall quality of life in women with moderate post breast surgery lymph edema. It seems that increasing patients' awareness and training health practitioners regarding lymph edema controlling methods have important role in earlier and better combating with this complication.
Abdolreza Kazemi, Behjat Kalantari Khandni , ,
Volume 8, Issue 3 (12-2015)
Abstract
Introduction: Obesity through production of estrogen and Adipokines is risk factor for breast cancer. The aim of present study was to investigate the effect of aerobic training on serum Adiponectin and estradiol levels in women with breast cancer.
Methods: The present study was quasi-experimental study. To do this, fifty patients with breast cancer at stage 2 from Kerman with mean of 51.16 year, weight 72.48 kg and height 157.74 cm that chemotherapy courses were completed, randomly divided into two groups: training (n = 30) and control (n = 20). Training group performed endurance training for 8 weeks with intensity between 40 to 55 percent of target heart rate. Before and after the exercise protocol, blood samples were taken from both groups and serum levels of Adiponectin and estradiol were measured by ELISA via a Boster kit.
Results: Present study results showed Significant decreased in serum levels of estradiol (F=14.71 P=0.001) and significant increase in serum levels of Adiponectin (F=8.85 P=0.005) in the experimental group after 8 weeks aerobic training compare to control group.
Conclusion: Decreased estradiol without medical intervention that is aim of hormone therapy in breast cancer patients can show a positive effect of physical activity. It seems that Adiponectin is involved in decrease of estradiol levels through inhibition of cholesterol synthesis. Considering the findings, regular aerobic training is recommended for patients with breast cancer.
Azam Abdollah-Pour , Nasim Khosravi, Shahpar Haghighat, Zohreh Eskandari,
Volume 8, Issue 3 (12-2015)
Abstract
Introduction: Obesity is a major risk factor in postmenopausal breast cancer risk. On the other hand, aerobic training without diet restriction can decrease the obesity indexes. We conducted a comprehensive search and found that there is not any log-term study in this area in Iran on postmenopausal women. So we aimed at investigating the effect of 6 months aerobic training on anthropometric measures in postmenopausal women.
Methods: This study was a randomized clinical trial. The study Participants were 50 to 74 year-old, sedentary and postmenopausal women that randomly allocated to exercise or control group. Participants in intervention group engaged in aerobic exercise for 3 days per week for 6months, at 70-80% of maximum heart rate. A sub maximal exercise test and anthropometric measures (including body fat percentage, height, weight, and BMI) were performed at baseline and after 6-months. To assess the mean differences we used independent-sample T test.
Results: We had 41 women (19 in control and 22 in exercise group) at baseline and 27 women at 6 months (14 in control group and 13 in exercise group). Average age of participants was 54.5±5.8 and average BMI of them was 27.9±3.2. Average adherence level of participant to exercise intervention was 66.4%. There were no significant differences between Intervention and control group at baseline characteristics. Maximal oxygen consumption increased 17.1% in intervention group and decreased 4.6% in control group from baseline to 6monthsand the difference between them was statistically significant (p value=0.001). Percent of body fat decreased 2.1% and 0.4% in intervention and control group respectively (p value=0.08). BMI decreased 1.2% in intervention group and increased 1.4% in control group and the difference was statistically significant (p value=0.004).
Conclusion: long-term moderate aerobic training was associated with decreased body fat percentage and body mass index and improved cardio respiratory fitness. So, aerobic exercise training could reduce the breast cancer risk in postmenopausal women through decreased body fat indexes.
Khosravanian Asiye, Saeid Ayat,
Volume 8, Issue 3 (12-2015)
Abstract
Introduction: Breast cancer is the most prevalent type of cancer in women. Timely diagnosis of cancer can increase the chances of a patient’s life expectancy. Artificial Neural Networks are the modern methods of modeling and forecasting. The purpose of this study is diagnosing benignity or malignancy of breast cancer tumors. For this purpose a support decision system (DSS) based on PNN designed.
Methods: In this research, a PNN was devised which, based on input variables, helps predict the type of breast cancers. The proposed system relied on the available data of 699 cases of patients with breast cancer that were stored in UCI Machine Learning Repository. The existing data in the reservoir were preprocessed and the data were then normalized through the linear method. To implement the network, the applications and functions in Matlab were used, and 65% of the data were used for the network training phase, whereas the remaining 35% were used for network testing phase. Nine clinical variables were considered as the network inputs. Criteria for sensitivity, specificity, and accuracy were used to evaluate the test phase of the network.
