Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Exhaled breath analysis for lung cancer detection using ion mobility spectrometry.

PloS one - 1 Jan 2014

Handa Hiroshi, Usuba Ayano, Maddula Sasidhar, Baumbach Jörg Ingo, Mineshita Masamichi, Miyazawa Teruomi

Abstract excerpt

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...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Adenocarcinoma
Share to Alkanes
Share to Breath Tests

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Decision Trees

Share to ErbB Receptors

Share to Smoking

Share to Spectrum Analysis

Share to Volatile Organic Compounds

Source

Open in PubMed Open full text

Identifiers

PMID: 25490772
DOI: 10.1371/journal.pone.0114555
PMCID: PMC4260864

Genes

EGFR

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-25490772-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 8 closest

Exhaled breath analysis for lung cancer detection using ion mobility spectrometry.PMID 25490772Read ↗

Revolutionizing Lung Cancer Detection: Evaluating AI Models for VOC Analysis and Unveiling Key Exhaled BiomarkersSemantic proximity Read ↗

Machine Learning-Enabled Diagnosis of Viral Respiratory Infections from Exhaled Volatile Organic Compound AnalysisSemantic proximity Read ↗

Detection of Lung Cancer and EGFR Mutation by Electronic Nose System.Semantic proximity Read ↗

Exhaled volatile organic compounds for phenotyping chronic obstructive pulmonary disease: a cross-sectional study.Semantic proximity Read ↗

Breath Volatile Flux Reveals Age-Dependent Metabolic Markers for Breast Cancer DetectionSemantic proximity Read ↗

Machine Learning Analysis of Volatolomic Profiles in Breath Can Identify Non-invasive Biomarkers of Liver DiseaseSemantic proximity Read ↗

Exhaled Volatile Organic Compounds as Non-Invasive Biomarkers for the Diagnosis, Phenotyping, and Treatment Response Prediction in AsthmaSemantic proximity Read ↗

Exploring AI tools and multi-omics for precision medicine in lung cancer therapy.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.