Segmentation of Structural Abnormalities in Chronic Lung Diseases (NOVAA)

Hôpital Haut Lévêque

Status: Active, not recruiting

Conditions: Asthma; Cystic Fibrosis; COPD; Interstitial Lung Disease

Treatments: Other: Observational study

Study type: Observational

Funder types: Other

Identifiers

NCT04760548

NOVAA

Details and patient eligibility

About

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.

Full 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.

Enrollment: 800 estimated patients

Sex: All

Ages: 3 to 70 years old

Volunteers: No Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:

• Patients with chronic lung disease and clinical examination, pulmonary function test, and CT acquired during a routine follow-up

Trial design

800 participants in 3 patient groups

Train dataset

Description:

This group is dedicated to developing an automated algorithm

Treatment:

Other: Observational study

Test dataset

Description:

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

Treatment:

Other: Observational study

Clinical Validations

Description:

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

Treatment:

Other: Observational study