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Next Generation Chest X-Ray Tomosynthesis for Screening of Lung Cancer
Chest X-ray Tomosynthesis for Detection of Lung Cancer and Lung Disease
Who can join
Ages 30 to 85 · All sexes · Healthy volunteers welcome
Full eligibility criteria
Inclusion Criteria: * undergoing lung cancer screening * undergoing evaluation of suspicious pulmonary nodule * newly diagnosed lung cancer Exclusion Criteria: * prior history of lung cancer treatment
About the study
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.
What is being tested
- Chest X-ray Tomosynthesis (diagnostic test)
Sponsor: University of California, San Diego · Participants: 1,000 · Started: Nov 2, 2023
Contact the study team
- Alexander Cypro, MD · Phone: 858-2462196
Official record on ClinicalTrials.gov — NCT06577883
Locations in the U.S.
| California | University of California San Diego, San Diego |
Conditions
From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.