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

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.

Eligibility

Inclusion Criteria:

* ≥18 years of age
* Positive family history of lung cancer (defined as):

  * Has ≥1 first-degree relative OR
  * Has ≥2 second-degree relatives with a diagnosis of non-small cell lung cancer or small cell lung cancer (NB: a first-degree relative = parent, sibling, or child, a second-degree relative = grandparent, blood-related aunt or uncle, grandchild, blood-related niece or nephew, half-sibling)
* Willing to provide images from at least one previously obtained CT Chest scan, if available.

Exclusion Criteria:

\- None

Conditions3

Locations1 site

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