Chest X-ray Tomosynthesis for Detection of Lung Cancer and Lung Disease

Status: Recruiting
Location: See location...
Intervention Type: Diagnostic test
Study Type: Observational
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
Participation Requirements
Sex: All
Minimum Age: 30
Maximum Age: 85
Healthy Volunteers: t
View:

• undergoing lung cancer screening

• undergoing evaluation of suspicious pulmonary nodule

• newly diagnosed lung cancer

Locations
United States
California
University of California San Diego
RECRUITING
San Diego
Contact Information
Primary
Alexander Cypro, MD
aidaresearch2023@gmail.com
858-2462196
Time Frame
Start Date: 2023-11-02
Estimated Completion Date: 2027-06-30
Participants
Target number of participants: 1000
Treatments
Chest X-ray Tomosynthesis Participants
Participants who had a recent, routine clinical chest computed tomography scan for lung cancer screening or evaluation of nodule suspicious for lung cancer will undergo an additional chest X-ray tomosynthesis scan.
Related Therapeutic Areas
Sponsors
Collaborators: AIxSCAN, Inc.
Leads: University of California, San Diego

This content was sourced from clinicaltrials.gov