AI Model Detects Pancreatic Cancer Years Earlier on Routine CT Scans
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Mayo Clinic researchers have developed an artificial intelligence (AI) model that can detect pancreatic cancer on routine abdominal CT scans up to three years before clinical diagnosis. The model identified 73% of prediagnostic cancers months earlier than specialists could without assistance, potentially addressing the disease's notoriously late detection. The technology is now advancing into a clinical trial to evaluate its integration into care for high-risk patients.
Facts First
- An AI model can detect pancreatic cancer up to three years before diagnosis on scans taken for other reasons.
- The model identified 73% of cancers at a median of approximately 16 months before clinical diagnosis.
- Detection was nearly double the rate of specialists reviewing the same scans without computer assistance.
- The research is advancing into a clinical trial called Artificial Intelligence for Pancreatic Cancer Early Detection (AI-PACED).
- The model targets high-risk patients, such as those with new-onset diabetes, analyzing hundreds of quantitative imaging metrics.
What Happened
The Mayo Clinic developed an artificial intelligence (AI) model, the Radiomics-based Early Detection Model (REDMOD), to detect pancreatic cancer on routine abdominal CT scans. The findings were published last week in the journal Gut. The model was validated using data mirroring clinical practice, analyzing nearly 2,000 CT scans, including scans from patients later diagnosed with pancreatic cancer that were originally interpreted as normal. REDMOD identified 73% of prediagnostic cancers at a median of approximately 16 months before diagnosis. Its detection rate was nearly double that of specialists reviewing the same scans without computer assistance, and in scans obtained more than two years before diagnosis, it identified nearly three times as many early cancers.
Why this Matters to You
Pancreatic cancer is often diagnosed late, with more than 85% of patients receiving a diagnosis after the disease has spread, leading to survival rates below 15%. This AI model could change that trajectory by spotting the disease years earlier during routine scans you might already be getting for other abdominal issues. If you are at elevated risk, such as having new-onset diabetes, this technology could mean a future where your standard CT scan is automatically screened for these faint, early signs, potentially leading to earlier intervention and better outcomes.
What's Next
The research is advancing into clinical testing through a prospective study called Artificial Intelligence for Pancreatic Cancer Early Detection (AI-PACED). This study will evaluate how clinicians can integrate AI-guided detection into care for patients at elevated risk, combining AI analysis of routine imaging with long-term follow-up. The work is part of the Mayo Clinic's broader Precure initiative, which aims to predict and prevent disease by identifying the earliest biological changes before symptoms begin.