EligibleTrials

Stereotactic Body Radiation Therapy Planning With Artificial Intelligence-Directed Dose Recommendation for Treatment of Primary or Metastatic Lung Tumors, RAD-AI Study

Recruiting · NCT05802186 · Interventional (participants receive a specific treatment) · Lead sponsor: Northwestern University

View the official record on ClinicalTrials.gov →
Lung cancer

Interventions studied

Computed TomographyMagnetic Resonance ImagingPositron Emission TomographyQuality-of-Life AssessmentRadiology, Treatment PlanningStereotactic Body Radiation TherapyX-Ray Imaging

What this trial is about

This phase II trial tests the effectiveness and safety of artificial intelligence (AI) to determine dose recommendation during stereotactic body radiation therapy (SBRT) planning in patients with primary lung cancer or tumors that has spread from another primary site to the lung (metastatic). SBRT uses special equipment to position a patient and deliver radiation to tumors with high precision. This method may kill tumor cells with fewer doses over a shorter period and cause less damage to normal tissue. Even with the high precision of SBRT, disease persistence or reappearance (local recurrence) can still occur, which could be attributed to the radiation dose. AI has been used in other areas of healthcare to automate and improve various aspects of medical science. Because the relationship of dose and local recurrence indicates that dose prescriptions matter, decision support systems to help guide dose based on personalized prediction AI algorithms could better assist providers in prescribing the radiation dose of lung stereotactic body radiation therapy treatment.

Who can take part

Age range
18 Years and older
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not applicable (e.g. observational or device study)
Study type
Interventional (participants receive a specific treatment)

Inclusion criteria

Exclusion criteria

Where it is running

1 location listed across 1 US state.

Read the full protocol, contacts and eligibility on ClinicalTrials.gov →

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