MedPath

Deep Learning Using Chest X-Rays to Identify High Risk Patients for Lung Cancer Screening CT

Not Applicable
Not yet recruiting
Conditions
Lung Cancer
Health Screening
Early Cancer Detection
Deep Learning
Registration Number
NCT06910956
Lead Sponsor
Massachusetts General Hospital
Brief Summary

The goal of this clinical trial is to evaluate whether an AI tool that alerts providers to patients at high 6-year risk of lung cancer based on their chest x-ray images will improve lung cancer screening CT participation. The main question it aims to answer is: Does the AI tool improve lung cancer screening CT participation at 6 months after the baseline outpatient visit

The intervention is an alert to the provider to discuss lung cancer screening CT eligibility, for patients considered at high risk of lung cancer based on CXR-LC AI tool.

If there is a comparison group: Researchers will compare intervention and non-intervention arms to determine if lung cancer screen CT participation increases.

Detailed Description

Not available

Recruitment & Eligibility

Status
NOT_YET_RECRUITING
Sex
All
Target Recruitment
1500
Inclusion Criteria
  • Scheduled outpatient appointment with participating provider.
  • 50- to 77-year-old who currently or formerly smoked, to include persons potentially eligible for lung screening based on Medicare guidelines.
  • Recent (within 2 years) PA chest radiograph.
Exclusion Criteria

• History or signs/symptoms of lung cancer. Recent (within 2 years) chest CT. Clinical indication for chest CT beyond lung cancer screening.

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Primary Outcome Measures
NameTimeMethod
Proportion completing Lung Cancer screening CT in 6 months after visit6 months

To assess impact on lung cancer screening CT participation (defined as completing lung cancer screening CT) in the 6 months after the baseline visit.

Secondary Outcome Measures
NameTimeMethod
© Copyright 2025. All Rights Reserved by MedPath