Digital Modeling of Thoracic CT and Pulmonary Fibrosis
Condition(s) studied
Study summary
Currently, to our knowledge, there is little data on the combination of tools based on a similar concept to understand and evaluate ILDs. It is expected that this portfolio of multi-tool software implemented in radiology departments, applied to routine thoracic TDM, will provide additional qualitative and quantitative information in real time that will be of great help for diagnosis, prognosis prediction, and treatment decision-making in ILDs.
Eligibility
Primary outcome measure(s)
- Qualitative and quantitative parameters obtained by in silico modeling of interstitial pattern, intra-pulmonary vascular remodeling and airway remodeling. — At 12 months after initial CT scan
Identify patients at risk of progressive and irreversible fibrosis and those who could respond to antifibrotic treatments, by developing the identification of qualitative and quantitative biomarkers from the numerical modeling of routine thoracic CT scans. - Specific mechanical parameters obtained by dynamic poromechanical modeling obtained by dynamic poromechanical modeling. — At 12 months after initial CT scan
Identify patients at risk of progressive and irreversible fibrosis and those who could respond to antifibrotic treatments, by developing the identification of qualitative and quantitative biomarkers from the numerical modeling of routine thoracic CT scans.
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| Hôpital Avicenne APHP | Bobigny | France |
More Assistance Publique - Hôpitaux de Paris trials in France
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT06618924 on ClinicalTrials.gov ↗ ← All trials in France