Next Generation Chest X-Ray Tomosynthesis for Screening of Lung Cancer
Recruiting now
Conditions studied: Lung Cancer
In brief
The goal of this observational clinical trial is to learn if chest tomosynthesis is a potential alternative to computed tomography for the detection of lung cancer. It will also develop artificial intelligence tools to aid in the diagnosis of lung cancer on chest tomosynthesis images. The main questions it aims to answer are: * What is the accuracy of chest X-ray tomosynthesis in diagnosing lung cancer in a population of individuals undergoing lung cancer screening or evaluation of a suspicious lung nodule? * Can artificial intelligence help us detect lung cancer on chest tomosynthesis images? Researchers will compare chest tomosynthesis images to computed tomography scans for each participant to see how they compare in diagnosing lung cancer. Participants will a chest tomosynthesis scan in addition to their routine clinical computed tomography scan.
Key facts
- Study ID
- NCT06577883
- Run by
- University of California, San Diego
- People needed
- 1000
- Starts
- 2023-11-02
- Expected to finish
- 2027-06-30
- Last updated by the study team
- 2024-08-29
Who can join
Age: 30 and older, up to 85. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- undergoing lung cancer screening
- undergoing evaluation of suspicious pulmonary nodule
- newly diagnosed lung cancer
You may not qualify if…
- prior history of lung cancer treatment
Where it is running
- University of California San Diego — San Diego, California, United States (enrolling)
Full record on ClinicalTrials.gov
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