Non-invasive diagnosis of liver diseases by breath analysis using an optimized ion-molecule reaction-mass spectrometry approach: a pilot study
Breath composition is altered in liver diseases. We tested if ion-molecule-reaction mass spectrometry (IMR-MS) combined with a new statistical modality improves the diagnostic accuracy of breath analysis in liver diseases. We analysed 114 molecules in the breath of 126 individuals (healthy controls,...
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| Hauptverfasser: | , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
15 Feb 2010
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| In: |
Biomarkers
Year: 2010, Jahrgang: 15, Heft: 4, Pages: 297-306 |
| ISSN: | 1366-5804 |
| DOI: | 10.3109/13547501003624512 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.3109/13547501003624512
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| Verfasserangaben: | Gunda Millonig, Siegfried Praun, Michael Netzer, Christian Baumgartner, Albert Dornauer, Sebastian Mueller, Johannes Villinger & Wolfgang Vogel |
| Zusammenfassung: | Breath composition is altered in liver diseases. We tested if ion-molecule-reaction mass spectrometry (IMR-MS) combined with a new statistical modality improves the diagnostic accuracy of breath analysis in liver diseases. We analysed 114 molecules in the breath of 126 individuals (healthy controls, and patients with non-alcoholic and alcoholic fatty liver disease and liver cirrhosis) by IMR-MS. Characteristic exhalation patterns were identified for each group. Combining two to seven molecules in the new stacked feature ranking model reached a diagnostic accuracy (area under the curve) for individual liver diseases between 0.88 and 0.97. IMR-MS followed by sophisticated statistical analysis is a promising tool for liver diagnostics by breath analysis. |
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| Beschreibung: | Gesehen am 26.04.2023 |
| Beschreibung: | Online Resource |
| ISSN: | 1366-5804 |
| DOI: | 10.3109/13547501003624512 |