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Breast Screening Programme, England, 2023-24
Between 2022 and 2023, about 72.9 percent of women aged 50 to 69 years in Italy had a mammogram. Preventive breast cancer screening through a mammogram every two years is most recommended for those aged 50 to 69 years. Between 2022 and 2023, breast cancer screening was much more common in the Northern Italian regions, with rates often above 80 percent. Breast cancer screening over time Before 2020, when COVID-19 hit Italy, the share of women between 50 and 69 years undergoing breast cancer screening at least once in the previous two years, had an increasing trend overall. However, the share of women who underwent preventive examinations for breast cancer after 2019 had a considerable decrease compared to the previous years. As a matter of fact, in 2019 the share of women with breast cancer screening amounted to 75.1 percent, while in 2020 it was 72.5 and in 2021 dropped to 68.8 percent. Cervical cancer screening In Italy, women between the ages of 25 and 64 years are recommended to do a cervical cancer screening every three years. Since 2008, the percentage of women aged 25 to 65 who underwent cervical cancer screening in the previous three years, fluctuated yearly from 75.2 to 81 percent. This peak was reached in 2019 and was followed by a steep decrease in 2020, in correspondence with the spread of COVID-19. Between 2022 and 2023, when the share of women with cervical cancer screening amounted to 77.2 percent in Italy, geographical differences could be observed across the country: among Northern regions, with 83.4 percent of women underwent this screening, while in Southern regions this share amounted to only 69.1percent.
In 2018, the share of women aged 50-75 years who had received a breast cancer screening in the past two years was lowest in Alaska (67.3 percent) and highest in Rhode Island (87 percent). This statistic displays the percentage of U.S. women aged 50-75 years who received a breast cancer screening in the past two years as of 2018.
Between 2008 and 2023, the share of women between 50 and 69 years old undergoing breast cancer screening at least once in the previous two years in Italy has been always fluctuating, peaking in 2017 at 75.2 percent. As of 2023, around 74 percent of women in this age group underwent preventive examinations for breast cancer, whereas the previous year recorded the lowest figure during the considered period. The age group 50-69 is the one for which preventive breast cancer screening is most recommended. This statistic shows the share of women undergoing breast cancer screening in the previous two years in Italy from 2008 to 2023.
Between 2014 and 2022, the share of women who underwent a breast cancer screening and were called back to the hospital for further investigation in Italy stayed relatively stable. The lowest rate was recorded in 2014 and 2015, with 5.8 percent of women called for further investigation after breast cancer screening. This statistic displays the share of women who were called for further investigation after undergoing breast cancer screening in Italy from 2014 to 2022.
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Forecast: Breast Cancer Screening (Programme Data) in Germany 2024 - 2028 Discover more data with ReportLinker!
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The dataset contains x-ray images, mammography, from breast cancer screening at the Karolinska University Hospital, Stockholm, Sweden, collected by principal investigator Fredrik Strand at Karolinska Institutet. The purpose for compiling the dataset was to perform AI research to improve screening, diagnostics and prognostics of breast cancer.
The dataset is based on a selection of cases with and without a breast cancer diagnosis, taken from a more comprehensive source dataset.
1,103 cases of first-time breast cancer for women in the screening age range (40-74 years) during the included time period (November 2008 to December 2015) were included. Of these, a random selection of 873 cases have been included in the published dataset.
A random selection of 10,000 healthy controls during the same time period were included. Of these, a random selection of 7,850 cases have been included in the published dataset.
For each individual all screening mammograms, also repeated over time, were included; as well as the date of screening and the age. In addition, there are pixel-level annotations of the tumors created by a breast radiologist (small lesions such as micro-calcifications have been annotated as an area). Annotations were also drawn in mammograms prior to diagnosis; if these contain a single pixel it means no cancer was seen but the estimated location of the center of the future cancer was shown by a single pixel annotation.
In addition to images, the dataset also contains cancer data created at the Karolinska University Hospital and extracted through the Regional Cancer Center Stockholm-Gotland. This data contains information about the time of diagnosis and cancer characteristics including tumor size, histology and lymph node metastasis.
The precision of non-image data was decreased, through categorisation and jittering, to ensure that no single individual can be identified.
