Comparative Analysis of Image Quality and Radiation Dose in Digital vs. Analog Radiography

Thesis Abstract

The comparative assessment of digital and analog radiography regarding image quality and radiation exposure is critical to optimizing diagnostic efficacy while minimizing patient risk in medical imaging practices. This study aims to systematically evaluate and compare the image quality parameters and radiation doses administered in digital radiography (DR) versus traditional analog radiography (AR), thereby informing clinical decision-making and radiological protocol development. The specific objectives include quantifying image quality metrics such as contrast resolution, spatial resolution, and noise levels in both modalities, alongside measuring and analyzing the effective radiation doses received by patients undergoing common radiographic procedures. The research adopts a cross-sectional comparative design conducted within a major tertiary hospital where both digital and analog radiographic systems are operational. The target population comprises adult patients aged 18-65 years undergoing chest, extremity, and abdominal radiographs, encompassing a total population of approximately 2,000 patients. A stratified random sampling technique is employed to select a sample of 300 patients proportionally divided between the digital and analog modalities, ensuring representative variability across different procedures and patient demographics. Data collection utilizes calibrated dosimeters for precise measurement of radiation doses during each radiographic session, while image quality assessment is performed through objective Computer-Assist Image Quality Evaluation Software and subjective evaluations by a panel of blinded radiologists based on established criteria such as the American College of Radiology (ACR) Image Quality Reporting and Record Keeping Guidelines. Statistical analysis involves descriptive statistics to summarize image quality scores and radiation doses, accompanied by inferential techniques including independent t-tests for continuous variables and ANOVA tests to analyze differences across multiple groups. Multiple regression analysis is applied to identify predictors of image quality and dose variation, while correlation analyses explore relationships between image quality parameters and dose levels within each modality. The Theoretical Framework is underpinned by the Optimization of Radiation Protection Theory, which emphasizes balancing diagnostic benefits against potential biological risks, and the Information Processing Theory, relevant to the evaluation of image clarity and diagnostic accuracy. Preliminary expected findings suggest that digital radiography will demonstrate superior contrast resolution and lower variability in image quality scores compared to analog radiography, approximating to a statistically significant degree (p < 0.05). Concurrently, digital systems are anticipated to yield a reduced average radiation dose, with potential percentage reductions of approximately 20-30%, attributed to advances in detector efficiency and exposure automatic optimization features. The study potentially identifies specific factors influencing dose and quality outcomes, such as positioning protocols, equipment calibration, and operator expertise. This research significantly contributes to existing knowledge by providing a rigorous, quantitative comparison of two prevalent radiographic modalities, emphasizing their respective advantages and limitations from both patient safety and diagnostic accuracy perspectives. Its findings aim to inform evidence-based guidelines for radiographic practice, support the development of standardized imaging protocols, and foster implementation of dose reduction strategies without compromising image quality. It also paves the way for further research into technological innovations and training interventions that could enhance radiographic safety and effectiveness. The study concludes that digital radiography not only improves image quality but also offers considerable reductions in radiation exposure compared to traditional analog methods, affirming its adoption as a recommended standard in clinical radiology. Recommended actions include regular calibration and quality assurance checks of digital systems, targeted radiographer training, and adherence to optimized exposure protocols. Future investigations should explore long-term outcome measures, cost-effectiveness analyses, and the integration of emerging imaging technologies to further refine radiographic practice and enhance patient care.