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Automated Quantification of Radiologic Pulmonary Alteration During Acute Respiratory Failure (QUANTICO-RETRO)

U

University Hospital, Strasbourg, France

Status

Enrolling

Conditions

Respiratory Failure With Hypoxia
SARS-CoV-2 Infection

Treatments

Radiation: thoracic CT-scan

Study type

Observational

Funder types

Other

Identifiers

Details and patient eligibility

About

Automated quantification of the pulmonary volume impaired during acute respiratory failure could be helpful to assess patient severity during COVID-19 infection or perioperative medicine, for example.

This study aim at assessing the correlation between the amount of radiologic pulmonary alteration and the clinical severity in two clinical situation :

  1. SARS-CoV-2 infections
  2. Postoperative hypoxemic acute respiratory failure

Enrollment

1,000 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • patient with insurance covering
  • patient admitted to the participating hospitals for SARS-CoV-2 infection or postoperative acute hypoxemic respiratory failure between 01/01/2019 and 05/11/2020

Exclusion criteria

  • patient transferred to another hospital than the participating center during the 7 days following the CT scan

Trial design

1,000 participants in 2 patient groups

Patients with SARS-CoV-2 infection
Treatment:
Radiation: thoracic CT-scan
Patients with Postoperative hypoxemic respiratory failure
Treatment:
Radiation: thoracic CT-scan

Trial contacts and locations

2

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Central trial contact

Pierre DIEMUNSCH, MD; Eric NOLL, MD

Data sourced from clinicaltrials.gov

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