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Computed Tomography for COVID-19 Diagnosis

NCT04355507 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 10735

Last updated 2026-01-21

No results posted yet for this study

Summary

The purpose of this study is to build a large dataset of Computed Tomography (CT) images for identification of accurate CT criteria and development of deep learning-based solutions for diagnosis, quantification and prognostic estimation.

Conditions

Interventions

DIAGNOSTIC_TEST

Chest computed tomography (CT)

Chest computed tomography (CT) examination

DIAGNOSTIC_TEST

Reverse-transcription polymerase chain reaction (RT-PCR)

Identification of viral RNA by reverse-transcription polymerase chain reaction

Sponsors & Collaborators

  • Institut National de la Santé Et de la Recherche Médicale, France

    collaborator OTHER_GOV

  • GE Healthcare

    collaborator INDUSTRY

  • Orange healthcare

    collaborator UNKNOWN

  • TheraPanacea

    collaborator UNKNOWN

  • URC-CIC Paris Descartes Necker Cochin

    collaborator OTHER

  • Assistance Publique - Hôpitaux de Paris

    lead OTHER

Principal Investigators

  • Marie-Pierre REVEL, MD,PhD · Assistance Publique - Hôpitaux de Paris

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-03-01
Primary Completion
2020-10-16
Completion
2020-10-16

Countries

  • France

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04355507 on ClinicalTrials.gov