BreastScreen Reader Assessment Strategy
Funding success for the BREAST team!
We are delighted to announce we have been successful in obtaining an Investigator Initiated Researcher Scheme (IIRS) grant from the National Breast Cancer Foundation to investigate AI as a second reader/triage model for Breast Screening. Such great news!
Furthermore, BREAST has upgraded our online platform that now enables all readers to utilise our test sets without the need for PACS.
The BREAST team are also working closely with the RANZCR ASM convenors to have our workshop happening this year after a 2 year hiatus, very exciting times ahead! Stay tuned and follow us on twitter #Syd_BREAST,
Our second newsletter was sent out recently, April edition. Please get in touch if you missed out.
High quality breast imaging and accurate image assessment are critical to the early diagnoses, treatment and management of women with cancer. Mammography is the primary diagnostic tool for detecting breast cancer with 800,000 women X-rayed annually in Australia however, it fails to detect 30% of breast cancers, with many missed cancers being visible on the image. The BreastScreen Reader Assessment Strategy (BREAST) monitors mistakes, identify reasons for mammographic errors and create innovative solutions to reduce errors.
BREAST is based on digital screen reading test sets designed to assess the performance of radiologists and radiology registrars. Developed by a team of researchers at the University of Sydney in collaboration with Cancer Institute NSW in 2011, BREAST has made it possible for thousands of clinicians to assess their performance on high-quality test sets in mammography and digital breast tomosynthesis, at workshops and in their own clinics. This immediate feedback is made possible through the online app, BreastAustralia. To view how BreastAustralia works, check out our video.
The data generated by BREAST are de-identified and used for further research in the fields of radiology performance, perception science, medical imaging technologies, breast imaging optimisation, and other domains.
These features make BREAST a powerful radiology training and research tool that is being used in Australia, New Zealand, Asia, Middle East, and Europe.