Subject: computed tomography (CT)
Subject: radiation exposure
Subject: optimization
Subject: tube voltage
Year: 2024
Type: Article
Title: OPTIMIZING RADIATION EXPOSURE IN PEDIATRIC CT EXAMS
Author: Nikolova, Sonja
Abstract: ABSTRACT: Introduction: The use of computed tomography (CT) scans in pediatric patients has raised concerns regarding radiation exposure and associated long-term health risks. This study explores the strategies and methodologies employed for optimizing radiation doses in pediatric CT examinations while ensuring diagnostic accuracy. Methods: Through a comprehensive literature review, various optimization techniques and protocols were analyzed. This involved investigating the use of lower tube voltage, iterative reconstruction algorithms, shielding, and specialized pediatric protocols. Additionally, the impact of dose-tracking systems and education on radiographers and clinicians was examined to ensure adherence to best practices. Results: The analysis revealed that employing lower tube voltage significantly reduces radiation exposure without compromising image quality, especially in children. Iterative reconstruction algorithms demonstrated promising results in maintaining image quality while reducing doses. Tailored pediatric protocols and dose-tracking systems further contributed to minimizing radiation exposure. Discussion: Balancing diagnostic accuracy with radiation safety is paramount in pediatric CT imaging. While advancements in technology offer promising solutions, interdisciplinary collaboration, continuous education, and strict adherence to optimized protocols are imperative to mitigate radiation risks in children undergoing CT examinations. Conclusion: Optimizing radiation exposure in pediatric CT exams involves a multifaceted approach, integrating technological advancements, protocol enhancements, and continuous education. Implementing these strategies ensures diagnostic efficacy while prioritizing the safety of pediatric patients. Keywords: computed tomography, radiation exposure, optimization, tube voltage. Field: Medical Sciences and Health
Publisher: Institute of Knowledge Management
Relation: KNOWLEDGE-International Journal
Identifier: oai:repository.ukim.mk:20.500.12188/29472
Identifier: 2545-4439
Identifier: 1857-923X
Identifier: http://hdl.handle.net/20.500.12188/29472
