PT - JOURNAL ARTICLE AU - Olaf Anhenn AU - Thomas Rabis AU - Urte Sommerwerck AU - Gerhard Weinreich AU - Jörg-Ingo Baumbach AU - Isabella Kurth AU - Kaid Darwiche AU - Lutz Freitag AU - Helmut Teschler AU - Ulrich Costabel TI - Detection of differences in volatile organic compounds (VOCs) by ion mobility spectrometry (IMS) of exhaled breath in patients with interstitial lung diseases (ILDs) compared to healthy controls (HC) DP - 2011 Sep 01 TA - European Respiratory Journal PG - p4772 VI - 38 IP - Suppl 55 4099 - http://erj.ersjournals.com/content/38/Suppl_55/p4772.short 4100 - http://erj.ersjournals.com/content/38/Suppl_55/p4772.full SO - Eur Respir J2011 Sep 01; 38 AB - Introduction: ILDs comprise a heterogenous group of disorders involving the lung parenchyma. Rapid and accurate diagnosis is often complicated by the need of assessing the pathological changes in the lung parenchyma by bronchoalveolar lavage, transbronchial biopsies or open lung biopsy.Objectives: The aim of our study was to compare the pattern of VOCs in exhaled breath of patients with extrinsic allergic alveolitis (EAA), non-specific interstitial pneumonia (NSIP), idiopathic pulmonary fibrosis (IPF) or sarcoidosis (SA) to healthy controls (HC).Methods: Detection of VOCs in exhaled breath was performed by ion mobility spectrometry (IMS) coupled to a multi-capillary column (MCC) for pre-separation (MCC-IMS, B&S Analytik). ILD patients with EAA (n = 16), NSIP (n = 28), IPF (n = 26), SA (n = 21) were compared to HC (n = 39).Results: Overall 215 peaks could be detected in exhaled breath of patients and controls. The EAA and the HC groups differed in 115 peaks. The IPF and the HC groups differed in 26 peaks, the NSIP and HC groups in 63, the SA and HC groups in 3 peaks.Conclusions: IMS seems to be a promising technique to discriminate different ILDs from healthy controls. However, confirmation of our findings in a larger study population is needed. Also further investigations have to be undertaken, to address the question, whether different ILDs can be distinguished from one another by distinct peak patterns.