Results: After the DSS simulation using PNN, the parameters of sensitivity, specificity, and accuracy were found by the system to be 1, 0.98, and 0.99, respectively.
Conclusion: The results showed PNN performance in the detection of breast cancer better and stronger than other artificial neural networks. The network implementation in this article has more speed in training phase, and generalization is better than similar research.
Hosein Ghayoumi Zadeh , Nasrin Ahmadinejad, Mohammad Reza Baghdadi, Javad Haddadnia,
Volume 8, Issue 3 (12-2015)
Abstract
Introduction: The temprture of human body can be indicative of a nutrual basis to detect some diseases.applying Thermal imaging (thermography) through the infrared method is a fast, non-invasive, non-contact Rapid, non-invasive, non-contact and flexible method for monitoring body temperature. The purpose of this study is to determine the diagnostic value of thermal imaging in the detection some diseases of the breast tissue.
Methods: This study has adopted cross-sectional research methodology, that it applied non contact infrared camera INFREC R500 for evaluating the capabilities of thermography. The Study was conducted on 60 patients suspected of breast tissue disease, which were referred to Imam Khomeini Imaging Center. Information obtained from the questionnaires and the performed Clinical examinations along with the obtained Diagnostic results from ultrasound images, biopsies and thermography, were analyzed by the respective experts.
Results: The analysis of the results indicated that the use of Thermography along with the asymmetry technique is useful in identifying hypoechoic, and cystic masses. It should be noted that the patient should not sufferer from breast discharge. The Accuracy of asymmetry technique identification is respectively 91/89% and 92/30% Also Accuracy of exact location identification is on the 61/53% and 75%.it Is also effective on identifying heterogeneous mass, fibroadenoma, and intra-ductal masses. But it is unable to identify isoeqo and calcified mass.
Conclusion: According to the results of the investigation, Thermography is useful in the initial screening and Supplementation of diagnostic procedures duo its safety (its non-radiation property), low cast and the exact recognition of diseases of the breast tissue.
Robab Sheikhpour,
Volume 8, Issue 3 (12-2015)
Abstract
Introduction: One of the most important tumor markers in determining the prognosis and treatment of breast cancer is expression of estrogen and progesterone receptors. Also Ki67 biomarker) mitosis indicator) represents growth rate and tumor proliferation. Grade is a determining factor in prognosis and tumor behavior and lymph node involvement is an important predictive factor for invasive breast cancer. Therefore the purpose of this paper is immunohistochemical assessment of ER and PR in breast cancer patients and its relation with proliferation and tumor grade.
Methods: In this descriptive-analytical study, one hundred and eighty four breast cancer patients were chosen from Shahid sadoughi hospital in 2011-2013. Immunohistochemistry technique was used for assessment of expression of ER, PR and tumor proliferation (Ki67). Statistical analysis was performed using pearson, tau-kendall and linear regression test.
Results: In this study, average amount of ER, PR, Ki67 were respectively 69.16± 18.63, 58.32 ± 12.2 and 26.32±18.63٪ in breast cancer patients. There was inverse relation between ER and PR with grade (P<0.05), but there was no relation between ER and PR with cell proliferation and age (P>0.05).
Conclusion: The results of this study showed that the expression of estrogen and progesterone receptors and cell proliferation is different in tissue tumors of breast cancer patients. Also high expression of steroid receptors was associated with low grade of tumors in breast cancer patients.
Mahdi Rahmanian, Morteza Naghib, Amir Seyfoori, Ali Akbar Zare, Keivan Majidzadeh-A,
Volume 9, Issue 1 (6-2016)
Abstract
Introduction: Calcium phosphate nanoparticles such as nano hydroxyapatite have shown excellent physical, chemical and biological properties and have allocated special place in regenerative medicine applications. Recently, the inhibitory effect of hydroxyapatite, as a calcium phosphate, on many cancers has been reported.
Methods: In this article β-tricalcium phosphate was synthesized using co-precipitation method and its physicochemical properties were studied (SEM, FTIR and XRD). Inhibitory effect of beta-tricalcium phosphate nanoparticles on the growth and proliferation of breast cancer cell line MCF-7 was investigated.
