Dataset Information

Non-invasive breath analysis of pulmonary nodules.

ABSTRACT:

Introduction

The search for non-invasive diagnostic methods of lung cancer (LC) has led to new avenues of research, including the exploration of the exhaled breath. Previous studies have shown that LC can, in principle, be detected through exhaled-breath analysis. This study evaluated the potential of exhaled-breath analysis for the distinction of benign and malignant pulmonary nodules (PNs).

Methods

Breath samples were taken from 72 patients with PNs in a prospective trial. Profiles of volatile organic compounds were determined by (1) gas chromatography/mass spectrometry (GC-MS) combined with solid-phase microextraction and (2) a chemical nanoarray.

Results

Fifty-three PNs were malignant and 19 were benign with similar smoking histories and comorbidities. Nodule size (mean ± SD) was 2.7 ± 1.7 versus 1.6 ± 1.3 cm (p = 0.004), respectively. Within the malignant group, 47 were non-small-cell lung cancer and six were small-cell lung cancer. Thirty patients had early-stage disease and 23 had advanced disease. Gas chromatography/mass spectrometry analysis identified a significantly higher concentration of 1-octene in the breath of LC, and the nanoarray distinguished significantly between benign versus malignant PNs (p < 0.0001; accuracy 88 ± 3%), between adeno- and squamous-cell carcinomas [LINE SEPARATOR](p < 0.0001; 88 ± 3%) and between early stage and advanced disease (p < 0.0001; 88 ± 2%).

Conclusions

In this pilot study, breath analysis discriminated benign from malignant PNs in a high-risk cohort based on LC-related volatile organic compound profiles. Furthermore, it discriminated adeno- and squamous-cell carcinoma and between early versus advanced disease. Further studies are required to validate this noninvasive approach, using a larger cohort of patients with PNs detected by computed tomography.

SUBMITTER: Peled N

PROVIDER: S-EPMC3444531 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature

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Publications

Non-invasive breath analysis of pulmonary nodules.

Peled Nir N Hakim Meggie M Bunn Paul A PA Miller York E YE Kennedy Timothy C TC Mattei Jane J Mitchell John D JD Hirsch Fred R FR Haick Hossam H

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer 20121001 10

<h4>Introduction</h4>The search for non-invasive diagnostic methods of lung cancer (LC) has led to new avenues of research, including the exploration of the exhaled breath. Previous studies have shown that LC can, in principle, be detected through exhaled-breath analysis. This study evaluated the potential of exhaled-breath analysis for the distinction of benign and malignant pulmonary nodules (PNs).<h4>Methods</h4>Breath samples were taken from 72 patients with PNs in a prospective trial. Profi ...[more]

PMID: 22929969

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Project description:Background and Objective The increasingly widespread application of computed tomography (CT) in the screening and follow-up of patients with lung disease has concomitantly increased the detection rate of pulmonary nodules. Currently, minimally invasive thoracic surgery (MITS) has become the preferred method of surgery for patients with pulmonary ground-glass nodules (GGNs) due to its advantages minimal invasiveness and rapid recovery. However, target nodule identification during MITS is sometimes challenging due to the inherent characteristics of these nodules, especially when they are small and distant from the pleura. This review details the many methods used for the intraoperative localization of pulmonary nodules. Methods Literature published in the Cochrane Library, PubMed, ClinicalTrials, and China National Knowledge Infrastructure from 1990 to 2022 were searched and analyzed to obtain a comprehensive review of the different methods of identifying pulmonary nodules. Literature related to animal testing were excluded. Key Content and Findings An overview of the recent progress in the clinical methods for intraoperative localization of pulmonary nodules [including CT-guided percutaneous placement of markers; bronchoscopy-guided placement of markers; intraoperative ultrasonography; three-dimensional (3D) printing technology; artificial intelligence (AI); and intraoperative molecular imaging (IMI)] was conducted. The advantages and disadvantages, as well as the complications associated with existing research methods, were summarized to assist doctors in the development of optimized clinical strategies. Conclusions Clinicians can communicate with the multidisciplinary team and select the appropriate positioning method according to each patient’s individual situation and the available support of the equipment and technology of the institution. Certain non-invasive and specific identification methods may have clinical potential in pulmonary nodule localization in the future.

Dataset Information

Non-invasive breath analysis of pulmonary nodules.

Introduction

Methods

Results

Conclusions

Publications

Non-invasive breath analysis of pulmonary nodules.

Similar Datasets

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