An In Silico Trial to Evaluate Prospectively the Performance of a Radiomics Algorithm for UIP Compared to Medical Doctors

Completed

• Conditions: Idiopathic Pulmonary Fibrosis; Interstitial Lung Disease; Radiomics

• Registration Number: NCT05784207
• Lead Sponsor: Maastricht University

Brief Summary

The purpose of this study is to compare AI performance to doctor's performance in the evaluation of IPF/UIP and ILDs without UIP(proven by biopsy).

Detailed Description

Not available

Study Timeline

• Study Start: 2017-06-01
• Study First Submitted: 2021-05-19
• Primary Completion: 2021-12-30
• Study Completion: 2021-12-30
• Status Verified: 2023-03
• Study First Submitted QC: 2023-03-14
• Last Update Submitted: 2023-03-14
• Study First Posted: 2023-03-24
• Last Update Posted: 2023-03-24

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 145

Inclusion Criteria

• the availability of non-contrast-enhanced HRCT

Exclusion Criteria

• the use of contrast enhancement
• images containing metal or motion artifacts
• Images reconstructed with a slice thickness larger than 1.5 mm

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
The performance of Radiomics algorithm compared to the ground truth	May 2021	Reporting the performance measure: accuracy

Secondary Outcome Measures

Name	Time	Method
Comparing the performance of the radiomics algorithm to that of physicians	June 2021	Correctness of the diagnosis - the most probable thin-section pattern (dichotomous outcome: yes or no)

Trial Locations

Locations (1)

Maastricht University; 🇳🇱 Maastricht, Limburg, Netherlands