CT Metal Artifact Reduction Algorithm for Rib Cage Bone Evaluation in Polytrauma Patients: A Preliminary Study

Abstract

Chest injuries account for 25% of trauma-related deaths, with survivors often facing long-term consequences. Recent emphasis on early detection and management of chest injuries highlights the need for effective diagnostic tools. The Smart Metal Artifact Reduction (MAR) algorithm is designed to reduce artifacts caused by metallic materials in CT images, such as prostheses and screws, enhancing visualization of bone structures near implants. This improvement aids in the assessment of rib fractures and other pathologies, crucial for patients with thoracic injuries who require swift and accurate diagnoses. This study aimed to evaluate the impact of the MAR algorithm on the image quality, particularly of rib cage bones in chest CT scans in polytrauma patients with thoracic metallic devices such as medical monitoring equipment. The study found that while the MAR algorithm generally enhances diagnostic accuracy and aids in treatment planning, it can also introduce increased noise and artifacts, potentially leading to false positives. Therefore, radiologists are advised to compare CT images with and without MAR to ensure an accurate diagnosis. This approach ensures a more reliable interpretation of thoracic injuries in patients with metallic implants.