LEGACY: Lung Cancer Screening in Individuals With a Lung Cancer Family History-Protocol B

Starting soon

Conditions studied: Family History of Lung Cancer

In brief

This research is being done to determine if an image-based deep learning model (Sybil) can accurately predict the likelihood of future lung cancer based on chest computed tomography (CT) imaging from individuals with a family history of lung cancer.

Key facts

Study ID

NCT07600801

Run by

Massachusetts General Hospital

People needed

2250

Starts

2026-06-15

Expected to finish

2035-12-31

Last updated by the study team

2026-05-27

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• ≥18 years of age
• Positive family history of lung cancer (defined as):
• Has ≥1 first-degree relative OR
• Has ≥2 second-degree relatives with a diagnosis of non-small cell lung cancer or small cell lung cancer (NB: a first-degree relative = parent, sibling, or child, a second-degree relative = grandparent, blood-related aunt or uncle, grandchild, blood-related niece or nephew, half-sibling)
• Willing to provide images from at least one previously obtained CT Chest scan, if available.

You may not qualify if…

• None

Where it is running

• Massachusetts General Hospital — Boston, Massachusetts, United States

Full record on ClinicalTrials.gov

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