Clinical trial · Observational
Lung Nodule Imaging Biobank for Radiomics and AI Research
NCT04270799CI-TRIAL-00052227LIBRAunknownClinicalTrials.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 study will collect retrospective CT scan images and clinical data from participants with incidental lung nodules seen in hospitals across London. The investigators will research whether machine learning can be used to predict which participants will develop lung cancer, to improve early diagnosis.
Conditions
Conditions (4)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Lung Cancer | Malignant Lung Neoplasm | CURATED_EXACT | 0.92 |
| Lung Neoplasms | Lung Neoplasm | ONTOLOGY_EXACT | 0.98 |
| Pulmonary Nodule, Multiple | — | UNRESOLVED | — |
| Pulmonary Nodule, Solitary | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Machine Learning Classification | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- Lung Nodules
- description
- A cohort of 1000 patients with incidental lung nodules will be identified using clinical records at participating NHS sites. Link-anonymised CT scan images and data will be stored using a central database for radiomics and artificial intelligence research, to predict the risk of malignancy.
- interventionNames
- Diagnostic Test: Machine Learning Classification
Primary outcomes (1)
- measure
- Development of an imaging biobank
- timeFrame
- 1 year
- description
- The primary endpoint will be met if we are able to store baseline CT scans and the minimum clinical data set for 1000 patients.
Secondary outcomes (1)
- measure
- Discovery of a CT-thorax based radiomics profile to predict cancer risk.
- timeFrame
- 1 year
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Age \> 18 * Baseline CT thorax imaging reported as having pulmonary nodule(s) between 5 and 30mm in the last 10 years. * Ground truth known (either scan data showing stability for 2 years (based on diameter) or one year (based on volumetry), complete resolution, or biopsy-proven malignancy. * Slice thickness \< 2.5mm. Exclusion Criteria: * • Absence of at least one technically adequate CT thorax imaging series (defined by visual inspection of presence of imaging data of the thorax in the DICOM record). * Slice thickness \> 2.5mm. * Imaging \> 10 years old. * Ground truth unknown.
References
Publications (0)
Data not yet available
No reference posted for this study.