Transforming CT Technologist Training: Real-Time Feedback, Gamification, and Phantom-Based Education for Accurate Patient Positioning 📝

Author: Rebecca Lamoureux, Zahra (Zara) Razi, Zachary Whipps 👨‍🔬

Affiliation: University of New Mexico Hospital 🌍

Abstract:

Purpose: Patient mispositioning in CT imaging contributes to inconsistent radiation dose delivery and suboptimal image quality, impacting patient safety and diagnostic outcomes. This study evaluates a multifaceted educational program integrating anthropomorphic phantom-based training, real-time feedback, and gamified learning to improve technologist proficiency in patient positioning.
Methods: The training program was implemented in two phases. Phase 1 introduced lateral topograms to improve alignment accuracy in outpatient radiology. Phase 2 added interactive workshops, incorporating anthropomorphic phantoms and a tool that measures vertical misalignment (patient center vs. field-of-view center). The tool provided real-time feedback with visual overlays and color-coded indicators. Participants engaged in gamified learning, including a Jeopardy-style quiz, to reinforce positioning concepts and dose optimization principles. Statistical analysis included relative risks (RR) and 95% confidence intervals (CI) to compare pre- and post-intervention mispositioning rates, and descriptive statistics for dose indices (CTDIvol) and contrast-to-noise ratio (CNR). Baseline mispositioning rates of 10–20% were assumed, with power calculations targeting a 50% reduction.
Results: Data collection and analysis are ongoing. However, preliminary statistical modeling indicates the potential for a significant reduction in mispositioning rates and dose variability, with improvements in contrast-to-noise ratio and overall diagnostic image quality. Participant feedback is expected to demonstrate increased confidence and engagement, supported by gamified and interactive learning methods.
Conclusion: This innovative framework integrates practical tools, interactive education, and statistical evaluation to transform CT technologist training. By fostering skill development, engagement, and long-term retention, the program enhances patient safety and diagnostic precision

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