Early intervention strategies for lung cancer detection
Construction and Evaluation of a Hospital-Community Health Collaboration Model Empowered by Digital Technology for Lung Cancer Screening
This study is testing if using low-dose CT scans in community health centers can help find lung cancer earlier in people aged 40-75 who don't have a history of the disease.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 16000 (estimated) |
| Ages | 40 Years to 74 Years |
| Sex | All |
| Sponsor | The First Affiliated Hospital of Guangzhou Medical University Academic / other |
| Locations | 1 site (Guangzhou, Guangdong) |
| Trial ID | NCT06988943 on ClinicalTrials.gov |
What this trial studies
This study evaluates the effectiveness and cost-effectiveness of low-dose CT (LDCT) screening for lung cancer in community health service centers in Guangzhou. It employs a single-arm cluster randomized design, utilizing a digital health platform and AI technology to enhance the screening process. Participants aged 40-75, without a history of lung cancer, will be screened for early-stage lung cancer, with data collected through a dedicated mini-program. The study aims to improve early detection rates and assess the economic impact of the screening intervention.
Who should consider this trial
Good fit: Ideal candidates are community residents aged 40-75 who have no prior history of lung cancer and have not undergone screening in the last three months.
Not a fit: Patients with a known history of lung cancer or those who have recently been screened may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to earlier detection and treatment of lung cancer, potentially reducing mortality rates.
How similar studies have performed: Other studies have shown promising results with low-dose CT screening for lung cancer, indicating potential success for this approach.
Eligibility criteria
Show full inclusion / exclusion criteria
1.Community Health Service Centers (Cluster Level) 1. Inclusion Criteria The community health service center must be located within one of the 11 districts of Guangzhou. The center must manage a population of over 10,000 elderly individuals. The center should be equipped with at least one CT machine and have qualified medical personnel, such as radiologists, radiologic technicians, and nursing staff. 2. Exclusion Criteria Community health centers currently participating in other public health projects or studies that may affect screening results. Community health service centers where researchers cannot collect data or conduct follow-up. 2\. Screening Subjects (Individual Level) 1. Inclusion Criteria Aged 40-75 years. Residing in the community participating in the study for a long time. No known history of lung cancer and has not undergone lung cancer screening in the past three months. Able to understand and willing to sign the informed consent form, and able to participate in long-term follow-up. 2. Exclusion Criteria Individuals diagnosed with lung cancer. Individuals with severe other health issues that make them unsuitable for CT imaging. Individuals unable to understand the study protocol or who cannot provide informed consent due to cognitive impairments. Individuals participating in other clinical trials that may affect the results of this study. Individuals unable to undergo follow-up.
Where this trial is running
Guangzhou, Guangdong
- Department of Cardiothoracic Surgery, the First Affiliated Hospital of Guangzhou Medical College — Guangzhou, Guangdong, China (Recruiting)
Study contacts
- Principal investigator: Jianxing He, MD — Department of Cardiothoracic Surgery, the First Affiliated Hospital of Guangzhou Medical College
- Study coordinator: Jianxing He, MD
- Email: drjianxing.he@gmail.com
- Phone: 86-20-83337792
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.