Your CT scan might know before you do. A Mayo Clinic study found that people who develop pancreatic cancer show measurable declines in body fat and muscle mass on CT scans up to three years before diagnosis — changes distinct from those seen in cancer-free individuals. Researchers say these findings could help build smarter, earlier risk-detection tools for one of cancer's deadliest forms.
Pancreatic cancer is notoriously hard to catch early — most cases are diagnosed only after the disease has spread. But a new Mayo Clinic study published in Pancreatology suggests that routine CT scans may hold hidden clues, detecting body composition changes years before a formal diagnosis is made.
Researchers analyzed abdominal CT scans from 1,825 pancreatic ductal adenocarcinoma (PDAC) patients and 3,650 matched controls across Mayo Clinic sites in Arizona, Florida, and Minnesota. Using an AI-based body composition tool, they tracked changes in skeletal muscle, subcutaneous fat, and visceral fat over time — and found that future cancer patients showed significantly steeper fat loss in the three years before diagnosis, with muscle loss becoming most apparent in the final 12 months.
By the Numbers:
Why it matters: Most pancreatic cancers occur outside known high-risk groups, leaving the majority of patients without any early surveillance. If body composition changes from already-routine CT scans can be integrated into risk algorithms, it could open a new, low-cost pathway to earlier detection — potentially saving lives.
