TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Baumbach, Jörg
A1  - Handa, Hiroshi
A1  - Usuba, Ayano
A1  - Maddula, Sasidhar
A1  - Mineshita, Masamichi
A1  - Miyazawa, Teruomi
T1  - Exhaled breath analysis for lung cancer detection using ion mobility spectrometry
JF  - PLOS ONE
N2  - Background: Conventional methods for lung cancer detection including computed tomography (CT) and bronchoscopy are expensive and invasive. Thus, there is still a need for an optimal lung cancer detection technique. Methods: The exhaled breath of 50 patients with lung cancer histologically proven by bronchoscopic biopsy samples (32 adenocarcinomas, 10 squamous cell carcinomas, 8 small cell carcinomas), were analyzed using ion mobility spectrometry (IMS) and compared with 39 healthy volunteers. As a secondary assessment, we compared adenocarcinoma patients with and without epidermal growth factor receptor (EGFR) mutation. Results: A decision tree algorithm could separate patients with lung cancer including adenocarcinoma, squamous cell carcinoma and small cell carcinoma. One hundred-fifteen separated volatile organic compound (VOC) peaks were analyzed. Peak-2 noted as n-Dodecane using the IMS database was able to separate values with a sensitivity of 70.0% and a specificity of 89.7%. Incorporating a decision tree algorithm starting with n-Dodecane, a sensitivity of 76% and specificity of 100% was achieved. Comparing VOC peaks between adenocarcinoma and healthy subjects, n-Dodecane was able to separate values with a sensitivity of 81.3% and a specificity of 89.7%. Fourteen patients positive for EGFR mutation displayed a significantly higher n-Dodecane than for the 14 patients negative for EGFR (p<0.01), with a sensitivity of 85.7% and a specificity of 78.6%. Conclusion: In this prospective study, VOC peak patterns using a decision tree algorithm were useful in the detection of lung cancer. Moreover, n-Dodecane analysis from adenocarcinoma patients might be useful to discriminate the EGFR mutation.
KW  - ion mobility spectroscopy
KW  - computed tomography
Y1  - 2014
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-85
U6  - https://doi.org/10.1371/journal.pone.0114555
DO  - https://doi.org/10.1371/journal.pone.0114555
VL  - 9
IS  - 12
SP  - 1
EP  - 13
S1  - 13
PB  - PLOS
CY  - Lawrence, Kanada
ER  -