Spots Global Cancer Trial Database for Early Detection of Lung Cancer Via Bi-plane Correlation Chest Imaging
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Trial Identification
Brief Title: Early Detection of Lung Cancer Via Bi-plane Correlation Chest Imaging
Official Title: Early Detection of Lung Cancer Via Bi-plane Correlation Chest Imaging
Study ID: NCT00673283
Interventions
Study Description
Brief Summary: This project proposes a new method, Bi-plane Correlation Imaging (BCI), for improved detection of subtle lung nodules. In BCI, two digital radiographs of the chest are acquired within a short time interval from slightly different posterior projections. The image data are incorporated into an enhanced Computer-aided Diagnosis (CAD) algorithm in which nodules present in the thoracic cavity are detected by examining the geometrical correlation of the detected signals in the two views. The data are alos viewed stereoscopically for visual diagnosis. The expected high sensitivity/specificity of the method has the potential to change the current state of practice, perhaps leading to a preventive lung cancer screening program for high-risk populations, similar to the mammography screening program currently in place for breast cancer.
Detailed Description:
Eligibility
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: Yes
Locations
Duke University Medcal Center, Durham, North Carolina, United States
Contact Details
Name: Ehsan Samei, PhD
Affiliation: Duke University
Role: PRINCIPAL_INVESTIGATOR
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