ArticlePloS one2014
Exhaled breath analysis for lung cancer detection using ion mobility spectrometry.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 5 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
43 citing papers in PubMed, 5 syntheses or guidelines pooled it, 139 citations in OpenAlex.
- Pooled it
- Metabolic Biomarkers of Squamous Cell Carcinoma of the Aerodigestive Tract: A Systematic Review and Quality Assessment.Oxidative medicine and cellular longevity · 2020Pooled it
- Accuracy and Methodologic Challenges of Volatile Organic Compound-Based Exhaled Breath Tests for Cancer Diagnosis: A Systematic Review and Meta-analysis.JAMA oncology · 2019Pooled it
- Breath based volatile organic compounds in the detection of breast, lung, and colorectal cancers: A systematic review.Cancer biomarkers : section A of Disease markers · 2017Pooled it
- Detection of cancer through exhaled breath: a systematic review.Oncotarget · 2015Pooled it
- The Role of Breath Analysis in the Non-Invasive Early Diagnosis of Malignant Pleural Mesothelioma (MPM) and the Management of At-Risk Individuals.Molecules (Basel, Switzerland) · 2025Observational
- Exploring Exhaled Breath Analysis in Adults With Chronic Visceral Acid Sphingomyelinase Deficiency to Identify Potential Biomarkers of Pulmonary Involvement.Journal of inherited metabolic disease · 2025Article
- Breath Analysis via Surface Enhanced Raman Spectroscopy.ACS sensors · 2025Review
- Metabolomics in cancer detection: A review of techniques, biomarkers, and clinical utility.BioMedicine · 2025Review
- Utility, feasibility, and socio-demographic considerations in the diagnosis of bacterial RTI's by GC-IMS breath analysis.iScience · 2024Article
- Triboelectric Nanogenerators for Preventive Health Monitoring.Nanomaterials (Basel, Switzerland) · 2024Review
- A matrix-centered view of mass spectrometry platform innovation for volatilome research.Frontiers in molecular biosciences · 2024Review
- Breath Analysis for Lung Cancer Early Detection-A Clinical Study.Metabolites · 2023Article
- Diagnosis of Carcinogenic Pathologies through Breath Biomarkers: Present and Future Trends.Biomedicines · 2023Review
- Smelling the Disease: Diagnostic Potential of Breath Analysis.Molecular diagnosis & therapy · 2023Review
- Ion Mobility Mass Spectrometry (IM-MS) for Structural Biology: Insights Gained by Measuring Mass, Charge, and Collision Cross Section.Chemical reviews · 2023Review
- Non-Invasive Lung Cancer Diagnostics through Metabolites in Exhaled Breath: Influence of the Disease Variability and Comorbidities.Metabolites · 2023Article
- Non-invasive Exhaled Breath and Skin Analysis to Diagnose Lung Cancer: Study of Age Effect on Diagnostic Accuracy.ACS omega · 2022Article
- The Use of Breath Analysis in the Management of Lung Cancer: Is It Ready for Primetime?Current oncology (Toronto, Ont.) · 2022Review
- Exhaled Aldehydes as Biomarkers for Lung Diseases: A Narrative Review.Molecules (Basel, Switzerland) · 2022Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundConventional 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.
methodsThe 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.
resultsA 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%.
conclusionIn 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.