Results: In vitro MTT assay studies showed that the inhibitory effect was dependent on the concentration of tricalcium phosphate nanoparticles. In addition, the results demonstrated that the inhibitory effect was 78% attributed to 50 mg. L-1 concentration of tricalcium phosphate nanoparticles.
Conclusion: In lowest concentrations, the inhibitory effect of tricalcium phosphate nanoparticles was higher than others.
Mahdi Hemmasian Etefagh , Mohammad Hossein Nadimi Shahraki ,
Volume 9, Issue 1 (6-2016)
Abstract
Introduction: Anything that increases a person's chance of developing breast cancer is risk factor. Awareness of these risk factors to identify women who have a high risk of developing breast cancer may be helpful. It also allows intervening in individual and social risk factors and adjustment the incidence of cancer in the individual and our community. The aim of this study is to provide a mathematical model to determine the risk of breast cancer in screening centers.
Methods: In this study we used the data from Breast Cancer Surveillance Consortium (BCSC) in National Cancer Institute in USA from 2000-2009 on 6318638 people. For clustering we used EM algorithm and executed in Weka software to cluster this data.
Results: All of the risk factors do not increase the risk of breast cancer in a same mode. Some of these factors are more dangerous and increases the risk raise more than from another risk. Therefore, to determine the impact factor of the population could be achieved in a model upon which to predict the likelihood of breast cancer will be there.
Conclusion: The results of this study shown that using EM algorithm and effective clustering may be effective, any of the risk factors studied in a dataset and for each factor as effective coefficient obtained, and finally the sum of these impact factors on the risk of breast cancer risk factors, the risk can be predicted.
Fatemeh Asgarian, Masoud Mirzaei, Sedigheh Asgarian, Mehrdad Jazayeri,
Volume 9, Issue 1 (6-2016)
Abstract
Introduction: Breast cancer is the most common cancer in Iranian women and the incidence is increasing. There is a variation in the incidence of breast cancer across the country. Little is known about secular trend of incidence of the cancer in different cities of the country. This study aims to investigate the incidence and secular trend of breast cancer in Kashan city during 2000-2010.
Methods: This was a descriptive study, in which data were extracted from the cancer registry system of Kashan University of Medical Science and the university affiliated pathology labs in Kashan during 2000-2010. Age standardized incidence rate was used for data from the cancer registry system.
Results: In this study, over ten years 469 breast cancer cases were reported. The incidence increased with increasing age before 59 years, but it decreased in patients with greater than 60 years .Breast cancer incidence rate showed increasing trend in the period of study.
Conclusion: The findings of this study showed that the incidence rate of the cancer is increasing. The cancer was the most common cancer, especially in fourth and fifth decades of women’s life. Prevention programs and awareness of related risk factors should be given to all women and performing screening would be helpful in female population at risk.
Yadollah Ramezani, Gholam Abbas Moosavi, Leila Golfam, Zahra Mahdavirad, Mahdi Takhtfiroozeh,
Volume 9, Issue 1 (6-2016)
Abstract
Introduction: Cancer is considered as the main cause of death in the developed countries and the second leading cause of death in the developing countries. Breast cancer has a high prevalence in Iran. Therefore, this study was done to investigate the awareness of female students of Kashan University of Medical Sciences about the risk factors of breast cancer.
Methods: This study was a cross-sectional study. Out of 1,000 questionnaires, 941 were fully responded. The first section of the questionnaire contained the demographic data and the second part consisted of 9 questions about risk factors of breast cancer. According to the information the students had about breast cancer, points of weak, average and good were assigned. Using SPSS 16 software, all the collected data were entered and then Kruskal-Wallis test was used for statistical analysis.
Results: Results showed that out of 941 questionnaires, 323 were married and 618 were single. The average point assigned to the students for their knowledge about risk factors was 5.77 out of 9 which showed moderate awareness. Nursing and midwifery students with the average scores of 7.62 had the highest awareness among other faculty students. The average awareness score of faculty of Medicine, Health and Paramedical was 5.98, 5.36 and 4.12 respectively.
Conclusion: The results of this study show that female students of Kashan University of Medical Sciences had a moderate awareness about risk factors of breast cancer. Therefore, training is necessary and should be provided to the students who will be responsible in future.
