COVID-19 Volumetric Quantification on Computer Tomography Using Computer Aided Diagnostics

XVision

Status: Completed

Conditions: COVID-19

Treatments: Diagnostic Test: CAD analysis

Study type: Interventional

Funder types: Industry; Other

Identifiers

NCT05282056

282/01.02.2022

Details and patient eligibility

About

The aim of the study is to asses the influence of computer aided diagnostic to the process of lung affection quantification on computer tomography in COVID-19 confirmed patients.

Full description

The lung involvement of COVID-19 patients has been showed to be correlated to clinical outcomes and became part of the clinical practice. Even though various scores can be used, the affection estimation is usually done on computer tomography, using radiologists's estimation skills which is a highly subjective process.

Artificial intelligence is a known objective constant and therefore a potential radiologist complement. This trial aims at studying the effect of using a computer aided diagnostic software integrated in the normal clinical practice of radiologists from Timisoara County Emergency Hospital. It uses the AI-PROBE analysis setup, which turns off the CAD outputs for randomly chosen 50% the cases (control) and then compares the radiological reports for differences between the two arms.

Enrollment: 200 patients

Sex: All

Ages: 16+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• RT-PCR confirmed patients of COVID-19

Exclusion criteria

• 15 or lower

Trial design

Primary purpose: Diagnostic

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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200 participants in 2 patient groups

CAD analysis

Experimental group

Description:

The XVision COVID-19 computer aided diagnostic software is used by radiologist at CT analysis time

Treatment:

Diagnostic Test: CAD analysis

No CAD analysis

No Intervention group

Description:

No CAD analysis is shown to radiologist.