Lung Cancer, Metastatic Cancer in the Lungs
Conditions
Keywords
lung cancer, nodules, radiography, CT, Stereoscopy
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.
Interventions
DEVICEbi-plane chest radiography
Bi-plane radiography of the thorax
Sponsors
Duke University
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Normal individuals * Individuals with CT-confirmed subtle lung nodules.
Exclusion criteria
* 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.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The technique is effective in diagnosing early lung tumors. | end of the study |
Secondary
| Measure | Time frame |
|---|---|
| The relative performance of BCI with respect to chest radiography and CT for lung cancer detection. | end of the study |
Countries
United States
Outcome results
None listed