EBCC-14 Poster: Clinical validation of an artificial-intelligent (AI) enabled digital test using the patient's diagnostic breast biopsy to predict invasive breast cancer recurrence within 6-years.
Invasive Breast cancer (IBC) has surpassed lungcancer as the leading diagnosed cancer worldwide, representing some 15.5% of all cancer deaths. There remains an outstanding need to improve the current standard of care at diagnosis, including a reproducible and quantitative assessment of histologic grade and biological phenotype. We previously validated a digital laboratory-developed test to predict breast cancer recurrence using the surgical resection specimen. We now present the same approach for the diagnostic biopsy, providing a risk of recurrence earlier in the treatment planning and decision process.
