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Next Generation Chest X-Ray Tomosynthesis for Screening of Lung Cancer

RECRUITINGSponsored by University of California, San Diego
Actively Recruiting
SponsorUniversity of California, San Diego
Started2023-11-02
Est. completion2026-12-31
Eligibility
Age30 Years – 85 Years
Healthy vol.Accepted
Locations1 site

Summary

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.

Eligibility

Age: 30 Years – 85 YearsHealthy volunteers accepted
Inclusion Criteria:

* undergoing lung cancer screening
* undergoing evaluation of suspicious pulmonary nodule
* newly diagnosed lung cancer

Exclusion Criteria:

* prior history of lung cancer treatment

Conditions2

CancerLung Cancer

Locations1 site

University of California San Diego
San Diego, California, 92093
Alexander Cypro, MD858-246-2196aidaresearch2023@gmail.com

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