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RecruitingNCT06988943

Early Intervention Strategies for Lung Cancer

Construction and Evaluation of a Hospital-Community Health Collaboration Model Empowered by Digital Technology for Lung Cancer Screening

Status
Recruiting
Phase
N/A
Study type
Interventional
Enrollment
16,000 (estimated)
Sponsor
The First Affiliated Hospital of Guangzhou Medical University · Academic / Other
Sex
All
Age
40 Years – 74 Years
Healthy volunteers
Accepted

Summary

Low-dose CT (LDCT)can detect and treat lung cancer earlier and more quickly, while expanded screening coverage helps reduce the incidence and mortality of respiratory diseases such as lung cancer. This study aims to conduct a single-arm cluster randomized trial of digitally enabled LDCT in Guangzhou to assess its intervention effectiveness and cost-effectiveness.

Detailed description

This study uses a single-arm design to assign community health service centers in two districts of Guangzhou (Liwan and Baiyun) to the intervention group. A historical self-comparison design is employed. The intervention measures utilize a digital empowerment model for lung cancer screening, which includes the following components: ① Digital health platform: Each street and community health center manages resident information through the Lung Health mini-program; ② AI-based full-lung model reading system: Using artificial intelligence technology to assist in interpreting CT images; ③ Low-dose CT screening: Low-dose CT screening is conducted at primary healthcare institutions, and patients with detected lung nodules are referred to hospitals for further examination. The sampling method used is Probability Proportional to Size (PPS), with an expected sample size of 16000. Participants will complete the "Lung Cancer Health Questionnaire" to collect individual-level confounding factors. Screening data will be collected through the "Fei'anxin" mini-program, and diagnostic data will be provided by designated hospitals and the First Affiliated Hospital of Guangzhou Medical University. The primary outcome of the study is the proportion of early-stage lung cancer in the screening population, defined as the number of early-stage lung cancer cases divided by the total number of people screened. An economic evaluation of the lung cancer CT screening will also be conducted.

Conditions

Interventions

TypeNameDescription
DEVICELow-dose CT screeningLow-dose CT screening is conducted at primary healthcare institutions, and patients with detected lung nodules are referred to hospitals for further examination
DEVICEAI full-lung model interpretation systemUsing artificial intelligence technology to assist in the interpretation of CT images
DEVICEDigital Health PlatformCommunity health centers and streets in Guangzhou use a program called "Fei Anxin" to manage residents' information in a unified way

Timeline

Start date
2024-06-25
Primary completion
2025-06-01
Completion
2025-06-01
First posted
2025-05-25
Last updated
2025-05-30

Locations

1 site across 1 country: China

Source: ClinicalTrials.gov record NCT06988943. Inclusion in this directory is not an endorsement.