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CT Scan + Sybil for Lung Cancer

AC
Overseen ByAllison Chang, MD
Age: 18+
Sex: Any
Trial Phase: Academic
Sponsor: Massachusetts General Hospital
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

What You Need to Know Before You Apply

What is the purpose of this trial?

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.

Who Is on the Research Team?

AC

Allison Chang, MD

Principal Investigator

Massachusetts General Hospital

Are You a Good Fit for This Trial?

This trial is for people who have a family history of lung cancer. Participants should be able to undergo chest CT scans and do not have any specific exclusion criteria listed.

Inclusion Criteria

Positive family history of lung cancer defined as having ≥1 first-degree relative or ≥2 second-degree relatives with diagnosis of non-small cell lung cancer or small cell lung cancer
My age is within the required range for this study.
I am 80 years old or younger.
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Exclusion Criteria

I have not had lung surgery, except for a needle or core biopsy.
I have never had stage IV cancer of any type.
Must not have had a chest CT within 12 months prior to trial enrollment
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What Are the Treatments Tested in This Trial?

Trial Overview

The study is testing whether an artificial intelligence tool called Sybil can use chest CT scan images to predict the risk of developing lung cancer in the future.

How Is the Trial Designed?

1

Treatment groups

Experimental Treatment

Group I: Chest CT ScanExperimental Treatment2 Interventions

Find a Clinic Near You

Who Is Running the Clinical Trial?

Massachusetts General Hospital

Lead Sponsor

Trials
3,066
Recruited
13,430,000+

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