AI-Directed Radiation Planning for Lung Tumors (RAD-AI Study)
This study is testing a new way to plan radiation therapy for lung tumors using artificial intelligence (AI). It's called the RAD-AI Study. If you have lung cancer or cancer that has spread to your lungs, you might be able to join. The study will use AI to recommend the best radiation dose during stereotactic body radiation therapy (SBRT), a precise type of radiation. Researchers want to see if this AI-guided planning can reduce the chance of the cancer coming back in the treated area. They will also look at how long people live without the cancer growing and check for any side effects. The study aims to enroll 70 participants.
- Study design
- This is an interventional study, meaning participants will receive a specific treatment. It is not specified if it's randomized or blinded, but it plans to enroll 70 participants.
- What's involved
- You would undergo radiation planning with AI-directed analysis, then receive SBRT. You will also have imaging tests like PET, CT, MRI, and/or X-rays during screening and follow-up.
- Compensation
- Not stated in the trial record.
- Follow-up
- The study will follow participants for up to 5 years to measure how long they live without the cancer returning in the treated area.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Stereotactic Body Radiation Therapy Planning With Artificial Intelligence-Directed Dose Recommendation for Treatment of Primary or Metastatic Lung Tumors, RAD-AI Study
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Mohamed E Abazeed, MD, PhD · PRINCIPAL_INVESTIGATOR · Northwestern University
Who to contact
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Do you actually qualify for this trial?
Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.
Inclusion
Exclusion
What this trial measures
- Local failure free survival (LFS)Up to 5 years
LFS is defined as the length of time after SBRT that the patient survives without local failure (as assessed by tumor imaging). LFS data will be collected from the end of SBRT, until the patient experiences recurrence, completes the 5-year follow-up after SBRT, or experiences death from any cause (whichever is sooner). The LFS at 2 years after completion of SBRT will be calculated based on Kaplan-Meier estimates