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Segmentation of Structural Abnormalities in Chronic Lung Diseases

Active, not recruiting
Conditions
Asthma
Interstitial Lung Disease
Cystic Fibrosis
COPD
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
Inclusion Criteria
  • Patients with chronic lung disease and clinical examination, pulmonary function test, and CT acquired during a routine follow-up
Exclusion Criteria

Not provided

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Validity of automated measurementFrom 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
NameTimeMethod
Correlation with pulmonary function testFrom date of inclusion until the date of final quantification, assessed up to 12 months

Correlation of quantitative measurement with pulmonary function

ReproducibilityFrom date of inclusion until the date of final quantification, assessed up to 12 months

Evaluation of measurements when performed twice

Longitudinal variation over timeFrom date of inclusion until the date of final quantification, assessed up to 12 months

Comparison of quantitative measurement at two time points

Trial Locations

Locations (1)

Hopital Haut Leveque

🇫🇷

Pessac, France

Hopital Haut Leveque
🇫🇷Pessac, France

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