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

Part of paid clinical trials in Boston, Massachusetts.

Sponsor
Massachusetts General Hospital
Study ID
NCT07685028
Status
Not Yet Recruiting

Notify me when recruiting opens

Save your spot on the interest list for this study. We'll keep your details with this study so our team can follow up when recruiting opens.

Not yet recruiting

Add your contact details and location so we can keep your interest tied to this study.

Conditions

  • Family History of Lung Cancer

Eligibility Criteria

Sex
ALL
Age
18 Years - 80 Years
Healthy Volunteers
Not accepted

Interventions

  • CT scan — DIAGNOSTIC_TEST
    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.

Key Dates

Start date
Oct 6, 2026
Status verified
Jul 2026
Primary completion
Dec 31, 2033
Completion
Dec 31, 2035

Study Design

Enrollment
250 participants (estimated)
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SCREENING

Arms

  • Other: Chest CT Scan
    Participants will undergo a single prospective low-dose non-contrast enhanced chest CT within 6 months of study enrollment.

Primary Outcome Measure

Sybil's performance in predicting future lung cancer diagnoses [ Time Frame: Annually, from time of initial CT scan to up to 5 years after the scan. ]

Central Contacts

Locations (1)

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

Find similar trials in Boston, MA

By research site
Massachusetts General Hospital· Boston, MA

Related Studies