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

Maastricht University145 enrolled

Overview

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).

Study Type

OBSERVATIONAL

Enrollment

145

Conditions

Idiopathic Pulmonary Fibrosis Interstitial Lung Disease Radiomics

Interventions

Radiomics model to classify between IPF with UIP pattern and ILDs without UIP patternOTHER

The aim is to evaluate the performance of AI with the performance of doctors

Eligibility

Sex: ALLHealthy volunteers:

Medical Language ↔ Plain English

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

Locations (1)

Maastricht University

Maastricht, Limburg, Netherlands

Outcomes

Primary Outcomes

The performance of Radiomics algorithm compared to the ground truth

Reporting the performance measure: accuracy

Time frame: May 2021

Secondary Outcomes

Comparing the performance of the radiomics algorithm to that of physicians

Correctness of the diagnosis - the most probable thin-section pattern (dichotomous outcome: yes or no)

Time frame: June 2021

Data from ClinicalTrials.gov

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