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
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