Ventilator-Associated PneumoniaNCT07509697
Artificial Intelligence-Based Evaluation of Chest X-Rays in Ventilator-Associated Pneumonia
An observational study of Ventilator-Associated Pneumonia and Intensive Care Unit (ICU), run by Dr Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital at 1 site in Turkey (Türkiye).
Trial summary
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… Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Ventilator-Associated Pneumonia, Intensive Care Unit (ICU), Pneumonia, Bacterial
- How many people
- 119 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 1 Mar 2026to 25 Mar 2026
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: The study population consists of adult patients admitted to a tertiary care anesthesia intensive care unit who required invasive mechanical ventilation and received a clinical diagnosis of ventilator-associated pneumonia (VAP). Patients were identified retrospectively through hospital electronic medical records and infection control committee databases. This cohort represents a critically ill ICU population with high disease severity and diverse comorbid conditions.
Who may be able to join
- 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
Who cannot join
- 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)
Trial locations and contacts
1 site in 1 country.
Turkey (Türkiye)1 site
Dr. Abdurrahman Yurtaslan Ankara Oncology Hospital
Yenimahalle, Ankara, 06370
About this study
Official title: 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.
- Conditions
- Ventilator-Associated Pneumonia, Intensive Care Unit (ICU), Pneumonia, Bacterial, Artificial Intelligence (AI), Radiography, Thoracic
- Medical subject headings
- Pneumonia, Ventilator-Associated, Pneumonia, Bacterial
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| 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. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Change in Chester AI-derived Infiltration and Pneumonia Probability Scores Between Pre-diagnosis and VAP Diagnosis Chest X-rays
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.
Measured: From pre-diagnosis chest X-ray to the time of VAP diagnosis (typically within 1-5 days)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 Apr 2026
- Study start1 Mar 2026
- Primary completion20 Mar 2026
- Study completion25 Mar 2026
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Ventilator-Associated PneumoniaStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Retrospective
- Enrolment
- 119 participants (actual)
Sponsor and investigators
- Lead sponsor
- Dr Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Arif Timuroğlu, MD, Dr Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07509697
- Sponsor's protocol ID
- 2026-02/23
- Status last verified
- Mar 2026
- First submitted
- 26 Mar 2026
- Last updated
- 3 Apr 2026
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 3 Apr 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Artificial Intelligence-Based Evaluation of Chest X-Rays in the Diagnosis of Ventilator-Associated Pneumonia in the Intensive Care Unit: A Retrospective Comparative Study
- ClinicalTrials.gov ID
- NCT07509697
- Acronym / sponsor ID
- 2026-02/23
- Conditions
- Ventilator-Associated Pneumonia, Intensive Care Unit (ICU), Pneumonia, Bacterial, Artificial Intelligence (AI), Radiography, Thoracic
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 119 participants (actual)
- Lead sponsor
- Dr Abdurrahman Yurtaslan Ankara Oncology Training and Research HospitalUniversity, hospital or other
- Study start
- 1 Mar 2026 (actual)
- Primary completion
- 20 Mar 2026 (actual)
- Study completion
- 25 Mar 2026 (actual)
- First posted
- 3 Apr 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Observational model
- Cohort
- Time perspective
- Retrospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| 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. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- The study population consists of adult patients admitted to a tertiary care anesthesia intensive care unit who required invasive mechanical ventilation and received a clinical diagnosis of ventilator-associated pneumonia (VAP). Patients were identified retrospectively through hospital electronic medical records and infection control committee databases. This cohort represents a critically ill ICU population with high disease severity and diverse comorbid conditions.
Key inclusion criteria (6 listed)
- 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
Key exclusion criteria (6 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
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)
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.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 3 Apr 2026.
Related trials for Ventilator-Associated Pneumonia
RecruitingPhase 4
EaRly impAct theraPy With Ceftazidime-avibactam Via rapID Diagnostics
Blood Stream Infections, Ventilator Associated Pneumonia
Not yet recruitingPhase 3
Cefepime-Zidebactam Versus Ceftazidime-Avibactam With or Without Colistin for Hospital-Acquired or Ventilator-Associated Bacterial Pneumonia
Hospital Acquired Bacterial Pneumonia (HABP), Ventilator Associated Bacterial Pneumonia (VABP)
Recruiting
Immediate Versus Substantiated Antibiotic Therapy in Suspected Non-Severe Ventilator-Associated Pneumonia
Ventilator-Associated Pneumonia (VAP)
Not yet recruiting
Mobile-Based Microlearning for Improving ICU Nurses' Adherence to Ventilator-Associated Pneumonia Prevention Protocols
Ventilator-Associated Pneumonia
Not yet recruiting
Closed Versus Open Endotracheal Suctioning and Ventilator-Associated Pneumonia in Severe Traumatic Brain Injury
Ventilator-associated Pneumonia, Traumatic Brain Injury
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Ventilator-Associated Pneumonia and Intensive Care Unit (ICU), run by Dr Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital at 1 site in Turkey (Türkiye).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 6 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 3 Apr 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Turkey (Türkiye). Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
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)). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Apr 2026.