RecruitingNCT06518655

Differentiation of Benign and Malignant Pulmonary Nodules by Volatile Organic Compounds in Human Exhaled Breath

Exploratory Study on the Identification of Benign and Malignant Pulmonary Nodules Using Volatile Organic Compounds in Human Exhaled Breath


Sponsor

ChromX Health

Enrollment

3,000 participants

Start Date

Jun 30, 2024

Study Type

OBSERVATIONAL

Conditions

Summary

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.


Eligibility

Min Age: 18 YearsMax Age: 80 Years

Inclusion Criteria5

  • 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 Criteria12

  • 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.

Interventions

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

Detection of volatile organic compound molecules in human exhaled breath by GC-MS and μGC-PID


Locations(15)

Peking Union Medical College Hospital

Beijing, Beijing Municipality, 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

Huangpu District Chinese Medicine Hospital

Guangzhou, Guangdong, China

Huangpu District Hongshan Street Community Health Service Center

Guangzhou, Guangdong, China

Huangpu District Jiufo Street Community Health Service Center

Guangzhou, Guangdong, China

Huangpu District Lianhe Street Second Community Health Service Center

Guangzhou, Guangdong, China

Huangpu District Xinlong Town Central Hospital

Guangzhou, Guangdong, China

Huangpu District Yonghe Street Community Health Service Center

Guangzhou, Guangdong, China

The Fifth Affiliated Hospital of Guangzhou Medical University

Guangzhou, Guangdong, China

Renmin Hospital of Wuhan University

Wuhan, Hubei, China

Shanghai Chest Hospital

Shanghai, Shanghai Municipality, China

Sichuan Cancer Hospital

Chengdu, Sichuan, China

View Full Details on ClinicalTrials.gov

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NCT06518655


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