Plain-English translation of NCT06500312 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Read our Lung Cancer research guide →Researchers want to understand how pictures from CT scans of your lungs connect to what's happening inside your tumor at the cellular level, and how those details might predict how you'll respond to treatment. By studying these relationships in a group of 150 lung cancer patients, they hope to find clues that could help doctors choose better treatments in the future.
Right now, doctors can see tumors on imaging scans, but there's a gap between what the pictures show and what's actually happening inside the tumor. This study aims to bridge that gap so doctors can eventually use scan images alone to predict which treatments will work best for each patient.
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You would not receive any new treatment as part of this study — researchers would simply review your existing CT scans, tumor tissue samples, and medical records to look for patterns. The study will follow you over time to see how you respond to your regular cancer care, comparing what the images showed with your actual health outcomes.
AI-generated summary from trial data · Jun 9, 2026 · Not medical advice
China
Collaborators
First Affiliated Hospital Xi'an Jiaotong University
Enrollment target
~150 participants
Started
July 2024
Primary completion
July 2027
Age range
18 Years and older
Last updated on clinicaltrials.gov in January 2025.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Lian Yang
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
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.