Evaluation of the Reproducibility of the Automated Measurement of the Extent of Interstitial Lung Disease on Chest CT

Status: Recruiting
Location: See all (6) locations...
Intervention Type: Diagnostic test
Study Type: Interventional
Study Phase: Not Applicable
SUMMARY

In interstitial lung disease (ILD), the extent of ILD on chest computed tomography (CT) is recognized as an important prognostic factor. Automated tools are now available to quantify ILD, but there is a lack of data on the reproducibility of this measurement and therefore its accuracy. Therefore, the purpose of this study is to evaluate the variability of automated ILD quantification on chest CT. Reproducibility will be assessed by repeating chest CT scans and using different tools to measure the extent of disease.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:

• Age ≥ 18 years

• Known interstitial lung disease as part of idiopathic pulmonary fibrosis or connective tissue disease

• Followed in one of the participating hospitals

• Requiring a chest CT as part of a scheduled assessment

• Affiliated to a French national social security

• Informed consent

Locations
Other Locations
France
APHP - Bichat Hospital - Pneumology
RECRUITING
Paris
APHP - Bichat hospital - Radiology
RECRUITING
Paris
APHP - Bichat hospital - Rheumatology
RECRUITING
Paris
APHP - Cochin Hospital - Internal medicine
RECRUITING
Paris
APHP - Cochin Hospital - Pneumology
RECRUITING
Paris
APHP - Cochin Hospital - Radiology
RECRUITING
Paris
Contact Information
Primary
Guillaume CHASSAGNON, MD, PhD
guillaume.chassagnon@aphp.fr
+33158414326
Backup
Marie BENHAMMANI-GODARD
marie.godard@aphp.fr
0033158411190
Time Frame
Start Date: 2025-06-24
Estimated Completion Date: 2025-12
Participants
Target number of participants: 150
Treatments
Experimental: Patients with interstitial lung disease
Sponsors
Collaborators: URC-CIC Paris Descartes Necker Cochin
Leads: Assistance Publique - Hôpitaux de Paris

This content was sourced from clinicaltrials.gov