Early Lung Cancer Detection Using Computed Tomography

NCT ID: NCT00188734

Last Updated: 2016-08-10

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 5000 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2003-09-30
• Study Completion Date: 2016-06-30

Brief Summary

Early detection of lung cancer may improve treatment outcomes. Risk factors have been identified, suggesting a population which might benefit from regular screening. Lung cancer screening using low-dose computed tomography (LDCT) has experienced a recent renaissance with reported sensitivity for detection of lung cancer of 2.7% in high-risk populations. The purpose of this study is to evaluate the utility of LCDT for the early diagnosis of lung cancer in Ontario.

Conditions

Lung Cancer

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Eligibility Criteria

Inclusion Criteria

55 years or older at least 10 pack-year history of smoking general good health

Exclusion Criteria

any prior cancers except non-melanotic skin cancer

• Minimum Eligible Age: 55 Years
• Maximum Eligible Age: 85 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

University Health Network, Toronto

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Heidi C Roberts, MD

Role: PRINCIPAL_INVESTIGATOR

University Health Network, Toronto

Locations

Princess Margaret Hospital

Toronto, Ontario, Canada

Countries

Canada

Other Identifiers

I-ELCAP

Identifier Type: -

Identifier Source: org_study_id