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Breath Samples as Clues to Lung Cancer
GLOBALSaturday, January 18, 2025
To distinguish between NSCLC patients and healthy individuals or those with benign lung conditions, the researchers created a model called OPLS-DA. This model uses a combination of five key metabolites and showed a promising accuracy of 84. 9%, with 86. 2% sensitivity (ability to correctly identify people with NSCLC) and 83. 3% specificity (ability to correctly identify people without NSCLC).
This study highlights a potential non-invasive method for early lung cancer detection, though more research is needed to validate these findings.
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