Differentiation of Benign and Malignant Pulmonary Nodules by Volatile Organic Compounds in Human Exhaled Breath
About this study
The goal of this observational study is to develop an advanced expiratory algorithm model utilizing exhaled breath volatile organic compound (VOC) markers. This model aims to accurately differentiate benign from malignant nodules in individuals harboring pulmonary nodules. 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 distinguishing benign and malignant pulmonary nodules. 2. To evaluate the diagnostic effectiveness of an AI model that employs exhaled breath VOC biomakers to identify specific types of malignant nodules, including lung adenocarcinoma, lung squamous cell carcinoma, and small cell lung cancer. 3. To explore and identify key characteristic VOCs combinations that are associated with EGFR site mutations in malignant nodules, further modeling and evaluating the classification performance. By utilizing this comprehensive approach, the study hopes to contribute significantly to early detection and accurate classification of pulmonary nodules, ultimately leading to improved patient care and treatment outcomes.
- Condition
- Pulmonary Nodules, Multiple, Pulmonary Nodules, Solitary, Lung Cancer
- Tested
- Gas chromatography-mass spectrometry(GC-MS) and micro Gas Chromatography-photoionisation detector (μGC-PID) system
- Sponsor
- ChromX Health
Who can join
- Age
- 18 to 80 years
- Sex
- All sexes
- Healthy volunteers
- Accepted
Inclusion 8
- Minimum age: 18 years
- Maximum age: 80 years
- Study condition: Pulmonary Nodules, Multiple, Pulmonary Nodules, Solitary, Lung Cancer
- 18-80 years old;
- Pulmonary nodules were detected through low-dose spiral CT, chest CT conventional scan, or high-resolution thin-layer CT examination, with a maximum diameter of 5-30 mm, including solid nodules and ground glass nodules;
- Patients require pulmonary nodule resection to define the type of nodule pathology;
- The Patients have not yet used any drugs for tumor treatment;
- Patients and/or family members are able to understand the research protocol and are willing to participate in this study, providing written informed consent.
Exclusion 12
- The maximum diameter of pulmonary nodules is greater than 30 mm;
- Patients are unable to determine the pathological diagnosis of pulmonary nodules after surgical resection or biopsy;
- Patients with recurrent lung cancer;
- Patients who have undergone lung transplantation or lobectomy;
- Individuals who currently or have a history of malignant tumors;
- Patients in the acute phase of inflammation or in need of intensive care in the above selected disease groups;
- Individuals with severe liver and kidney dysfunction;
- Mental illness patients (such as severe dementia, schizophrenia, severe depression, manic depressive psychosis, etc.);
- Confirmed HIV patients;
- Pregnant or lactating women;
- Patients or family members are unable to understand the conditions and objectives of this study.
- The patient is unwilling or unable to personally sign the informed consent form.
Where
15 sites, 15 recruiting
Peking Union Medical College Hospital
Beijing, Beijing Municipality, China
Sichuan Cancer Hospital
Chengdu, Sichuan, China
First People's Hospital of Foshan
Foshan, Guangdong, China
The First Affiliated Hospital of Guangzhou Medical University
Guangzhou, Guangdong, China
Liwan District Central Hospital
Guangzhou, Guangdong, China
Guangzhou Development Zone Hospital
Guangzhou, Guangdong, China
and 9 more sites on ClinicalTrials.gov
Contact
-
Hengrui Liang, MD
+86 15625064712 hengrui_liang@163.com
Potential match only. Final eligibility is determined by the study team.