To Evaluate the Use of Radiomics to Classify Between Idiopathic Pulmonary Fibrosis and Interstitial Lung Disease

Idiopathic Pulmonary Fibrosis Clinical Trial

Official title:

Multi-center Validation of a Radiomics Based Model for the Diagnosis of Idiopathic Pulmonary Fibrosis

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04430491
• Other study ID #: RESPIRE_2019
• Status: Completed
• Start date: January 1, 2005
• Est. completion date: July 1, 2017

Study information

• Verified date: May 2020
• Source: Maastricht University
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

To investigate the ability of machine learning models based on radiomic features extracted from thin-section CT images to differentiate IPF patients from non-IPF interstitial lung diseases.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 300
• Est. completion date: July 1, 2017
• Est. primary completion date: January 1, 2017
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• UIP with final diagnosis in biopsy

• ILDs with final diagnosis in biopsy

Exclusion Criteria:

• patients with no biopsy confirmation

Related Conditions & MeSH terms

• Fibrosis
• Idiopathic Pulmonary Fibrosis
• Interstitial Lung Disease
• Lung Diseases
• Lung Diseases, Interstitial
• Pneumonia
• Pulmonary Fibrosis
• Usual Interstitial Pneumonia

Intervention

Diagnostic Test:
• radiomics
The high-throughput extraction of large amounts of quantitative image features from medical images

Locations

Country	Name	City	State
Netherlands	Maastricht University	Maastricht	Limburg

Sponsors (2)

Lead Sponsor	Collaborator
Maastricht University	Université Libre de Bruxelles

Country where clinical trial is conducted

Netherlands, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	IPF classifier	Model based on Radiomic that can differentiate IPF from ILDs.	Up to 30 weeks