Harnessing Exhaled Breath for Lung Cancer Early Detection-Results From the ExPeL Study
Scalable, non-invasive tools are critically needed to improve early lung cancer detection and optimize primary care referral pathways. We evaluated Inflammacheck, a point-of-care device utilizing exhaled breath condensate (EBC) H 2 O 2 and physiological parameters with machine learning for non-invasive lung cancer detection in a real-world screening population. Exhaled Hydrogen Peroxide for Early Lung Cancer Detection (ExPeL) study participants, from the UK Targeted Lung Health Check (TLHC) programme, included i…
A point-of-care exhaled breath condensate device combined with physiological parameters and ensemble machine learning identified early-stage lung cancer in a real-world screening cohort with 85.7% accuracy and 100% specificity on held-out test data.
Findings are based on a small cohort of 34 participants with valid EBC data, limiting generalizability to broader screening populations.
Evidence
- Peer-reviewedClinical and Translational Science2026-08-01
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Truvace Impact Record TRV-2026-0616, v1: “Harnessing Exhaled Breath for Lung Cancer Early Detection-Results From the ExPeL Study.” Truvace, 2026-08-01. /record/TRV-2026-0616 (accessed at citation time). sha256 b51f171aae0cb3f7…
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