Breast Cancer In Urban Areas Research Articles

Hybrid GLFIL Enhancement and Encoder Animal Migration Classification for Breast Cancer Detection

Breast cancer has become the second leading cause of death among women worldwide. In India, a woman is diagnosed with breast cancer every four minutes. There has been no known basis behind it, and detection is extremely challenging among medical scientists and researchers due to unknown reasons. In India, the ratio of women being identified with breast cancer in urban areas is 22:1. Symptoms for this disease are micro calcification, lumps, and masses in mammogram images. These sources are mostly used for early detection. Digital mammography is used for breast cancer detection. In this study, we introduce a new hybrid wavelet filter for accurate image enhancement. The main objective of enhancement is to produce quality images for detecting cancer sections in images. Image enhancement is the main step where the quality of the input image is improved to detect cancer masses. In this study, we use a combination of two filters, namely, Gabor and Legendre. The edges are detected using the Canny detector to smoothen the images. High-quality enhanced image is obtained through the Gabor–Legendre filter (GLFIL) process. Further image is used by classification algorithm. Animal migration optimization with neural network is implemented for classifying the image. The output is compared to existing filter techniques. Ultimately, the accuracy achieved by the proposed technique is 98%, which is higher than existing algorithms.

Environment as a Breast Cancer-Causing Factors in Urban Women in Indonesia

Environmental influence is one of the important factors in breast cancer incidence because residential and work environments may be potential for breast cancer outcomes. This study aimed to determine residential and workplace environments with the occurrence of women breast cancer in urban areas in Indonesia. This study used data from Non-Communicable Disease (NCD Research) in 2016 which covered 34 provinces in Indonesia. There were 38,790 people to measure the occurrence of breast cancer in women aged 25–64 years. The sample was women who were willing to be interviewed and to conduct clinical breast examinations (Sadanis). The analysis was aimed at finding out the correlation between exposure, residential environment, and workplaces with the occurrence of breast tumor/cancer. The results showed that the risk of breast cancer in women who worked in risky workplaces from the normal state was 1.96 times higher than women who worked in non-risky workplaces (OR=1.96; 95% CI= 1.41 to 2.7; p<0.001). Suspected of tumor/cancer in the residential areas are inversely proportional to those not living close to the mining location (OR=0.86; 95% CI= 0.77 to 0.97; p<0.001). These findings suggest the important role of the environment in breast cancer incidence. Therefore, it is recommended to apply a healthy lifestyle, both physically and spiritually, and provide regular health screening.

Diagnostic accuracy of core needle biopsy of breast lesions

Breast cancer is the most common cancer in women both in the developed and developing world. In India, the age adjusted incidence of breast cancer in urban areas ranges between 20-30 per 1,00,000 population. Core needle biopsy (CNB) has been the first approach in cases of large lesions clearly malignant at mammogram. Therefore, CNB enables more definitive diagnosis than FNAC to differentiate benign and malignant tumors. A sample size of 60 cases are included in this study. The specimens sent to the department of pathology will be processed by routine histopathological techniques. Data is entered in SPSS and analyzed. Chi-square test is used to find sensitivity, specificity, NPV and PPV of core needle biopsy. Among benign lesions, mastitis comprising of 5 cases (11.5%). Among malignant cases IDC –NST was most common type comprising of 27 cases, 8 cases were inconclusive. Out of 60 cases 50 cases underwent mastectomy/lumpectomy, 7 were benign and 43 were malignant. All 50 cases were correlating with core needle biopsy diagnosis. 8 cases which were inconclusive in CNB underwent mastectomy/lumpectomy as BIRADS/FNAC were showing carcinoma features. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) are 86.6%, 100%, 86.6% and 100% respectively.

Higher frequency of dairy intake is associated with a reduced risk of breast cancer: Results from a case-control study in Northern and Eastern China.

The association between dairy intake and breast cancer risk has not been well investigated, especially in the Chinese population. This study aimed to examine the association between the weekly frequency of dairy intake and the risk of breast cancer among women in Northern and Eastern China, and to investigate whether the association varied by hormone receptor status. A total of 1,286 cases of breast cancer and 1,461 controls were enrolled in this study. Dairy intake was obtained using a food-frequency questionnaire (FFQ). Frequency of dairy intake per week was divided into four categories (<1 day/week, 1–2 days/week, 3–4 days/week and 5–7 days/week). Unconditional multivariate logistic regression analysis was used to estimate odds ratios (ORs) and 95% confidence intervals (95% CI). Stratified analyses were performed by residence, age, and education level. Separate analyses were also conducted for different estrogen receptor (ER) and progesterone receptor (PR) status. This analysis revealed that weekly frequency of dairy intake was strongly inversely associated with breast cancer risk, with an adjusted OR for intake 5–7 days/week of 0.53 (95% CI=0.39–0.72, P<0.001 for trend). In the stratified analyses, women who consumed dairy 5–7 days/week had a lower risk of breast cancer in urban areas (OR=0.45, 95% CI=0.30–0.66, P<0.001 for trend), in the group 45–59 years old (OR=0.39, 95% CI=0.26–0.60, P<0.001 for trend), and in the group educated to senior high school or above (OR=0.39, 95% CI=0.25–0.59, P<0.001 for trend). There was an inverse association between the weekly frequency of dairy intake and the risk of ER+, PR+, and ER+PR+ breast cancer (all P<0.001 for trend). These results indicated that the weekly frequency of dairy intake was inversely associated with the risk of breast cancer among women in Northern and Eastern China.

