Early Intervention Strategies for Lung Cancer
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Low-dose CT screening, AI full-lung model interpretation system, Digital Health Platform.
- Who it may be relevant to
- Registry conditions: Respiratory Tract Neoplasms, Thoracic Neoplasms, Neoplasms by Site, Neoplasms. Basic parameters: 40 years — 74 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Official title
Construction and Evaluation of a Hospital-Community Health Collaboration Model Empowered by Digital Technology for Lung Cancer Screening
Overview
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.
Interventions
- Device 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 - Device AI full-lung model interpretation system
Using artificial intelligence technology to assist in the interpretation of CT images - Device Digital Health Platform
Community health centers and streets in Guangzhou use a program called "Fei Anxin" to manage residents' information in a unified way
Primary outcome measures
- The early diagnosis rate of lung cancer [Time frame: Within 1 year after the intervention is implemented]
Secondary outcome measures (10)
- The number of participants in lung cancer screening [Time frame: Within 1 year after the intervention is implemented]
- Number of individuals with positive screening results [Time frame: Within one year after the intervention is implemented]
- 3-month follow-up rate. [Time frame: Within three months after the intervention is implemented]
- One-year follow-up rate [Time frame: Within 1 year after the intervention is implemented]
- Diagnosis rate [Time frame: Within 1 year after the intervention is implemented]
- False positive rate for nodules [Time frame: Within 1 year after the intervention is implemented]
- Positive predictive value for nodules [Time frame: Within 1 year after the intervention is implemented]
- Average time to read CT images [Time frame: Within 1 year after the intervention is implemented]
- CT screening complications [Time frame: Within 1 year after the intervention is implemented]
- Complications of diagnostic tests [Time frame: Within 1 year after the intervention is implemented]
Eligibility criteria
1.Community Health Service Centers (Cluster Level)
- 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.
- 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)
- 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.
- 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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- N/A
- Model
- Single group
- Masking
- Open label
- Primary purpose
- Screening
Study locations
China · 1 center
- Department of Cardiothoracic Surgery, the First Affiliated Hospital of Guangzhou Medical C — Guangzhou
Identifiers
NCT: NCT06988943 · ES-2024-193-01-001