Brown University Study Reveals Lung Cancer CT Scans Frequently Detect Early Warning Signs of Undiagnosed Extrapulmonary Malignancies

Brown University research shows CT scans for lung cancer can reveal incidental findings that lead to the early diagnosis of kidney, bladder, and blood cancers.

By: AXL Media

Published: Apr 1, 2026, 9:09 AM EDT

Source: Information for this report was sourced from Brown University

The Diagnostic Potential of Incidental Screening Findings

When clinicians perform computerized tomography (CT) scans to screen high-risk patients for lung cancer, the images often capture anatomical regions far beyond the pulmonary system. A new study led by Brown University reveals that these "incidental findings" are not merely medical noise but can serve as critical indicators for other undiagnosed malignancies. By re-examining data from the National Lung Screening Trial, researchers identified a clear statistical link between certain non-lung abnormalities and the subsequent diagnosis of extrapulmonary cancers. This discovery suggests that the utility of routine lung screening extends well beyond its primary purpose, acting as a broader diagnostic net for the early detection of various internal diseases.

Analyzing the National Lung Screening Trial Dataset

The research team focused on a massive federal dataset involving more than 26,000 individuals, many of whom were longtime smokers at high risk for thoracic disease. Across three rounds of CT screening and more than 75,000 individual scans, the researchers looked for specific abnormalities that physicians had flagged as potentially indicative of cancer. The results, published in JAMA Network Open, showed that these findings appeared in approximately 6.8% of all participants. Individuals with these flagged abnormalities faced a significantly elevated risk of receiving a cancer diagnosis in other organ systems, such as the liver, kidneys, or lymph nodes, within twelve months of their initial lung scan.

Balancing Early Detection with Medical Overdiagnosis

One of the primary challenges in modern radiology is distinguishing between a life-threatening abnormality and a benign finding that requires no intervention. Professor Ilana F. Gareen, the study's lead author, emphasizes that the goal of this research is to provide an evidence base that helps doctors and patients avoid unnecessary, invasive procedures. By identifying which types of abnormalities are most likely to signal a true malignancy, the study helps prioritize follow-up care for those at highest risk. This data-driven approach aims to reduce the anxiety and physical toll associated with "false alarms" while ensuring that secondary cancers, such as lymphoma or leukemia, are caught while they are still treatable.