The following types of files are available: - CSV: The following data is included (if applicable): cancer/no cancer (meaning breast cancer during 2008 to 2015), age group at screening, days from image to diagnosis (if any), cancer histology, cancer size group, ipsilateral axillary lymph node metastasis. There is one csv file for the entire dataset, with one row per image. Any information about cancer diagnosis is repeated for all rows for an individual who was diagnosed (i.e., it is also included in rows before diagnosis). For each exam date there is the assessment by radiologist 1, radiologist 2 and the consensus decision. - DICOM: Mammograms. For each screening, four images for the standard views were acuqired: left and right, mediolateral oblique and craniocaudal. There should be four files per examination date. - PNG: Cancer annotations. For each DICOM image containing a visible tumor.
Access: The dataset is available upon request due to the size of the material. The image files in DICOM and PNG format comprises approximately 2.5 TB. Access to the CSV file including parametric data is possible via download as associated documentation.
In 2023, 64.7 percent of breast cancer cases in Sweden were detected during screening. Women between 40 and 74 years should do these screenings every year or every two years in the country. The share detected through screenings slightly increased in 2022 compared to the previous year.
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Forecast: Breast Cancer Screening (Programme Data) in Italy 2024 - 2028 Discover more data with ReportLinker!
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Forecast: Breast Cancer Screening (Programme Data) in France 2024 - 2028 Discover more data with ReportLinker!
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Forecast: Breast Cancer Screening (Programme Data) in Finland 2024 - 2028 Discover more data with ReportLinker!
Between 2018 and 2020, about 0.6 percent of the population were screened for breast cancer. Furthermore, Tamil Nadu recorded the highest screening rate among the states and union territories as of that time period.
The number of women invited for breast cancer screening in Germany in 2021 amounted to almost 5.9 million, while roughly 3.1 million underwent the screening. This statistic depicts the number of women screened for breast cancer in Germany between 2017 and 2021.
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Forecast: Breast Cancer Screening (Programme Data) in Canada 2024 - 2028 Discover more data with ReportLinker!
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The aim of this study was to assess the acceptability and feasibility of offering risk-based breast cancer screening and its integration into regular clinical practice. A single-arm proof-of-concept trial was conducted with a sample of 387 women aged 40–50 years residing in the city of Lleida (Spain). The study intervention consisted of breast cancer risk estimation, risk communication and screening recommendations, and a follow-up. A polygenic risk score with 83 single nucleotide polymorphisms was used to update the Breast Cancer Surveillance Consortium risk model and estimate the 5-year absolute risk of breast cancer. The women expressed a positive attitude towards varying the frequency of breast screening according to individual risk and, especially, more frequently inviting women at higher-than-average risk. A lower intensity screening for women at lower risk was not as welcome, although half of the participants would accept it. Knowledge of the benefits and harms of breast screening was low, especially with regard to false positives and overdiagnosis. The women expressed a high understanding of individual risk and screening recommendations. The participants' intention to participate in risk-based screening and satisfaction at 1-year were very high.
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BackgroundCancer has become the leading cause of mortality in Singapore and among other Asian populations worldwide. Despite the presence of National Cancer Screening programmes in Singapore, less than half of the population has had timely screening according to guidelines. The underlying factors of poor cancer screening rates and health outcomes among Asian ethnic groups remain poorly understood. We therefore examined cancer screening participation rates and screening behavior in a multi-ethnic Singapore population.MethodsWe collected data from 7,125 respondents of the 2015–2016 Singapore Community Health Study. Factors associated with cervical, breast, and colorectal cancer screening were evaluated using modified Poisson regression. Adjusted prevalence ratios were computed with 95% confidence intervals after adjusting for confounders.ResultsThe mean age of the respondents was 57.7 ± 10.9 years; 58.9% were female and were predominately Chinese (73.0%), followed by Malay (14.2%), and Indian (10.9%). Less than half of the respondents in the recommended age groups had undergone cancer screening (cervical, 43%; breast, 35.1%; colorectal, 27.3%). Malay respondents were significantly less likely to screen as recommended for cervical (aPR = 0.75, CI = 0.65–0.86, p < 0.001), breast (aPR = 0.83, CI = 0.68–0.99, p = 0.045), and colorectal cancer (aPR = 0.55, CI = 0.44–0.68, p < 0.001), as compared to Chinese respondents. Respondents who had obtained lower secondary level education were 42% more likely to screen for cervical cancer (aPR = 1.42, CI = 1.23–1.64, p < 0.001), and 22% more likely to screen for breast cancer (aPR = 1.22, CI = 1.02–1.46, p = 0.032), compared to those with primary level education and below. Respondents with a household income ≥S$10,000/month were 71% more likely to screen for breast cancer (aPR = 1.71, CI = 1.37–2.13, p < 0.001), as compared with
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This dataset presents the footprint of participation statistics in BreastScreen Australia for women ages 50 to 74, by age group. The national breast cancer screening program, BreastScreen Australia began in 1991. It aims to reduce illness and death from breast cancer using screening mammography for early detection of unsuspected breast cancer in women. The data spans the years of 2014-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic boundaries from the 2011 Australian Statistical Geography Standard (ASGS). Cancer is one of the leading causes of illness and death in Australia. Cancer screening programs aim to reduce the impact of selected cancers by facilitating early detection, intervention and treatment. Australia has three cancer screening programs: BreastScreen Australia National Cervical Screening Program (NCSP) National Bowel Cancer Screening Program (NBCSP) The National cancer screening programs participation data presents the latest cancer screening participation rates and trends for Australia's 3 national cancer screening programs. The data has been sourced from the Australian Institute of Health and Welfare (AIHW) analysis of National Bowel Cancer Screening Program register data, state and territory BreastScreen Australia register data and state and territory cervical screening register data. For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - National Cancer Screening Programs Participation Data Tables. Please note: AURIN has spatially enabled the original data.
