Assessment and Optimization of Paediatric Radiation Dose in Computed Tomography

Abstract

The main aim of this study is to assess and enhance the effectiveness of radiation dose optimization techniques in pediatric CT scanning to ensure diagnostic quality while minimizing patient risk.  Analyzing and reviewing past scans and employing scan statistics, it focuses on key dose metrics like volume computed tomography (CTDIvol). and dose length product (DLP). Radiology staff were interviewed to evaluate their understanding of dose – reduction protocols and their use of relevant technologies, such as minimizing tube current, minimizing tube potential, minimizing scan length Automatic Exposure Control, (AEC), iterative Reconstruction (IR), and artificial intelligence (AI). A study revealed significant variation in how CT scan is performed on children. While technologies like Automatic Exposure Control (AEC) and Iterative Reconstruction (IR) can reduce excess radiation, inconsistent staff training and equipment make it difficult to standardize safe radiation doses. Organized efforts for standardization have been spearheaded by professional societies such as the American Association of Physicists in guidelines, enhancing technologist training, and investing in new technology to develop safer radiological practices for children.