Evidence map›Paper›PMID 39226187›Full record

ArticleInterdisciplinary cardiovascular and thoracic surgery2024

Breathomics: may it become an affordable, new tool for early diagnosis of non-small-cell lung cancer? An exploratory study on a cohort of 60 patients.

Debora Brascia, Giulia De Iaco, Teodora Panza, Francesca Signore, Graziana Carleo, Wenzhe Zang, Ruchi Sharma, Pamela Riahi, Jared Scott, Xudong Fan and 1 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Interdisciplinary cardiovascular and thoracic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06034730 (Breathomics), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT06034730 completednot on this map

Breathomics: May it Become an Affordable, New Tool for Early Diagnosis and Screening of Lung Cancer? An Exploratory Study on a Cohort of 60 Patients

TypeobservationalSponsorAzienda Ospedaliero-Universitaria Consorziale Policlinico di BariRan2021 to 2023Enrolled60ConditionsLung CancerArmsPortable GC device for brath analysis
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Debora BrasciaDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.ORCID 0000-0003-0860-1647
Giulia De IacoThoracic Surgery Unit, Department of Precision and Regenerative Medicine and Jonic Area, University Hospital of Bari, Bari, Italy.
Teodora PanzaThoracic Surgery Unit, Department of Precision and Regenerative Medicine and Jonic Area, University Hospital of Bari, Bari, Italy.
Francesca SignoreThoracic Surgery Unit, Department of Precision and Regenerative Medicine and Jonic Area, University Hospital of Bari, Bari, Italy.
Graziana CarleoThoracic Surgery Unit, Department of Precision and Regenerative Medicine and Jonic Area, University Hospital of Bari, Bari, Italy.
Wenzhe ZangDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Ruchi SharmaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Pamela RiahiDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Jared ScottDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Xudong FanDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Giuseppe MarulliDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAnalysis of breath, specifically the patterns of volatile organic compounds (VOCs), has shown the potential to distinguish between patients with lung cancer (LC) and healthy individuals (HC). However, the current technology relies on complex, expensive and low throughput analytical platforms, which provide an offline response, making it unsuitable for mass screening. A new portable device has been developed to enable fast and on-site LC diagnosis, and its reliability is being tested.

methodsBreath samples were collected from patients with histologically proven non-small-cell lung cancer (NSCLC) and healthy controls using Tedlar bags and a Nafion filter attached to a one-way mouthpiece. These samples were then analysed using an automated micro portable gas chromatography device that was developed in-house. The device consisted of a thermal desorption tube, thermal injector, separation column, photoionization detector, as well as other accessories such as pumps, valves and a helium cartridge. The resulting chromatograms were analysed using both chemometrics and machine learning techniques.

resultsThirty NSCLC patients and 30 HC entered the study. After a training set (20 NSCLC and 20 HC) and a testing set (10 NSCLC and 10 HC), an overall specificity of 83.3%, a sensitivity of 86.7% and an accuracy of 85.0% to identify NSCLC patients were found based on 3 VOCs.

conclusionsThese results are a significant step towards creating a low-cost, user-friendly and accessible tool for rapid on-site LC screening. CLINICAL REGISTRATION NUMBER: ClinicalTrials.gov Identifier: NCT06034730.

Indexed as

BreathomicGas chromatographyNon-small-cell lung cancerScreeningVolatile organic compounds

Identifiers

PMID39226187
PMCPMC11379464

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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.