You probably know someone who has had a CT scan at some point. Most of us never think about those images again once the report comes back clean.
For some patients, those old scans may hold more than they first appeared to.
A new Mayo Clinic study in Pancreatology was published October 20, 2026. It found that people who later developed pancreatic cancer showed measurable drops in body fat and muscle on their routine abdominal CT scans years before diagnosis.
Pancreatic cancer is almost always caught late. Five years after diagnosis, only about 13 percent of patients are still alive, according to the Pancreatic Cancer Action Network.
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The group estimates that 67,530 Americans will be diagnosed in 2026 and that 52,740 will die of the disease this year. It is the third leading cause of cancer death in the United States.
What the researchers actually saw on the scans
The team analyzed abdominal CT scans from 1,825 patients with the most common form of pancreatic cancer and 3,650 matched people without it. The images came from Mayo Clinic sites in Arizona, Florida and Minnesota.
An AI tool measured three things on each scan. It tracked skeletal muscle, the fat sitting just under the skin, and the fat packed deep around the organs.
Patients who went on to develop pancreatic cancer lost significantly more of both types of fat than the comparison group during the three years before diagnosis. The gap in muscle mass showed up later, in the final 12 months.
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"Pancreatic cancer often develops silently, making early detection extremely challenging," Dr. Yan Bi, a Mayo Clinic gastroenterologist, said in the Mayo Clinic announcement.
"These findings suggest routine CT scans may capture physiological changes associated with pancreatic cancer before patients are diagnosed."
What this could mean for future screening
The researchers describe this as the largest controlled study of body composition before pancreatic cancer is diagnosed.
On their own, the body composition measures only moderately separated future cancer patients from the controls. The researchers call it a signal, not a diagnostic test.
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The team is now working on algorithms that would combine body composition with other clinical information and imaging biomarkers, especially for people who do not carry a known genetic risk.
For now, this remains research, not a clinical screening tool. Anyone with persistent abdominal pain, unexplained weight loss, jaundice or new-onset diabetes should talk with their doctor.
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This article is made and published by Aksel Kryhlmand, who may have used AI in the preparation.