Ali Mohammad Latif, Mohammad Momeny, Rabeyeh Sarram, Mahdi Agha Srram , Ali Pour Ahmadi , Zahra Haj Ebrahimi ,
Volume 9, Issue 1 (6-2016)
Abstract
Introduction: The correct prediction of breast cancer disease is of great importance. The presence of different signs and characteristics of the disease has made it difficult for physicians’ to diagnose. Data mining allows the analysis of the patients’ medical data for medical decisions. The goal of this paper is to present an accurate model designed for predicting breast cancer disease.
Methods: In this study, the medical case files of 574 patients with breast cancer diseases with 32 features were examined. Patient information was acquired from the Mortaz General Hospital Standard Database and selected. Genetic Algorithm and Data mining are used for the purpose of presenting a model for the prediction of Erythemato-Squamous disease.
Results: The suggested model was compared with the Decision Tree, Nayo-Biz and Nearest Neighbor methods. Results show that the prediction accuracy of the suggested model was 0.973, also for other methods the accuracy of prediction was 0.913, 0.929 and 0.951 respectively.
Conclusion: In the prediction of breast cancer disease, the suggested model acquired the least error and the most accuracy and validation in comparison with other methods. The Nayo-Biz method has the most error and least accuracy.
Mohammad Momeny, Rabeah Sarram, Mehdi Agha Sarram, Mostafa Shiryazdi, Afsaneh Ghasemi, Ali Pourahmadi, Zahra Hajebrahimi,
Volume 9, Issue 2 (8-2016)
Abstract
Abstract
Introduction: Impulse noise removal of mammography image is of great importance. The presence of different signs and characteristics of the disease has made it difficult for physicians’ to diagnose. MLP neural network allows the analysis of the patients’ medical data for medical decisions. The goal of this paper is to present an accurate model designed for reduction of degradation caused by high density impulsive noise in mammography images.
Methods: In this study, the medical case files of 574 patients. Patient information was acquired from the Mortaz General Hospital Standard Database and selected. GBC Algorithm and MLP neural network are used for reduction of degradation Caused by high density impulsive noise in mammography images.
Results: The suggested model was compared with the MDBUTMD and ATSM methods. In reduction of degradation caused by high density impulsive noise in mammography images, the suggested model acquired the least error and the most PSNR and validation in comparison with other methods. The ATSM method has the most error and least PSNR.
Conclusion: Subjective and objective evaluations on different images with different noise densities show the superiority of the proposed method over the related recent works in the field.
Fatemeh Rahimi, Shahpar Haghighat,
Volume 9, Issue 2 (8-2016)
Abstract
Abstract
Introduction: Mastectomy and movement limitations after breast cancer surgery, may cause changes in body posture by inducing disorders in body statistics and limitation of movements in spine, which alters Quality of Life. Defining these deformities may develop strategies to combat it. The aim of study is comparing Thoracic kyphosis and lumbar lordosis in breast cancer survivors compared to healthy women.
Methods: Study population consisted of 21 breast cancer survivors and 21 healthy age matched women referred to Seyed-khandan physiotherapy institute. A 60-cm-long flexicurve was used to measure the size of the curve in thoracic and lumbar spines and kyphosis and Lordosis angle were calculated. Mean difference of these angles and their correlated factors were studied.
Results: Mean age of participants was 48.7 (±7.1) years old. There was no significant difference in demographic characteristics between two groups. Mean Lordosis in patients and healthy women were 50.74 and 48.38 respectively (p = 0.1) and mean degree of kyphosis were 55.28 and 40.59 in two groups. (P<0.001) Age and Body Mass index (BMI) showed positive correlation with kyphosis.
Conclusion: Breast cancer survivors experience more increased thoracic kyphosis compared to healthy women. Considering the correlation of increasing age and BMI with severity of this complication, Rehabilitation interventions for correction body posture and strengthening of muscles and suitable diet and physical activity for Gaining fitted BMI is suggested.
Akram Sajadian, Farideh Dokanei Fard, Masoumeh Behboodi,
Volume 9, Issue 2 (8-2016)
Abstract
Introduction: Today, cancer is the most common and important diseases worldwide which extensive research is done to prevent and treat cancer. HER3 is a membrane- bound protein that is encoded by ErBB3 gene. After heterodimerization with other family members it can be phosphorylated and activated. The aim of this study was HER3 expression investigation as a factor involve in the spread of breast cancer.
