• Asian Pacific Journal of Cancer Prevention
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• v.13 no.4
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• pp.1543-1545
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• 2012

Breast cancer accounts for about 26% of all newly diagnosed cancers in women aged 20 to 59 years. As part of a basic program for cancer control, the present cross sectional descriptive study was conducted with the objective of determining the epidemiology of breast cancer in Ardabil province during 2003-2010. Necessary information on 469 recorded cases of breast cancer in the registry were collected by check list from patient's files and then analyzed by statistical methods with SPSS.16 software. Some 455 of the patients (97%) were female, 329 (70.1%) residing in Ardabil. The mean age was $46.8{\pm}13.6$ and most were in the age group of 40 - 60. The most prevalent pathologic form was infiltrative ductal carcinoma with 316 cases (67.4%), the largest proportion being grade II (30.6%), but very many belonged to grades III and IV (40.5%). Breast cancer in Ardabil province appeared to slightly increase over the period studied. The results were similar to other places in Asia. With regard to this, more widespread studies are required to determine factors influencing the prevalence at low age and also how to promote early detection.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.18
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• pp.8439-8443
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• 2016

Background: Breast cancer is the most common malignancy in women worldwide and its incidence is generally increasing. In 2012, it was the second most common cancer in the world. It is necessary to obtain information on incidence and mortality for health planning. This study aimed to investigate the relationship between the human development index (HDI), and the incidence and mortality rates of breast cancer in the world in 2012. Materials and Methods: This ecologic study concerns incidence rate and standardized mortality rates of the cancer from GLOBOCAN in 2012, and HDI and its components extracted from the global bank site. Data were analyzed using correlation tests and regression with SPSS software (version 15). Results: Among the six regions of WHO, the highest breast cancer incidence rate (67.6) was observed in the PAHO, and the lowest incidence rate was 27.8 for SEARO. There was a direct, strong, and meaningful correlation between the standardized incidence rate and HDI (r=0.725, $p{\leq}0.001$). Pearson correlation test showed that there was a significant correlation between age-specific incidence rate (ASIR) and components of the HDI (life expectancy at birth, mean years of schooling, and GNP). On the other, a non-significant relationship was observed between ASIR and HDI overall (r=0.091, p=0.241). In total, a significant relationship was not found between age-specific mortality rate (ASMR) and components of HDI. Conclusions: Significant positive correlations exist between ASIR and components of the HDI. Socioeconomic status is directly related to the stage of the cancer and patient's survival. With increasing the incidence rate of the cancer, mortality rate from the cancer does not necessariloy increase. This may be due to more early detection and treatment in developed that developing countries. It is necessary to increase awareness of risk factors and early detection in the latter.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.12
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• pp.7381-7383
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• 2013

Background: Male breast cancer accounts for less than 1% of all cancer in men and only around 1% of all diagnosed breast cancer. Despite a significant raise in the last 25 years, it still remains a rare disease. Materials and Methods: We conducted a retrospective study from 2004-2011 with 21 male breast cancer patients. We aimed to analyze the epidemiologic data (age, personal and family history), tumor characteristics (size, histological type, location, TNM stage, receptors), surgery, adjuvant chemotherapy and radiation therapy, hormonal therapy and survival (relapse, follow up, death) who reffered to our center with breast cancer. Results: The median age was $49.2{\pm}14.2$ years (range 30-83 years). A family history of breast cancer was noted in four cases. The main clinical complaint was a retroareolar mass in 85.7%of patients (n=18). Histologically, 85.7% (n=18)were invasive ductal carcinoma and 4.7% (n=1) had ductal carcinoma in situ and 9.4% (n=2) had mixed histology including invasive medullary and ductal carcinoma. Hormonal therapy was delivered to 16 cases (76.1%) due to ER or PR positivity. During median follow up of 30 months (3-84 month), distant metastases were evident in 4 cases (19%). During the follow-up period, only one patient died due to metastatic disease. The mean time to recurrence detection was 30 months. Conclusions: The percentage of cases of male breast cancer is very low compared to breast cancer in females, explaining why very few investigations have been conducted in Iran. Limited coverage in the literature make gender-specific findings difficult so future research of this entity involving multi-institutional cooperation and longer follow up is essential to provide new insights about the biological and clinical factors of this rare cancer.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.24
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• pp.10735-10738
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• 2015

