AI reads lung cancer scans to predict best treatment
NCT ID NCT07449858
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looks at whether computer analysis of PET/CT scans can help doctors more accurately stage non-small cell lung cancer and predict genetic mutations. Researchers will use data from 500 patients to build and test machine learning models. The goal is to provide better, personalized treatment guidance without needing extra invasive tests.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this could lead to more accurate, non-invasive ways to stage lung cancer and predict gene mutations, helping doctors choose the best treatment for each patient.
What could go wrong
This is a retrospective study using existing data, not a clinical trial testing a new treatment. The models may not work as well in real-world settings or for all patient groups.
Disclaimer
Read more
Show less
This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for NON-SMALL-CELL LUNG CANCER are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Locations
-
Guangdong Second Provincial General Hospital
Guangzhou, Guangdong, 510317, China
-
The First Hospital of China Medical University
Shenyang, Liaoning, 110001, China
-
The Second Affiliated Hospital, Zhejiang University School of Medicine
Hangzhou, Zhejiang, 310009, China
-
West China Hospital of Sichuan University
Chengdu, Sichuan, 610041, China