Identification of Multiple Pulmonary Diseases Using Volatile Organic Compounds Biomarkers in Human Exhaled Breath

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-100
SponsorChromX Health

About this trial

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.

Eligibility criteria

Qualifiers

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.

Disqualifiers

Pregnant women.

Individuals with a history of cancer other than lung disease.

Individuals who have undergone organ transplants or non-autologous (allogeneic) bone marrow or stem cell transplants.

Individuals with other severe organic diseases or mental illnesses.

Trial design

Treatments tested in this trial

  • Gas chromatography-mass spectrometry(GC-MS) and micro Gas Chromatography-photoionisation detector (μGC-PID) system

Treatment groups

10,000 Participants
are divided into 2 treatment groups

Sponsors and collaborators

ChromX Health

Lead sponsor

The First Affiliated Hospital of Guangzhou Medical University

Collaborator

First People's Hospital of Foshan

Collaborator

Sichuan Cancer Hospital and Research Institute

Collaborator

Liwan District Central Hospital

Collaborator

Shanghai Chest Hospital

Collaborator

Peking Union Medical College Hospital

Collaborator

Guangzhou Development Zone Hospital

Collaborator

Huangpu District Hongshan Street Community Health Service Center

Collaborator

Huangpu District Chinese Medicine Hospital

Collaborator

Fifth Affiliated Hospital of Guangzhou Medical University

Collaborator

Huangpu District Jiufo Street Community Health Service Center

Collaborator

Huangpu District Xinlong Town Central Hospital

Collaborator

Huangpu District Yonghe Street Community Health Service Center

Collaborator

Huangpu District Lianhe Street Second Community Health Service Center

Collaborator