Statistical Evaluation of Diagnostic Radiation Exposure Across Imaging Modalities and Patient Demographics

Abstract

The increasing reliance on diagnostic imaging techniques that utilize ionizing radiation has raised important concerns regarding patient radiation exposure and associated health risks. This study presents a statistical analysis of diagnostic radiation doses received by patients undergoing common medical imaging procedures, including X-ray and computed tomography (CT) examinations. The objective of the study is to evaluate dose distribution patterns, identify factors influencing radiation exposure, and assess variability across different patient demographics and examination types.

Radiation dose data were collected along with relevant patient and procedural variables such as age, gender, type of scan, and anatomical region examined. Descriptive statistical methods were used to summarize exposure levels, while inferential statistical techniques, including regression analysis and hypothesis testing, were applied to determine significant relationships between radiation dose and influencing parameters. The results demonstrate notable variations in radiation exposure based on imaging modality and body part, with higher doses observed in advanced imaging procedures.

The findings highlight the importance of continuous monitoring and statistical evaluation of diagnostic radiation practices. By identifying trends and potential sources of unnecessary exposure, this study supports optimization strategies in accordance with radiation protection principles, particularly the ALARA concept. The statistical approach adopted in this study provides valuable insights for improving diagnostic protocols, enhancing patient safety, and promoting evidence-based decision-making in radiological practice.