The DOI matches its Crossref record.
Volatile organic compounds in exhaled air from patients with lung cancer.
Abstract
Using a specially developed breath collection technique and computer-assisted gas chromatography/mass spectrometry (GC/MS), we have identified in the exhaled air of lung cancer patients several volatile organic compounds that appear to be associated with the disease. The GC/MS profiles of 12 samples from lung cancer patients and 17 control samples were analyzed by using general computerized statistical procedures to distinguish lung cancer patients from controls. The selected volatile compounds had sufficient diagnostic power in the GC/MS profiles to allow almost complete differentiation between the two groups in a limited patient population.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Electronic Nose: Current Status and Future Trends
Röck, F., Barsan, N., & Weimar, U. (2008) · Chemical Reviews · doi:10.1021/cr068121q · Cited by 1,437
Volatile Organic Compounds of Lung Cancer and Possible Biochemical Pathways
Hakim, M., Broza, Y. Y., Barash, O., Peled, N., Phillips, M., Amann, A., & Haick, H. (2012) · Chemical Reviews · doi:10.1021/cr300174a · Cited by 953
Carbon Nanotube Gas and Vapor Sensors
Kauffman, D. R., & Star, A. (2008) · Angewandte Chemie International Edition · doi:10.1002/anie.200704488 · Cited by 828
Detection of Lung Cancer With Volatile Markers in the Breatha
Phillips, M., Cataneo, R. N., Cummin, A. R. C., Gagliardi, A. J., Gleeson, K., Greenberg, J., Maxfield, R. A., & Rom, W. N. (2003) · Chest · doi:10.1378/chest.123.6.2115 · Cited by 567
Diagnostic Accuracy of Canine Scent Detection in Early- and Late-Stage Lung and Breast Cancers
McCulloch, M., Jezierski, T., Broffman, M., Hubbard, A., Turner, K., & Janecki, T. (2006) · Integrative Cancer Therapies · doi:10.1177/1534735405285096 · Cited by 493
Metadata
- Authors
- Gordon, S. M., Szidon, J. P., Krotoszynski, B. K., Gibbons, R. D., & O'Neill, H. J.
- Venue
- Clinical Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 1985-08-01
- Volume
- 31
- Issue
- 8
- Pages
- 1278-1282
- ISSN
- 0009-9147 (ISSN-L)
- 1530-8561
- OpenAlex
- W1892693836
- Cited by
- 366
- References
- 0
- FWCI
- 2.12
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Volatile organic compounds in exhaled air from patients with lung cancer. https://app.cochat.ai/papers/10.1093/clinchem/31.8.1278
- The paper
- Gordon, S. M., Szidon, J. P., Krotoszynski, B. K., Gibbons, R. D., & O'Neill, H. J. (1985). Volatile organic compounds in exhaled air from patients with lung cancer. Clinical Chemistry. https://doi.org/10.1093/clinchem/31.8.1278
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
