
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
AI-Powered Tool Streamlines CT Scan Prioritization in Emergency Departments
An AI-based CT queue system significantly reduces wait times for ED patients by prioritizing scans likely to reveal critical findings.

•Radiology Business
AI Workflow Enables General Radiologists to Match Breast Specialists in Screening
AI-powered workflow helps generalist radiologists detect breast cancer at rates comparable to specialists.

•Radiology Business
LLMs Automate Radiology Report Quality Control, Study Finds
LLM-based systems can rapidly automate radiology report quality control, saving significant manual review time.