Clinical trial · Interventional
Screening for Early Lung Cancer in Shanghai, China
Screening and Diagnosing for Early Lung Cancer in Shanghai Communities With Imaging Procedures
NCT02185495CI-TRIAL-00016370unknownPhase 2ClinicalTrials.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)
Imaging procedures including chest X-ray and low-dose computed tomography may be effective in lung cancer early detection. Yet it is unknown whether low-dose computed tomography combined with computer aided detection （CAD) is more effective than LDCT in screening of early lung cancer.
Conditions
Conditions (1)
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 Cancer | Malignant Lung Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Computer-aided nodule detection | Device | — | UNRESOLVED |
| Observer nodule detection | Behavioral | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- High-risk individuals
- description
- The elder and heavy smokers, which are high-risk individuals for early lung cancer. These subjects will be examined using "Observer nodule detection" and " Computer-aided nodule detection".
- interventionNames
- Behavioral: Observer nodule detection
- Device: Computer-aided nodule detection
Primary outcomes (1)
- measure
- The sensitivities of low-dose computed tomography and low-dose computed tomography with computer aided detection in detecting early lung cancer
- timeFrame
- 24months
- description
- A questionaire will be recorded for each subject, including demographics, smoking history and disease history, etc. If a pulmonary nodule was found, the location, shape, size, margin and density will be recorded. A subject with a suspected malignant nodule, which was detected either by a radiologist or computed-aiding detection software, will refer to a physician for further management. Finally, the sensitivities of radiologist or software detection will be calculated.
Secondary outcomes (2)
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 35 Years
- Maximum age
- 74 Years
Show eligibility criteria text
Inclusion Criteria: * Age of 55 to 74 years; smoking history of at least 30 pack-years; and if former smoker, have quit within 15 years * Age 50 or older ,20 or more pack-year history of smoking, and one additional risk factor (occupational exposure, residential radon exposure, cancer history, family history of lung cancer, history of lung disease) * Age 35 and one additional risk factor * Ability to accept LDCT examination and sign informed consent form Exclusion Criteria: * Individuals with any symptoms suggestive of lung cancer （e.g., vigorous coughing, chest pain, weight loss, blood-stained sputum） * Individuals with acute pulmonary abnormalities or those in poor health conditions or those have metallic implants or devices in the chest or back will be excluded due to the potential impact on the results as well as difficulty of acquiring the images. * Pregnant women
References
Publications (0)
Data not yet available
No reference posted for this study.