Lung cancer detection by proton transfer reaction mass-spectrometric analysis of human breath gas

Wehinger, Andreas; Schmid, Alex P.; Mechtcheriakov, Sergei; Ledochowski, Maximilian; Grabmer, Christoph; Gastl, Guenther; Amann, Anton

doi:10.1016/j.ijms.2007.05.012

Cited by 248 publications

(212 citation statements)

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“…This is the second published report of the use of electronic nose breath profiling in MM and substantiates the promise of this technique as a simple, easy way for detecting malignancy which has previously been reported for lung cancer [15,[17][18][19]. A study by DRAGONIERI et al [28] published very recently, while our paper was under review, also reports high levels of discrimination between patients with MM and those with long-term asbestos exposure using an electronic nose system, with results almost identical to those of our study.…”

Section: Discussionsupporting

confidence: 84%

“…Breath volatile organic compound (VOC) profiling can distinguish lung cancer patients from healthy controls with a high degree of sensitivity and specificity [5]. More than 4,000 VOCs have been found in exhaled breath, generated mainly from endogenous biochemical pathways including those of lipid peroxidation [15][16][17][18][19][20][21]. Techniques used for VOC analysis range from gas chromatography-mass spectrometry and ion mobility spectroscopy to colorimetric and gas sensors.…”

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confidence: 99%

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A breath test for malignant mesothelioma using an electronic nose

et al. 2011

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Malignant mesothelioma (MM) is a rare tumour which is difficult to diagnose in its early stages. Earlier detection of MM could potentially improve survival. Exhaled breath sampling of volatile organic compounds (VOCs) using a carbon polymer array (CPA) electronic nose recognises specific breath profiles characteristic of different diseases, and can distinguish between patients with lung cancer and controls. With MM, the potential confounding effect of other asbestos-related diseases (ARDs) needs to be considered. We hypothesised that as CPA electronic nose would distinguish patients with MM, patients with benign ARDs, and controls with high sensitivity and specificity.20 MM, 18 ARD and 42 control subjects participated in a cross-sectional, case-control study. Breath samples were analysed using the Cyranose 320 (Smiths Detection, Pasadena, CA, USA), using canonical discriminant analysis and principal component reduction.10 MM subjects created the training set. Smell prints from 10 new MM patients were distinguished from control subjects with an accuracy of 95%. Patients with MM, ARDs and control subjects were correctly identified in 88% of cases.Exhaled breath VOC profiling can accurately distinguish between patients with MM, ARDs and controls using a CPA electronic nose. This could eventually translate into a screening tool for high-risk populations.

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Section: Discussionsupporting

confidence: 84%

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confidence: 99%

A breath test for malignant mesothelioma using an electronic nose

et al. 2011

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“…Factors affecting the great variability in the composition of human breath include physical condition, general health of the subject, food intake, environmental influences and overall lifestyle (Amann et al, 2004;Libardoni et al, 2006). (Wehinger et al, 2007), acetaldehyde , heptanal (Phillips et al, 1999a,b;Deng et al, 2004a,b;Phillips et al, 2006); hexanal (Phillips et al, 1999a,b;Deng et al, 2004a,b) Ketones 1-Phenylethanone (Phillips et al, 1999a,b) Hydrocarbons Benzene (Yu et al, 2005;Phillips et al, 1999a,b;Poli et al, 2005); toluene (Poli et al, 2005); styrene (Yu et al, 2005;Phillips et al, 1999a,b;Poli et al, 2005); xylenes isomers (Phillips et al, 1999a,b;Poli et al, 2005); trimethylbenzenes isomers (Phillips et al, 1999a,b;Poli et al, 2005); propylbenzene (Yu et al, 2005;Phillips et al, 1999a,b); ethylbenzene (Poli et al, 2005) 2-Methylheptane (Phillips et al, 1999a,b); 3-methylnonane (Phillips et al, 1999a,b); 3-methyloctane (Phillips et al, 1999a,b); 2-methylpentane (Poli et al, 2005); 2,2,4,6,6-pentamethylheptane (Phillips et al, 1999a,b;Poli et al, 2005); 2,4-dimethylheptane (Phillips et al, 1999a,b); pentane (Poli et al, 2005); heptane (Poli et al, 2005); octane (Poli et al, 2005); decane (Yu et al, 2005;Phillips et al, 1999a,b;Poli et al, 2005); undecane (Yu et al, 2005;Phillips et al, 1999a,b); methylcyclopentane (Phillips et al, 1999a,b); isoprene (Phillips et al, 1999a,b;…”

Section: Endogenous Volatile Markers and Their Clinical Applicationsmentioning

confidence: 99%

Human exhaled air analytics: biomarkers of diseases

Buszewski

Kęsy

Ligor

et al. 2007

Biomedical Chromatography

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Over the last few years, breath analysis for the routine monitoring of metabolic disorders has attracted a considerable amount of scientific interest, especially since breath sampling is a non-invasive technique, totally painless and agreeable to patients. The investigation of human breath samples with various analytical methods has shown a correlation between the concentration patterns of volatile organic compounds (VOCs) and the occurrence of certain diseases. It has been demonstrated that modern analytical instruments allow the determination of many compounds found in human breath both in normal and anomalous concentrations. The composition of exhaled breath in patients with, for example, lung cancer, inflammatory lung disease, hepatic or renal dysfunction and diabetes contains valuable information. Furthermore, the detection and quantification of oxidative stress, and its monitoring during surgery based on composition of exhaled breath, have made considerable progress. This paper gives an overview of the analytical techniques used for sample collection, preconcentration and analysis of human breath composition. The diagnostic potential of different disease-marking substances in human breath for a selection of diseases and the clinical applications of breath analysis are discussed.

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“…The technique avoids sample preconcentration steps and some other disadvantages of offline GC measurements. It is widely used today in a variety of fields, including the direct online analysis of VOCs in breath samples in medical diagnostics and disease screening [74][75][76][77][78][79]. In this study, through a homemade online breath sampling device, VOC levels in air inhaled and exhaled by healthy test subjects were measured in real-time by proton transfer reaction time-of-flight mass spectrometry (PTR-TOF-MS), and thus immediately obtained respiratory AFs from the differences in VOC concentrations between the inhaled and exhaled air.…”

Section: Introductionmentioning

confidence: 99%