An In Silico Trial to Evaluate Prospectively the Performance of a Radiomics Algorithm for UIP Compared to Medical Doctors
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
Limburg
-
Maastricht, Limburg, Netherlands, 6229ER
- Maastricht University
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
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 Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
IPF/UIP_CT based
patients with an ILD and a pathological UIP pattern and a final diagnosis of IPF
|
The aim is to evaluate the performance of AI with the performance of doctors
|
|
IPF/UIP_Biopsy based
patients with a final diagnosis of IPF but a less typical HRCT pattern( lung biopsy required for the diagnosis)
|
The aim is to evaluate the performance of AI with the performance of doctors
|
|
ILD but not IPF and prove by biopsy not UIP
patients with an ILD and a pathological non-UIP pattern
|
The aim is to evaluate the performance of AI with the performance of doctors
|
|
Normal
Normal healthy patients
|
The aim is to evaluate the performance of AI with the performance of doctors
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The performance of Radiomics algorithm compared to the ground truth
Time Frame: May 2021
|
Reporting the performance measure: accuracy
|
May 2021
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Comparing the performance of the radiomics algorithm to that of physicians
Time Frame: June 2021
|
Correctness of the diagnosis - the most probable thin-section pattern (dichotomous outcome: yes or no)
|
June 2021
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Comparing the performance of radiomics algorithm to that of individual doctor
Time Frame: June 2021
|
Correctness of the diagnosis - the most probable thin-section pattern (dichotomous outcome: yes or no)
|
June 2021
|
|
Comparing the reproducibility of diagnosis between the doctors
Time Frame: June 2021
|
Measuring the concordance in diagnosis in between the physicians, and for each physician separately, using the Concordance correlation coefficient.
|
June 2021
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- ISTRU
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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