LEGACY: Lung Cancer Screening in Individuals With a Lung Cancer Family History-Protocol A
Starting soon · Not applicable
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.
Key facts
- Study ID
- NCT07685028
- Run by
- Massachusetts General Hospital
- People needed
- 250
- Starts
- 2026-10-06
- Expected to finish
- 2035-12-31
- Last updated by the study team
- 2026-07-06
Who can join
Age: 18 and older, up to 80. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Age: Must meet both the upper and lower age limit criteria.
- Upper age limit: ≤80 years of age
- Lower age limit:
- ≥40 years of age OR
- ≥18 years of age AND ≤10 years of youngest relative's age at time of lung cancer diagnosis (e.g., if a relative was diagnosed at 35 years of age, participant can enroll at ≥25 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)
You may not qualify if…
- Must not have a personal history of lung cancer at the time of enrollment.
- Must not have a personal history of stage IV cancer of any type at the time of enrollment.
- Must not have had surgical removal of any portion of the lung, excluding needle or core lung biopsy at the time of enrollment.
- Must not have had a chest CT within 12 months prior to trial enrollment.
Where it is running
- Massachusetts General Hospital — Boston, Massachusetts, United States
Full record on ClinicalTrials.gov
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