Using advanced chest X-ray technology to screen for lung cancer

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational clinical trial aims to evaluate the effectiveness of chest tomosynthesis as a potential alternative to computed tomography (CT) for lung cancer detection. Participants will undergo both chest tomosynthesis and routine CT scans to compare their diagnostic accuracy. The study also focuses on developing artificial intelligence tools to enhance the detection of lung cancer in tomosynthesis images. Researchers will assess the sensitivity and specificity of this new imaging technique in a population undergoing lung cancer screening or evaluation of suspicious lung nodules.

Why it matters

Who can join: the full rules

Inclusion Criteria:

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

Exclusion Criteria:

* prior history of lung cancer treatment

Where it's running

• University of California San Diego
  San Diego, California, United States Recruiting

Study contacts

• Principal investigator: Albert Hsiao, MD PhD — UC San Diego, Department of Radiology
• Study coordinator: Alexander Cypro, MD
• Email: aidaresearch2023@gmail.com
• Phone: 858-2462196

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.