Association of Dyslipidemia, Increased Insulin Resistance, and Serum CA 15-3 with Increased Risk of Breast Cancer in Urban Areas of North and Central India.

Objective:This study aims to determine the association of dyslipidemia and increased insulin resistance (IR) with increased breast cancer (BC) risk.Materials and Methods:The study group comprised 110 premenopausal and 143 postmenopausal, untreated female BC patients in the age range of 29–72 years. Control group consisted of 117 premenopausal and 141 postmenopausal healthy females in the age range of 23–75. Approximately 8-ml blood samples were drawn to measure various biochemical parameters. Serum glucose, total cholesterol, triglyceride (TG), and high-density lipoprotein-cholesterol were measured. Very low-density lipoprotein-cholesterol (VLDL-C) and LDL-C were calculated using Friedewald's formula. Serum insulin and serum CA 15-3 were estimated by immune enzymatic assay. IR was assessed using homeostasis model assessment IR index (HOMA-IR).Results:Clinical variables in the case and control groups were compared using the unpaired Student's t-test. The crude and adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by binary logistic regression analysis. Pearson's correlation analysis was used to determine the association between CA 15-3 and variables of interest. Total cholesterol, TG, LDL, VLDL, serum glucose, serum insulin, HOMA-IR, and serum CA 15-3 were significantly higher (P < 0.001) in BC patients compared to those in controls. Significant adjusted ORs with 95% CI were found to be fasting glucose, total cholesterol, and TGs. We also found a significant positive correlation between total cholesterol, TG, LDL, serum glucose, serum insulin, HOMA-IR, and serum CA 15-3.Conclusion:This study confirms the association between dyslipidemia, IR, and increased BC risk.

PAHs and PM2.5 emissions and female breast cancer incidence in metro Atlanta and rural Georgia

Environmental chemical exposure could be an important etiologic factor for geographic differences in breast cancer incidence. In this study, we examined emissions of polycyclic aromatic hydrocarbons (PAHs) and PM2.5 in relation to breast cancer incidence in metro Atlanta and rural Georgia by analyzing data from the Surveillance, Epidemiology, and End Results Program and the Environmental Protection Agency. The results showed that metro Atlanta had a significantly higher age-adjusted annual incidence rate of female breast cancer than rural Georgia (132.6 vs. 113.7 per 100,000) for 1992–2011. Emissions of both PAHs [adjusted β = 0.568 (95 % CI: 0.209, 0.927); p = 0.004] and PM2.5 [adjusted β = 2.964 (95 % CI: 0.468, 5.459); p = 0.023] were significantly associated with breast cancer incidence in metro Atlanta area. This study suggests that ambient air pollution, especially PAHs and PM2.5, could have a significant impact on the increased incidence of female breast cancer in urban areas.

The incidence and mortality trends of female breast cancer in Beijing, China: between 2004 and 2008

To analyze the incidence and mortality trends of female breast cancer in urban and rural areas of Beijing from 2004 to 2008. The incidence and mortality data of female breast cancer from 2004 to 2008 were sorted from Beijing Cancer Registry Database, including 15 527 new diagnosed cases and 3219 deceased cases in total, covering population 29 351 258 person years; among which 11 065 new cases and 2378 deceased cases were from urban areas, covering 17 877 128 person years and 4462 new diagnosed cases and 841 deceased cases were from rural areas, covering 11 474 130 person years. The incidence cases aged 25 and above were divided into 13 age groups by 5 years. The cases under 49 years (≤ 49) and over 49 years (> 49) were separately defined as premenopausal group and postmenopausal group. Incidence and mortality rates in each year, age-specific incidence and mortality rates in urban and rural areas in Beijing were calculated. The annual standard incidence and mortality rates were adjusted by world population constitution; and the incidence rates ratio in different years related to the place of residence, urban or rural were calculated. JoinPoint software was applied to analyze the incidence trend and calculated the annual percentage of changing (APC). The age of female breast cancer patients in urban Beijing in 2004 was (55.83 ± 13.01), while it changed to (56.10 ± 12.80) in 2008, increasing by 0.27 years old. The proportion of the patients who were under 49 years declined from 38.32% (732/1910) in 2004 to 34.02% (894/2628) in 2008. While the average age of the patients in rural areas have improved 0.21 year old, from (52.15 ± 11.33) years old in 2004 to (52.36 ± 11.59) years old in 2008; and the proportion of the patients under 49 years also declined from 45.44% (314/691) in 2004 to 43.40% (454/1046) in 2008. From 2004 to 2008, the incidence and mortality rate of female breast cancer in urban areas of Beijing separately rose from 55.43/100 000 (1910/3 445 812) and 10.65/100 000 (367/3 445 812) to 70.70/100 000 (2628/3 717 436) and 15.01/100 000 (558/3 717 436). And in rural areas, those rates separately rose from 30.60/100 000 (691/2 257 953) and 5.54/100 000 (125/2 257 953) in 2004 to 44.78/100 000 (1046/2 336 040) and 7.49/100 000 (175/2 336 040) in 2008. After adjusting by world population constitution, the difference showed no statistical significance in mortality trend of female breast cancer in rural areas of Beijing (P > 0.05). In year 2004, the female breast cancer incidence rate ratio of urban to rural areas in Beijing fluctuated between 1.34 and 4.47, with the average ratio value at 1.81. In year 2008, the ratio value fluctuated between 1.15 and 2.37, with the average ratio value at 1.57. During 2004 and 2008, the peak age group of the female breast cancer incidence in urban areas was in 60 - 64 years old group, with the rate of 126.92/100 000 (998/786 300) whereas the mortality rate was increasing within aging. In rural areas the peak age groups of the incidence and mortality were separately in 50 - 54 and 80 - 84 years old groups, with the rate of 80.63/100 000 (793/983 516) and 29.17/100 000 (40/137 132) respectively. The incidence and mortality of breast cancer in urban areas in Beijing, as well as the incidence of breast cancer in rural areas in Beijing showed increasing trend annually. The gap in breast cancer incidence between rural and urban areas in Beijing was narrowing, while the incidence rate among different aging groups and the peak mortality rate showed significant difference between urban and rural areas in Beijing.