Methods: In this study 20 breast cancer and 20 healthy paraffin embedded tissue samples were collected from Mehr Hospital of Tehran in Jan up to Sep 1392. RNA was extracted from tissue samples by RNX solution, and then cDNA synthesis was carried out by Rnadom Hexamer and oligo dT primers and MMULV enzyme. After that PCR reactions were optimized for HER3 gene by using specific primers. PCR products were determined by electrophoresis in Agarose gel.
Results: Her3 gene expression in 70% of patients samples due to the presence of bands observed on agarose gel and specific band were not observed in 30% of samples. In addition to, in 20% of normal samples PCR product were observed but in 80% of normal samples band didn’t observe.
Conclusion: on the base of results it could be said that ErbB3 expression is increased in breast cancer patients. Non- significant over expression in normal samples indicate that increased expression of HER3 is a reliable factor to detect the disease in early stages, or even thought it could be a prognostic factor in breast cancer.
Maryam Tayebi Niaraki, Mahsa Kavosi, Elham Moslemi, Amir Izadi,
Volume 9, Issue 2 (8-2016)
Abstract
Introduction: Today, cancer is the most common and important diseases worldwide which extensive research is done to prevent and treat cancer. HER3 is a membrane- bound protein that is encoded by ErBB3 gene. After heterodimerization with other family members it can be phosphorylated and activated. The aim of this study was HER3 expression investigation as a factor involve in the spread of breast cancer.
Methods: In this study 20 breast cancer and 20 healthy paraffin embedded tissue samples were collected from Mehr Hospital of Tehran in Jan up to Sep 1392. RNA was extracted from tissue samples by RNX solution, and then cDNA synthesis was carried out by Rnadom Hexamer and oligo dT primers and MMULV enzyme. After that PCR reactions were optimized for HER3 gene by using specific primers. PCR products were determined by electrophoresis in Agarose gel.
Results: Her3 gene expression in 70% of patients samples due to the presence of bands observed on agarose gel and specific band were not observed in 30% of samples. In addition to, in 20% of normal samples PCR product were observed but in 80% of normal samples band didn’t observe.
Conclusion: on the base of results it could be said that ErbB3 expression is increased in breast cancer patients. Non- significant over expression in normal samples indicate that increased expression of HER3 is a reliable factor to detect the disease in early stages, or even thought it could be a prognostic factor in breast cancer.
Hamed Jabbari, Nooshin Bigdeli, Ali Khadem,
Volume 9, Issue 3 (12-2016)
Abstract
Abstract
Introduction: Breast cancer is one of the most common gynecological diseases. Segmentation and boundary detection of the breast tumors are from the most serious challenges in the diagnosis of breast cancer. Nowadays mammography is the best way to detect the breast tumors, in which, inaccurate segmentation and edge detection of the masses may lead to wrong diagnosis or biopsy of the breast tissue. In this paper, a new hybrid method for the segmentation and edge detection of the tumors in the mammographic images of the breast tissue is introduced in order to facilitate automatic classification of tumors as benign or malignant.
Methods: In this research, the well-known DDSM database was employed which includs 150 mammography images of malignant tumors, and 150 mammography images of benign tumors. After removing additional areas such as background, edge detection of the tumors was done via segmentation of the image based on the image histogram and the combination of wavelet transform and genetic algorithm as well as mathematical morphology. Also, Ant colony optimization and Particle swarm optimization (PSO) algorithms were used for segmentation of the mammography images and compared with the proposed method.
Results: The proposed hybrid method has good accuracy and high speed in segmentation of the mammography images for classification of the breast tumors. The hybrid method including genetic algorithm leads to higher classification accuracy compared with ant colony optimization and PSO algorithms. The segmentation of tumors via the proposed hybrid method leads to classification accuracy 91.4% which is satisfactory.
Conclusion: The proposed hybrid method is a fast and efficient method for segmentation and edge detection of the breast tumors. The results of this paper showed that the proposed intelligent method has good ability to detect the tumors to help the radiologists and so the unnecessary biopsy of the breast tissue may be omitted. Secondly, between the applied segmentation algorithms, genetic algorithm leads to higher classification accuracy.
