A semi-automated approach for measuring splenic injury using computed tomography

Area of Science:

• Medical imaging
• Radiology
• Trauma surgery

Background:

• Blunt abdominal trauma frequently causes splenic injuries.
• Accurate assessment of splenic injury severity is crucial for patient management.
• Current methods for quantifying spleen damage can be time-consuming.

Purpose of the Study:

• To develop and validate a semi-automated software method for quantifying spleen injury extent.
• To correlate splenic injury volume with injury severity scales.
• To establish a reproducible CT-based assessment for splenic trauma.

Main Methods:

• Utilized computed tomography (CT) scans from five blunt abdominal trauma patients.
• Developed a semi-automated software tool to segment spleen and identify injured tissue using Hounsfield units.
• Calculated the percentage of injured splenic tissue volume relative to total spleen volume.

Main Results:

• The semi-automated method successfully segmented spleen and injured areas.
• A positive correlation was observed between Abbreviated Injury Scale (AIS) grade and percent splenic injury volume.
• The software required minimal user input for analysis.

Conclusions:

• A semi-automated CT-based method can accurately quantify splenic injury extent.
• This approach offers a reproducible and efficient tool for trauma assessment.
• The method shows potential for improved clinical decision-making in splenic trauma cases.