Validation of a Semi-automatized Method to Detect Cyclic Hyperinflation on CT-scan in ARDS
NCT ID: NCT03870009
Last Updated: 2025-08-22
Study Results
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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COMPLETED
NA
31 participants
INTERVENTIONAL
2019-05-21
2021-02-16
Brief Summary
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The gold standard will be cyclic hyperinflation assessed on the same CT scan, using manual segmentation of the lung.
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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ARDS patients
All the patients will be evaluated with the same procedure, as the study relates to evaluation of the diagnostic performance of a semi-automated method to detect cyclic hyperinflation on CT scan
ARDS patients
The patient will be installed on the scanner bed. Two series of tomographic sections will be acquired: one during an expiratory break, the other during an inspiratory pause.
cyclic hyperinflation measured by semi-automatic segmentation and by manual segmentation
Interventions
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ARDS patients
The patient will be installed on the scanner bed. Two series of tomographic sections will be acquired: one during an expiratory break, the other during an inspiratory pause.
cyclic hyperinflation measured by semi-automatic segmentation and by manual segmentation
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* invasive mechanical ventilation with an arterial oxygen pressure (PaO2)/inspired fraction of oxygen (FiO2) ratio ≤ 200 mm Hg
* Indication of CT scan identified by the clinician in charge
* oesophageal catheter already inserted
Exclusion Criteria
* ARDS criteria present for more than 72 hours
* Chronic Obstructive Pulmonary Disease (COPD) on a previous lung function test
* pneumothorax or bronchopleural fistula
* patient without both sedation and neuromuscular blocking agents
* contra-indication to transport to the imaging facility
* treatment with extracorporeal membrane oxygenation or extracorporeal carbon dioxide (CO2) removal
* Latex or curare allergy
* patient previously included in the study
* pregnancy
* patient under limitation of care
* patient under an exclusion period following inclusion in another clinical trial
* patient under a legal protective measure
* patient unaffiliated with social security
* inform consent not obtained by next of kin
18 Years
ALL
No
Sponsors
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Hospices Civils de Lyon
OTHER
Responsible Party
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Principal Investigators
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Jean Christophe Richard
Role: PRINCIPAL_INVESTIGATOR
Hospices Civils de Lyon
Locations
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Croix Rousse Hospital
Lyon, , France
Countries
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References
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E. Dávila Serrano, François Dhelft, Laurent Bitker, Jean-Christophe Richard, Maciej Orkisz. Software for CT-image Analysis to Assist the Choice of Mechanical-ventilation Settings in Acute Respiratory Distress Syndrome. 2020 International Conference on Computer Vision and Graphics (ICCVG 2020), Sep 2020, Varsovie, Poland. ff10.1007/978-3-030-59006-2_5ff. ffhal-02887264
Other Identifiers
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2019-A00024-53
Identifier Type: OTHER
Identifier Source: secondary_id
69HCL18_1001
Identifier Type: -
Identifier Source: org_study_id
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