Quantification of Radiological Pulmonary Involvement in Acute Respiratory Failure

NCT ID: NCT04374734

Last Updated: 2021-10-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-04-05

Study Completion Date

2020-06-30

Brief Summary

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Acute respiratory failure (ARF) is a common condition and a common reason for urgent medical consultation. Assessing the extent of respiratory impairment is important to improve the management of patients with ARF. When Acute respiratory failure is caused by pathology of the pulmonary parenchyma, quantification of pulmonary radiographic involvement may be a component of the initial assessment of severity. This radiographic quantification would only be usable in clinical routine if it can be automated and provide a real-time result.

The objective of this work is to assess the feasibility of an automated technique for quantifying radiological lung damage in situations of known or potential ARF.

Detailed Description

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Conditions

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SARS (Severe Acute Respiratory Syndrome)

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Patients over 18 years of age
* Presenting a situation at risk of acute respiratory failure
* Requiring thorax imaging when they were treated.

Exclusion Criteria

* Patients with anatomically incomplete thoracic imaging (e.g., technical acquisition error).
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Hospital, Strasbourg, France

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Service d' Anesthésie Réanimation Chirurgicale

Strasbourg, , France

Site Status

Countries

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France

Other Identifiers

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7791

Identifier Type: -

Identifier Source: org_study_id

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