
A new AI tool predicts likelihood of breast cancer recurrence after surgery using pre-operative mammograms.
Key Details
- 1AI model utilizes pre-op mammograms of patients treated for ductal carcinoma in situ (DCIS).
- 2Study included women who had surgery for DCIS between 2012 and 2017.
- 3At least one year of postoperative follow-up data per patient was analyzed.
- 4Tool's AI-derived risk scores correlated with incidence of second breast cancers, including invasive recurrence.
- 5Medical records and imaging data were used to validate recurrence prediction.
Why It Matters
Identifying patients at higher risk of recurrence post-breast cancer treatment can help tailor surveillance and management. AI-based imaging analysis could personalize follow-up care and improve early detection of recurrent or new cancers.

Source
Radiology Business
Related News

•Radiology Business
GE HealthCare and RadNet Expand Global AI Mammography Partnership
GE HealthCare and RadNet are extending their partnership globally to offer AI-enhanced mammography systems.

•AuntMinnie
Radiology Receives Declining Share of Industry Research Funding
Radiologists received only 1.1% of industry-funded research payments in 2024, with a continuing downward trend.

•AuntMinnie
GPT-4o AI Matches Radiologists in Follow-Up Imaging Recommendations
GPT-4o matched the performance of experienced radiologists and surpassed residents in recommending follow-up imaging from routine radiology reports.