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NCT07685028 · ClinicalTrials.gov registry record · NA

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

A NA study, sponsored by Massachusetts General Hospital.

Not yet
Registry status
NA
Development phase
250
Enrollment target

NCT07685028: Clinical Trial NA study, sponsored by Massachusetts General Hospital.

NCT07685028 is a NA study that has not yet begun recruiting, run by Massachusetts General Hospital. The registered enrollment target is 250 participants, below the 1,404-participant average among 58,714 other NA trials with a reported enrollment target (82% lower). According to ClinicalTrials.gov, the official US trial registry.

View on ClinicalTrials.gov ↗

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The verdict

NCT07685028, a NA study, has not yet begun recruiting, sponsored by Massachusetts General Hospital.

NOT YET RECRUITING
Registry status
NA
Development phase
250 participants
Enrollment target

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.

Primary Outcome

All subjects will be followed for lung cancer diagnosis scan for up to 5 years following the baseline scan. Sybil's performance in predicting future lung cancer diagnoses across the study population will be calculated using the area under the receiver operating curve (AUROC), which is a measure of a risk prediction model's ability to discriminate between cases and controls. Sybil's output corresponds to the cumulative annual risk of lung cancer for up to 6 years following a given scan.

Interventions

  • DIAGNOSTIC_TEST CT scan
  • OTHER Sybil

Trial Details

FieldValue
Enrollment Target 250 participants
Start Date 2026-10-06
Est. Completion 2035-12-31
Phase NA
Massachusetts General Hospital

2,032 total trials

What is known before NCT07685028 opens enrollment

NCT07685028 is an interventional study that assigns participants to a tested intervention. The registered 250 participants enrollment target is mid-sized for trials with a published cap, below the 1,404-participant average among 58,714 other NA trials with a reported enrollment target (82% lower).

The record links to 0 conditions, and to 2 interventions - of which CT scan is the first listed.

NCT07685028 does not publish any study locations in the registry export this page uses.

Frequently Asked Questions

What is clinical trial NCT07685028 about?

NCT07685028 is a clinical study titled "LEGACY: Lung Cancer Screening in Individuals With a Lung Cancer Family History-Protocol A". 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.

What is the current status of trial NCT07685028?

This trial is currently not yet recruiting. It is a NA study. The enrollment target is 250 participants. The study started on 2026-10-06. Estimated completion is 2035-12-31.

What interventions are being tested in trial NCT07685028?

The interventions under investigation include: CT scan (DIAGNOSTIC_TEST), Sybil (OTHER).

Who is sponsoring clinical trial NCT07685028?

This trial is sponsored by Massachusetts General Hospital, which has 2,032 total clinical trials registered on ClinicalTrials.gov.

How this trial's enrollment target compares

Where NCT07685028's enrollment target sits among peer trials

250 410th of 2000 higher than 1,567 of 2,000 other NA trials

participants (enrollment target), bucketed by value

Each bar is a band; taller bars hold more other NA trials. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source ClinicalTrials.gov registry export · 2026-08-08

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Source: ClinicalTrials.gov NCT07685028, the US trial registry maintained by the National Library of Medicine. NCT07685028 (mid enrollment · none site footprint · not yet recruiting) retrieved and formatted by PlainTrial, see methodology.