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

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

First listed

May 22, 2026

Start date

Jun 17, 2026

Status verified

Aug 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

• Allison Chang, MD
  617-724-4000
  [email protected]

Locations (1)

Find similar trials in Boston, MA

Related Studies

• LEGACY: Lung Cancer Screening in Individuals With a Lung Cancer Family History-Protocol A
  Not Yet Recruiting · Massachusetts General Hospital · Boston, Massachusetts