Clinical trial · Interventional
Early Intervention Strategies for Lung Cancer
Construction and Evaluation of a Hospital-Community Health Collaboration Model Empowered by Digital Technology for Lung Cancer Screening
NCT06988943CI-TRIAL-00090361recruitingN/AClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (7)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Lung Diseases | — | UNRESOLVED | — |
| Lung Neoplasms | Lung Neoplasm | ONTOLOGY_EXACT | 0.98 |
| Neoplasms | Neoplasm | ONTOLOGY_EXACT | 0.90 |
| Neoplasms by Site | Neoplasm by Site | ONTOLOGY_EXACT | 0.98 |
| Respiratory Tract Diseases | — | UNRESOLVED | — |
| Respiratory Tract Neoplasms | Respiratory System Neoplasm | ALIAS | 0.90 |
| Thoracic Neoplasms | Thoracic Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (3)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| AI full-lung model interpretation system | Device | — | UNRESOLVED |
| Digital Health Platform | Device | — | UNRESOLVED |
| Low-dose CT screening | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- Digitally enabled low-dose CT screening Group
- interventionNames
- Device: Low-dose CT screening
- Device: AI full-lung model interpretation system
- Device: Digital Health Platform
Primary outcomes (1)
- measure
- The early diagnosis rate of lung cancer
- timeFrame
- Within 1 year after the intervention is implemented
Secondary outcomes (10)
- measure
- The number of participants in lung cancer screening
- timeFrame
- Within 1 year after the intervention is implemented
- measure
- Number of individuals with positive screening results
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 40 Years
- Maximum age
- 74 Years
Show eligibility criteria text
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.
References
Publications (0)
Data not yet available
No reference posted for this study.