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Breath analysis examining specific patterns of volatile organic compounds (VOCs) has been demonstrated to be able to discriminate lung cancer (LC) patients from healthy controls (HC). However, the existing technology uses complex, expensive, and low throughput analytical platforms to give an offline response, thus preventing its applicability for mass screening. The reliability of a new portable device to enable rapid, on-site LC diagnosis is tested.
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The breath of patients with histologically proven NSCLC and healthy controls was sampled into Tedlar bags through a Nafion filter and a one-way mouthpiece. The breath samples in the bags were then analyzed by an automated micro portable gas chromatography device developed in-house, which consisted of a thermal desorption tube, thermal injector, separation column, and photoionization detector, as well as other accessories such as pumps, valves, and a helium cartridge. The chromatograms were analyzed by chemometrics and machine learning techniques.
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60 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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