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Effect of invitation letter in language of origin on screening attendance: randomised controlled trial in BreastScreen Norway

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 ....

Paula Berstad , Sameer Bhargava , Solveig Hofvind , Gunhild Mangerud , Sophia Zackrisson , Nadia Iqbal , Cancer Society , National Population Register , Breastscreen Norway , Screen Norway , Cancer Registry , National Population , Open Access , Creative Commons Attribution Non Commercial ,

Cancers | Free Full-Text | Personalized Breast Cancer Screening: A Risk Prediction Model Based on Women Attending BreastScreen Norway

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 ....

New Zealand General , New Zealand , Health Register , Volpara Solutions , Health Data Filing System , Breast Cancer Risk Assessment , Risk Stratified Prevention , Early Detection , Breast Cancer , Cancer Registry Regulations , Health Register Act , Norwegian Cancer Registry , Registry Regulations , Personal Health Data Filing System Act , Screen Norway , Breastscreen Norway , Cancer Registry , Breast Imaging Reporting , Data System ,

Personalized breast cancer screening could improve cancer survival and reduce overdiagnosis

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.

Comunidad Autonoma De Cataluna , Javier Louro , Dr Laura Biganzoli Is Co , Breast Centre At Santo Stefano Hospital , Hospital Del Mar Medical Research Institute , European Breast Cancer Conference , Cancer Registry , Hospital Del , Breastscreen Norway , Screen Norway , Laura Biganzoli , Breast Centre , Santo Stefano Hospital ,

AI Used in Breast Cancer Diagnosis, a Promising Approach

Artificial intelligence (AI) is a promising approach for breast cancer diagnosis in screening mammography programs, according to a major new study published in Radiology. ....

Solveig Hofvind , Breast Cancer Diagnosis , Breast Cancer Screening , Cancer Registry , Screen Norway , Reduced Reading ,