Regional patterns and time trends in breast cancer mortality among women in China.

e12016 Background: Breast cancer is one of the leading causes of death in China. There is limited information available from large population-based cancer registries to describe the variability in breast cancer mortality in women by region and over time. Methods: The number of deaths and number of women at risk were obtained from the Third National Mortality Retrospective Sampling Survey (2004-2005). A total of 69 690 241 person-years (py) were accumulated in this study. The time trends in mortality during 1973 to 2005 were assessed using data from this survey as well as two previous surveys known as the First Survey in 1973-1975 and the Second Survey in 1990-1992. These surveys are broadly considered representative of the population in China. Results: The crude mortality rate among female breast cancer patients in China in 2004-2005 was 5.90 per 100 000 py (4112/69 690 241). This ranked the sixth most common cancer death in women, and accounted for 5.90% (4112/69 667) of all female cancer deaths. The crude mortality rates among female breast cancer patients were 6.86/100 000 py (1777/25 900 856) in Eastern China, 5.91/100 000 py (1431/24 225 738) in Central China and 4.62/100 000 py (904/19 563 647) in Western China. The age-standardized mortality rate in urban areas (4.91/100 000 py, 1899 deaths) was 1.44 fold higher than that in rural areas (3.42/100 000 py, 2213 deaths). The crude mortality doubled from 2.95/100 000 py in 1973-1975. The age-standardized mortality rate increased from 1.09/100 000 py in 1973-1975 to 3.97/100 000 py in 2004-2005. Conclusions: The mortality rate of female breast cancer in urban areas was higher than in rural areas. The mortality rate was highest in the Eastern region of China, followed by the Central then the Western regions. Breast cancer mortality in women increased substantially in China between 1973 & 2005.

Urban–rural differences of gynaecological malignancies in Egypt (1999–2002)

In previous studies, we have shown a three to four times higher urban incidence of breast cancer and estrogen receptor-positive breast cancers in the Gharbiah Province of Egypt. We investigated the urban-rural incidence differences of gynaecologic malignancies (uterine, ovarian and cervical cancers) to explore if they show the same trend that we found for breast cancer. Cancer registry-based incidence comparison. Gharbiah population-based cancer registry (GPCR), Tanta, Egypt. All patients with uterine, ovarian and cervical cancer in GPCR from 1999 to 2002. We calculated uterine, ovarian and cervical cancer incidence from 1999 to 2002. For each of the three cancers, we calculated the overall and age-specific rates for the province as a whole, and by urban-rural status, as well as for the eight districts of the province. Incidence of all three cancer sites was higher in urban than in rural areas. Uterine cancer showed the highest urban-rural incidence rate ratio (IRR = 6.07, 95% CI = 4.17, 8.85). Uterine cancer also showed the highest urban incidence in the oldest age group (70+ age category, IRR = 14.39, 95% CI = 4.24, 48.87) and in developed districts (Tanta, IRR = 4.14, 95% CI = 0.41, 42.04). Incidence rates by groups of cancer sites showed an increasing gradient of urban incidence for cancers related to hormonal aetiology, mainly of the breast and uterus (IRR = 4.96, 95% CI = 2.86, 8.61). The higher urban incidence of uterine cancer, coupled with our previous findings of higher incidence of breast cancer and estrogen receptor positive breast cancer in urban areas in this region, may be suggestive of possible higher exposure to environmental estrogenic compounds, such as xenoestrogens, in urban areas.