Using Pacs for Teaching Radiology to Undergraduate Medical Students Publisher Pubmed



Rita M¹ ; Aeen M¹ ; Rajabzadeh F² ; Saeed A³
Source: BMC Medical Education Published:2024

Abstract

Background: Traditional radiology education for medical students predominantly uses textbooks, PowerPoint files, and hard-copy radiographic images, which often lack student interaction. PACS (Picture Archiving and Communication System) is a crucial tool for radiologists in viewing and reporting images, but its use in medical student training remains limited. Objective: This study investigates the effectiveness of using PACS (Picture Archiving and Communication System) for teaching radiology to undergraduate medical students compared to traditional methods. Methods: Fifty-three medical students were divided into a control group (25 students) receiving traditional slide-based training and an intervention group (28 students) using PACS software to view complete patient images. Pre- and post-course tests and satisfaction surveys were conducted for both groups, along with self-evaluation by the intervention group. The validity and reliability of the assessment tools were confirmed through expert review and pilot testing. Results: No significant difference was found between the control and intervention groups regarding, gender, age, and GPA. Final multiple-choice test scores were similar (intervention: 10.89 ± 2.9; control: 10.76 ± 3.5; p = 0.883). However, the intervention group demonstrated significantly higher improvement in the short answer test for image interpretation (intervention: 8.8 ± 2.28; control: 5.35 ± 2.39; p = 0.001). Satisfaction with the learning method did not significantly differ between groups (intervention: 36.54 ± 5.87; control: 39.44 ± 7.76; p = 0.129). The intervention group reported high familiarity with PACS capabilities (75%), CT principles (71.4%), interpretation (64.3%), appropriate window selection (75%), and anatomical relationships (85.7%). Conclusion: PACS-based training enhances medical students’ diagnostic and analytical skills in radiology. Further research with larger sample sizes and robust assessment methods is recommended to confirm and expand upon theses results © The Author(s) 2024.