LEGACY: Lung Cancer Screening in Individuals With a Lung Cancer Family History-Protocol B
NCT07600801
This study is recruiting at 1 US site in 1 state, according to its ClinicalTrials.gov record last updated .
Summary
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.
Shortened from the sponsor's brief summary. View official record on ClinicalTrials.gov
Conditions studied
- Family History of Lung Cancer
Eligibility basics and study details
- Study type
- Observational
- Phase
- Not applicable
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Sponsor
- Massachusetts General Hospital
- Last updated on ClinicalTrials.gov
- August 25, 2026
These are the basic criteria only. The full inclusion and exclusion criteria are on the official record, and the study team decides who can take part.
US recruiting sites
Massachusetts · 1
- Massachusetts General Hospital · Boston, MA
Source: ClinicalTrials.gov, data processed . Recruiting US sites filtered by distance and site status; summaries shortened.