Using AI to identify lung injuries from chest X-rays in trauma patients
Artificial Intelligence in the Identification of Lung Contusions Through Chest Radiological Examination in Blunt Thoracic Trauma
This study is testing if an AI system can better spot lung injuries on chest X-rays compared to regular readings by doctors for patients with chest trauma.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 135 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | IRCCS Azienda Ospedaliero-Universitaria di Bologna Academic / other |
| Drugs / interventions | radiation |
| Locations | 1 site (Bologna) |
| Trial ID | NCT06777056 on ClinicalTrials.gov |
What this trial studies
This observational study compares the effectiveness of a computer-based system, LUNIT, in interpreting chest radiographs against standard interpretations by radiologists for detecting lung contusions in patients with blunt thoracic trauma. Patients presenting to the Emergency Department of IRCCS AOU of Bologna will have their chest X-rays analyzed by LUNIT and compared to traditional readings, with chest HRCT serving as the gold standard for accuracy. The study aims to enhance the identification of lung injuries, which is critical for managing potential complications such as respiratory failure.
Who should consider this trial
Good fit: Ideal candidates are adults aged 18 and older who have experienced blunt thoracic trauma and received a chest HRCT within 48 hours of a standard chest X-ray.
Not a fit: Patients who do not present with blunt thoracic trauma or those who do not undergo the required imaging procedures will not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to more accurate and timely identification of lung contusions, improving patient outcomes and reducing unnecessary imaging procedures.
How similar studies have performed: Other studies have shown promising results using AI for radiological interpretations, suggesting that this approach may be effective.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥ 18 years * Patients presenting to the general Emergency Department of the IRCCS AOU of Bologna between June 1, 2014, and June 1, 2024, for blunt thoracic trauma * Performance of chest HRCT within 48 hours of standard chest X-ray Exclusion Criteria: * none
Where this trial is running
Bologna
- IRCCS Azienda Ospedaliero - Universitaria di Bologna — Bologna, Italy (Recruiting)
Study contacts
- Principal investigator: Veronica Salvatore, MD — IRCCS Azienda Ospedaliero-Universitaria di Bologna
- Study coordinator: Veronica VS Salvatore, MD
- Email: veronica.salvatore@aosp.bo.it
- Phone: +390512144716
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.