Online tool aims to catch lung cancer earlier
NCT ID NCT06338592
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This completed study tested a tool called MyLungHealth, delivered through a patient portal, to help more people get screened for lung cancer. Over 31,000 participants aged 50-79 with a smoking history were involved. The tool aimed to identify who was eligible for screening and encourage them to get a low-dose CT scan.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- MyLungHealth patient portal intervention
- What this could lead to
- If successful, this approach could help more people get screened for lung cancer earlier, when it's more treatable.
- What could go wrong
- This is a completed study, so results are already known. The intervention may not work in all clinics or for all patients, and it relies on patients using the online portal.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for 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
Locations
-
NYU Langone Health
New York, New York, 10016, United States
-
University of Utah Health
Salt Lake City, Utah, 84112, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can a simple CT scan catch lung cancer earlier in kuwait?
- Can a new drug combo revive Immunotherapy's power against resistant tumors?
- Seeing the fight: new imaging tracer may reveal how immune cells attack lung cancer
- Your Tumor's DNA might predict immunotherapy success
- Can a new PET tracer light up hidden cancers?
- Fellow veterans may hold the key to earlier lung cancer detection