- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02185495
Screening for Early Lung Cancer in Shanghai, China
Screening and Diagnosing for Early Lung Cancer in Shanghai Communities With Imaging Procedures
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Anticipated)
Phase
- Phase 2
Contacts and Locations
Study Locations
-
-
Shanghai
-
Shanghai, Shanghai, China, 200003
- Recruiting
- Changzheng hospital
-
Contact:
- Shiyuan Liu, Prof.MD.PhD.
- Phone Number: +86-13761304518
- Email: cjr.liushiyuan@vip.163.com
-
Principal Investigator:
- ShiYuan Liu, Prof.MD.PhD.
-
Sub-Investigator:
- Ying Zhou, MD.
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
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
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Screening
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: High-risk individuals
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".
|
Radiologists will detect the nodules.
Computed-aided detection (CAD) software will be used to detect the nodules.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The sensitivities of low-dose computed tomography and low-dose computed tomography with computer aided detection in detecting early lung cancer
Time Frame: 24months
|
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. |
24months
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
The false positive rates between low-dose computed tomography and low-dose computed tomography with computer aided detection will be compared
Time Frame: 24months
|
24months
|
|
Nodule detection rate
Time Frame: 6 months
|
6 months
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Study Director: Shiyuan Liu, MD, Radiology Department of Shanghai Changzheng Hospital
Study record dates
Study Major Dates
Study Start
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 13411950100
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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