Lung cancer risk from CT scans in people with a family history

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This is an observational study enrolling adults with a family history of lung cancer. Participants provide a questionnaire about medical history and exposures and share chest CT images from previous scans. The study uses an image-based AI model (Sybil) to estimate each person’s future risk of developing lung cancer based on those CT images. The goal is to determine how well Sybil predicts risk in this specific, higher-risk population. About 2,250 participants are planned to enroll at Massachusetts General Hospital.

Why it matters

Who can join: the full rules

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

Where it's running

• Massachusetts General Hospital
  Boston, Massachusetts, United States Recruiting

Study contacts

• Principal investigator: Allison Chang, MD — Massachusetts General Hospital
• Study coordinator: Allison Chang, MD
• Email: aechang@mgb.org
• Phone: 617-724-4000

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.