Segmentation of Structural Abnormalities in Chronic Lung Diseases

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

800 participants

Study Classification

OBSERVATIONAL

Study Start Date

2008-01-01

Study Completion Date

2024-02-17

Brief Summary

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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.

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Detailed Description

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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.

Conditions

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Cystic Fibrosis Asthma COPD Interstitial Lung Disease

Study Design

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Observational Model Type

OTHER

Study Time Perspective

OTHER

Study Groups

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Train dataset

This group is dedicated to developing an automated algorithm

Observational study

Intervention Type OTHER

Test dataset

This group is dedicated to testing the semantic performance of an automated algorithm

Observational study

Intervention Type OTHER

Clinical Validations

Patients groups are dedicated to assessing the clinical validity of the measurement in independent validation cohorts, with or without longitudinal evaluations such as monitoring of a treatment effect