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Completed

NCT Number: NCT05282056

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

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.

Completed

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Key information

Conditions

COVID-19 Coronaviridae Infections Coronavirus Infections Infections Lung Diseases Nidovirales Infections Pneumonia Pneumonia, Viral RNA Virus Infections Respiratory Tract Diseases Respiratory Tract Infections Virus Diseases

Age range

16 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Pius Brinzeu Timisoara County Emergency Hospital

Timișoara, Timiș County, Romania

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • RT-PCR confirmed patients of COVID-19

Exclusion criteria

  • 15 or lower

Treatment and study plan

CAD analysis

Diagnostic Test

CAD shows the radiologist automatically delineated areas of potential COVID-19 affection, together with an overall lung affection percentage.

Primary outcomes

  1. Mean difference of lung affection quantification percentage

    Time frame: At CT acquisition time, up to 2 weeks

    The objective measurement of lung affection percentage is measured against pixel level labels. A lower difference mean better outcome.

Sponsors and collaborators

Lead sponsor

Bogdan Bercean

Industry

Collaborators

  • Pius Brinzeu Timisoara County Emergency Hospital

Registry information

Important dates

Study start
2022
Primary completion
2022
Study completion
2022
First posted
Mar 16, 2022
Registry last updated
May 4, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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