Researchers from the Netherlands have pioneered an AI-enhanced electronic 'nose' that analyzes breath to potentially revolutionize early detection of esophageal cancer.
Published in the BMJ on February 25, 2020, gastroenterology and hepatology experts detailed their study on a compact electronic 'nose' designed to identify esophageal cancer. This cancer often develops silently, though chronic acid reflux can signal risk. A key precursor is Barrett's esophagus, where gastroesophageal reflux alters cells in the esophagus, leading to abnormal growth.
In 5 to 10% of cases, this progresses to esophageal adenocarcinoma, impacting glandular cells at the esophagus-stomach junction.
Traditional detection relies on endoscopy, an invasive and costly procedure involving a camera-equipped tube. Breath, however, carries molecular markers of disease. The Dutch team's electronic nose uses AI to detect Barrett's esophagus non-invasively.
Trained on breath samples from 90% of participants, the AI was tested on the remaining 10% across 402 patients: 129 with Barrett's esophagus, 141 with reflux, and 132 healthy controls. Study leaders suggest this tool could enhance screening for at-risk individuals, encouraging broader participation with its simplicity.
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