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AI Model EAGLE Detects Early Esophageal Cancer on Routine Chest CT Scans
Key Takeaways
- EAGLE (Esophageal AI-Guided malignant Lesion Evaluation) detects esophageal cancer and precancerous lesions from noncontrast chest CT, a task the authors say was historically considered impossible.
- The model was trained on 6,813 patients from two centers and validated across 12 centers in three countries involving 80,612 patients.
- In opportunistic screening external test cohorts (eight centers, n = 11,466), EAGLE achieved 98.5% specificity, 90.0% sensitivity for cancer and 52.5% for precancerous lesions.
- Low-dose CT validation (two centers, n = 1,607) showed comparable performance, supporting screening through existing lung cancer screening programs.
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DT Editorial Team··via nature.com