Using Breath Molecules to Help Identify Several Lung Diseases
Studies whether exhaled breath molecules can help identify several lung diseases in adults.
Plain-language title generated from the registry record
Registry title: Identification of Multiple Pulmonary Diseases Using Volatile Organic Compounds Biomarkers in Human Exhaled Breath
Key facts
- Where
- Guangzhou, ChinaSee the site
AI summary: who the study is looking for
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for adults with a lung disease that has a clear clinical diagnosis and CT scan images. Breath samples are used to test a new diagnostic model.
- Age
- 18 to 100 years
- Sex
- All sexes can join.
- Disease stage
- A lung disease that meets the CT imaging diagnostic criteria and has a clear clinical diagnosis.
Main reasons for not taking part
- Pregnant women
- History of cancer other than lung disease
- Organ transplant, or non-autologous (allogeneic) bone marrow or stem cell transplant
- Other severe organic diseases or mental illnesses
- Metabolic diseases such as diabetes or hyperlipidemia
Read by machine on 12 November 2026.
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 100 years old?
Source: NCT06528418, who can take part
Where in China
- The First Affiliated Hospital of Guangzhou Medical UniversityGuangzhou, ChinaContact: Hengrui Liang, MDTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- ChromX Health
- Trial code
- NCT06528418
- Record updated
- 26 March 2025
- Original description
The goal of this observational study is to develop an advanced expiratory algorithm model utilizing exhaled breath volatile organic compound (VOC) marker molecules. This model aims to accurately diagnose mutiple pulmonary diseases. The primary objectives it strives to accomplish are:Read full original descriptionShow less
Exploration and Study on the Identification of Various Pulmonary Diseases Using Volatile Organic Compounds Biomarkers in Human Exhaled Breath
The goal of this observational study is to develop an advanced expiratory algorithm model utilizing exhaled breath volatile organic compound (VOC) marker molecules. This model aims to accurately diagnose mutiple pulmonary diseases. The primary objectives it strives to accomplish are:
1. To assess the diagnostic accuracy of an exhaled breath VOC-assisted diagnostic artificial intelligence (AI) model in diagnose several common pulmonary diseases. 2. To assess the diagnostic accuracy of an exhaled breath VOC-assisted diagnostic artificial intelligence (AI) model in diagnose more pulmonary diseases.
Inclusion: Males or females, age must be 18 years old or above; Patients must meet the CT imaging diagnostic criteria for different lung diseases, and patients must be able to provide electronic versions of CT image data; Patients must have a clear clinical diagnosis; All participants must sign a written informed consent form.
Exclusion: Individuals with a history of cancer other than lung disease; Individuals with other severe organic diseases or mental illnesses; Individuals with metabolic diseases such as diabetes, hyperlipidemia, etc; Any other condition that researchers deem unsuitable for participation in this clinical trial; Pregnant women; Individuals who have undergone organ transplants or non-autologous (allogeneic) bone marrow or stem cell transplants.