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

NCT07600801 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 2250

Last updated 2026-05-22

No results posted yet for this study

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.

Conditions

  • Family History of Lung Cancer

Interventions

DIAGNOSTIC_TEST

CT scan

Previously obtained computed tomography scan

Sponsors & Collaborators

Principal Investigators

  • Allison Chang, MD · Massachusetts General Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-06-15
Primary Completion
2033-12-31
Completion
2035-12-31

Countries

  • United States

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07600801 on ClinicalTrials.gov