Background: Cancers of the breast, uterine cervix and ovary are common cancers amongst females of North East India. Not much is known about the descriptive epidemiology of these cancers in our population. The present retrospective analysis was therefore performed. Materials and Methods: The data set available at the hospital based cancer registry of a regional cancer center of North-East India, containing information on patients registered during the period of January 2010 to December 2012, was applied. A total of 2,925 cases of breast, uterine cervix and ovarian cancer were identified. Results: Of the total, 1,295 (44.3%) were breast cancers, 1,214 (41.5%) were uterine cervix and 416 (14.2%) ovarian cancer, median age (range) for breast, uterine cervix and ovary were 45 (17-85), 48 (20-91) and 45 years (7-80), respectively. Some 43.5% of cases with uterine cervix patients were illiterate, 5.4% and 5.7% stage I in breast and cervix respectively and 96.4% of ovarian cancers in advanced stage. Conclusions: Improvement of female education can contribute to increase the proportion of early stage diagnosis of breast and uterine cervix in our population. Any population-based intervention for the detection of cancers of breast, uterine cervix and ovarian cancer should be started early in our population.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.18
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• pp.8633-8636
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• 2016

Background: To investigate the expression of insulin-like growth factor-I receptor (IGF-IR) and sushi domain containing protein 3 (SUSD3) in breast cancer tissue, and analyze their relationship with clinical parameters and the correlation between the two proteins. Materials and Methods: The expression of IGF-IR and SUSD3 in 100 cases of breast cancer tissues and adjacent normal breast tissues after surgery was detected by immunohistochemical technique MaxVisionTM, and the relationship with clinical pathological features was further analyzed. Results: The positive rate of IGF-IR protein was 86.0% in breast cancer, higher than 3.0% in adjacent normal breast tissue (P<0.05). The positive expression rate of SUSD3 protein was 78.0% in breast cancer, higher than 2.0% in adjacent normal breast tissue (P<0.05). The expression of IGF-IR and SUSD3 was related to estrogen receptor and pathological types (P<0.05),but not with age, stage, the expression of HER-2 and Ki-67 (P>0. 05). The expression of IGF-IR and SUSD3 in breast cancer tissue was positively related (r=0.553, P<0.01). Conclusions: The expression of IGF-IR and SUSD3 may be correlated to the occurrence and development of breast cancer. The combined detection of IGF-IR, SUSD3 and ER may play an important role in judging prognosis and guiding adjuvant therapy after surgery of breast cancer.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.151-160
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• 2023

Breast cancer is the most dangerous and deadly form of cancer. Initial detection of breast cancer can significantly improve treatment effectiveness. The second most common cancer among Indian women in rural areas. Early detection of symptoms and signs is the most important technique to effectively treat breast cancer, as it enhances the odds of receiving an earlier, more specialist care. As a result, it has the possible to significantly improve survival odds by delaying or entirely eliminating cancer. Mammography is a high-resolution radiography technique that is an important factor in avoiding and diagnosing cancer at an early stage. Automatic segmentation of the breast part using Mammography pictures can help reduce the area available for cancer search while also saving time and effort compared to manual segmentation. Autoencoder-like convolutional and deconvolutional neural networks (CN-DCNN) were utilised in previous studies to automatically segment the breast area in Mammography pictures. We present Automatic SegmenAN, a unique end-to-end adversarial neural network for the job of medical image segmentation, in this paper. Because image segmentation necessitates extensive, pixel-level labelling, a standard GAN's discriminator's single scalar real/fake output may be inefficient in providing steady and appropriate gradient feedback to the networks. Instead of utilising a fully convolutional neural network as the segmentor, we suggested a new adversarial critic network with a multi-scale L1 loss function to force the critic and segmentor to learn both global and local attributes that collect long- and short-range spatial relations among pixels. We demonstrate that an Automatic SegmenAN perspective is more up to date and reliable for segmentation tasks than the state-of-the-art U-net segmentation technique.

