Early Detection of Lung Cancer Via Bi-plane Correlation Chest Imaging

Status Completed

Clinical Trial 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.

Clinical Trial Description

n/a

Study Design

Intervention Model: Single Group Assignment, Masking: Open Label, Primary Purpose: Diagnostic

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT00673283
Study type	Interventional
Source	Duke University
Contact
Status	Completed
Phase	Phase 0
Start date	April 2007
Completion date	November 2008

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