Prevalence and attributable health burden of chronic respiratory diseases, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.
GBD Chronic Respiratory Disease Collaborators
https://pubmed.ncbi.nlm.nih.gov/32526187Actively Recruiting
Age: 18Years - 100Years
All Genders
Healthy Volunteers
ID06528418
Exploration and Study on the Identification of Various Pulmonary Diseases Using Volatile Organic Compounds Biomarkers in Human Exhaled Breath
Led by ChromX Health · Updated on 2025-03-26
10000
Participants Needed
1
Research Sites
26 weeks
Total Duration
On this page
Sponsors
C
ChromX Health
Lead Sponsor
T
The First Affiliated Hospital of Guangzhou Medical University
Collaborating Sponsor
AI-Summary
What this Trial Is About
Researchers are studying how to use exhaled breath volatile organic compound (VOC) markers and artificial intelligence (AI) to diagnose multiple lung diseases. This observational study aims to develop an advanced AI model that helps identify various common and additional pulmonary diseases, including lung cancer, infections, COPD, bronchitis, fibrosis, and others. Participants will provide breath samples analyzed by Gas chromatography-mass spectrometry (GC-MS) and micro Gas Chromatography-photoionisation detector (μGC-PID) systems. The study includes people with lung disease diagnosed by CT scans and clinical evaluation, as well as individuals with no lung abnormalities on CT imaging. This cross-sectional study plans to enroll up to 10,000 participants. During the study, breath samples and clinical data including CT results will be collected and analyzed to assess the AI model's accuracy in diagnosing lung diseases. The primary outcome is the model's diagnostic accuracy over two years. Participants may undergo clinical diagnosis reviews, CT exams, and breath testing. The study runs until mid-2027 and includes healthy volunteers aged 18 to 100 years.
CONDITIONS
Brief Title
Identification of Multiple Pulmonary Diseases Using Volatile Organic Compounds Biomarkers in Human Exhaled Breath
Who Can Participate
Age: 18Years - 100Years
All Genders
Healthy Volunteers
Eligibility Criteria
You may qualify if you...
- Males or females, age must be 18 years old or above.
- Patients must meet the CT imaging diagnostic criteria for different lung diseases and provide electronic CT image data.
- Patients must have a clear clinical diagnosis.
- All participants must sign a written informed consent form.
You will not qualify if you...
- Pregnant women.
- Individuals with a history of cancer other than lung disease.
- Individuals who have undergone organ transplants or non-autologous bone marrow or stem cell transplants.
- Individuals with other severe organic diseases or mental illnesses.
- Individuals with metabolic diseases such as diabetes, hyperlipidemia, etc.
- Any other condition deemed unsuitable by researchers.
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
1
2
3
Your Study Journey
Screening
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Diagnostic Evaluation
Duration - Single point in time during participation
Participants provide exhaled breath samples that are analyzed using Gas chromatography-mass spectrometry and micro Gas Chromatography-photoionisation detector systems to detect volatile organic compounds. Clinical diagnostic results, CT examination data, and clinical data are collected to evaluate pulmonary diseases.
1 visit (in-person)
Long-term Monitoring
Duration - Up to 2 years
Participants are observed over a period to assess the diagnostic accuracy of the exhaled breath VOC-assisted diagnostic artificial intelligence model for multiple pulmonary diseases.
Visits as needed for clinical follow-up during the 2 years
Trial Site Locations
Total: 1 location
1
The First Affiliated Hospital of Guangzhou Medical University
Guangzhou, Guangdong, China, 510140
Actively Recruiting
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Research Team
H
Hengrui Liang, MD
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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Published Research Related To This Trial
Volatile Organic Compounds in Exhaled Breath as Fingerprints of Lung Cancer, Asthma and COPD.
Ileana Andreea Ratiu, Tomasz Ligor, Victor Bocos-Bintintan...
https://pubmed.ncbi.nlm.nih.gov/33374433Clinical use of exhaled volatile organic compounds in pulmonary diseases: a systematic review.
Kim D G van de Kant, Linda J T M van der Sande, Quirijn Jöbsis...
https://pubmed.ncbi.nlm.nih.gov/23259710Volatile organic compounds (VOC) in homes associated with asthma and lung function among adults in Northern Europe.
Juan Wang, Christer Janson, Thorarinn Gislason...
https://pubmed.ncbi.nlm.nih.gov/36690293Noninvasive detection of COPD and Lung Cancer through breath analysis using MOS Sensor array based e-nose.
Binson V A, M Subramoniam, Luke Mathew
https://pubmed.ncbi.nlm.nih.gov/34415806