• Herbal Formula Science
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• v.24 no.4
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• pp.283-288
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• 2016

Objectives : The purpose of this study was to investigate the anti-cancer effects of extract of Rhus verniciflua Stokes (RVS) in human breast cancer cell lines. Methods : In cultured human breast cancer MCF-7 cells, we investigated growth inhibitory effect of RVS. MCF-7 cells were cultured with various concentrations (0, 200, 300, and 400 ug/ml) of RVS at $37^{\circ}C$ for 24 h. We performed CCK-8 assay and flow cytometry for detection of Annexin V-PI staining. Results : As a result, RVS inhibits the cell growth and induction of apoptosis in dose dependent manner in MCF-7 breast cancer cells. Conclusion : RVS has anti-cancer activities and induced apoptosis in human breast cancer MCF-7 cells. Therefore we suggest that RVS can use as a novel class of anti-cancer drugs.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.16
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• pp.6863-6870
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• 2015

Background: Breast cancer accounted for almost 25% of all cancers in women globally in 2012. Although breast cancer is the most prevalent cancer in India, there is no organised national breast cancer screening programme. Local studies on the burden of breast cancer are essential to develop effective context-specific strategies for an early detection breast cancer programme, considering the cultural and ethnic heterogeneity in India. This study examined the knowledge, attitudes, and practices about breast cancer in rural women in Central India. Materials and Methods: This community-based cross sectional study was conducted in Wardha district, located in Maharashtra state in Central India in 2013. The sample included 1000 women (609 rural, 391 urban) aged 13-50 years, selected as representative from each of the eight development blocks in the district, using stratified cluster sampling. Trained social workers interviewed women and collected demographic and socio-economic data. The instrument also assessed respondents' knowledge about breast cancer and its symptoms, risks, methods of screening, diagnosis and treatment, as well as their attitudes towards breast cancer and selfreported practices of breast cancer screening. Chi-square and t-test were applied to assess differences in the levels of knowledge, attitude, and practice (the outcome variables) between urban and rural respondents. Multivariable linear regression was conducted to analyse the relationship between socio-demographic factors and the outcome variables. Results: While about two-thirds of rural and urban women were aware of breast cancer, less than 7% in rural and urban areas had heard about breast self-examination. Knowledge about breast cancer, its symptoms, risk factors, diagnostic modalities, and treatment was similarly poor in both rural and urban women. Urban women demonstrated more positive attitudes towards breast cancer screening practices than their rural counterparts. Better knowledge of breast cancer symptoms, risk factors, diagnosis, and treatment correlated significantly with older age, higher levels of education, and being office workers or in business. Conclusions: Women in rural Central India have poor knowledge about breast cancer, its symptoms and risk factors. Breast self-examination is hardly practiced, though the willingness to learn is high. Positive attitudes towards screening provide an opportunity to promote breast self-examination.

• The Korean Journal of Nuclear Medicine
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• v.33 no.3
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• pp.243-246
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• 1999

Currently, dissection of the axillary or regional lymph nodes is considered the standard staging procedure in breast cancer. However, accumulating evidence is becoming available that the sentinel node concept may provide the same or even better staging information. In the case of melanoma, it is proven that the histological characteristics of the sentinel node reflect the histological characteristics of the distal part of the lymphatic basin. Morbidity can be reduced significantly by the use of sentinel node dissection as several authors have reported successful introduction of this technique into clinical practice. But in breast cancer patients, there are signigicant differences in practice relating to the technology, such as radiopharmaceuticals, injection sites, volume of injectate, combination with vital blue dye, preoperative lymphoscintigraphy, etc. Valuable reports on these topics appeared in recent journals. This review is a summary of those reports for nuclear physicians interested in sentinel node detection by lymphoscintigraphy in breast cancer patients.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.113-120
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• 2023

One of the most prevalent disease among women that leads to death is breast cancer. It can be diagnosed by classifying tumors. There are two different types of tumors i.e: malignant and benign tumors. Physicians need a reliable diagnosis procedure to distinguish between these tumors. However, generally it is very difficult to distinguish tumors even by the experts. Thus, automation of diagnostic system is needed for diagnosing tumors. This paper attempts to improve the accuracy of breast cancer detection by utilizing deep learning convolutional neural network (CNN). Experiments are conducted using Wisconsin Diagnostic Breast Cancer (WDBC) dataset. Compared to existing techniques, the used of CNN shows a better result and achieves 99.66%% in term of accuracy.