Next Generation Chest X-Ray Tomosynthesis for Screening of Lung Cancer
NCT ID: NCT06577883
Last Updated: 2024-08-29
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
1000 participants
OBSERVATIONAL
2023-11-02
2027-06-30
Brief Summary
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* 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.
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Detailed Description
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Conditions
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Study Design
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COHORT
CROSS_SECTIONAL
Study Groups
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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.
Chest X-ray Tomosynthesis
An imaging device that uses X-rays projected from multiple angles to reconstruct a three-dimensional images of the chest
Interventions
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Chest X-ray Tomosynthesis
An imaging device that uses X-rays projected from multiple angles to reconstruct a three-dimensional images of the chest
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* undergoing evaluation of suspicious pulmonary nodule
* newly diagnosed lung cancer
Exclusion Criteria
30 Years
85 Years
ALL
Yes
Sponsors
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AIxSCAN, Inc.
UNKNOWN
University of California, San Diego
OTHER
Responsible Party
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Albert Hsiao
Professor in Residence, Department of Radiology
Principal Investigators
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Albert Hsiao, MD PhD
Role: PRINCIPAL_INVESTIGATOR
UC San Diego, Department of Radiology
Locations
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University of California San Diego
San Diego, California, United States
Countries
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Central Contacts
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Facility Contacts
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Related Links
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AIxScan, Inc
Other Identifiers
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805210
Identifier Type: -
Identifier Source: org_study_id
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