Trial reportAmerican journal of respiratory and critical care medicine2005
Detection of lung cancer by sensor array analyses of exhaled breath.
Trial report in American journal of respiratory and critical care medicine, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01660087 (Diagnosis of Lung Cancer From Exhaled Breath With Silicon Biophotonic Device.), which is not on this map. Cited by 133 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Diagnosis of Lung Cancer From Exhaled Breath With Silicon Biophotonic Device.
Who cites it
133 citing papers in PubMed, 6 syntheses or guidelines pooled it, 603 citations in OpenAlex.
- eNose technologies in the detection of cancer: a systematic review and meta-analysis.The oncologist · 2026Pooled it
- Diagnostic Performance of Electronic Noses in Cancer Diagnoses Using Exhaled Breath: A Systematic Review and Meta-analysis.JAMA network open · 2022Pooled it
- Pooled it
- Detection of cancer through exhaled breath: a systematic review.Oncotarget · 2015Pooled it
- Screening for lung cancer.The Cochrane database of systematic reviews · 2013Pooled it
- Clinical use of exhaled volatile organic compounds in pulmonary diseases: a systematic review.Respiratory research · 2012Pooled it
- Exhaled breath analysis with a colorimetric sensor array for the identification and characterization of lung cancer.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2012Trial
- Artificial Olfactory System Enabled by Ultralow Chemical Sensing Variations of 1D SnOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- The electronic nose in lung cancer diagnostics: a systematic review and meta-analysis.ERJ open research · 2025Article
- Designing Bimetallic Sensors for Acetone Biomarker Detection.ACS omega · 2025Article
- Research hotspots and frontiers of application of mass spectrometry breath test in respiratory diseases.Frontiers in medicine · 2025Review
- The human volatilome meets cancer diagnostics: past, present, and future of noninvasive applications.Metabolomics : Official journal of the Metabolomic Society · 2024Review
- Electronic Nose Analysis of Exhaled Breath Volatile Organic Compound Profiles during Normoxia, Hypoxia, and Hyperoxia.Molecules (Basel, Switzerland) · 2024Article
- Electronic Noses: From Gas-Sensitive Components and Practical Applications to Data Processing.Sensors (Basel, Switzerland) · 2024Review
- Cross-site validation of lung cancer diagnosis by electronic nose with deep learning: a multicenter prospective study.Respiratory research · 2024Article
- Protein Corona Sensor Array Nanosystem for Detection of Coronary Artery Disease.Small (Weinheim an der Bergstrasse, Germany) · 2024Article
- Breath Analysis for Lung Cancer Early Detection-A Clinical Study.Metabolites · 2023Article
- Smart Sensors and Microtechnologies in the Precision Medicine Approach against Lung Cancer.Pharmaceuticals (Basel, Switzerland) · 2023Review
- Smelling the Disease: Diagnostic Potential of Breath Analysis.Molecular diagnosis & therapy · 2023Review
- Regulating the Electron Depletion Layer of Au/VNanomaterials (Basel, Switzerland) · 2023Article
73 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
Abstract
rationaleElectronic noses are successfully used in commercial applications, including detection and analysis of volatile organic compounds in the food industry.
objectivesWe hypothesized that the electronic nose could identify and discriminate between lung diseases, especially bronchogenic carcinoma.
methodsIn a discovery and training phase, exhaled breath of 14 individuals with bronchogenic carcinoma and 45 healthy control subjects or control subjects without cancer was analyzed. Principal components and canonic discriminant analysis of the sensor data was used to determine whether exhaled gases could discriminate between cancer and noncancer. Discrimination between classes was performed using Mahalanobis distance. Support vector machine analysis was used to create and apply a cancer prediction model prospectively in a separate group of 76 individuals, 14 with and 62 without cancer. MAIN
resultsPrincipal components and canonic discriminant analysis demonstrated discrimination between samples from patients with lung cancer and those from other groups. In the validation study, the electronic nose had 71.4% sensitivity and 91.9% specificity for detecting lung cancer; positive and negative predictive values were 66.6 and 93.4%, respectively. In this population with a lung cancer prevalence of 18%, positive and negative predictive values were 66.6 and 94.5%, respectively.
conclusionThe exhaled breath of patients with lung cancer has distinct characteristics that can be identified with an electronic nose. The results provide feasibility to the concept of using the electronic nose for managing and detecting lung cancer.
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What OpenQuestion holds
Registered trials
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.