Brown University Study Reveals Unexpected Abnormalities On Lung Cancer CT Scans Often Signal Undiagnosed Cancers In Kidneys And Lymph Nodes

A Brown University study finds that incidental abnormalities on lung CT scans often point to undiagnosed kidney cancer, lymphoma, and leukemia within one year.

By: AXL Media

Published: Mar 31, 2026, 11:16 AM EDT

Source: Information for this report was sourced from Brown University

The Diagnostic Value of Incidental Findings

Medical researchers at the Brown University School of Public Health have uncovered a critical link between routine lung cancer screenings and the early detection of other undiagnosed malignancies. While computerized tomography scans are the clinical standard for identifying lung cancer in high-risk smokers, the imaging often captures areas of the body beyond the chest. The new study, published in JAMA Network Open, suggests that abnormalities spotted in the liver, kidneys, or lymph nodes during these sessions are frequently the first visible signs of extrapulmonary cancers.

Evidence from the National Lung Screening Trial

The study analyzed data from more than 26,000 individuals who participated in the landmark National Lung Screening Trial. By reviewing over 75,000 scans conducted across three screening rounds, the research team found that cancer-related abnormalities appeared in approximately 6.8 percent of participants. Those flagged with these specific unexpected findings faced a significantly elevated risk of being diagnosed with a non-lung cancer within twelve months, highlighting the potential for CT scans to serve as a multi-organ diagnostic tool.

Identifying High Risk Anomaly Patterns

Not all incidental findings warrant invasive follow-up, and the Brown University team sought to distinguish between benign anomalies and those requiring immediate attention. The strongest correlations were found between screening abnormalities and cancers of the urinary system, specifically kidney and bladder cancer. Additionally, the researchers noted a high predictive value for hematologic malignancies, such as lymphoma and leukemia, when abnormalities appeared in the lymph nodes. This data helps clinicians prioritize which "unexpected" results should trigger further oncological testing.