Breast cancer screening and immigrant women-A scoping review of attendance, knowledge, barriers and facilitators.

Aim: The aim of this study was to summarize the latest research reports about immigrant women and attendance in breast cancer screening.

Design: Scoping review.

Methods: Literature searches were made in CINAHL, PubMed, Web of Science, Google Scholar, Oatd and Oalster.

Mammography screening reduces rates of advanced and fatal breast cancers: Results in 549,091 women.

Background: It is of paramount importance to evaluate the impact of participation in organized mammography service screening independently from changes in breast cancer treatment. This can be done by measuring the incidence of fatal breast cancer, which is based on the date of diagnosis and not on the date of death.

Methods: Among 549,091 women, covering approximately 30% of the Swedish screening-eligible population, the authors calculated the incidence rates of 2473 breast cancers that were fatal within 10 years after diagnosis and the incidence rates of 9737 advanced breast cancers.

Early detection of breast cancer rectifies inequality of breast cancer outcomes.

Objectives: To explain apparent differences among mammography screening services in Sweden using individual data on participation in screening and with breast cancer-specific survival as an outcome.

Methods: We analysed breast cancer survival data from the Swedish Cancer Register on breast cancer cases from nine Swedish counties diagnosed in women eligible for screening. Data were available on 38,278 breast cancers diagnosed and 4312 breast cancer deaths.

A comprehensive tool for measuring mammographic density changes over time.

Background: Mammographic density is a marker of breast cancer risk and diagnostics accuracy. Density change over time is a strong proxy for response to endocrine treatment and potentially a stronger predictor of breast cancer incidence. We developed STRATUS to analyse digital and analogue images and enable automated measurements of density changes over time.

A clinical model for identifying the short-term risk of breast cancer.

Background: Most mammography screening programs are not individualized. To efficiently screen for breast cancer, the individual risk of the disease should be determined. We describe a model that could be used at most mammography screening units without adding substantial cost.