An AI Approach to Differentiating Lung Squamous Cell Carcinoma From Metastases of Other Origins
JAMA Network Open 10.1001/jamanetworkopen.2026.0908March 18, 2026 at 11:00 AM EDT
Can an artificial intelligence–assisted approach integrated into the routine molecular profiling workflow differentiate lung squamous cell carcinoma (SCC) from metastases of other origins?In this cross-sectional study of 3958 cases submitted as lung SCC for molecular profiling, 123 (3.1%) were confirmed as metastases of other origins, including cutaneous SCC, urothelial carcinoma, head and neck SCC, and thymic carcinoma.These findings suggest the importance of an artificial intelligence–assisted approach to distinguishing tissues of origin in patients with presumed primary lung SCC, thus avoiding misdiagnosis and associated impacts on prognosis and therapy selection.
Link to the article in your story
We encourage you to link out to this article in your story using the link below. It includes an access token that will give free access to the article for your readers up to one year after publication. (The link will be live after the article publishes and embargo is lifted.)
Please see the article for additional information, including full author list, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.
Need more information? Contact us.