Mahdieh Nasiri, Maghsoud Peeri, Hassan Matinhomaee,
Volume 9, Issue 3 (12-2016)
Abstract
Abstract
Introduction: The studies of the last two decades have shown that regular training has an important role in inhibiting breast cancer progression, alsoErbB3 function as aTherapeutic factor for reduction of tumor growth, so the aim of the study was to evaluate the comparison of HighIntensity Interval Training Versus Continuous Training on the expression of ErbB3 in breast cancer bearing mice.
Methods: For this purpose, 18 BALB/c mice (6-8 weeks, weight 19 ± 1.05 g), after induction of cancer (MC4-L2 subcutaneous injection into the right side of the mice), were randomly divided into three 6-member groups: high-intensity interval training, continuous training and control. Each session of high-intensity interval training group program includes sixintervals of three minutes and 20 seconds with an intensity of 85 to 90 percent of VO2max and 1 minute recovery with 30 to 35 percent VO2max intensity between each interval and The continuous training program was defined as running at 60% VO2max for 60 minutes in each session; Training programs were conducted five days a week for 10 weeks.
Results: The statistical results showed thatthe expression level of ErbB3 decreased significantly in both exercise groups compared to the Control group(p=0.005); however, there was no difference between both exercise groups(p=0.304)and alsoboth continuous and interval training were effective to inhibit the growth of breast tumors, but HIT program appears to confer greater inhibitor than the continuous training program.
Conclusion: It seems that HIT is more effective at inhibit breast tumor than the continuous training program.
Omid Rahmani Seryasat, Javad Haddadnia, Hossein Ghayoumi Zadeh,
Volume 9, Issue 3 (12-2016)
Abstract
Abstract
Introduction: Mammography is the most common modality for screening breast cancer. In this paper a computer aided system is introduced to diagnose benignity and malignancy of masses.
Methods: In the first step of the proposed method, masses are prepared for segmentation using a noise reduction and contrast enhancement technique. Afterwards, a region of interest is segmented using a new adaptive region growing algorithm, and boundary and texture features are extracted to form its feature vector. Consequently, a new robust architecture is proposed to combine weak and strong classifiers to classify masses. Finally, the proposed mass diagnosis system was also tested on mini-MIAS and DDSM databases.
Results: The obtained results indicate that the proposed system can compete with the state-of-the-art methods in terms of accuracy.
Conclusion: The novelties of the proposed system can be summarized as presenting a new automatic adaptive region growing algorithm to extract boundary of masses, using descriptors based on empirical mode functions, and introducing a new framework for combing classifiers.
Fateme Mehrabani, Farzaneh Barati, Elahe Ramezanzade Tabriz, Mehdi Bakaeian, Bahare Gholami Chaboki,
Volume 9, Issue 3 (12-2016)
Abstract
Introduction: Stress, anxiety and depression have negative effect on functional status, quality of life, duration and frequency of hospitalization and even the prognosis of patients with breast cancer. The prevalence of unpleasant feelings is a risk factor for reduced survival and disagreement of treatment of these patients. This study aimed to determine stress, anxiety and depression and it is relationship with demographic variables and parental bonding with in patients with breast cancer.
Methods: The study was cross-sectional and descriptive- analytical. The study conducted on 260 patients with breast cancer referred to in 22 bahman hospital in neyshabour city through convenience sampling from October 2012 to September 2015. Data were collected through demographic information and questionnaire (DASS-42). After collection, the data were analyzed by SPSS 21 software.
Results: The prevalence of stress, anxiety and depression in patients with cancer were 66.7%, 77.4%, 51.2%, respectively. Average scores of stress (25/75±1.77), depression (19.46±10.76) and anxiety were (15.57±9.10) this indicates that patients with cancer have moderate of stress and depression and were high levels anxiety. The test results showed that, there are significant relationship between the rate of education, history of psychiatric disorders in family, age, number of children and the prevalence of stress, anxiety and depression.(P<0.05). There is significant and negative association between the occurrence of unpleasant emotions and the relationship of parent and child in patients with cancer (p<0.001, r=-0.117).
Conclusion: The results of this study can help nurses based on counseling services, appropriate care and supporting So that they can provide appropriate and timely preventive strategies and planning programs to reduce unpleasant emotions breast cancer patients and improving their condition and parental bonding.
