This large scale study – currently taking place in Belgium, France, Israel, Italy, and the UK – is investigating varying the approach to breast cancer screening based on individual women’s risk of developing breast cancer.
Consenting women will be randomised into one of two arms in the study, either receiving the standard care or the personalised programme. Women in the personalised programme found to be at higher risk will receive more regular mammography scans, with those at the highest level of risk also receiving MRI scans. While women at low risk will have mammography scans less frequently than under the current system. Ultrasound scans will also be given to women found to have high breast density which is may obscure small lesions in mammography (see our BRAID trial for more information) and is a risk factor itself.
A woman’s level of risk will be assessed based on genetic factors and breast density as well as personal and familial health history given through questionnaires. With information updated on a yearly basis, it is possible that the categorisation of an individual’s risk may be reassessed.
MyPeBS will investigate whether this personalised approach is at least equally or maybe more beneficial than the standard one.
For more information please watch this short video and visit the MyPeBS website.
A playlist with copies of this video in languages other than English.
Research Team
Principal Investigator:
Research Associates:
- Doctor Nicholas Payne – Medical Physicist
- Jaimie Taylor – Project Manager
- Miranda Townsend – Project Manager
- Kirsten Morris – Research Radiographer
PhD Students:
- Doctor Sarah Hickman – Clinical PhD student
Visitors:
- Doctor Iris Allajbeu – Visiting Researcher
Support Staff
- Amy Frary – Research Nurse
- Johanna Field-Rayner – Research Nurse
Technologies
- Full-Field Digital Mammography (FFDM)
- Automated Breast Ultrasound (ABUS)
Funding
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N°755394
