Advanced search
1 file | 754.67 KB

Detection of malignant pleural mesothelioma in exhaled breath by multicapillary column/ion mobility spectrometry (MCC/IMS)

Author
Organization
Abstract
Malignant pleural mesothelioma (MPM) is predominantly caused by previous asbestos exposure. Diagnosis often happens in advanced stages restricting any therapeutic perspectives. Early stage detection via breath analysis was explored using multicapillary column/ion mobility spectrometry (MCC/IMS) to detect volatile organic compounds (VOCs) in the exhaled breath of MPM patients in comparison to former occupational asbestos-exposed and non-exposed controls. Breath and background samples of 23 MPM patients, 22 asymptomatic former asbestos (AE(x)) workers and 21 healthy non-asbestos exposed persons were taken for analysis. After background correction, we performed a logistic least absolute shrinkage and selection operator (lasso) regression to select the most important VOCs, followed by receiver operating characteristic (ROC) analysis. MPM patients were discriminated from both controls with 87% sensitivity, 70% specificity and respective positive and negative predictive values of 61% and 91%. The overall accuracy was 76% and the area under the ROC-curve was 0.81. AEx individuals could be discriminated from MPM patients with 87% sensitivity, 86% specificity and respective positive and negative predictive values of 87% and 86%. The overall accuracy was 87% with an area under the ROC-curve of 0.86. Breath analysis by MCC/IMS allows MPM patients to be discriminated from controls and holds promise for further investigation as a screening tool for former asbestos-exposed persons at risk of developing MPM.
Keywords
mesothelioma, VOLATILE ORGANIC-COMPOUNDS, breath analysis, volatile organic compounds, asbestos, biomarker, LUNG-CANCER, ELECTRONIC NOSE, DIAGNOSIS, MANAGEMENT, SMOKING, ARRAY, TIME

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 754.67 KB

Citation

Please use this url to cite or link to this publication:

Chicago
Lamote, Kevin, Matthijs Vynck, Joris Van Cleemput, Olivier Thas, Kristiaan Nackaerts, and Jan Van Meerbeeck. 2016. “Detection of Malignant Pleural Mesothelioma in Exhaled Breath by Multicapillary Column/ion Mobility Spectrometry (MCC/IMS).” Journal of Breath Research 10 (4).
APA
Lamote, K., Vynck, M., Van Cleemput, J., Thas, O., Nackaerts, K., & Van Meerbeeck, J. (2016). Detection of malignant pleural mesothelioma in exhaled breath by multicapillary column/ion mobility spectrometry (MCC/IMS). JOURNAL OF BREATH RESEARCH, 10(4).
Vancouver
1.
Lamote K, Vynck M, Van Cleemput J, Thas O, Nackaerts K, Van Meerbeeck J. Detection of malignant pleural mesothelioma in exhaled breath by multicapillary column/ion mobility spectrometry (MCC/IMS). JOURNAL OF BREATH RESEARCH. 2016;10(4).
MLA
Lamote, Kevin et al. “Detection of Malignant Pleural Mesothelioma in Exhaled Breath by Multicapillary Column/ion Mobility Spectrometry (MCC/IMS).” JOURNAL OF BREATH RESEARCH 10.4 (2016): n. pag. Print.
@article{8075672,
  abstract     = {Malignant pleural mesothelioma (MPM) is predominantly caused by previous asbestos exposure. Diagnosis often happens in advanced stages restricting any therapeutic perspectives. Early stage detection via breath analysis was explored using multicapillary column/ion mobility spectrometry (MCC/IMS) to detect volatile organic compounds (VOCs) in the exhaled breath of MPM patients in comparison to former occupational asbestos-exposed and non-exposed controls. 
Breath and background samples of 23 MPM patients, 22 asymptomatic former asbestos (AE(x)) workers and 21 healthy non-asbestos exposed persons were taken for analysis. After background correction, we performed a logistic least absolute shrinkage and selection operator (lasso) regression to select the most important VOCs, followed by receiver operating characteristic (ROC) analysis. 
MPM patients were discriminated from both controls with 87% sensitivity, 70% specificity and respective positive and negative predictive values of 61% and 91%. The overall accuracy was 76% and the area under the ROC-curve was 0.81. AEx individuals could be discriminated from MPM patients with 87% sensitivity, 86% specificity and respective positive and negative predictive values of 87% and 86%. The overall accuracy was 87% with an area under the ROC-curve of 0.86. 
Breath analysis by MCC/IMS allows MPM patients to be discriminated from controls and holds promise for further investigation as a screening tool for former asbestos-exposed persons at risk of developing MPM.},
  articleno    = {046001},
  author       = {Lamote, Kevin and Vynck, Matthijs and Van Cleemput, Joris and Thas, Olivier and Nackaerts, Kristiaan and Van Meerbeeck, Jan},
  issn         = {1752-7155},
  journal      = {JOURNAL OF BREATH RESEARCH},
  keywords     = {mesothelioma,VOLATILE ORGANIC-COMPOUNDS,breath analysis,volatile organic compounds,asbestos,biomarker,LUNG-CANCER,ELECTRONIC NOSE,DIAGNOSIS,MANAGEMENT,SMOKING,ARRAY,TIME},
  language     = {eng},
  number       = {4},
  pages        = {9},
  title        = {Detection of malignant pleural mesothelioma in exhaled breath by multicapillary column/ion mobility spectrometry (MCC/IMS)},
  url          = {http://dx.doi.org/10.1088/1752-7155/10/4/046001},
  volume       = {10},
  year         = {2016},
}

Altmetric
View in Altmetric
Web of Science
Times cited: