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

NCT07685028 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 250

Last updated 2026-07-06

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.

Conditions

  • Family History of Lung Cancer

Interventions

DIAGNOSTIC_TEST

CT scan

Computed tomography scan

OTHER

Sybil

Image-based deep learning model

Sponsors & Collaborators

Principal Investigators

  • Allison Chang, MD · Massachusetts General Hospital

Study Design

Allocation
NA
Purpose
SCREENING
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-10-06
Primary Completion
2033-12-31
Completion
2035-12-31
FDA Device
Yes

Countries

  • United States

Study Locations

More Related Trials

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 NCT07685028 on ClinicalTrials.gov