RecruitingNot applicableNCT06577883

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

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.

Checked against the public recordLast updated Aug 29, 2024 · Source: ClinicalTrials.gov

StatusRecruiting
PhaseNot applicable
U.S. locations1
SponsorUniversity of California, San Diego
01
Study overview

What this study is about

Purpose
Not specified
Study type
Observational
Phase
Not applicable
Sponsor
University of California, San Diego
Interventions being studied
Diagnostic Test: Chest X-ray Tomosynthesis
02
Explore related studies

How this study is categorized

These labels come from structured fields and exact terms in the public record.

03
Public criteria

Who may be able to participate

Inclusion Criteria: * undergoing lung cancer screening * undergoing evaluation of suspicious pulmonary nodule * newly diagnosed lung cancer Exclusion Criteria: * prior history of lung cancer treatment

Important: This is the sponsor’s public criteria, not a determination of eligibility. The study team must review your individual situation.

04
Study sites

U.S. locations

  • University of California San DiegoSan Diego, California

Source and freshness
Processed from ClinicalTrials.gov. Last public update: Aug 29, 2024. Always confirm current availability with the study team.

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