Clinical trial · Observational
LEGACY: Lung Cancer Screening in Individuals With a Lung Cancer Family History-Protocol B
NCT07600801CI-TRIAL-00123679recruitingClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Family History of Lung Cancer | Lung Neoplasm | ONTOLOGY_EXACT | 0.90 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| CT scan | Diagnostic Test | — | UNRESOLVED |
| Sybil | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- Retrospective CT scan
- description
- Participants will contribute images and corresponding radiology reports from at least one retrospective CT chest scan.
- interventionNames
- Diagnostic Test: CT scan
- Other: Sybil
Primary outcomes (1)
- measure
- Sybil's performance in predicting future lung cancer diagnoses
- timeFrame
- From date of receival of retrospective CT scan for up to 2 years.
- description
- We will estimate future lung cancer diagnoses using the area under the receiver operating curve (AUROC).
Secondary outcomes (3)
- measure
- Distribution of Sybil lung cancer risk scores compared to participants in the NLST clinical trial
- timeFrame
- From receival of retrospective CT scan for up to 2 years.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
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
References
Publications (0)
Data not yet available
No reference posted for this study.