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Differentiation of chronic obstructive pulmonary disease (COPD) including lung cancer from healthy control group by breath analysis using ion mobility spectrometry
Authors:Michael Westhoff  Patrick Litterst  Sasidhar Maddula  Bertram Bödeker  Sven Rahmann  Antony N. Davies  Jorg Ingo Baumbach
Affiliation:1. Lung Clinic Hemer, Theo-Funccius-Str. 1, 58675, Hemer, Germany
2. Department Clinical Diagnostics, KIST Europe, Campus E 71, 66123, Saarbrücken, Germany
3. B&S Analytik GmbH, BioMedizinZentrumDortmund, Otto-Hahn-Str. 15, 44227, Dortmund, Germany
4. Bioinformatics for High-Throughput Technologies at the Chair of Algorithm Engineering, Computer Science Department, Technical University Dortmund, 44221, Dortmund, Germany
5. SERC, Sustainable Environment Research Centre, Department of Science and Sport, Faculty of Health, Sport and Science, University of Glamorgan, Wales, UK
Abstract:
Non-invasive methods with potential for diagnosis of lung diseases gain increasing interest. Within the present study the exhaled breath of 132 persons (97 Chronic obstructive pulmonary disease (COPD) patients [35 COPD without lung cancer, 62 COPD with lung cancer] and 35 healthy volunteers) was investigated using an Ion Mobility Spectrometer (IMS) coupled to a Multi-Capillary Column (MCC) without any pre-separation or pre-enrichment. One hundred four different peaks were considered within the IMS-Chromatograms of the 10 mL breath samples of both groups. A principal component analysis (PCA) of these 104 peaks identified a single analyte, that allowed a separation of the healthy persons and the COPD patients (with and without lung cancer). The sensitivity obtained was 60%, the specificity 91%, the positive predictive value 95%. The peak was characterized as cyclohexanone (CAS 108-94-1). Subsequent studies must validate the identity of the peak used for separation of the two groups with a greater population and external standards. Breath gas analysis using ion mobility spectrometry offers a chance of separating healthy persons and COPD patients using a single analyte at a defined concentration.
Keywords:
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