Segmentation of Structural Abnormalities in Chronic Lung Diseases
- Conditions
- AsthmaInterstitial Lung DiseaseCystic FibrosisCOPD
- Registration Number
- NCT04760548
- Lead Sponsor
- Hôpital Haut Lévêque
- Brief Summary
Lung structural abnormalities are complex, time-consuming, and may lack reproducibility to evaluate visually on CT scans. The study's aim is to perform automated recognition of structural abnormalities in CT scans of patients with chronic lung diseases by using dedicated software.
- Detailed Description
Three chronic lung diseases will constitute the target of the study, by using retrospective data from each lung disease:
* Cystic fibrosis
* Asthma and COPD
* Interstitial lung diseases
Dedicated algorithms will be developped for each disease condition.
Recruitment & Eligibility
- Status
- ACTIVE_NOT_RECRUITING
- Sex
- All
- Target Recruitment
- 800
- Patients with chronic lung disease and clinical examination, pulmonary function test, and CT acquired during a routine follow-up
Not provided
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Validity of automated measurement From date of inclusion until the date of final quantification, assessed up to 12 months Correlations and comparisons with other biomarker of the disease severity
- Secondary Outcome Measures
Name Time Method Correlation with pulmonary function test From date of inclusion until the date of final quantification, assessed up to 12 months Correlation of quantitative measurement with pulmonary function
Reproducibility From date of inclusion until the date of final quantification, assessed up to 12 months Evaluation of measurements when performed twice
Longitudinal variation over time From date of inclusion until the date of final quantification, assessed up to 12 months Comparison of quantitative measurement at two time points
Related Research Topics
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Trial Locations
- Locations (1)
Hopital Haut Leveque
🇫🇷Pessac, France
Hopital Haut Leveque🇫🇷Pessac, France