Objective To explore attendance at organised mammographic screening among immigrant groups that received an invitation letter and information leaflet (invitation) in their language of origin and Norwegian compared with Norwegian only.
Design Randomised controlled trial.
Setting Population based screening programme for breast cancer in Norway (BreastScreen Norway), which invites women aged 50-69 to two-view mammographic screening biennially.
Participants All women invited to BreastScreen Norway in the study period April 2021 to June 2022 whose language of origin was Arabic (women born in Algeria, Egypt, Lebanon, Iraq, Palestine, Sudan, Syria, Tunisia, or Morocco), English (women born in the Philippines), Polish (women born in Poland), Somali (women born in Somalia), or Urdu (women born in Pakistan) (n=11 347).
Intervention The study group received an invitation to screening in their language of origin and in Norwegian, whereas the control group received an invitation in Norwegian
Background: We aimed to develop and validate a model predicting breast cancer risk for women targeted by breast cancer screening. Method: This retrospective cohort study included 57,411 women screened at least once in BreastScreen Norway during the period from 2007 to 2019. The prediction model included information about age, mammographic density, family history of breast cancer, body mass index, age at menarche, alcohol consumption, exercise, pregnancy, hormone replacement therapy, and benign breast disease. We calculated a 4-year absolute breast cancer risk estimates for women and in risk groups by quartiles. The Bootstrap resampling method was used for internal validation of the model (E/O ratio). The area under the curve (AUC) was estimated with a 95% confidence interval (CI). Results: The 4-year predicted risk of breast cancer ranged from 0.22–7.33%, while 95% of the population had a risk of 0.55–2.31%. The thresholds for the quartiles of the risk groups, with 25% of t
Personalized breast cancer screening could improve cancer survival and reduce overdiagnosis miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.
Artificial intelligence (AI) is a promising approach for breast cancer diagnosis in screening mammography programs, according to a major new study published in Radiology.