Artificial Intelligence-Based Evaluation of Chest X-Rays in Ventilator-Associated Pneumonia
Artificial Intelligence-Based Evaluation of Chest X-Rays in the Diagnosis of Ventilator-Associated Pneumonia in the Intensive Care Unit: A Retrospective Comparative Study
Ventilator-associated pneumonia (VAP) is a common and serious infection in critically ill patients receiving mechanical ventilation in intensive care units (ICUs). One of the key diagnostic criteria for VAP is the presence of a new or progressive infiltrate on chest X-ray; however, interpretation of bedside chest radiographs is often challenging and subject to inter-observer variability.
This retrospective observational study aims to evaluate the role of artificial intelligence (AI) in the assessment of chest X-rays in patients with VAP. Chest radiographs obtained before and at the time of VAP diagnosis will be analyzed using a deep learning-based AI tool (Chester the AI Radiology Assistant), and changes in "infiltration" and "pneumonia" probability scores will be assessed.
AI-based findings will be compared with clinical decisions and independent radiologist evaluations regarding the presence of new infiltrates. The study aims to determine the level of agreement between these approaches and to explore whether AI-based analysis can support a more objective and standardized interpretation of chest radiographs in the diagnosis of VAP.
Study Overview
Status
Status
Conditions
Conditions
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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Ankara
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Yenimahalle, Ankara, Turkey (Türkiye), 06370
- Dr. Abdurrahman Yurtaslan Ankara Oncology Hospital
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Adult patients (≥18 years)
- Admission to the anesthesia intensive care unit
- Requirement of invasive mechanical ventilation for at least 48 hours
- Clinical diagnosis of ventilator-associated pneumonia (VAP) based on institutional criteria
- Availability of at least one chest X-ray prior to VAP diagnosis and one chest X-ray at the time of diagnosis
- Availability of digital chest radiographs in the PACS system suitable for analysis
Exclusion Criteria:
- Age <18 years
- Absence of accessible digital chest radiographs
- Chest radiographs with severe technical limitations preventing evaluation
- Chest radiographs that could not be processed by the AI system (no score generated)
- Presence of extensive pre-existing infiltrative lung disease preventing reliable assessment of new infiltrates
- Missing key clinical data (e.g., VAP diagnosis date, mechanical ventilation duration)
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
|---|
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VAP Patients
This cohort includes adult patients admitted to the anesthesia intensive care unit who were mechanically ventilated for at least 48 hours and received a clinical diagnosis of ventilator-associated pneumonia (VAP).
For each patient, chest radiographs obtained prior to and at the time of VAP diagnosis were analyzed.
Images were evaluated by three approaches: clinical assessment, independent radiologist interpretation, and artificial intelligence-based analysis using the Chester AI system.
The study is observational, and no intervention was applied.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Change in Chester AI-derived Infiltration and Pneumonia Probability Scores Between Pre-diagnosis and VAP Diagnosis Chest X-rays
Time Frame: From pre-diagnosis chest X-ray to the time of VAP diagnosis (typically within 1-5 days)
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The primary outcome is the change in probability scores for "infiltration" and "pneumonia" generated by the Chester AI Radiology Assistant between chest X-rays obtained prior to VAP diagnosis and those obtained at the time of diagnosis.
These scores range from 0 to 1 and represent the likelihood of the presence of each finding.
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From pre-diagnosis chest X-ray to the time of VAP diagnosis (typically within 1-5 days)
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Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Healthcare-Associated Pneumonia
- Pathologic Processes
- Disease Attributes
- Respiratory Tract Infections
- Infections
- Respiratory Tract Diseases
- Lung Diseases
- Pneumonia
- Bacterial Infections
- Bacterial Infections and Mycoses
- Cross Infection
- Iatrogenic Disease
- Pathological Conditions, Signs and Symptoms
- Pneumonia, Ventilator-Associated
- Pneumonia, Bacterial
Other Study ID Numbers
Other Study ID Numbers
- 2026-02/23
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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