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

Completed · Early Phase 1

Conditions studied: Lung Cancer, Metastatic Cancer in the Lungs

In brief

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.

Key facts

Study ID

NCT00673283

Run by

Duke University

People needed

86

Starts

2007-04-01

Expected to finish

2008-11-01

Last updated by the study team

2014-08-01

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Normal individuals
• Individuals with CT-confirmed subtle lung nodules.

You may not qualify if…

• Individuals with acute pulmonary abnormalities or those in poor health conditions will be excluded due to the potential impact on the results as well as difficulty of acquiring the images. Pregnant women will also be excluded to avoid the exposure of the fetus to radiation.

Where it is running

• Duke University Medcal Center — Durham, North Carolina, United States

Full record on ClinicalTrials.gov

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