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

Part of paid clinical trials in Boston, Massachusetts.

Sponsor
Massachusetts General Hospital
Study ID
NCT07600801
Status
Not Yet Recruiting

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Conditions

  • Family History of Lung Cancer

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • CT scan — DIAGNOSTIC_TEST
    Previously obtained computed tomography scan
  • Sybil — OTHER
    Image-based deep learning model

Study Details

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 Dates

Start date
Jun 15, 2026
Status verified
May 2026
Primary completion
Dec 31, 2033
Completion
Dec 31, 2035

Study Design

Enrollment
2,250 participants (estimated)

Arms

  • Arm: Retrospective CT scan
    Participants will contribute images and corresponding radiology reports from at least one retrospective CT chest scan.

Primary Outcome Measure

Sybil's performance in predicting future lung cancer diagnoses [ Time Frame: From date of receival of retrospective CT scan for up to 2 years. ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
Massachusetts General HospitalBostonMassachusetts02114
Allison Chang, MD
[email protected]
617-724-4000

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By research site
Massachusetts General Hospital· Boston, MA