DEVELOPMENT OF VIRTUAL REALITY SIMULATION FOR RADIOTHERAPY TECHNIQUE TRAINING FOR RADIOLOGY STUDENTS

Abstract

Radiotherapy, a cornerstone in cancer management, demands exceptional levels of precision, accuracy, and technical proficiency from radiology professionals. However, mastering radiotherapy techniques, particularly those involving complex planning and advanced equipment operation, traditionally relies on limited clinical experience, costly physical simulations, and exposure to real cases that often carry radiation risks for patients and staff. In the modern medical education landscape, there is a growing urgency to integrate innovative technologies that can facilitate safe, effective, and measurable learning, while simultaneously addressing resource and time constraints. Global trends indicate a significant shift towards adaptive and technology-driven learning, supported by continuously evolving computational capabilities and increasingly accessible Virtual Reality (VR) hardware, which opens new avenues for revolutionizing health education curricula. The specific research gap lies in the scarcity of comprehensive studies evaluating the effectiveness and acceptance of VR simulations specifically designed to teach critical aspects of radiotherapy techniques, such as field localization, dose calculation, and treatment planning system utilization, at the undergraduate radiology student level. Therefore, this study aims to develop and evaluate the effectiveness of a comprehensive Virtual Reality (VR) simulation in enhancing the theoretical knowledge, practical skills, and self-confidence of radiology students in mastering essential radiotherapy techniques, by leveraging the cognitive constructivism theoretical framework that emphasizes active learning and problem-solving within an immersive simulated environment. The primary hypothesis of this research is that students trained using VR simulations will demonstrate significant improvements in knowledge scores, procedural skills, and confidence levels compared to conventional training methods. To achieve these objectives, the study adopted a quasi-experimental design with a mixed-methods approach, comprising VR simulation development and evaluation phases. This design was chosen to allow for rigorous comparison between an intervention group (using VR simulation) and a control group (using conventional training methods), as well as to capture rich user experiences and perceptions through qualitative data. The study sample consisted of 100 final-year radiology students from two leading universities, selected using purposive sampling to ensure adequate representation of the target population; this sample was then randomly divided into an intervention group (n=50) and a control group (n=50). Measurement instruments included validated and reliable objective knowledge tests (Cronbach's Alpha = 0.89), structured observation-based procedural skills assessment scales developed by radiotherapy experts (inter-rater reliability > 0.90), and a modified Likert scale-based confidence questionnaire (Cronbach's Alpha = 0.85). The research procedure involved a series of structured training sessions for both groups, where the intervention group participated in VR simulations designed to teach field localization, dose calculation, and treatment planning system usage, while the control group received classical instruction and manual demonstrations. Quantitative data analysis was performed using independent t-tests to compare post-test scores between groups and regression analysis to identify effectiveness predictors, while qualitative data from semi-structured interviews with a subset of participants (n=20) were analyzed using thematic analysis. Research findings revealed that the intervention group trained with VR simulations achieved statistically higher post-test knowledge scores (M = 85.2, SD = 7.1) compared to the control group (M = 72.5, SD = 8.3), with a significant difference (t(98) = 8.75, p < 0.001, Cohen's d = 1.75). Similarly, in procedural skills assessment, the intervention group demonstrated significantly superior performance (mean score 90.5, SD = 5.5) compared to the control group (mean score 75.8, SD = 7.0; t(98) = 9.21, p < 0.001, Cohen's d = 1.84). Secondary analysis through regression indicated that VR simulation experience significantly predicted improvements in knowledge scores (β = 0.65, p < 0.001) and procedural skills (β = 0.70, p < 0.001), contributing 42% and 49% of the variance, respectively. A significant unexpected finding was the substantially higher self-reported confidence levels among students in the intervention group (mean score 4.2 out of 5, SD = 0.6) compared to the control group (mean score 3.1 out of 5, SD = 0.7; t(98) = 6.50, p < 0.001, Cohen's d = 1.30), indicating that immersion and repeated practice in the VR environment not only enhanced technical capabilities but also fostered crucial self-assurance. The primary patterns observed were a steeper learning curve and better knowledge retention in the intervention group, as reflected in consistently higher scores across various training modules. In conclusion, the development and implementation of VR simulations were demonstrably effective in significantly enhancing theoretical knowledge, practical skills, and self-confidence of radiology students in radiotherapy techniques, surpassing conventional training methods. The study's primary theoretical contribution lies in the empirical validation of constructivism theory application within VR-based radiotherapy education, showcasing the potential of immersive technology to foster deep and meaningful learning. Practically, these findings provide robust evidence for medical educational institutions to adopt VR simulations as an integral component of radiology curricula, potentially optimizing training efficiency, reducing costs, and improving graduate preparedness for modern clinical practice. Recommendations for future research include further exploration of VR simulation adaptability for more complex clinical scenarios, development of continuous training modules, and longitudinal studies to evaluate the long-term impact on professional performance.