Plain-English translation of NCT03563976 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Read our Lung Cancer research guide →Researchers are studying whether advanced computer analysis of lung CT scans can better predict which patients will need a biopsy (a tissue sample) for lung cancer. By looking at patterns in imaging from past patients, they hope to create a tool that helps doctors make faster, more accurate decisions about who truly needs further testing.
Currently, doctors cannot always tell from a scan alone whether a lung nodule is cancer, so many patients undergo biopsies that turn out to be unnecessary. This study aims to develop a smarter imaging tool to reduce the number of invasive procedures patients have to endure.
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Your participation involves no visits or procedures. Researchers will review your existing medical records, imaging scans, and treatment information that was already collected during your cancer care at the hospital. This data will be used to train a computer model and help researchers understand what imaging patterns predict biopsy outcomes.
AI-generated summary from trial data · Jul 3, 2026 · Not medical advice
United States
University of Texas Southwestern Medical Center
Enrollment target
~2,000 participants
Started
February 2015
Primary completion
June 2029
Age range
18 Years – 99 Years
Last updated on clinicaltrials.gov in April 2026.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Sarah Neufeld, MS
UTSW Radiation Oncology
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.