Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 223-229 |
| Number of pages | 7 |
| Journal | Lung cancer |
| Volume | 125 |
| DOIs | |
| Publication status | Published - 1 Nov 2018 |
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Keywords
- UT-Hybrid-D
- Electronic nose
- Exhaled breath analysis
- Lung cancer
- Diagnostic test
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Multi-centre prospective study on diagnosing subtypes of lung cancer by exhaled-breath analysis. / Kort, S. (Corresponding Author); Tiggeloven, M. M.; Brusse-Keizer, M.; Gerritsen, J. W.; Schouwink, J. H.; Citgez, E.; de Jongh, F. H.C.; Samii, S.; van der Maten, J.; van den Bogart, M.; van der Palen, J.
In: Lung cancer, Vol. 125, 01.11.2018, p. 223-229.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Multi-centre prospective study on diagnosing subtypes of lung cancer by exhaled-breath analysis
AU - Kort, S.
AU - Tiggeloven, M. M.
AU - Brusse-Keizer, M.
AU - Gerritsen, J. W.
AU - Schouwink, J. H.
AU - Citgez, E.
AU - de Jongh, F. H.C.
AU - Samii, S.
AU - van der Maten, J.
AU - van den Bogart, M.
AU - van der Palen, J.
N1 - Elsevier deal
PY - 2018/11/1
Y1 - 2018/11/1
N2 - Objectives: Lung cancer is a leading cause of mortality. Exhaled-breath analysis of volatile organic compounds (VOC's) might detect lung cancer early in the course of the disease, which may improve outcomes. Subtyping lung cancers could be helpful in further clinical decisions. Materials and methods: In a prospective, multi-centre study, using 10 electronic nose devices, 144 subjects diagnosed with NSCLC and 146 healthy subjects, including subjects considered negative for NSCLC after investigation, breathed into the Aeonose™ (The eNose Company, Zutphen, Netherlands). Also, analyses into subtypes of NSCLC, such as adenocarcinoma (AC) and squamous cell carcinoma (SCC), and analyses of patients with small cell lung cancer (SCLC) were performed. Results: Choosing a cut-off point to predominantly rule out cancer resulted for NSCLC in a sensitivity of 94.4%, a specificity of 32.9%, a positive predictive value of 58.1%, a negative predictive value (NPV) of 85.7%, and an area under the curve (AUC) of 0.76. For AC sensitivity, PPV, NPV, and AUC were 81.5%, 56.4%, 79.5%, and 0.74, respectively, while for SCC these numbers were 80.8%, 45.7%, 93.0%, and 0.77, respectively. SCLC could be ruled out with a sensitivity of 88.9% and an NPV of 96.8% with an AUC of 0.86. Conclusion: Electronic nose technology with the Aeonose™ can play an important role in rapidly excluding lung cancer due to the high negative predictive value for various, but not all types of lung cancer. Patients showing positive breath tests should still be subjected to further diagnostic testing.
AB - Objectives: Lung cancer is a leading cause of mortality. Exhaled-breath analysis of volatile organic compounds (VOC's) might detect lung cancer early in the course of the disease, which may improve outcomes. Subtyping lung cancers could be helpful in further clinical decisions. Materials and methods: In a prospective, multi-centre study, using 10 electronic nose devices, 144 subjects diagnosed with NSCLC and 146 healthy subjects, including subjects considered negative for NSCLC after investigation, breathed into the Aeonose™ (The eNose Company, Zutphen, Netherlands). Also, analyses into subtypes of NSCLC, such as adenocarcinoma (AC) and squamous cell carcinoma (SCC), and analyses of patients with small cell lung cancer (SCLC) were performed. Results: Choosing a cut-off point to predominantly rule out cancer resulted for NSCLC in a sensitivity of 94.4%, a specificity of 32.9%, a positive predictive value of 58.1%, a negative predictive value (NPV) of 85.7%, and an area under the curve (AUC) of 0.76. For AC sensitivity, PPV, NPV, and AUC were 81.5%, 56.4%, 79.5%, and 0.74, respectively, while for SCC these numbers were 80.8%, 45.7%, 93.0%, and 0.77, respectively. SCLC could be ruled out with a sensitivity of 88.9% and an NPV of 96.8% with an AUC of 0.86. Conclusion: Electronic nose technology with the Aeonose™ can play an important role in rapidly excluding lung cancer due to the high negative predictive value for various, but not all types of lung cancer. Patients showing positive breath tests should still be subjected to further diagnostic testing.
KW - UT-Hybrid-D
KW - Electronic nose
KW - Exhaled breath analysis
KW - Lung cancer
KW - Diagnostic test
U2 - 10.1016/j.lungcan.2018.09.022
DO - 10.1016/j.lungcan.2018.09.022
M3 - Article
C2 - 30429025
VL - 125
SP - 223
EP - 229
JO - Lung cancer
JF - Lung cancer
SN - 0169-5002
ER -