Automated Quantification of Radiological Pulmonary Involvement in Acute Respiratory Failure
Trial Snapshot
- Phase
- Not Applicable
- Status
- Completed
- Sponsor
- Enrollment
- 100
- Locations
- 1
- Primary Endpoint
- Retrospective study of the relationship between severe forms of ARF and the extent of lung involvement
Study Overview
Brief Summary
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.
Study Design
- Study Type
- Observational
- Observational Model
- Case Only
- Time Perspective
- Retrospective
Eligibility Criteria
- Ages
- 18 Years to — (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- No
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).
Outcomes
Primary Outcomes
Retrospective study of the relationship between severe forms of ARF and the extent of lung involvement
Time Frame: 2 months
Secondary Outcomes
No secondary outcomes reported