Clinical trial · Observational
Early Detection of Lung Cancer With Machine Learning Based on Routine Clinical Investigations
NCT05907577CI-TRIAL-00067286unknownClinicalTrials.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 observational, cross-sectional study in lung cancer patients and lung cancer-free controls aims to develop a machine learning model for early detection of LC based on routine, widely accessible and minimally invasive clinical investigations. The model with adequate predictive performance could later be used in clinical practice as an aid in defining the optimal population and timing for lung cancer screening program.
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 |
|---|---|---|---|
| Adenocarcinoma of Lung; Bronchial Neoplasms; Early Detection of Cancer; Machine Learning | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Observational | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- label
- Disease cohort
- description
- Observational, no interventions
- interventionNames
- Other: Observational
- label
- Control cohort
- description
- Observational, no interventions
- interventionNames
- Other: Observational
Primary outcomes (1)
- measure
- Develop a model with high predictive performance for early detection of non-small cell lung cancer (NSCLC) in the eligible patient population.
- timeFrame
- 11 years
- description
- The primary outcome is tested by calculating a joint rectangular 95% confidence region for {sensitivity, specificity} and compared with the reported accuracy of NLST study screening criteria.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 50 Years
- Maximum age
- 79 Years
Show eligibility criteria text
All patients: * Age ≥ 50 years and \< 80 years at the index date of diagnosis (for Cases) or pseudodiagnosis (for Controls). * Presence of at least one extended blood analysis, spirometry and DLCO report within the 6 months before the index date. * Chest CT scan performed in a non-urgent setting (electively) within the 6 months before the index date (= index CT). * Active smokers at the index date or former smokers that ceased smoking within 15 years before the index date. * Smoking history ≥ 20 pack-years. Additional for Cases only: Confirmed histological diagnosis of bronchogenic lung cancer in the time period ≥ 2010 and ≤ 2020. Additional for Controls only: * Absence of lung cancer at all times ≤ 2020, confirmed by chest CT scan at the index date. * Documented to live without diagnosis of lung cancer for at least 3 years after the index date. Extended criteria for the lung cancer prediction subgroup: In addition to the above stated inclusion criteria, patients in this subgroup have at least one extended blood analysis, spirometry and DLCO report available in the time interval between 3-5 years before the index date.
References
Publications (0)
Data not yet available
No reference posted for this study.