ANALYSIS OF POSITIONING TECHNIQUES IN THORACIC RADIOGRAPHY EXAMINATION IN THE RADIOLOGY INSTALLATION OF A GENERAL HOSPITAL

Abstract

The accurate interpretation of chest radiography is paramount in diagnosing a wide spectrum of thoracic pathologies, ranging from infectious diseases like pneumonia and tuberculosis to neoplastic conditions and cardiovascular abnormalities. Despite the ubiquitous nature of chest X-rays in clinical practice, the quality of diagnostic imaging is intrinsically linked to the precise execution of patient positioning techniques. Inadequate positioning can lead to significant image degradation, including anatomical distortion, foreshortening, and the obscuration of critical anatomical landmarks, thereby compromising diagnostic efficacy and potentially leading to misdiagnosis or delayed treatment. Current trends indicate a persistent challenge in achieving optimal positioning consistency across various healthcare settings, underscoring the practical significance of this issue. This study addresses a critical gap in the existing literature by providing a comprehensive analysis of the positioning techniques employed in routine chest radiography at public general hospitals, an area that often faces resource constraints and varying levels of radiographer training. This research aims to systematically evaluate the adherence to standardized positioning protocols for anteroposterior (AP) and posteroanterior (PA) chest radiographs, as well as lateral views, and to identify the primary factors influencing variations in technique. Specifically, this study seeks to quantify the prevalence of common positioning errors and to assess their impact on image quality metrics as defined by established radiologic quality assurance standards. The investigation is theoretically grounded in the principles of radiographic physics and anatomy, emphasizing how correct patient alignment optimizes X-ray beam penetration and minimizes superimposed structures, thereby enhancing diagnostic yield. A primary hypothesis posits that variations in radiographer experience and the availability of specific positioning aids significantly correlate with the accuracy of patient positioning. A descriptive cross-sectional design was employed to systematically analyze the positioning techniques utilized in the radiology departments of selected public general hospitals. This design was chosen for its suitability in capturing a snapshot of current practices and identifying prevalent issues within a defined population. A total of 200 chest radiography examinations (100 AP/PA and 100 lateral views) were retrospectively reviewed. The sample was purposively selected from patient records generated over a three-month period to ensure representativeness. Image quality was assessed by two experienced radiologic technologists using a validated checklist, which evaluated key positioning parameters such as patient inspiration, clavicle symmetry, scapula exclusion, and vertebral column alignment. The inter-rater reliability for the checklist was established at 0.85 (Cohen's Kappa), indicating high consistency in assessment. Statistical analysis involved descriptive statistics to detail error frequencies and inferential statistics, including chi-square tests and logistic regression, to explore the relationship between radiographer experience, available resources, and positioning accuracy. The findings revealed a significant prevalence of positioning errors, with 45% of PA/AP views exhibiting inadequate patient inspiration, and 32% showing asymmetrical clavicle positioning. Lateral views demonstrated a 28% rate of scapular overlap obscuring the posterior costophrenic angles. Radiographer experience emerged as a statistically significant predictor of positioning accuracy (p < 0.01), with those having more than five years of experience exhibiting a 60% lower likelihood of committing critical positioning errors compared to their less experienced counterparts. Furthermore, a notable correlation was found between the availability of dedicated positioning markers and reduced incidence of lateral projection errors (effect size, Cohen's d = 0.78). An unexpected finding was the higher rate of suboptimal positioning in examinations performed during peak patient load periods, suggesting a potential impact of workflow pressure. In conclusion, this study demonstrates that while chest radiography is a fundamental diagnostic tool, suboptimal patient positioning remains a prevalent issue in public general hospitals, directly impacting image quality and potentially diagnostic reliability. The results underscore the critical need for enhanced radiographer training programs focusing on advanced positioning techniques and the implementation of standardized quality control measures. The practical implications include improved diagnostic accuracy, reduced radiation exposure from repeat examinations, and more efficient patient throughput. Future research should explore the efficacy of specific training interventions and the development of AI-driven positioning feedback systems to further optimize chest radiography quality in resource-limited settings.