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Source: Cancer Screening Database, HPA. Data by February 8, 2014. Note: 1. Breast cancer screening rate calculation method: Number of women aged 45-69 who have undergone breast cancer screening in the past 2 years divided by the population of women aged 45-69 in December of that year. 2. Since July 2004, breast cancer screening has been provided to women aged 50-69 every 2 years. From November 17, 2009, the service has been expanded to include women aged 45-69.
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Abstract Introduction There is a need to develop methods to evaluate public health interventions. Therefore, this work proposed an intervention analysis on time series of breast cancer mortality rates to assess the effects of an action of the Brazilian Screening Programme. Methods The analysed series was the monthly female breast cancer mortality rates from January 1996 to March 2016. The intervention was the establishment of the National Information System on Breast Cancer in June 2009. The Box-Tiao approach was used to build a Global Intervention Model (GIM) composed of a component that fits the series without the intervention, and a component that fits the effect with the intervention. The intervention’s response time was estimated and used to define the length of the residual series to assess the predictive accuracy of the GIM, which was compared to a one-step-ahead forecasting approach. Results The pre-intervention period was fitted to a SARIMA (0,1,2) (1,1,1)12 model and the intervention’s effect to an ARIMA (1,1,0) model. The intervention led to an increase in the mortality rates, and its response time was 24 months. The forecast error (MAPE) for the GIM was 3.14%, and for the one-step-ahead forecast it was 2.15%. Conclusion This work goes one step further in relation to the studies carried out to evaluate the Breast Cancer Screening Programme in Brazil, considering that it was possible to quantify the effects and the response time of the intervention, demonstrating the potential of the proposed method to be used to evaluate health interventions.
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BackgroundBreast cancer is a global concern, with 2.3 million new cases and 685,000 deaths recorded in 2020, and projections of reaching 4.4 million cases by 2070. In Tanzania, it’s the second leading cause of cancer-related deaths among women, often diagnosed at advanced stages, leading to poor outcomes. Only 5% of women in the country report undergoing breast cancer screening, the aim study is to determine factors associated with breast cancer screening in Tanzania.MethodsThis was analytical cross-sectional study among women of reproductive age in Tanzania, utilizing data from the Demographic and Health Surveys (DHS) which employed a two-stage probability sampling. A weighted sample of 15,189 women of reproductive age (15–49) was included in the study. Binary logistic regression analysis was used to examine factors associated with breast cancer screening. These results were presented using adjusted odds ratio (AOR) with a 95% confidence interval.ResultsAfter controlling for other factors, the following factors remained significantly associated with breast cancer screening among women of reproductive age; age(AOR = 5.33, 95% CI 3.72, 7.63), being wealthy (AOR = 2.34, 95% CI 1.61, 3.38), residing in rural(AOR = 0.59, 95% CI 0.46, 0.763), being educated(AOR = 2.43, 95% CI 1.60, 3.68), being insured(AOR = 2.40, 95% CI 1.89, 3.06), healthcare facility visits in the past 12 months(AOR = 1.43, 95% CI 1.14, 1.78) and living in Northern zone (AOR = 2.43, 95% CI 1.42, 4.15) compared to western zone.ConclusionBreast cancer screening is still under-utilized and have shown to be marginalized in women of reproductive age. Upgrading diagnostic services, comprehensive health education and awareness campaigns are instrumental to increase utilization and reduction of burden of breast cancers in Tanzania.
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Breast Screening Programme, England, 2023-24