AI in the Identification of Lung Contusions Through Chest Radiological Examination in Blunt Thoracic Trauma
Artificial Intelligence in the Identification of Lung Contusions Through Chest Radiological Examination in Blunt Thoracic Trauma
1 other identifier
observational
135
1 country
1
Brief Summary
The observational study focuses on comparing the interpretation of chest radiological examinations performed using a computer-based system with the standard interpretation conducted by a radiologist. The "LUNIT" system serves as a tool designed to assist radiologists in detecting the 10 most common abnormalities visible on chest radiographs, with proven efficacy in large case series. The investigation addresses the need to evaluate lung injuries resulting from thoracic trauma, which are linked to a higher risk of complications requiring close monitoring to detect potential respiratory failure. The primary aim of the study is to assess the accuracy of the LUNIT system in interpreting chest radiographs for the identification of lung contusions compared to the standard radiologist-based interpretation.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Dec 2024
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 15, 2024
CompletedFirst Submitted
Initial submission to the registry
January 10, 2025
CompletedFirst Posted
Study publicly available on registry
January 15, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 15, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
June 15, 2025
CompletedJanuary 15, 2025
December 1, 2024
6 months
January 10, 2025
January 10, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
Sensitivity of lung contusion detection on chest X-rays, with LUNIT software
Sensitivity of lung contusion detection on chest X-rays, with and without the use of LUNIT software, compared to the gold standard: chest HRCT performed within 48 hours
through study completion, an average of 1 year
Eligibility Criteria
Patients presenting to the Emergency Department of the IRCCS AOU of Bologna between June 1, 2014, and June 1, 2024, for blunt thoracic trauma, with chest HRCT performed within 48 hours of the chest X-ray.
You may qualify if:
- 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
You may not qualify if:
- none
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
IRCCS Azienda Ospedaliero - Universitaria di Bologna
Bologna, 40138, Italy
Study Officials
- PRINCIPAL INVESTIGATOR
Veronica Salvatore, MD
IRCCS Azienda Ospedaliero-Universitaria di Bologna
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- OTHER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 10, 2025
First Posted
January 15, 2025
Study Start
December 15, 2024
Primary Completion
June 15, 2025
Study Completion
June 15, 2025
Last Updated
January 15, 2025
Record last verified: 2024-12
Data Sharing
- IPD Sharing
- Will not share